Thursday, March 7, 2024
8:00AM - 8:36AM
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S28.00001: Grokking and emergent capabilities in deep learning
Invited Speaker:
Andrey Gromov
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Thursday, March 7, 2024
8:36AM - 8:48AM
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S28.00002: Average-Reward Reinforcement Learning Using Insights from Non-Equilibrium Statistical Mechanics
Jacob Adamczyk, Argenis Arriojas Maldonado, Stas Tiomkin, Rahul V Kulkarni
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Thursday, March 7, 2024
8:48AM - 9:00AM
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S28.00003: To grok or not to grok: Disentangling generalization and memorization on corrupted algorithmic datasets
Darshil H Doshi, Aritra Das, Tianyu He, Andrey Gromov
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Thursday, March 7, 2024
9:00AM - 9:12AM
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S28.00004: Generalization error in the spherical perceptron
Gilhan Kim, Yongjoo Baek, Hyungjoon Soh
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Thursday, March 7, 2024
9:12AM - 9:24AM
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S28.00005: Criticality from the functional development of a learning machine
Ting-Kuo Lee
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Thursday, March 7, 2024
9:24AM - 10:00AM
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S28.00006: Training Machine Learning Emulators to Preserve Invariant Measures of Chaotic Attractors
Invited Speaker:
Peter Y Lu
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Thursday, March 7, 2024
10:00AM - 10:12AM
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S28.00007: Statistical mechanics of dynamical system identification
Andrei A Klishin, Joseph Bakarji, J. Nathan Kutz, Krithika Manohar
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Thursday, March 7, 2024
10:12AM - 10:24AM
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S28.00008: Effective Dynamics of Generative Adversarial Networks
Shenshen Wang, Steven Durr, Youssef Mroueh, Yuhai Tu
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Thursday, March 7, 2024
10:24AM - 10:36AM
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S28.00009: Machine Learning that predicts well may not learn the correct physical descriptions of glassy systems.
Arabind Swain, Sean A Ridout, Ilya M Nemenman
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Thursday, March 7, 2024
10:36AM - 10:48AM
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S28.00010: Tracking parameter variations in nonlinear dynamical systems using machine learning
Zheng-Meng Zhai, Mohammadamin Moradi, Ying-Cheng Lai
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Thursday, March 7, 2024
10:48AM - 11:00AM
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S28.00011: Sparse spectra in learned representations of symmetries
Michael C Abbott, Benjamin B Machta
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