cond-mat.dis-nn

Papers

• An exact algorithm exhibiting RS-RSB/easy-hard correspondence for the maximum independent set problem (2017)
  Jun Takahashi and Satoshi Takabe and Koji Hukushima
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• Rare Event Analysis of Large Language Models (2026)
  Jake McAllister Dorman et al.
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• Non-normal spectral signatures of instability in neural network training dynamics (2026)
  Souvik Ghosh
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• Asymmetric Scaling Laws from Sparse Features (2026)
  John Sous et al.
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• Preisach Attention: A Hysteretic Model of Sequential Memory (2026)
  Piotr Frydrych
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• Signal-to-Noise Ratio and Sample Size Govern Representational Alignment in Neural Networks (2026)
  Ali Hussaini Umar et al.
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• Sampling Data with Chains of Forward-Backward Diffusion Steps (2026)
  Hyunmo Kang et al.
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• Comment on "Spin-1/2 Kagome Heisenberg Antiferromagnet: Machine Learning Discovery of the Spinon Pair-Density-Wave Ground State" (2026)
  Helia Kamal et al.
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• Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime (2026)
  Paolo Baglioni et al.
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• Open Problem: Separating Geometric and Algorithmic Compression via Cayley-Table Completion (2026)
  Dongsung Huh
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