Papers

• One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective (2026)
  Juan Agust\'in Duque et al.
  4.39
• Multiplicity of Stable Attractors in Disordered Neural Models (2026)
  Raffaele Marino et al.
  3.51
• Stochastic Resetting Accelerates Policy Convergence in Reinforcement Learning (2026)
  Jello Zhou et al.
  1.78
• Physical Reinforcement Learning (2025)
  Sam Dillavou and Shruti Mishra
  1.56
• Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation (2025)
  Jean Barbier et al.
  1.50
• Statistical mechanics of extensive-width Bayesian neural networks near interpolation (2025)
  Jean Barbier et al.
  1.22
• Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation (2025)
  Jean Barbier et al.
  1.00
• Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks (2016)
  Tim Salimans and Diederik P. Kingma
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