Machine learning, speech/language/bioinformatics/music, submodularity & discrete optimization
Nikolaos Pappas works with professor Noah Smith in the Natural Language Processing group. Pappas is interested in creating unified, structure-aware, and sample efficient models of natural language. Previously, he did a postdoc working with James Henderson at the Idiap Research Institute's natural language understanding group and earned his doctoral degree in Electrical Engineering at EPFL.
Sean Welleck is a Postdoctoral Scholar at UW, working with Yejin Choi. His research interests include deep learning and structured prediction, with applications in natural language processing. He completed his PhD at New York University, advised by Kyunghyun Cho and Zheng Zhang, and obtained B.S.E. and M.S.E. degrees from the University of Pennsylvania. His research has been published at ICML, NeurIPS, ICLR, and ACL, including two Nvidia AI Labs Pioneering Research Awards.