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Poster
Wed 15:30 Variational Sparse Coding with Learned Thresholding
Kion Fallah · Christopher Rozell
Spotlight
Tue 13:30 Uncertainty Modeling in Generative Compressed Sensing
Yilang Zhang · Mengchu Xu · Xiaojun Mao · Jian Wang
Oral
Tue 13:45 Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim
Spotlight
Wed 11:30 Fast Lossless Neural Compression with Integer-Only Discrete Flows
Siyu Wang · Jianfei Chen · Chongxuan Li · Jun Zhu · Bo Zhang
Spotlight
Wed 10:55 Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Tom Blau · Edwin V Bonilla · Iadine Chades · Amir Dezfouli
Poster
Tue 15:30 On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels · Mattia Segù · Tao Sun · Luca Daniel Sieber · Luc Van Gool · Fisher Yu · Federico Tombari
Oral
Tue 11:15 Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
Heejong Bong · Alessandro Rinaldo
Poster
Wed 15:30 Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Tom Blau · Edwin V Bonilla · Iadine Chades · Amir Dezfouli
Spotlight
Thu 13:45 Discrete Tree Flows via Tree-Structured Permutations
Mai Elkady · Jim Lim · David I. Inouye
Poster
Wed 15:30 Fast Lossless Neural Compression with Integer-Only Discrete Flows
Siyu Wang · Jianfei Chen · Chongxuan Li · Jun Zhu · Bo Zhang
Spotlight
Tue 14:35 On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels · Mattia Segù · Tao Sun · Luca Daniel Sieber · Luc Van Gool · Fisher Yu · Federico Tombari
Poster
Tue 15:30 Uncertainty Modeling in Generative Compressed Sensing
Yilang Zhang · Mengchu Xu · Xiaojun Mao · Jian Wang