conftrace_

statistical physics

19 papers

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Co-occurring keywords

neural network (6616) deep neural network (1803) phase transition (92) graphical model (864) markov random field (303) ising model (85) graph theory (249) bayesian pca (3) pairwise correlation (3) network topology (51)

Papers

Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games AAAI 2026
Investment-Driven Social Influence: A Statistical Physics Approach to Advertising Response ACL 2025
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models NAACL 2025
Deep Neural Networks via Complex Network Theory: A Perspective IJCAI 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Learning Curves for Deep Structured Gaussian Feature Models NIPS 2023
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity JMLR 2023
Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022
Self-Consistency of the Fokker Planck Equation COLT 2022
An Analytical Theory of Curriculum Learning in Teacher-Student Networks NIPS 2022
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks NIPS 2022
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation ICML 2022
On the interplay between data structure and loss function in classification problems NIPS 2021
Generalization in multitask deep neural classifiers: a statistical physics approach NIPS 2019
Structure Learning of ${H}$-colorings ALT 2018
Comparing Dynamics: Deep Neural Networks versus Glassy Systems ICML 2018
Learning Planar Ising Models JMLR 2016
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NIPS 2015
Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010