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187 Results
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Poster
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Mon 7:30 |
Memorization Capacity of Neural Networks with Conditional Computation Erdem Koyuncu |
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Oral
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Mon 6:10 |
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions Arthur Jacot |
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Oral Session
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Mon 6:00 |
Oral 2 Track 5: Generative models & Theory |
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Workshop
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Thu 6:40 |
Machine learning approaches to improve the exchange and correlation functional in Density functional Theory Marivi Fernandez-Serra |
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Poster
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Generalization and Estimation Error Bounds for Model-based Neural Networks Avner Shultzman · Eyar Azar · Miguel Rodrigues · Yonina Eldar |
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Workshop
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Thu 5:30 |
Neural Networks Learn Representation Theory: Reverse Engineering how Networks Perform Group Operations Bilal Chughtai |
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Workshop
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Thu 8:00 |
Scaling laws for deep neural networks: driving theory and understanding through experimental insights Yasaman Bahri |