Results

Oral Session	Tue 0:00	Oral Session 1: Generative Modeling
Oral Session	Fri 16:00	Oral Session 5: Generative Modeling
Workshop	Tue 14:11	Open-Sourcing Generative Models for Data-driven Robot Simulations
Poster	Wed 0:30	Variational Bayesian Reinforcement Learning with Regret Bounds Brendan O'Donoghue
Poster	Wed 16:30	Pseudo-Spherical Contrastive Divergence Lantao Yu · Jiaming Song · Yang Song · Stefano Ermon
Oral	Tue 1:20	Differentiable Quality Diversity Matthew Fontaine · Stefanos Nikolaidis
Poster	Thu 16:30	Probabilistic Transformer For Time Series Analysis Binh Tang · David S Matteson
Workshop		Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models Daniel Bogdoll · Marius Zöllner
Workshop	Mon 12:00	Deep generative models create new and diverse protein structures Zeming Lin · Tom Sercu · yann lecun · Alex Rives
Workshop		MOLUCINATE: A Generative Model for Molecules in 3D Space Michael Brocidiacono · David Koes
Workshop		Deep generative models create new and diverse protein structures Zeming Lin · Tom Sercu · yann lecun · Alex Rives
Poster	Wed 16:30	Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data Amirreza Farnoosh · Sarah Ostadabbas