2 papers
cs.LG2026
SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples
Haoye Lu, Darren Lo, Yaoliang Yu
Diffusion models achieve strong generative performance but often rely on large datasets that may include sensitive content. This challenge is compounded by the models' tendency to…
cs.LG2025
Composite Classifier-Free Guidance for Multi-Modal Conditioning in Wind Dynamics Super-Resolution
Jacob Schnell, Aditya Makkar, Gunadi Gani +5
Various weather modelling problems (e.g., weather forecasting, optimizing turbine placements, etc.) require ample access to high-resolution, highly accurate wind data. Acquiring su…