#Generative modeling

Articles (3)

• 🇺🇸 Fast and Scalable Analytical Diffusion — 19/02/2026 [USA]

  arXiv:2602.16498v1 Announce Type: cross Abstract: Analytical diffusion models offer a mathematically transparent path to generative modeling by formulating the denoising score as an empirical-Bayes p...

  Related: #Diffusion models, #Scalability challenges, #Empirical Bayes methods, #Machine learning research
• 🇺🇸 B-DENSE: Branching For Dense Ensemble Network Learning — 19/02/2026 [USA]

  arXiv:2602.15971v1 Announce Type: cross Abstract: Inspired by non-equilibrium thermodynamics, diffusion models have achieved state-of-the-art performance in generative modeling. However, their iterat...

  Related: #Diffusion models, #Inference acceleration, #Model distillation, #Dense ensemble learning
• 🇺🇸 Learnable Chernoff Baselines for Inference-Time Alignment — 16/02/2026 [USA]

  arXiv:2602.07738v2 Announce Type: replace-cross Abstract: We study inference-time reward-guided alignment for generative models. Existing methods often rely on either architecture-specific adaptation...

  Related: #Inference‑time alignment, #Reward‑guided training, #KL regularization, #Sampling efficiency