Tuesday, March 15, 2022
8:00AM - 8:36AM
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F03.00001: Memorizing without overfitting: Over-parameterization in machine learning, physics and biology
Invited Speaker:
Jason W Rocks
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Tuesday, March 15, 2022
8:36AM - 8:48AM
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F03.00002: When are Neural Networks Kernel Learners?
Alexander B Atanasov, Blake Bordelon, Cengiz Pehlevan
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Tuesday, March 15, 2022
8:48AM - 9:00AM
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F03.00003: Teaching a material to be adaptive
Martin J Falk, Jiayi Wu, Vedant Sachdeva, Sidney R Nagel, Arvind Murugan
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Tuesday, March 15, 2022
9:00AM - 9:12AM
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F03.00004: Information theory of high dimensional linear regression
Vudtiwat Ngampruetikorn, David J Schwab
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Tuesday, March 15, 2022
9:12AM - 9:24AM
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F03.00005: Learning out of equilibrium in physical systems
Menachem Stern, Sam J Dillavou, Marc Z Miskin, Douglas J Durian, Andrea J Liu
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Tuesday, March 15, 2022
9:24AM - 9:36AM
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F03.00006: Learning Continuous Chaotic Attractors with a Reservoir Computer
Lindsay M Smith, Jason Z Kim, Zhixin Lu, Danielle S Bassett
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Tuesday, March 15, 2022
9:36AM - 9:48AM
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F03.00007: Learning Nonequilibrium Control Forces to Characterize Dynamical Phase Transitions
Jiawei Yan, Hugo Touchette, Grant M Rotskoff
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Tuesday, March 15, 2022
9:48AM - 10:00AM
Withdrawn
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F03.00008: A Bayesian Approach to Hyperbolic Embeddings
Anoop Praturu, Tatyana O Sharpee
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Tuesday, March 15, 2022
10:00AM - 10:12AM
Withdrawn
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F03.00009: A symbolic systen that synthesises an internal model of an algebraic theory of the data and prior knowlwedge
Gonzalo de Polavieja
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Tuesday, March 15, 2022
10:12AM - 10:24AM
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F03.00010: Optimal learning despite a hundred distracting directions
Michael C Abbott, Benjamin B Machta
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Tuesday, March 15, 2022
10:24AM - 10:36AM
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F03.00011: Memory, Prediction and Computation in the Kuramoto model
Chanin Kumpeerakij, David J Schwab, Thiparat Chotibut, Vudtiwat Ngampruetikorn
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