Co-occurring keywords · papers mentioning both
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
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
ICLR 2025
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
ICLR 2025
Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
ICLR 2025
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models
NAACL 2025
Batched Energy-Entropy acquisition for Bayesian Optimization
NeurIPS 2024
Deep Neural Networks via Complex Network Theory: A Perspective
IJCAI 2024
What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
ICML 2024
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
JMLR 2023
Learning Curves for Deep Structured Gaussian Feature Models
NeurIPS 2023
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
NeurIPS 2022
Mappings for Marginal Probabilities with Applications to Models in Statistical Physics
JMLR 2022
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
NeurIPS 2022
Self-Consistency of the Fokker Planck Equation
COLT 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
NeurIPS 2021
On the mapping between Hopfield networks and Restricted Boltzmann Machines
ICLR 2021
Generalization in multitask deep neural classifiers: a statistical physics approach
NeurIPS 2019
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
ICML 2018
Structure Learning of ${H}$-colorings
ALT 2018
Learning Planar Ising Models
JMLR 2016
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy
NeurIPS 2015
Dense Message Passing for Sparse Principal Component Analysis
AISTATS 2010
Short-term memory in neuronal networks through dynamical compressed sensing
NeurIPS 2010