Entropy, concentration, and learning: a statistical mechanics primer

Entropy, concentration, and learning: a statistical mechanics primer

27 September 2024

Akshay Balsubramani

Papers citing "Entropy, concentration, and learning: a statistical mechanics primer"

9 / 9 papers shown

Title
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 98 85 0 29 Mar 2023
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 102 1,243 0 20 Nov 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 186 2,229 0 05 Jul 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 80 2,354 0 06 Jun 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 129 935 0 01 Feb 2019
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 307 12,069 0 19 Jun 2017
On the correspondence between thermodynamics and inference Colin H. LaMont Paul A. Wiggins 43 26 0 05 Jun 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 282 4,793 0 04 Jan 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014