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Workshop
Fri 11:35 Spotlight 7: Emilien Dupont, COIN: COmpression with Implicit Neural representations
Poster
Tue 9:00 Learning Neural Event Functions for Ordinary Differential Equations
Tian Qi Chen · Brandon Amos · Maximilian Nickel
Poster
Mon 1:00 SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon · Yaron Lipman
Poster
Tue 17:00 A unifying view on implicit bias in training linear neural networks
Chulhee Yun · Shankar Krishnan · Hossein Mobahi
Poster
Wed 9:00 Multiplicative Filter Networks
Rizal Fathony · Anit Kumar Sahu · Devin Willmott · Zico Kolter
Poster
Tue 17:00 Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Jeremy Cohen · Simran Kaur · Yuanzhi Li · Zico Kolter · Ameet Talwalkar
Poster
Wed 9:00 Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
Ben Adlam · Jaehoon Lee · Lechao Xiao · Jeffrey Pennington · Jasper Snoek
Poster
Mon 1:00 Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu
Spotlight
Wed 5:35 Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu