Papers

• Online Locality Meets Distributed Quantum Computing (2024)
  Amirreza Akbari et al.
  9.32
• Mean Field Reinforcement Learning (2026)
  Ren\'e Carmona et al.
  5.44
• Harvesting Reshapes Dynamical Populations (2026)
  R. K. Singh et al.
  4.95
• An Hybrid Quantum-Classical Diffusion Model for Image Generation (2026)
  Qipeng Qian et al.
  4.33
• Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance (2026)
  Zixuan Shen (Central South University) et al.
  4.33
• The Seriality Gap in Video Diffusion Models (2026)
  Jorge Diaz Chao et al.
  4.33
• Signed Rectified Flow: Negativity-Controlled Generation (2026)
  Runlong Liao et al.
  4.33
• Decafs: Disentangled Conditional adversarial Flows (2026)
  Anirudh jain et al.
  4.33
• Neural Kolmogorov Equations: Parallelizable Learning of Stochastic Dynamics under General Noise (2026)
  Arthur Bizzi et al.
  4.33
• Provable diffusion-based posterior sampling for linear inverse problems via DDIM (2026)
  Yuchen Jiao et al.
  4.33
• Normalizing Flows to Reconstruct Pseudo-PDFs (2026)
  Yamil Cahuana Medrano et al.
  4.33
• Logarithmic Aging Diffusion from a Multiplicative Event Clock: Rare Event Statistics, Ultraslow Transport, and Ensemble-Time Inequivalence (2026)
  Chunyan Li et al.
  4.33
• Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy (2026)
  Nikita P. Kalinin et al.
  3.45
• LatentFlow: A General Framework for Conditioning Stochastic Processes (2026)
  Louis Sharrock et al.
  3.45
• End-to-end Conditional Diffusion for Realistic and Controllable Visual Traffic Scenario Generation (2026)
  Jingzheng Li et al.
  3.45
• Efficient Unitary T-designs from Random Sums (2024)
  Chi-Fang Chen et al.
  —