Oct 2025

• Dynamical mean field approach to associative memory model with non-monotonic transfer functions
  Yoshiyuki Kabashima, Kazushi Mimura, arXiv:2510.19146

• On the relationship between equilibria and dynamics in large, random neuronal networks
  Xiaoyu Yang, Giancarlo La Camera, Gianluigi Mongillo, arXiv:2510.19091

• A unified framework for divergences, free energies, and Fokker-Planck equations
  Anna L. F. Lucchi, Jean H. Y. Passos, et al., arXiv:2510.16690

• Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
  Cassidy Ashworth, Pietro Liò, Francesco Caso, arXiv:2510.16591

• Entropy production and irreversibility in the linearized stochastic Amari neural model
  Dario Lucente, Giacomo Gradenigo, Luca Salasnich, arXiv:2510.16422

• Entanglement Entropy from Correlation Functions of Scalar Fields in and out of Equilibrium
  Mrinal Kanti Sarkar, Saranyo Moitra, Rajdeep Sensarma, arXiv:2510.15035

• Nonequilibrium steady states in bead-spring models: Entropy production and probability distributions
  Jetin E Thomas, Ramandeep S. Johal, arXiv:2510.13453

• A nonequilibrium distribution for stochastic thermodynamics
  Jean-Luc Garden, arXiv:2510.08315

• Ergodicity Breaking and High-Dimensional Chaos in Random Recurrent Networks
  Carles Martorell, Rubén Calvo, et al., arXiv:2510.07932

• What is the most optimal diffusion?
  Vasili Baranau, arXiv:2510.07571

• Attention to Order: Transformers Discover Phase Transitions via Learnability
  Şener Özönder, arXiv:2510.07401

• Thermodynamics of data
  Borko Stosic, arXiv:2510.06818

• The Physics of Data and Tasks: Theories of Locality and Compositionality in Deep Learning
  Alessandro Favero, arXiv:2510.06106

• Computing frustration and near-monotonicity in deep neural networks
  Joel Wendin, Erik G. Larsson, Claudio Altafini, arXiv:2510.05286

• Learning Linear Regression with Low-Rank Tasks in-Context
  Kaito Takanami, Takashi Takahashi, Yoshiyuki Kabashima, arXiv:2510.04548

• Minimal-Dissipation Learning for Energy-Based Models
  Jeff Hnybida, Simon Verret, arXiv:2510.03137

• Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
  Runqian Wang, Yilun Du, arXiv:2510.02300

• Precise Dynamics of Diagonal Linear Networks: A Unifying Analysis by Dynamical Mean-Field Theory
  Sota Nishiyama, Masaaki Imaizumi, arXiv:2510.01930

• Combining complex Langevin dynamics with score-based and energy-based diffusion models
  Gert Aarts, Diaa E. Habibi, et al., arXiv:2510.01328

• Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time
  Blake Bordelon, Mary I. Letey, Cengiz Pehlevan, arXiv:2510.01098

• Spin glasses and the Parisi formula
  Jean-Christophe Mourrat, arXiv:2510.01054