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Workshop
Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction
Nitzan Avidan · Moti Freiman
Affinity Workshop
Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations
Charupriya Sharma
Poster
Thu 9:00 Exact Solutions of a Deep Linear Network
Liu Ziyin · Botao Li · Xiangming Meng
Poster
Wed 9:00 Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
Rongzhe Wei · Haoteng YIN · Junteng Jia · Austin Benson · Pan Li
Poster
Tue 14:00 Non-deep Networks
Ankit Goyal · Alexey Bochkovskiy · Jia Deng · Vladlen Koltun
Poster
Tue 9:00 Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Yuandong Tian
Poster
Tue 14:00 On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran · Gal Vardi · Jason Lee
Poster
Thu 9:00 On global convergence of ResNets: From finite to infinite width using linear parameterization
Raphaël Barboni · Gabriel Peyré · Francois-Xavier Vialard
Affinity Workshop
MKA-Net: Multi-Kernel Attention Conv-Network
Abenezer G Girma · Nana Kankam Gyimah
Poster
Tue 9:00 Exact learning dynamics of deep linear networks with prior knowledge
Lukas Braun · Clémentine Dominé · James Fitzgerald · Andrew Saxe
Poster
Thu 9:00 Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen · Harinath Garudadri · Bhaskar D Rao
Workshop
Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems
Shuheng Liu · Xiyue Huang · Pavlos Protopapas