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A Free-Energy Principle for Representation Learning

A Free-Energy Principle for Representation Learning

International Conference on Machine Learning (ICML), 2020
27 February 2020
Yansong Gao
Pratik Chaudhari
    DRL
ArXiv (abs)PDFHTML

Papers citing "A Free-Energy Principle for Representation Learning"

10 / 10 papers shown
Can Training Dynamics of Scale-Invariant Neural Networks Be Explained by the Thermodynamics of an Ideal Gas?
Can Training Dynamics of Scale-Invariant Neural Networks Be Explained by the Thermodynamics of an Ideal Gas?
Ildus Sadrtdinov
E. Lobacheva
Ivan Klimov
Mikhail I. Katsnelson
Dmitry Vetrov
AI4CE
245
0
0
10 Nov 2025
SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training
SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training
Ildus Sadrtdinov
Ivan Klimov
E. Lobacheva
Dmitry Vetrov
289
3
0
29 May 2025
GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory
GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory
David D. Baek
Ziming Liu
Max Tegmark
AI4CE
308
3
0
08 Feb 2024
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasksInternational Conference on Machine Learning (ICML), 2022
Rahul Ramesh
Jialin Mao
Itay Griniasty
Rubing Yang
H. Teoh
Mark K. Transtrum
James P. Sethna
Pratik Chaudhari
SSLDRL
487
7
0
31 Oct 2022
Towards Understanding Grokking: An Effective Theory of Representation
  Learning
Towards Understanding Grokking: An Effective Theory of Representation LearningNeural Information Processing Systems (NeurIPS), 2022
Ziming Liu
O. Kitouni
Niklas Nolte
Eric J. Michaud
Max Tegmark
Mike Williams
AI4CE
410
236
0
20 May 2022
Deep Reference Priors: What is the best way to pretrain a model?
Deep Reference Priors: What is the best way to pretrain a model?International Conference on Machine Learning (ICML), 2022
Yansong Gao
Rahul Ramesh
Pratik Chaudhari
BDL
339
6
0
01 Feb 2022
Rethinking Neural Networks With Benford's Law
Rethinking Neural Networks With Benford's Law
Surya Kant Sahu
Abhinav Java
Arshad Shaikh
Yannic Kilcher
250
4
0
05 Feb 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information
  Estimation
Controllable Guarantees for Fair Outcomes via Contrastive Information EstimationAAAI Conference on Artificial Intelligence (AAAI), 2021
Umang Gupta
Aaron Ferber
B. Dilkina
Greg Ver Steeg
315
77
0
11 Jan 2021
Likelihood Ratio Exponential Families
Likelihood Ratio Exponential Families
Rob Brekelmans
Frank Nielsen
Alireza Makhzani
Aram Galstyan
Greg Ver Steeg
535
6
0
31 Dec 2020
An Information-Geometric Distance on the Space of Tasks
An Information-Geometric Distance on the Space of TasksInternational Conference on Machine Learning (ICML), 2020
Yansong Gao
Pratik Chaudhari
262
22
0
01 Nov 2020
1
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