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Poster
Thu 10:30 TPU-GAN: Learning temporal coherence from dynamic point cloud sequences
Zijie Li · Tianqin Li · Amir Barati Farimani
Poster
Mon 18:30 Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
Tolga Ergen · Arda Sahiner · Batu Ozturkler · John M Pauly · Morteza Mardani · Mert Pilanci
Poster
Thu 18:30 Reverse Engineering of Imperceptible Adversarial Image Perturbations
Yifan Gong · Yuguang Yao · Yize Li · Yimeng Zhang · Xiaoming Liu · Xue Lin · Sijia Liu
Poster
Tue 10:30 Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions
Moise Blanchard · Mohammed Amine Bennouna
Poster
Wed 10:30 Phenomenology of Double Descent in Finite-Width Neural Networks
Sidak Pal Singh · Aurelien Lucchi · Thomas Hofmann · Bernhard Schoelkopf
Poster
Thu 18:30 InfinityGAN: Towards Infinite-Pixel Image Synthesis
Chieh Hubert Lin · Hsin-Ying Lee · Yen-Chi Cheng · Sergey Tulyakov · Ming-Hsuan Yang
Oral
Tue 1:00 Understanding over-squashing and bottlenecks on graphs via curvature
Jake Topping · Francesco Di Giovanni · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein
Poster
Thu 10:30 Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
Stephan Lorenzen · Christian Igel · Mads Nielsen
Poster
Wed 2:30 Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness
Sho Okumoto · Taiji Suzuki
Oral
Tue 1:00 Expressiveness and Approximation Properties of Graph Neural Networks
Floris Geerts · Juan L. Reutter
Poster
Tue 10:30 Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Anuroop Sriram · Abhishek Das · Brandon Wood · Siddharth Goyal · Larry Zitnick
Spotlight
Tue 2:30 Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen · Stephan Günnemann