Papers

• Gradient descent at the Edge of Stability: free energy model and kinetic description of the two-layer network (2026)
  Antonin Chodron de Courcel
  5.44
• AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret (2026)
  Saptarishi Dhanuka (Ashoka University) et al.
  4.33
• Compress then Merge: From Multiple LoRAs into One Low-Rank Adapter (2026)
  Zhengbao He et al.
  4.33
• Online Learning with Gradient-Variation Interval Regret (2026)
  Yan-Feng Xie et al.
  4.33
• Beyond Gradient Descent: Adam for Analog Ising Machines (2026)
  Stijn Van Vooren et al.
  4.33
• Using Reward Uncertainty to Induce Diverse Behaviour in Reinforcement Learning (2026)
  Anthony GX-Chen et al.
  4.33
• Multilayer Correlation Clustering (2026)
  Atsushi Miyauchi et al.
  1.94
• Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems (2026)
  Pierre-Cyril Aubin-Frankowski et al.
  1.94
• From Score Matching to Diffusion: A Fine-Grained Error Analysis in the Gaussian Setting (2026)
  Samuel Hurault et al.
  1.94
• Quantum Doeblin Coefficients: Interpretations and Applications (2026)
  Ian George et al.
  1.94
• Robustness and Regularization in Hierarchical Re-Basin (2026)
  Benedikt Franke et al.
  1.94
• Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients (2026)
  Omar El Mansouri et al.
  1.94
• Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization (2026)
  Junyi Liao et al.
  1.94
• Wild Bootstrap Inference for Non-Negative Matrix Factorization with Random Effects (2026)
  Kenichi Satoh
  1.94
• Solving gravitational field equations by Wiener–Hopf matrix factorization and beyond (2026)
  M. Cristina Câmara et al.
  1.94
• Discrete Tilt Matching (2026)
  Yuyuan Chen et al.
  1.94
• State-Dependent Lyapunov Method for Rank-1 Matrix Factorization (2026)
  Jae-tae Moon
  1.94
• Robust portfolio optimization for recommender systems considering uncertainty of estimated statistics (2024)
  Tomoya Yanagi et al.
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