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Thu 8:00 Visual Grounding of Learned Physical Models
Yunzhu Li · Toru Lin · Kexin Yi · Daniel Bear · Daniel Yamins · Jiajun Wu · Josh Tenenbaum · Antonio Torralba
Tue 14:00 Continuously Indexed Domain Adaptation
Hao Wang · Hao He · Dina Katabi
Wed 5:00 Abstraction Mechanisms Predict Generalization in Deep Neural Networks
Alex Gain · Hava Siegelmann
Wed 15:00 Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
Ioana Bica · Ahmed Alaa · Mihaela van der Schaar
Wed 5:00 TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Alexander Tong · Jessie Huang · Guy Wolf · David van Dijk · Smita Krishnaswamy
Wed 14:00 DeepCoDA: personalized interpretability for compositional health data
Thomas Quinn · Dang Nguyen · Santu Rana · Sunil Gupta · Svetha Venkatesh
Tue 12:00 SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Tomer Golany · Kira Radinsky · Daniel Freedman
Wed 10:00 Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
Changhee Lee · Mihaela van der Schaar
Thu 9:00 Active World Model Learning in Agent-rich Environments with Progress Curiosity
Kuno Kim · Megumi Sano · Julian De Freitas · Nick Haber · Daniel Yamins
Wed 8:00 A general recurrent state space framework for modeling neural dynamics during decision-making
David Zoltowski · Jonathan Pillow · Scott Linderman
Thu 13:00 A Generative Model for Molecular Distance Geometry
Gregor Simm · Jose Miguel Hernandez-Lobato
Thu 8:00 Emergence of Separable Manifolds in Deep Language Representations
Jonathan Mamou · Hang Le · Miguel A del Rio Fernandez · Cory Stephenson · Hanlin Tang · Yoon Kim · SueYeon Chung