12 Results

Poster
Tue 7:00 Explaining Groups of Points in Low-Dimensional Representations
Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar
Poster
Wed 5:00 Population-Based Black-Box Optimization for Biological Sequence Design
Christof Angermueller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy Colwell, D. Sculley
Poster
Wed 5:00 TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy
Poster
Wed 9:00 Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
Poster
Wed 11:00 Feature Selection using Stochastic Gates
Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger
Poster
Wed 14:00 DeepCoDA: personalized interpretability for compositional health data
Thomas Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh
Poster
Thu 7:00 Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Marko Vasic, Cameron Chalk, Sarfraz Khurshid, David Soloveichik
Poster
Thu 12:00 Aggregation of Multiple Knockoffs
Tuan-Binh Nguyen, Jerome-Alexis Chevalier, Thirion Bertrand, Sylvain Arlot
Poster
Thu 12:00 Supervised Quantile Normalization for Low Rank Matrix Factorization
Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, JP Vert
Poster
Thu 13:00 A Generative Model for Molecular Distance Geometry
Gregor Simm, Jose Miguel Hernandez-Lobato
Poster
Thu 13:00 Influenza Forecasting Framework based on Gaussian Processes
Christoph Zimmer, Reza Yaesoubi
Poster
Thu 17:00 A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang