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