Papers

• Discrete Diffusion Models: A Unified Framework from Tokenization to Generation (2026)
  Ye Yuan et al.
  10.48
• Group Entropy-Controlled Policy Optimization (2026)
  Guangran Cheng et al.
  10.42
• Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation (2026)
  Martin Andrews
  5.01
• ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling (2026)
  Chirag Vashist et al.
  4.39
• From Data To Rewards: A Bilevel Optimization Perspective On Maximum Likelihood Estimation (2025)
  Abdelhakim Benechehab, Gabriel Singer, Corentin Léger, et al.
  1.95
• Generative Control As Optimization: Time Unconditional Flow Matching For Adaptive And Robust Robotic Control (2026)
  Zunzhe Zhang, Runhan Huang, Yicheng Liu, et al.
  1.94
• Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning (2025)
  Wu Fei et al.
  1.33
• Adaptive Diffusion Policy Optimization For Robotic Manipulation (2025)
  Huiyun Jiang, Zhuang Yang
  1.28
• Streaming Flow Policy: Simplifying Diffusion/flow-matching Policies By Treating Action Trajectories As Flow Trajectories (2025)
  Sunshine Jiang, Xiaolin Fang, Nicholas Roy, et al.
  1.28
• Stage-wise Dynamics Of Classifier-free Guidance In Diffusion Models (2025)
  Cheng Jin, Qitan Shi, Yuantao Gu
  1.28