Research Area Publications by Year

2013

Learning the Structure of Sum-Product Networks

R. Gens, P. DomingosInternational Conference on Machine LearningOmnipress, 2013.
Downloads: PDF 

Attribute Based Object Identification

Y. Sun, L. Bo, D. FoxIEEE International Conference on Robotics and Automation (ICRA), 2013.
Downloads: PDF 

Compact RGBD surface models based on sparse coding

M. Ruhnke, L. Bo, D. Fox, D. BurgardProc. of the AAAI Conference on Artificial Intelligence, 2013.
Downloads: PDF 

Multipath Sparse Coding Using Hierarchical Matching Pursuit

L. Bo, X. Ren, D. FoxIEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Downloads: PDF BIB 

RGB-D Flow: Dense 3-D Motion Estimation Using Color and Depth

E. Herbst, X. Ren, D. FoxIEEE International Conference on Robotics and Automation (ICRA), 2013.
Downloads: PDF 

RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark

K. Lai, L. Bo, X. Ren, D. FoxConsumer Depth Cameras for Computer Vision: Research Topics and Applications, 2013.
Downloads: LINK bibtex 

Structured sparse learning of multiple Gaussian graphical model

K. Mohan, M. Chung, S. Han, D. Witten, S.I. Lee, M. FazelAdvances in Neural Information Processing Systems (NIPS), 2013.

2012

DuploTrack: A Realtime System for Authoring and Guiding Duplo Block Assembly

A. Gupta, D. Fox, B. Curless, M. CohenACM Symposium on User Interface Software and Technology (UIST), 2012.
Downloads: PDF Project page 

Open Domain Event Extraction from Twitter

A. Ritter,  Mausam, O. Etzioni, S. ClarkKDD, 2012.
Downloads: PDF 

Discovering Hidden Structure in Factored MDPs

A. Kolobov,  Mausam, D.S. WeldArtificial Intelligence 189, 2012.

CoSolve: A System for Engaging Users in Computer-Supported Collaborative Problem Solving

S.B. Fan, T. Robison, S.L. TanimotoInt'l. Symp. on Visual Languages and Human-Centric Computing, 2012.

Entity Linking at Web Scale

T. Lin,  Mausam, O. EtzioniJoint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012.

A Joint Model of Language and Perception for Grounded Attribute Learning

C. Matuszek, N. FitzGerald, L. Zettlemoyer, L. Bo, D. FoxProceedings of the International Conference on Machine Learning (ICML), 2012.
Downloads: PDF 

Learning to Parse Natural Language Commands to a Robot Control System

C. Matuszek, E. Herbst, L. Zettlemoyer, D. FoxInternational Symposium on Experimental Robotics (ISER), 2012.
Downloads: PDF 

Rel-grams: A Probabilistic Model of Relations in Text

N. Balasubramanian, S. Soderland,  Mausam, O. EtzioniJoint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX) at NAACL, 2012.

Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors

A. Kolobov, P. Dai,  Mausam, D.S. WeldICAPS, 2012.

Unsupervised Feature Learning for RGB-D Based Object Recognition

L. Bo, X. Ren, D. FoxISER, 2012.
Downloads: PDF bibtex 

3D Object Retrieval Using Salient Views

I. Atmosukarto, L.G. ShapiroInternational Journal of Multimedia Information Retrieval, 2012.

Discriminative Learning for Joint Template Filling

E. Minkov, L. ZettlemoyerProceedings of the Association for Computational Linguistics (ACL), 2012.

Dynamically Switching between Synergistic Workflows for Crowdsourcing

C.H. Lin,  Mausam, D.S. WeldAAAI Conference on Artificial Intelligence, 2012.
Downloads: PDF 

No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities

T. Lin,  Mausam, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2012.

Open Language Learning for Information Extraction

Mausam, M. Schmitz, R. Bart, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CONLL), 2012.

A Theory of Goal-Oriented MDPs with Dead Ends

A. Kolobov,  Mausam, D. WeldConference on Uncertainty in Artificial Intelligence (UAI), 2012.

Crowdsourcing Control: Moving Beyond Multiple Choice

C.H. Lin,  Mausam, D.S. WeldConference on Uncertainty in Artificial Intelligence, 2012.

RGB-D Mapping: Using Kinect-Style Depth Cameras for Dense 3D Modeling of Indoor Environments

P. Henry, M. Krainin, E. Herbst, X. Ren, D. FoxInternational Journal of Robotics Research 31:5, 2012.
Downloads: PDF bibtex 

A Few Useful Things to Know about Machine Learning

P. DomingosCommunications of the ACM 55:10, 2012.

A Tractable First-Order Probabilistic Logic

P. Domingos, A. WebbTwenty-Sixth AAAI Conference on Artificial Intelligence, 2012.

Counting-MLNs: Learning Relational Structure for Decision Making

A. Nath, M. RichardsonAAAI Conference on Artificial Intelligence, 2012.

Detection-based Object Labeling in 3D Scenes

K. Lai, L. Bo, X. Ren, D. FoxICRA, 2012.
Downloads: PDF bibtex video code 

Discriminative Learning of Sum-Product Networks

R. Gens, P. DomingosNeural Information Processing Systems, 2012.
Downloads: PDF 

Exploiting Segmentation for Robust 3D Object Matching

M. Krainin, K. Konolige, D. FoxICRA, 2012.
Downloads: PDF bibtex slides 

Fine-Grained Entity Recognition

X. Ling, D.S. WeldAAAI Conference on Artificial Intelligence, 2012.
Downloads: Code 

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model

Y. Huang, A.L. Friesen, T.D. Hanks, M.N. Shadlen, R.P.N. RaoAdvances in Neural Information Processing Systems (NIPS), 2012.
Downloads: PDF bibtex 

Interactive singulation of objects from a pile

L. Chang, J. Smith, D. FoxICRA, 2012.
Downloads: PDF 

Learning Multiple Hierarchical Relational Clusterings

A. Nath, P. DomingosICML-12 Workshop on Statistical Relational Learning, 2012.

Learning STRIPS Operators from Noisy and Incomplete Observations

K. Mourão, L.S. Zettlemoyer, R.P.A. Petrick, M. SteedmanConference on Uncertainty in Artificial Intelligence (UAI) abs/1210.4889, 2012.

LRTDP vs. UCT for Online Probabilistic Planning

A. Kolobov,  Mausam, D.S. WeldAAAI Conference on Artificial Intelligence, 2012.

ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks

S. Amershi, J. Fogarty, D.S. WeldProceedings of the ACM Conference on Human Factors in Computing Systems (CHI-12), 2012.

RevMiner: an extractive interface for navigating reviews on a smartphone

J. Huang, O. Etzioni, L. Zettlemoyer, K. Clark, C. LeeProceedings of the 25th annual ACM symposium on User interface software and technology (UIST)ACM, 2012.

2011

Classification and Semantic Mapping of Urban Environments

B. Douillard, D. Fox, F. Ramos, H. Durrant-WhyteInternational Journal of Robotics Research 30:1, 2011.
Downloads: PDF 

Gambit: An Autonomous Chess Playing Manipulator

C. Matuszek, B. Mayton, R. Aimi, L. Bo, M. Deisenroth, R. Chu, M. Kung, L. LeGrand, J. Smith, D. FoxICRA, 2011.
Downloads: PDF 

Online Structure Learning for Markov Logic Networks

T. Huynh, R. MooneyThe European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees

J. Gonzalez, Y. Low, A. Gretton, C. Guestrin14th International Conference on Artificial Intelligence and Statistics, 2011.

PILCO: A Model-Based and Data-Efficient Approach to Policy Search

M. Deisenroth, C. RasmussenInternational Conference on Machine Learning, 2011.

Artificial Intelligence for Artificial Artificial Intelligence

P. Dai,  Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2011.

Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models

C. Kiddon, P. DomingosAAAI Conference on Artificial Intelligence, 2011.

Effective End-User Interaction with Machine Learning

S. Amershi, J. Fogarty, A. Kapoor, D. TanAAAI Conference on Artificial Intelligence, 2011.

Human Intelligence Needs Artificial Intelligence

D. Weld,  Mausam, P. DaiHuman Computation Workshop, 2011.

A Hierarchical Architecture for Adaptive Brain-Computer Interfacing

Mike Chung, W. Cheung, R. Scherer, R. RaoInternational Joint Conference on Artificial Intelligence, 2011.

Bootstrapping Semantic Parsers from Conversations

Y. Artzi, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2011.

Data-Driven Response Generation in Social Media

A. Ritter, C. Cherry, B. DolanConference on Empirical Methods in Natural Language Processing, 2011.

Gaze Following as Goal Inference: A Bayesian Model

A. Friesen, R. RaoConference of the Cognitive Science Society, 2011.

Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage

S. Amershi, B. Lee, A. Kapoor, R. Mahajan, B. ChristianInternational Joint Conference on Artificial Intelligence, 2011.

Identifying Relations for Open Information Extraction

A. Fader, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2011.

Named Entity Recognition in Tweets: An Experimental Study

A. Ritter, S. Clark,  Mausam, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2011.

Open Information Extraction: the Second Generation

O. Etzioni, A. Fader, J. Christensen, S. Soderland,  MausamInternational Joint Conference on Artificial Intelligence, 2011.

Using Multiple Models to Understand Data

K. Patel, S. Drucker, J. Fogarty, A. Kapoor, D. TanInternational Joint Conference on Artificial Intelligence, 2011.

A Class of Submodular Functions for Document Summarization

H. Lin, J. BilmesAnnual Meeting of the Association for Computational Linguistics, 2011.

An Analysis of Open Information Extraction based on Semantic Role Labeling

J. Christensen,  Mausam, S. Soderland, O. EtzioniInternational Conference on Knowledge Capture, 2011.

Heuristic Search for Generalized Stochastic Shortest Path MDPs

A. Kolobov,  Mausam, D. Weld, H. GeffnerInternational Conference on Automated Planning and Scheduling, 2011.

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations

R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, D. WeldProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2011.
Downloads: Source Code 

Parallel Coordinate Descent for L1-Regularized Loss Minimization

J. Bradley, A. Kyrola, D. Bickson, C. GuestrinInternational Conference on Machine Learning , 2011.

Question Detection In Spoken Conversations Using Textual Conversations

A. Margolis, M. OstendorfAnnual Meeting of the Association for Computational Linguistics, 2011.

Word Alignment Via Submodular Maximization Over Matroids

H. Lin, J. BilmesAnnual Meeting of the Association for Computational Linguistics, 2011.

Inference Over the Web

S. SchoenmackersPHD Thesis, 2011.

Predictive Coding

Y. Huang, R. RaoWiley Interdisciplinary Reviews, 2011.

An ideal observer model for identifying the reference frame of objects

J. Austerweil, A. Friesen, T. GriffithsAnnual Conference on Neural Information Processing Systems, 2011.

Online Submodular Set Cover, Ranking, and Repeated Active Learning

A. Guillory, J. BilmesAnnual Conference on Neural Information Processing Systems, 2011.

Structure Learning for Optimization

C. ZhangAnnual Conference on Neural Information Processing Systems, 2011.

Implementing Weighted Abduction in Markov Logic

J. Blythe, J. Hobbs, P. Domingos, R. Kate, R. MooneyInternational Conference on Computational Semantics, 2011.

HeatWave: Thermal Imaging for Surface User Interaction

E. Larson, G. Cohn, S. Gupta, X. Ren, B. Harrison, D. Fox, S. PatelCHI, 2011.
Downloads: PDF 

Interactive 3D Modeling of Indoor Environments with a Consumer Depth Camera

H. Du, P. Henry, X. Ren, D. Fox, D. Goldman, S. SeitzUbiComp, 2011.
Downloads: PDF 

Lexical Generalization in CCG Grammar Induction for Semantic Parsing

T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. SteedmanProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.

Approximation by Quantization

V. Gogate, P. DomingosUncertainty in Artificial Intelligence, 2011.

Fault identification via non-parametric belief propagation

D. Bickson, D. Baron, A. Ihler, H. Avissar, D. DolevIEEE Transactions on Signal Processing, 2011.

Probabilistic Theorem Proving

V. Gogate, P. DomingosUncertainty in Artificial Intelligence, 2011.

Sum-Product Networks: A New Deep Architecture

H. Poon, P. DomingosUncertainty in Artificial Intelligence, 2011.

A Large-Scale Hierarchical Multi-View RGB-D Object Dataset

K. Lai, L. Bo, X. Ren, D. FoxICRA, 2011.
Downloads: PDF bibtex poster dataset 

A Scalable Tree-based Approach for Joint Object and Pose Recognition

K. Lai, L. Bo, X. Ren, D. FoxAAAI, 2011.
Downloads: PDF bibtex slides 

Depth Kernel Descriptors for Object Recognition

L. Bo, X. Ren, D. FoxIROS, 2011.
Downloads: PDF BIB Code 

Learning GP-BayesFilters via Gaussian Process Latent Variable Models

J. Ko, D. FoxAutonomous Robots 30:1, 2011.
Downloads: PDF 

Manipulator and Object Tracking for In-Hand 3D Object Modeling

M. Krainin, P. Henry, X. Ren, D. FoxInternational Journal of Robotics Research 30:9, 2011.
Downloads: PDF bibtex 

Object Recognition with Hierarchical Kernel Descriptors

L. Bo, K. Lai, X. Ren, D. FoxCVPR, 2011.
Downloads: PDF bibtex 

RGB-D Object Discovery Via Multi-Scene Analysis

E. Herbst, X. Ren, D. FoxIROS, 2011.
Downloads: PDF slides bibtex 

Sparse Distance Learning for Object Recognition Combining RGB and Depth Information

K. Lai, L. Bo, R. X., D. FoxICRA, 2011.
Downloads: PDF bibtex slides 

Toward Object Discovery and Modeling via 3-D Scene Comparison

E. Herbst, P. Henry, X. Ren, D. FoxICRA, 2011.
Downloads: PDF slides bibtex 

Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera

A. Huang, N. Roy, A. Bachrach, P. Henry, M. Krainin, D. Maturana, D. FoxISRR, 2011.
Downloads: PDF bibtex 

2010

Character Animation in Two-Player Adversarial Games

K. Wampler, E. Andersen, E. Herbst, Y. Lee, Z. PopovicACM Transactions on Graphics, 2010.

Connecting the Dots Between News Articles

D. Shahaf, C. GuestrinKnowledge Discovery and Data Mining, 2010.

Learning to Navigate Through Crowded Environments

P. Henry, C. Vollmer, B. Ferris, D. FoxICRA, 2010.
Downloads: PDF 

Modeling and Reasoning about Success, Failure, and Intent of Multi-Agent Activities

A. Sadilek, H. KautzInternational Conference on Ubiquitous Computing, 2010.

Imitation Learning with Hierarchical Actions

A. Friesen, R. RaoIEEE International Conference on Development and Learning, 2010.

A Latent Dirichlet Allocation method for Selectional Preferences

A. Ritter,  Mausam, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2010.

Approximate Lifted Belief Propagation

P. Singla, A. Nath, P. DomingosWorkshop on Statistical Relational AI, 2010.

Bayesian Abductive Logic Programs

S. Raghavan, R. MooneyWorkshop on Statistical Relational AI, 2010.

Decision-Theoretic Control for Crowdsourced Workflows

P. Dai,  Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2010.

Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models

D. Wyatt, T. Choudhury, J. BilmesAAAI Conference on Artificial Intelligence, 2010.

Efficient Belief Propagation for Utility Maximization and Repeated Inference

A. Nath, P. DomingosAAAI Conference on Artificial Intelligence, 2010.

Efficient Lifting for Online Probabilistic Inference

A. Nath, P. DomingosAAAI Conference on Artificial Intelligence, 2010.
Downloads: Dataset 

Exploiting Logical Structure in Lifted Probabilistic Inference

V. Gogate, P. DomingosWorkshop on Statistical Relational AI, 2010.

Extracting Sequences from the Web

A. Fader, S. Soderland, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2010.

Formula-Based Probabilistic Inference

V. Gogate, P. DomingosUncertainty in Artificial Intelligence, 2010.

Grammar Prototyping and Testing with the LinGO Grammar Matrix Customization System

E. Bender, S. Drellishak, A. Fokkens, M.W. Goodman, D. Mills, L. Poulson, S. SaleemAnnual Meeting of the Association for Computational Linguistics, 2010.

Learning 5000 Relational Extractors

R. Hoffmann, D. WeldAnnual Meeting of the Association for Computational Linguistics, 2010.

Leveraging Ontologies for Lifted Probabilistic Inference and Learning

C. Kiddon, P. DomingosWorkshop on Statistical Relational AI, 2010.

Machine Reading: A "Killer App" for Statistical Relational AI

H. Poon, P. DomingosWorkshop on Statistical Relational AI, 2010.

Machine Reading: from Wikipedia to the Web

F. WuPHD Thesis, 2010.

Online Max-Margin Weight Learning with Markov Logic Networks

T. Huynh, R. MooneyWorkshop on Statistical Relational AI, 2010.

Open Information Extraction using Wikipedia

F. Wu, D. WeldAnnual Meeting of the Association for Computational Linguistics, 2010.

Panlingual Lexical Translation via Probabilistic Inference

Mausam, S. Soderland, O. EtzioniAAAI Conference on Artificial Intelligence, 2010.

Reading Between the Lines: Learning to Map High-level Instructions to Commands

S.R.K. Branavan, L. Zettlemoyer, R. BarzilayProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2010.

Recognizing Multi-Agent Activities from GPS Data

A. Sadilek, H. KautzAAAI Conference on Artificial Intelligence, 2010.

SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs

A. Kolobov,  Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2010.

Temporal Information Extraction

X. Ling, D. WeldAAAI Conference on Artificial Intelligence, 2010.
Downloads: Data Set 

Unsupervised Ontology Induction from Text

H. Poon, P. DomingosAnnual Meeting of the Association for Computational Linguistics, 2010.

User-Specific Learning for Recognizing a Singer’s Intended Pitch

A. Guillory, S. Basu, D. MorrisAAAI Conference on Artificial Intelligence, 2010.

Bottom-Up Learning of Markov Network Structure

J. Davis, P. DomingosInternational Conference on Machine Learning, 2010.

Hitting the Right Paraphrases in Good Time

S. Kok, C. BrockettAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Interactive Submodular Set Cover

A. Guillory, J. BilmesInternational Conference on Machine Learning, 2010.

Inverse Optimal Control with Linearly Solvable MDPs

K. Dvijotham, E. TodorovInternational Conference on Machine Learning, 2010.

Joint Inference for Knowledge Extraction from Biomedical Literature

H. Poon, L. VanderwendeAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Learning Markov Logic Networks Using Structural Motifs

S. Kok, P. DomingosInternational Conference on Machine Learning, 2010.

Machine Reading at the University of Washington

H. Poon, J. Christensen, P. Domingos, O. Etzioni, R. Hoffmann, C. Kiddon,  Mausam, A. Ritter, S. Soderland, D. Weld, F. Wu, T. Lin, X. Ling, S. SchoenmackersAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Semantic Role Labeling for Open Information Extraction

Mausam, S. Soderland, O. Etzioni, J. ChristensenAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Supporting rule-based representations with corpus-derived lexical information

A. Zaenen, C. Condoravdi, D. Bobrow, R. HoffmannAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Testing a Grammar Customization System with Sahaptin

S. DrellishakAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Unsupervised Modeling of Twitter Conversations

A. Ritter, C. Cherry, B. DolanAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Classical Planning in MDP Heuristics: With a Little Help from Generalization

A. Kolobov,  Mausam, D. WeldInternational Conference on Automated Planning and Scheduling, 2010.

Approximate Inference by Compilation to Arithmetic Circuits

D. Lowd, P. DomingosAnnual Conference on Neural Information Processing Systems, 2010.

A rational decision making framework for inhibitory control

P. Shenoy, R. Rao, A. YuAnnual Conference on Neural Information Processing Systems, 2010.

Learning Efficient Markov Networks

V. Gogate, W. Webb, P. DomingosAnnual Conference on Neural Information Processing Systems, 2010.

Lifted Inference Seen from the Other Side: The Tractable Features

A. Jha, V. Gogate, A. Meliou, D. SuciuAnnual Conference on Neural Information Processing Systems, 2010.

Reducing Model Bias in Reinforcement Learning

M. Deisenroth, C. RasmussenAnnual Conference on Neural Information Processing Systems, 2010.

Commonsense from the Web: Relation Properties

T. Lin,  Mausam, O. EtzioniAAAI Fall Symposium Series, 2010.

Identifying Functional Relations in Web Text

T. Lin,  Mausam, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2010.

Inducing Probabilistic CCG Grammars from Logical Form with Higher-order Unification

T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. SteedmanProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2010.

Learning First-Order Horn Clauses from Web Text

S. Schoenmackers, J. Davis, O. Etzioni, D. WeldConference on Empirical Methods in Natural Language Processing, 2010.

Grammar Customization

E.M. Bender, S. Drellishak, A. Fokkens, L. Poulson, S. SaleemResearch on Language and Computation 8:1, 2010.

Analysis of a Probabilistic Model of Redundancy in Unsupervised Information Extraction

O. Etzioni, S. Soderland, D. DowneyArtificial Intelligence 174:11, 2010.

Efficient Reinforcement Learning using Gaussian Processes

M. DeisenrothKIT Scientific Publishing, 2010.

Panlingual Lexical Translation via Probabilistic Inference

Mausam, S. Soderland, O. Etzioni, D. Weld, J. Bilmes, K. Reiter, M. Skinner, M. SammerArtificial Intelligence, 2010.

State-Space Inference and Learning with Gaussian Processes

R. Turner, M. Deisenroth, C. RasmussenInternational Conference on Artificial Intelligence and Statistics, 2010.

Twin Gaussian Processes for Structured Prediction

L. Bo, C. SminchisescuInternational Journal of Computer Vision, 2010.

Following Directions Using Statistical Machine Translation

C. Matuszek, D. Fox, K. KoscherHRI, 2010.
Downloads: PDF 

Kernel Descriptors for Visual Recognition

L. Bo, X. Ren, D. FoxNIPS, 2010.
Downloads: PDF BIB Code 

Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation

K. Lai, D. FoxInternational Journal of Robotics Research 29:8, 2010.
Downloads: PDF bibtex 

OneBusAway: Location-Aware Tools for Improving Public Transit Usability

B. Ferris, K. Watkins, A. BorningIEEE Pervasive Computing, 2010.
Downloads: pdf 

OneBusAway: Results from Providing Real-Time Arrival Information for Public Transit

B. Ferris, K. Watkins, A. BorningACM Conference on Human Factors in Computing Systems (CHI), 2010. Best Paper nomination.
Downloads: pdf 

RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

P. Henry, M. Krainin, E. Herbst, X. Ren, D. FoxISER, 2010.
Downloads: PDF bibtex 

2009

A Family of Large Margin Linear Classifiers and Its Applications to Feature-changing Problems

J. Shen, T. DietterichSIAM International Conference on Data Mining, 2009.

Probabilistic Abduction using Markov Logic Networks

R. Kate, R. MooneyIJCAI Workshop on Plan, Activity, and Intent Recognition, 2009.

Temporal-Informatics of the WWW

E. AdarPhD Thesis, 2009.

A game-building environment for research in collaborative design

S. Tanimoto, T. Robison, S. FanInt'l Symposium on Artificial Intelligence in GamesIEEE, 2009.

Efficient Reinforcement Learning for Motor Control

M. Deisenroth, C. RasmussenPhD Workshop on Systems and Control, 2009.

Focused Topological Value Iteration

P. Dai,  Mausam, D. WeldInternational Conference on Automated Planning and Scheduling, 2009.

Learning to Disambiguate Search Queries from Short Sessions

L. Mihalkova, R. MooneyEuropean Conference on Machine Learning, 2009.

Max-Margin Weight Learning for Markov Logic Networks

T. Huynh, R. MooneyEuropean Conference on Machine Learning, 2009.

A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search

J. Christensen,  Mausam, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2009.

Compiling a Massive, Multilingual Dictionary via Probabilistic Inference

Mausam, S. Soderland, O. Etzioni, D. Weld, M. Skinner, J. BilmesAnnual Meeting of the Association for Computational Linguistics, 2009.

Learning Context-dependent Mappings from Sentences to Logical Form

L. Zettlemoyer, M. CollinsProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2009.

Lemmatic Machine Translation

S. Soderland,  Mausam, O. Etzioni, C. Lim, J. Pool, B. QinMachine Translation Summit, 2009.

Reinforcement Learning for Mapping Instructions to Actions

S.R.K. Branavan, H. Chen, L. Zettlemoyer, R. BarzilayProceeding of the Annual Meeting of the Association for Computational Linguistics (ACL), 2009.

Unsupervised Semantic Parsing

H. Poon, P. DomingosConference on Empirical Methods in Natural Language Processing, 2009.

A Language for Relational Decision Theory

A. Nath, P. DomingosInternational Workshop on Statistical Relational Learning, 2009.

Cause and Intent: Social Reasoning in Causal Learning

N. Goodman, C. Baker, J. TenenbaumConference of the Cognitive Science Society, 2009.

Domain-Independent, Automatic Partitioning for Probabilistic Planning

P. Dai,  Mausam, D. WeldInternational Joint Conference on Artificial Intelligence, 2009.

Evaluating online text classification algorithms for email prediction in TaskTracer

V. Keiser, T. DietterichConference on Email and Anti-Spam, 2009.

Learning a Theory of Causality

N. Goodman, T. Ullman, J. TenenbaumConference of the Cognitive Science Society, 2009.

ReTrASE: Intergating Paradigms for Approximate Probabilistic Planning

A. Kolobov,  Mausam, D. WeldInternational Joint Conference on Artificial Intelligence, 2009.

Sensing and Predicting the Pulse of the City through Shared Bicycling

J. Froehlich, J. Neumann, N. OliverInternational Joint Conference on Artificial Intelligence, 2009.

Analytic Moment-based Gaussian Process Filtering

M. Deisenroth, M. Huber, U. HanebeckInternational Conference on Machine Learning, 2009.

Deep Transfer via Second-Order Markov Logic

J. Davis, P. DomingosInternational Conference on Machine Learning, 2009.

Distributed Parallel Inference on Large Factor Graphs

J. Gonzalez, Y. Low, C. Guestrin, D. O'HallaronUncertainty in Artificial Intelligence, 2009.

Turning Down the Noise in the Blogosphere

K. El-Arini, G. Veda, D. Shahaf, C. GuestrinKnowledge Discovery and Data Mining, 2009.

Unsupervised Morphological Segmentation with Log-Linear Models

H. Poon, C. Cherry, K. ToutanovaAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2009.

Amplifying Community Content Creation with Mixed Initiative Information Extraction

R. Hoffmann, S. Amershi, K. Patel, F. Wu, J. Fogarty, D. WeldConference on Human Factors in Computing Systems, 2009.

Learning Thin Junction Trees via Graph Cuts

D. Shahaf, A. Chechetka, C. GuestrinInternational Conference on Artificial Intelligence and Statistics, 2009.

Residual Splash for Optimally Parallelizing Belief Propagation

J. Gonzalez, Y. Low, C. GuestrinInternational Conference on Artificial Intelligence and Statistics, 2009.

Collective Modeling of Human Social Behavior

D. WyattAAAI Spring Symposium Series, 2009.

What Is This, Anyway: Automatic Hypernym Discovery

A. Ritter, S. Soderland, O. EtzioniAAAI Spring Symposium Series, 2009.

Detecting and Correcting User Activity Switches: Algorithms and Interfaces

J. Shen, J. Irvine, X. Bao, M. Goodman, S. Kolibaba, A. Tran, F. Carl, B. Kirschner, S. Stumpf, T. DietterichInternational Conference on Intelligent User Interfaces, 2009.

Discovering Frequent Work Procedures From Resource Connections

J. Shen, E. Fitzhenry, T. DietterichInternational Conference on Intelligent User Interfaces, 2009.

Learning to Generalize for Complex Selection Tasks

A. Ritter, S. BasuInternational Conference on Intelligent User Interfaces, 2009.

Competitive Learning for Deep Temporal Networks

R. Gens, P. DomingosAnnual Conference on Neural Information Processing Systems, 2009.

Conditional Neural Fields

J. Peng, L. Bo, J. XuAnnual Conference on Neural Information Processing Systems, 2009.

Dynamic Multi-Valued Network Models for Predicting Face-to-Face Conversations

D. Wyatt, J. Bilmes, T. ChoudhuryAnnual Conference on Neural Information Processing Systems, 2009.

Efficient Match Kernels between Sets of Features for Visual Recognition

L. Bo, C. SminchisescuAnnual Conference on Neural Information Processing Systems, 2009.

Filter, Rank, and Transfer the Knowledge: Learning to Chat

S. Jafarpour, C. Burges, A. RitterAnnual Conference on Neural Information Processing Systems, 2009.

Label Selection on Graphs

A. Guillory, J. BilmesAnnual Conference on Neural Information Processing Systems, 2009.

System Identification in Gaussian Process Dynamical Systems

R. Turner, M. Deisenroth, C. RasmussenAnnual Conference on Neural Information Processing Systems, 2009.

Identifying Interesting Assertions from the Web

T. Lin, O. Etzioni, J. FogartyACM Conference on Information and Knowledge Management, 2009.

Semi-Supervised Learning of Semantic Classes for Query Understanding – from the Web and for the Web

Y.Y. Wang, R. Hoffmann, X. Li, J. SzymanskiACM Conference on Information and Knowledge Management, 2009.

A Spotlight on Security and Privacy Risks with Future Household Robots: Attacks and Lessons

T. Denning, C. Matuszek, K. Koscher, J. Smith, T. KohnoInternational Conference on Ubiquitous Computing, 2009.

Anatomically Correct Testbed Hand Control: Muscle and Joint Control Strategies

A. Deshpande, J. Ko, D. Fox, Y. MatsuokaICRA, 2009.
Downloads: PDF 

A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains

N. Meuleau, E. Benazera, R. Brafman, E. Hansen,  MausamJournal of Artificial Intelligence Research, 2009.

Learning Markov Logic Network Structure via Hypergraph Lifting

S. Kok, P. DomingosInternational Conference on Machine Learning, 2009.

Unsupervised Methods for Determining Object and Relation Synonyms on the Web

A. Yates, O. EtzioniJournal of Artificial Intelligence Research, 2009.

Faring with Facets: Building and Using Databases of Student Misconceptions

T. Madhyastha, S. TanimotoJournal of Interactive Multimedia in EducationThe Open University, 2009.

GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models

J. Ko, D. FoxAutonomous Robots 27:1, 2009.
Downloads: PDF 

2008

Distributed Multirobot Exploration, Mapping, and Task Allocation

R. Vincent, D. Fox, J. Ko, K. Konolige, B. Limketkai, B. Morisset, C. Ortiz, D. Schulz, B. StewartAnnals of Mathematics and Artificial Intelligence 52:2–4, 2008.

Learning to Associate Image Features with CRF-Matching

F. Ramos, K. Waleed, D. FoxISER, 2008.
Downloads: PDF 

Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context From Wearable Sensors

A. Raj, A. Subramanya, D. Fox, J. BilmesExperimental Robotics: The 10th International SymposiumSpringer Verlag 39, 2008.

Church: A Language for Generative Models

N. Goodman, V. Mansinghka, D. Roy, K. Bonawitz, J. TenenbaumUncertainty in Artificial Intelligence, 2008.

Probabilistic Inference for Fast Learning in Control

C. Rasmussen, M. DeisenrothLecture Notes in Computer Science, 2008.

Towards the Automated Social Analysis of Situated Speech Data

D. Wyatt, T. Choudhury, J. Bilmes, J. KittsInternational Conference on Ubiquitous Computing, 2008.

A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC

H. Poon, P. Domingos, M. SumnerAAAI Conference on Artificial Intelligence, 2008.

Augmenting Wikipedia-Extraction with Results from the Web

F. Wu, R. Hoffmann, D. WeldAAAI Conference on Artificial Intelligence, 2008.

Hybrid Markov Logic Networks

J. Wang, P. DomingosAAAI Conference on Artificial Intelligence, 2008.

Information Extraction from Wikipedia: Moving Down the long Tail

F. Wu, R. Hoffmann, D. WeldKnowledge Discovery and Data Mining, 2008.

Intelligence in Wikipedia

D. Weld, F. Wu, E. Adar, S. Amershi, J. Fogarty, R. Hoffmann, K. Patel, M. SkinnerAAAI Conference on Artificial Intelligence, 2008.

Learning Hidden Curved Exponential Random Graph Models to Infer Face-to-Face Interaction Networks from Situated Speech Data

D. Wyatt, T. Choudhury, J. BilmesAAAI Conference on Artificial Intelligence, 2008.

Lifted First-Order Belief Propagation

P. Singla, P. DomingosAAAI Conference on Artificial Intelligence, 2008.

Modeling Semantic Cognition as Logical Dimensionality Reduction

Y. Katz, N. Goodman, K. Kersting, C. Kemp, J. TenenbaumConference of the Cognitive Science Society, 2008.

Partitioned External Memory Value Iteration

P. Dai,  Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2008.

Theory Acquisition and the Language of Thought

C. Kemp, N. Goodman, J. TenenbaumConference of the Cognitive Science Society, 2008.

Theory-Based Social Goal Inference

C. Baker, N. Goodman, J. TenenbaumConference of the Cognitive Science Society, 2008.

Evaluating a Crosslinguistic Grammar Resource: A Case Study of Wambaya

E. BenderAnnual Meeting of the Association for Computational Linguistics, 2008.

The Tradeoffs Between Open and Traditional Relation Extraction

M. Banko, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2008.

Automatically Refining the Wikipedia Infobox Ontology

F. Wu, D. WeldInternational World Wide Web Conference, 2008.

Evaluating Visual Cues for Window Switching on Large Screens

R. Hoffmann, P. Baudisch, D. WeldConference on Human Factors in Computing Systems, 2008.

Improving the Performance of Motor-Impaired Users with Automatically-Generated, Ability-Based Interfaces

K. Gajos, J. Wobbrock, D. WeldConference on Human Factors in Computing Systems, 2008.

Predictability and Accuracy in Adaptive User Interfaces

K. Gajos, K. Everitt, D. Tan, M. Czerwinski, D. WeldConference on Human Factors in Computing Systems, 2008.

Learning and Using Relational Theories

C. Kemp, N. Goodman, J. TenenbaumAnnual Conference on Neural Information Processing Systems, 2008.

Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification

D. Downey, O. EtzioniAnnual Conference on Neural Information Processing Systems, 2008.

Open Information Extraction from the Web

O. Etzioni, S. Soderland, D. Weld, M. BankoCommunications of the ACM, 2008.

Integrating Sensing and Cueing for More Effective Activity Reminders

J. Modayil, R. Levinson, C. Harman, D. Halper, H. KautzAAAI Fall Symposium Series, 2008.

It's a Contradiction -- No, It's Not: A Case Study using Functional Relations

A. Ritter, D. Downey, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2008.

Joint Unsupervised Coreference Resolution with Markov Logic

H. Poon, P. DomingosConference on Empirical Methods in Natural Language Processing, 2008.

Scaling Textual Inference to the Web

S. Schoenmackers, O. Etzioni, D. WeldConference on Empirical Methods in Natural Language Processing, 2008.

Recovering from Errors during Programming by Demonstration

J.H. Chen, D. WeldInternational Conference on Intelligent User Interfaces, 2008.

A Generative Model for Parsing Natural Language to Meaning Representations

W. Lu, H.T. Ng, W.S. Lee, L. ZettlemoyerProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2008.

Discovery of Social Relationships in Consumer Photo Collections using Markov Logic

P. Singla, H. Kautz, J. Luo, A. GallagherInternational Workshop on Semantic Learning and Applications in Multimedia, 2008.

Extracting Semantic Networks from Text via Relational Clustering

S. Kok, P. DomingosEuropean Conference on Machine Learning, 2008.

Learning Arithmetic Circuits

D. Lowd, P. DomingosUncertainty in Artificial Intelligence, 2008.

Planning with Durative Actions in Stochastic Domains

Mausam, D. WeldJournal of Artificial Intelligence Research 31, 2008.

Laser and Vision Based Outdoor Object Mapping

B. Douillard, D. Fox, F. RamosRSS, 2008.
Downloads: PDF 

Lifted probabilistic inference with counting formulas

B. Milch, L. Zettlemoyer, K. Kersting, M. Haimes, L.P. KaelblingProceedings of the National Conference on Artificial intelligence (AAAI), 2008.

Multi-agent filtering with infinitely nested beliefs

L. Zettlemoyer, B. Milch, L.P. KaelblingNeural Information Processing Systems (NIPS), 2008.

2007

CRF-Filters: Discriminative Particle Filters for Sequential State Estimation

B. Limketkai, D. Fox, L. LiaoICRA, 2007.
Downloads: PDF 

CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching

F. Ramos, D. Fox, H. Durrant-WhyteRSS, 2007.
Downloads: PDF 

Extending Markov Logic to Model Probability Distributions in Relational Domains

D. Jain, B. Kirchlechner, M. BeetzGerman Conference on Artificial Intelligence, 2007.

Application of a transparent interface methodology to image processing

L. Cinque, S.S. Canizares, S. TanimotoJ. Visual Languages and Computing 15:5, 2007.

Lexical Translation with Application to Image Search on the Web

O. Etzioni, K. Reiter, S. Soderland, M. SammerMachine Translation Summit, 2007.

Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data

D. Wyatt, T. Choudhury, J. BilmesInterspeech, 2007.

Autonomously Semantifying Wikipedia

F. Wu, D. WeldACM Conference on Information and Knowledge Management, 2007.

Navigating Extracted Data with Schema Discovery

O. Etzioni, M. Cafarella, D. SuciuInternational Workshop on the Web and Databases, 2007.

Sparse Information Extraction: Unsupervised Language Models to the Rescue

D. Downey, S. Schoenmackers, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2007.

Capturing Spontaneous Conversation and Social Dynamics: A Privacy Sensitive Data Collection Effort

D. Wyatt, T. Choudhury, H. KautzInternational Conference on Acoustic and Speech Signal Processing, 2007.

Unsupervised Resolution of Objects and Relations on the Web

A. Yates, O. EtzioniAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2007.

Joint Inference in Information Extraction

H. Poon, P. DomingosAAAI Spring Symposium Series, 2007.

Machine Reading

O. Etzioni, M. Banko, M. CafarellaAAAI Spring Symposium Series, 2007.

Creating Social Network Models from Sensor Data

D. Wyatt, T. Choudhury, J. BilmesAnnual Conference on Neural Information Processing Systems, 2007.

Assieme: Finding and Leveraging Implicit References in a Web Search Interface for Programmers

R. Hoffmann, J. Fogarty, D. WeldSymposium on User Interface Software and Technology, 2007.

Automatically Generating User Interfaces Adapted To User's Motor And Vision Capabilities

K. Gajos, J. Wobbrock, D. WeldSymposium on User Interface Software and Technology, 2007.

Strategies for Lifelong Knowledge Extraction from the Web

M. Banko, O. EtzioniInternational Conference on Knowledge Capture, 2007.

A Hybridized Planner for Stochastic Domains

Mausam, P. Bertoli, D. WeldInternational Joint Conference on Artificial Intelligence, 2007.

A Privacy-Sensitive Approach to Modeling Multi-Person Conversations

D. Wyatt, T. Choudhury, J. Bilmes, H. KautzInternational Joint Conference on Artificial Intelligence, 2007.

Locating Complex Named Entities in Web Text

D. Downey, M. Broadhead, O. EtzioniInternational Joint Conference on Artificial Intelligence, 2007.

Open Information Extraction from the Web

M. Banko, M. Cafarella, S. Soderland, M. Broadhead, O. EtzioniInternational Joint Conference on Artificial Intelligence, 2007.

Recursive Random Fields

D. Lowd, P. DomingosInternational Joint Conference on Artificial Intelligence, 2007.

Structured Querying of Web Text

M. Cafarella, D. Suciu, O. Etzioni, M. Banko, C. ReBiennial Conference on Innovative Data Systems Research, 2007.

When is temporal planning really temporal?

W. Cushing, S. Kambhampati,  Mausam, D. WeldInternational Joint Conference on Artificial Intelligence, 2007.

Efficient Weight Learning for Markov Logic Networks

D. Lowd, P. DomingosEuropean Conference on Principles and Practice of Knowledge Discovery in Databases, 2007.

Evaluating Temporal Planning Domains

W. Cushing, S. Kambhampati, K. Talamadupula, D. Weld,  MausamInternational Conference on Automated Planning and Scheduling, 2007.

Markov Logic in Infinite Domains

P. Singla, P. DomingosUncertainty in Artificial Intelligence, 2007.

Statistical Predicate Invention

S. Kok, P. DomingosInternational Conference on Machine Learning, 2007.

Structured Machine Learning: Ten Problems for the Next Ten Years

P. DomingosInternational Conference on Inductive Logic Programming, 2007.

A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition

B. Douillard, D. Fox, F. RamosISRR, 2007.
Downloads: PDF 

A Spatio-Temporal Probabilistic Model for Multi-Sensor Object Recognition

B. Douillard, D. Fox, F. RamosIROS, 2007.
Downloads: PDF 

Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields

L. Liao, D. Fox, H. KautzInternational Journal of Robotics Research 26:1, 2007.
Downloads: PDF 

Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp

J. Ko, D. Klein, D. Fox, D. HähnelICRA, 2007.
Downloads: PDF 

GP-UKF: Unscented Kalman Filters with Gaussian Process Prediction and Observation Models

J. Ko, D. Klein, D. Fox, D. HähnelIROS, 2007.
Downloads: PDF 

Hierarchical Conditional Random Fields for GPS-based Activity Recognition

L. Liao, D. Fox, H. KautzRobotics Research – Results of the 12th International Symposium ISRR, 2007.
Downloads: PDF 

Learning and Inferring Transportation Routines

L. Liao, D.  J. Patterson, D. Fox, H. KautzArtificial Intelligence 171:5-6, 2007. AAAI Outstanding Paper Award
Downloads: PDF 

Sequential input graphical model assessment diagrams for analysis of student activity data

S. Tanimoto, N. Evans, A. CarlsonInt'l Conf. on Advanced Learning TechnologieIEEE, 2007.

Towards a shared language for problem solving in design

S. TanimotoSymposium on the Science of Design, 2007.

Training Conditional Random Fields using Virtual Evidence Boosting

L. Liao, T. Choudhury, D. Fox, H. KautzIJCAI, 2007.
Downloads: PDF 

WiFi-SLAM Using Gaussian Process Latent Variable Models

B. Ferris, D. Fox, N. LawrenceIJCAI, 2007.
Downloads: PDF 

2006

Ambiguity Reduction for Machine Translation: Human-Computer Collaboration

M. Sammer, K. Reiter, S. Soderland, K. Kirchhoff, O. Etzionibiennial conference of the Association for Machine Translation in the Americas, 2006.

Detecting Parser Errors Using Web-based Semantic Filters

A. Yates, S. Schoenmackers, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2006.

Structured Queries Over Web Text

M. Cafarella, O. Etzioni, D. SuciuIEEE Data Engineering Bulletin, 2006.

Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives

T. Choudhury, M. Philipose, D. Wyatt, J. LesterIEEE Data Engineering Bulletin, 2006.

Automatically Generating Custom User Interfaces for Users With Physical Disabilities

K. Gajos, J.J. Long, D. WeldACM SIGACCESS Conference on Assistive Technologies, 2006.

Challenges for Temporal Planning with Uncertain Durations

Mausam, D. WeldInternational Conference on Automated Planning and Scheduling, 2006.

Entity Resolution with Markov Logic

P. Singla, P. DomingosIEEE International Conference on Data Mining, 2006.

Machine Reading

O. Etzioni, M. Banko, M. CafarellaAAAI Conference on Artificial Intelligence, 2006.

Markov Logic Networks

M. Richardson, P. DomingosMachine Learning Journal, 2006.

Memory-Efficient Inference in Relational Domains

P. Singla, P. DomingosAAAI Conference on Artificial Intelligence, 2006.

Probabilistic Temporal Planning with Uncertain Durations

Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2006.

Sound and Efficient Inference with Probabilistic and Deterministic Dependencies

H. Poon, P. DomingosAAAI Conference on Artificial Intelligence, 2006.

Unifying Logical and Statistical AI

P. Domingos, S. Kok, H. Poon, M. Richardson, P. SinglaAAAI Conference on Artificial Intelligence, 2006.

A transparent interface to statespace search programs

S. Tanimoto, S. LevialdiACM Symposium on Software Visualization (SoftVis 2006)Assoc. Comput. Machin., 2006.

Centibots: Very large scale distributed robotic teams

K. Konolige, D. Fox, C. Ortiz, A. Agno, M. Eriksen, B. Limketkai, J. Ko, B. Morisset, D. Schulz, B. Stewart, R. VincentExperimental Robotics: The 9th International SymposiumSpringer Verlag 21, 2006.
Downloads: PDF 

Distributed Multi-robot Exploration and Mapping

D. Fox, J. Ko, K. Konolige, B. Limketkai, B. StewartProc. of the IEEE 94:7, 2006.

Special Issue on Multirobot Systems

Downloads: PDF 

Gaussian Processes for Signal Strength-Based Location Estimation

B. Ferris, D. Hähnel, D. FoxRSS, 2006.
Downloads: PDF 

Recognizing Activities and Spatial Context using Wearable Sensors

A. Subramanya, A. Raj, J. Bilmes, D. FoxUAI, 2006.
Downloads: PDF 

2005

A Hierarchical Bayesian Approach to the Revisiting Problem in Mobile Robot Map Building

D. Fox, J. Ko, K. Konolige, B. StewartRobotics Research: The Eleventh International SymposiumSpringer Verlag, 2005.
Downloads: PDF 

Autonomous Terrain Mapping and Classification Using Hidden Markov Models

D. Wolf, G. Sukhatme, W. FoxICRA, 2005.
Downloads: PDF 

Probabilistic Robotics

S. Thrun, W. Burgard, D. FoxProbabilistic RoboticsMIT Press, 2005.

ISBN 0-262-20162-3

A Probabilistic Model of Redundancy in Information Extraction

D. Downey, O. Etzioni, S. SoderlandInternational Joint Conference on Artificial Intelligence, 2005.

Planning with Continuous Resources in Stochastic Domains

Mausam, E. Benazera, R. Brafman, N. Meuleau, E. HansenInternational Joint Conference on Artificial Intelligence, 2005.

Discriminative Training of Markov Logic Networks

P. Singla, P. DomingosAAAI Conference on Artificial Intelligence, 2005.

Unsupervised Activity Recognition Using Automatically Mined Common Sense

D. Wyatt, M. Philipose, T. ChoudhuryAAAI Conference on Artificial Intelligence, 2005.

Unsupervised Named-Entity Extraction from the Web: An Experimental Study

O. Etzioni, M. Cafarella, D. Downey, A.M. Popescu, S. Soderland, D. Weld, A. Yates, T. ShakedArtificial Intelligence, 2005.

A Search Engine for Natural Language Applications

M. Cafarella, O. EtzioniInternational World Wide Web Conference, 2005.

Extracting Product Features and Opinions from Reviews

O. Etzioni, A.M. PopescuConference on Empirical Methods in Natural Language Processing, 2005.

KnowItNow: Fast, Scalable Information Extraction from the Web

M. Cafarella, D. Downey, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2005.

Preference Elicitation for Interface Optimization

K. Gajos, D. WeldSymposium on User Interface Software and Technology, 2005.

Concurrent Probabilistic Temporal Planning

Mausam, D. WeldInternational Conference on Automated Planning and Scheduling, 2005.

Learning the Structure of Markov Logic Networks

S. Kok, P. DomingosInternational Conference on Machine Learning, 2005.

Mining social networks for viral marketing

P. DomingosIEEE Intelligent Systems, 2005.

Object identification with attribute-mediated dependencies

P. Singla, P. DomingosEuropean Conference on Principles and Practice of Knowledge Discovery in Databases, 2005.

Fine-Grained Activity Recognition by Aggregating Abstract Object Usage

D. Patterson, D. Fox, H. Kautz, M. PhiliposeProc. of the International Symposium on Wearable Computers, 2005.
Downloads: PDF 

Introduction to Python for Arti cial Intelligence

S. TanimotoReady NotesIEEE Computer Society, 2005.

Large-Scale Localization from Wireless Signal Strength

J. Letchner, D. Fox, A. LaMarcaAAAI, 2005.
Downloads: PDF 

Location-Based Activity Recognition

L. Liao, D. Fox, H. KautzNIPS, 2005.
Downloads: PDF 

Location-Based Activity Recognition using Relational Markov Networks

L. Liao, D. Fox, H. KautzIJCAI, 2005.
Downloads: PDF 

Naive Bayes Models for Probability Estimation

D. Lowd, P. DomingosInternational Conference on Machine Learning, 2005.

Relational Object Maps for Mobile Robots

B. Limketkai, L. Liao, D. FoxIJCAI, 2005.
Downloads: PDF 

2004

Mapping and Localization with RFID Technology

D. Hähnel, W. Burgard, D. Fox, K. Fishkin, M. PhiliposeICRA, 2004.
Downloads: PDF 

Real-time particle filters

C.T. Kwok, D. Fox, M. MeilăProceedings of the IEEE 92:2, 2004.

Special Issue on Sequential State Estimation

Downloads: PS 

Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison

O. Etzioni, M. Cafarella, D. Downey, A.M. Popescu, T. Shaked, S. Soderland, A. YatesAAAI Conference on Artificial Intelligence, 2004.

Modern Natural Language Interfaces to Databases: Composing Statistical Parsing with Semantic Tractability

A.M. Popescu, A. Armanasu, O. Etzioni, D. Ko, A. YatesInternational Conference on Computational Linguistics, 2004.

iMAP: Discovering Complex Semantic Matches between Database Schemas

R. Dhamankar, Y. Lee, A.H. Doan, A. Halevy, P. DomingosACM SIGMOD International Conference on Management of Data, 2004.

Semantic Email

O. Etzioni, L. McDowell, A. Halevy, H. LevyInternational World Wide Web Conference, 2004.

WebScale Information Extraction in KnowItAll (Preliminary Results)

O. Etzioni, M. Cafarella, D. Downey, S. Kok, A.M. Popescu, T. Shaked, S. Soderland, D. Weld, A. YatesInternational World Wide Web Conference, 2004.

Semantic Email: Theory and Applications

L. McDowell, O. Etzioni, A. HalevyJournal of Web Semantics, 2004.

The Specification of Agent Behavior by Ordinary People: A Case Study

L. McDowell, O. Etzioni, A. HalevyInternational Semantic Web Conference, 2004.

SUPPLE: Automatically Generating User Interfaces

K. Gajos, D. WeldInternational Conference on Intelligent User Interfaces, 2004.

Adversarial Classification

N. Dalvi, P. Domingos,  Mausam, S. Sanghai, D. VermaKnowledge Discovery and Data Mining, 2004.

Multi-relational record linkage

P. Singla, P. DomingosKDD Workshop on Multi-Relational Data Mining, 2004.

Solving Concurrent Markov Decision Processes

Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2004.

Bayesian Color Estimation for Adaptive Vision-based Robot Localization

D. Schulz, D. FoxIROS, 2004.
Downloads: PDF 

Learning and Inferring Transportation Routines

L. Liao, D. Fox, H. KautzAAAI, 2004.
Downloads: PDF 

Map-based Multiple Model Tracking of a Moving Object

C.T. Kwok, D. FoxRoboCup 2004: Robot Soccer World Cup VIII 3276, 2004.
Downloads: PDF 

Opportunity Knocks: a System to Provide Cognitive Assistance with Transportation Services

D. Patterson, L. Liao, K. Gajos, M. Collier, N. Livic, K. Olson, S. Wang, D. Fox, H. KautzUbiComp, 2004.
Downloads: PDF 

Reinforcement Learning for Sensing Strategies

C.T. Kwok, D. FoxIROS, 2004.
Downloads: PDF 

2003

Adapting the Sample Size in Particle Filters Through KLD-Sampling

D. FoxInternational Journal of Robotics Research 22:12, 2003.
Downloads: PDF 

Adaptive Real-time Particle Filters for Robot Localization

C.T. Kwok, D. Fox, M. MeilăICRA, 2003.
Downloads: PDF 

Bayesian Techniques for Location Estimation

D. Fox, J. Hightower, H. Kautz, L. Liao, D.  J. PattersonProc. of the UbiComp-2003 Workshop on Location-Aware Computing, 2003.
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Distributed Multi-Robot Mapping

D. Fox, J. Ko, B. Stewart, K. Konolige, B. LimetkaiMulti-Robot Systems: From Swarms to Intelligent AutomataKluwer II, 2003.

Map merging for distributed robot navigation

K. Konolige, D. Fox, J. Ko, B. Limketkai, B. StewartIROS, 2003.

Real-time Particle Filters

C.T. Kwok, D. Fox, M. MeilăNIPSMIT Press, 2003.
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Semantic Email: Adding Lightweight Data Manipulation Capabilities to the Email Habitat

O. Etzioni, A. Halevy, H. Levy, L. McDowellInternational Workshop on the Web and Databases, 2003.

Mangrove: Enticing Ordinary People onto the Semantic Web via Instant Gratification

L. McDowell, O. Etzioni, A. Halevy, H. Levy, S. Gribble, W. Pentney, D. Verma, S. VlassevaInternational Semantic Web Conference, 2003.

Trust management for the Semantic Web

M. Richardson, R. Agrawal, P. DomingosInternational Semantic Web Conference, 2003.

A Reliable Natural Language Interface To Household Appliances

A. Yates, O. Etzioni, D. WeldInternational Conference on Intelligent User Interfaces, 2003.

Towards a Theory of Natural Language Interfaces to Databases

A.M. Popescu, O. Etzioni, H. KautzInternational Conference on Intelligent User Interfaces, 2003.

Building large knowledge bases by mass collaboration

M. Richardson, P. DomingosInternational Conference on Knowledge Capture, 2003.

Learning with knowledge from multiple experts

M. Richardson, P. DomingosInternational Conference on Machine Learning, 2003.

Mining massive relational databases

G. Hulten, P. Domingos, Y. AbeInternational Workshop on Statistical Relational Learning, 2003.

A practical, decision-theoretic approach to multi-robot mapping and exploration

J. Ko, B. Stewart, D. Fox, K. Konolige, B. LimketkaiIROS, 2003.
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Bayesian Filtering for Location Estimation

D. Fox, J. Hightower, L. Liao, D. Schulz, G. BorrielloIEEE Pervasive Computing Magazine 2:3, 2003.

Special Issue on Dealing with Uncertainty

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CentiBOTS: Large-Scale Robot Teams

K. Konolige, C. Ortiz, R. Vincent, A. Agno, M. Eriksen, B. Limetkai, M. Lewis, L. Briesemeister, E. Ruspini, D. Fox, J. Ko, B. Stewart, L. GuibasMulti-Robot Systems: From Swarms to Intelligent AutomataKluwer II, 2003.

Inferring High-Level Behavior from Low-Level Sensors

D. Patterson, L. Liao, D. Fox, H. KautzUbiComp, 2003.
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People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters

D. Schulz, D. Fox, J. HightowerIJCAI, 2003.
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People Tracking with Mobile Robots Using Sample-based Joint Probabilistic Data Association Filters

D. Schulz, W. Burgard, D. FoxInternational Journal of Robotics Research 22:2, 2003.
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Research on Statistical Relational Learning at the University of Washington

P. Domingos, Y. Abe, C. Anderson, A. Doan, D. Fox, A. Halevy, G. Hulten, H. Kautz, T. Lau, L. Liao, J. Madhavan, D. Mausam, M. Richardson, S. Sanghai, D. Weld, S. WolfmanProc. of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, 2003.

The revisiting problem in mobile robot map building: A hierarchical Bayesian approach

B. Stewart, J. Ko, D. Fox, K. KonoligeUAI, 2003.
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Voronoi Tracking: Location Estimation Using Sparse and Noisy Sensor Data

L. Liao, D. Fox, J. Hightower, H. Kautz, D. SchulzIROS, 2003.
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2002

An Experimental Comparison of Localization Methods Continued

J.S. Gutmann, D. FoxIROS, 2002.
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An Overview of the Assisted Cognition Project

H. Kautz, L. Arnstein, G. Borriello, O. Etzioni, D. FoxAAAI Workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care, 2002.

Intelligent Ubiquitous Computing to Support Alzheimer's Patients: Enabling the Cognitively Disabled

D. Patterson, O. Etzioni, D. Fox, H. KautzUbiCog '02: First International Workshop on Ubiquitous Computing for Cognitive Aids, 2002.

Learning Hierarchical Object Maps Of Non-Stationary Environments With Mobile Robots

D. Anguelov, R. Biswas, D. Koller, B. Limketkai, S. Sanner, S. ThrunUAI, 2002.

Real-time Particle Filters Using Mixtures of Samples Sets

C.T. Kwok, D. Fox, M. MeilăAAAI/KDD/UAI-2002 Joint Workshop on Real-Time Decision Support and Diagnosis Systems, 2002.

Toward Object Mapping in Dynamic Environments With Mobile Robots

R. Biswas, B. Limketkai, S. Sanner, S. ThrunIROS, 2002.

Mining knowledge-sharing sites for viral marketing

M. Richardson, P. DomingosKnowledge Discovery and Data Mining, 2002.

Learning from Infinite Data in Finite Time

P. Domingos, G. HultenAnnual Conference on Neural Information Processing Systems, 2002.

Learning to Map between Ontologies on the Semantic Web

A.H. Doan, J. Madhavan, P. Domingos, A. HalevyInternational World Wide Web Conference, 2002.

Mining Complex Models from Arbitrarily Large Databases in Constant Time

G. Hulten, P. DomingosKnowledge Discovery and Data Mining, 2002.

Relational Markov models and their application to adaptive Web navigation

C. Anderson, P. Domingos, D. WeldKnowledge Discovery and Data Mining, 2002.

Making sensor networks practical with robots

A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. BorrielloPervasive, 2002.
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PlantCare: An investigation in practical ubiquitous systems

A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. BorrielloUbiComp, 2002.
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2001

Integrated Plan-based Control of Autonomous Service Robots in Human Environments

M. Beetz, T. Arbuckle, T. Belker, M. Bennewitz, W. Burgard, A.B. Cremers, D. Fox, H. Grosskreutz, D. Hähnel, D. SchulzIEEE Intelligent Systems 16:5, 2001.
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KLD-Sampling: Adaptive Particle Filters

D. FoxNIPSMIT Press, 2001.
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Robust Monte Carlo localization for mobile robots

S. Thrun, D. Fox, W. Burgard, F. DellaertArtificial Intelligence 128:1-2, 2001.
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Tracking Multiple Moving Objects with a Mobile Robot

D. Schulz, W. Burgard, D. FoxCVPR, 2001.
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Tracking Multiple Moving Targets with a Mobile Robot using Particle Filters and Statistical Data Association

D. Schulz, W. Burgard, D. Fox, A.  B. CremersICRA, 2001.
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A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering

P. Domingos, G. HultenInternational Conference on Machine Learning, 2001.

Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach

A.H. Doan, P. Domingos, A. HalevyACM SIGMOD International Conference on Management of Data, 2001.

Mining the network value of customers

P. Domingos, M. RichardsonKnowledge Discovery and Data Mining, 2001.

Mining Time-Changing Data Streams

G. Hulten, P. Domingos, L. SpencerKnowledge Discovery and Data Mining, 2001.

The intelligent surfer: Probabilistic combination of link and content information in PageRank

M. Richardson, P. DomingosAnnual Conference on Neural Information Processing Systems, 2001.

Distributed Transcripts for Online Learning: Design Issues

S.L. TanimotoJournal of Interactive Media in Education:3, 2001.

2000

A Probabilistic Approach to Collaborative Multi-Robot Localization

D. Fox, W. Burgard, H. Kruppa, S. ThrunAutonomous Robots 8:3, 2000.
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Coordinated Deployment of Multiple, Heterogeneous Robots

R. Simmons, D. Apfelbaum, D. Fox, R.P. Goldman, K.Z. Haigh, D.J. Musliner, M. Pelican, S. ThrunIROS, 2000.
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Efficient multi-robot localization based on Monte Carlo approximation

D. Fox, W. Burgard, H. Kruppa, S. ThrunRobotics Research: the Ninth International SymposiumSpringer-Verlag, 2000.
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Monte Carlo Localization with Mixture Proposal Distribution

S. Thrun, D. Fox, W. BurgardAAAI, 2000.
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Particle filters for mobile robot localization

D. Fox, S. Thrun, F. Dellaert, W. Burgard, 2000.
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Mining high-speed data streams

G. Hulten, P. DomingosKnowledge Discovery and Data Mining, 2000.

Collaborative Multi-Robot Exploration

W. Burgard, M. Moors, D. Fox, R. Simmons, S. ThrunICRA, 2000.
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Coordination for Multi-Robot Exploration and Mapping

R. Simmons, D. Apfelbaum, W. Burgard, D. Fox, M. Moors, S. Thrun, H. YounesAAAI, 2000.
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Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva.

S. Thrun, M. Beetz, M. Bennewitz, W. Burgard, A.  B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. SchulzInternational Journal of Robotics Research 19:11, 2000.
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Retrieval of Images Using Rich Region Descriptions

L. Cinque, L. F., S. Levialdi, S. TanimotoJ. Visual Languages and Computing 11:3, 2000.

Soccer-Robot Locatization Using Sporadic Visual Features

S. Enderle, M. Ritter, D. Fox, S. Sablatnög, G. Kraetzschmar, G. PalmIAS, 2000.
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Web Interfaces for Mobile Robots in Public Places

D. Schulz, W. Burgard, D. Fox, S. Thrun, A.  B. CremersIEEE Robotics and Automation Magazine 7:1, 2000.
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1999

Coastal navigation: Mobile robot navigation with uncertainty in dynamic environments

N. Roy, W. Burgard, D. Fox, S. ThrunICRA, 1999.

Collaborative Multi-Robot Localization

D. Fox, W. Burgard, H. Kruppa, S. ThrunKISpringer Verlag, 1999.
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Markov Localization for Reliable Robot Navigation and People Detection

D. Fox, W. Burgard, S. ThrunModelling and Planning for Sensor-Based Intelligent Robot SystemsSpringer Verlag, 1999.

Monte Carlo Localization: Efficient Position Estimation for Mobile Robots

D. Fox, W. Burgard, F. Dellaert, S. ThrunAAAI, 1999.
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Monte Carlo Localization for Mobile Robots

F. Dellaert, D. Fox, W. Burgard, S. ThrunICRA, 1999.
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Probabilistic Methods for Mobile Robot Mapping

D. Fox, W. Burgard, S. ThrunProc. of the IJCAI-99 Workshop on Adaptive Spatial Representations of Dynamic Environments, 1999.

Invited presentation

Sonar-Based Mapping of Large-Scale Mobile Robot Environments Using EM

W. Burgard, D. Fox, H. Jans, C. Matenar, S. ThrunICML, 1999.
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Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization

F. Dellaert, W. Burgard, D. Fox, S. ThrunCVPR, 1999.
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Experiences with an Interactive Museum Tour-Guide Robot

W. Burgard, A.  B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. ThrunArtificial Intelligence 114:1-2, 1999.
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Experiences with two deployed interactive tour-guide robots

S. Thrun, M. Bennewitz, W. Burgard, A.  B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, W. SteinerFSR, 1999.
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Markov Localization for Mobile Robots in Dynamic Environments

D. Fox, W. Burgard, S. ThrunJournal of Artificial Intelligence Research 11, 1999.
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MINERVA: A second generation mobile tour-guide robot

S. Thrun, M. Bennewitz, W. Burgard, A.  B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. SchulzICRA, 1999.
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1998

Active Markov Localization for Mobile Robots

D. Fox, W. Burgard, S. ThrunRobotics and Autonomous Systems 25, 1998.
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An Experimental Comparison of Localization Methods

J.S. Gutmann, W. Burgard, D. Fox, K. KonoligeIROS, 1998.
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Coastal Navigation: Robot Motion with Uncertainty

N. Roy, W. Burgard, D. Fox, S. ThrunProc. of the 1998 AAAI Fall Symposium, 1998.

Integrating Active Localization into High-level Robot Control Systems

M. Beetz, W. Burgard, D. Fox, A.  B. CremersRobotics and Autonomous Systems 23, 1998.

Integrating Topological and Metric Maps for Mobile Robot Navigation: A Statistical Approach

S. Thrun, J.S. Gutmann, D. Fox, W. Burgard, B. KuipersAAAI, 1998.
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Position Estimation for Mobile Robots in Dynamic Environments

D. Fox, W. Burgard, S. Thrun, A.  B. CremersAAAI, 1998.
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Probabilistic Mapping of an Environment by a Mobile Robot

S. Thrun, D. Fox, W. BurgardICRA, 1998.

The Interactive Museum Tour-Guide Robot

W. Burgard, A.  B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. ThrunAAAI, 1998.
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A Hybrid Collision Avoidance Method For Mobile Robots

D. Fox, W. Burgard, S. Thrun, A.  B. CremersICRA, 1998.
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A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

S. Thrun, D. Fox, W. BurgardMachine Learning 31, 1998.

Also appeared in Autonomous Robots 5:253–271, joint issue

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Real Robots for the Real World –- The RHINO Museum Tour-guide Project

W. Burgard, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, A.  B. CremersProc. of the AAAI 1998 Spring Symposium on Integrating Robotics Research: Taking the Next Leap, 1998.

The Museum Tour-Guide Robot RHINO

W. Burgard, A.  B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. ThrunProc. of Fachgespräch Autonome Mobile Systeme (AMS'98), 1998.

1997

Active Localization for Service Robot Applications

M. Beetz, W. Burgard, A.  B. Cremers, D. FoxProc. of the 5th Symposium for Intelligent Robotics Systems (SIRS'97), Stockholm, Sweden, 1997.

Active Mobile Robot Localization

W. Burgard, D. Fox, S. ThrunIJCAI, 1997.
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Active Mobile Robot Localization by Entropy Minimization

W. Burgard, D. Fox, S. ThrunProc. of the Second Euromicro Workshop on Advanced Mobile RobotsIEEE Computer Society Press, 1997.

Fast Grid-Based Position Tracking for Mobile Robots

W. Burgard, D. Fox, D. HennigKISpringer Verlag, 1997.
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Probabilistic State Estimation in Robotics

S. Thrun, D. Fox, W. BurgardProc. of the Workshop on Self-Organization of Adaptive Behavior, Ilmenau, GermanyVDI-Verlag, 1997.

The Dynamic Window Approach to Collision Avoidance

D. Fox, W. Burgard, S. ThrunIEEE Robotics & Automation Magazine 4:1, 1997.
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1996

Position Tracking with Position Probability Grids

W. Burgard, D. Fox, D. Hennig, T. SchmidtProc. of the First Euromicro Workshop on Advanced Mobile RobotsIEEE Computer Society Press, 1996.

Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids

W. Burgard, D. Fox, D. Hennig, T. SchmidtAAAI, 1996.
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Map Learning and High-Speed Navigation in RHINO

S. Thrun, A. Bücken, W. Burgard, D. Fox, T. Fröhlinghaus, D. Hennig, T. Hofmann, M. Krell, T. Schimdt, 1996.
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1995

The Mobile Robot RHINO

J. Buhmann, W. Burgard, A.  B. Cremers, D. Fox, T. Hofmann, F. Schneider, J. Strikos, S. ThrunAI Magazine 16:2, 1995.

1987

The Elements of Artificial Intelligence: An Introduction Using Lisp

S. TanimotoPrinciples of Computer ScienceComputer Science Press, 1987.