2 papers
stat.ML2026
Adaptive Diffusion Guidance via Stochastic Optimal Control
Iskander Azangulov, Peter Potaptchik, Qinyu Li +3
Guidance is a cornerstone of modern diffusion models, playing a pivotal role in conditional generation and enhancing the quality of unconditional samples. However, current approach…
cs.LG2025
NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation
Qinyu Li, Yee Whye Teh, Razvan Pascanu
The canonical deep learning approach for learning requires computing a gradient term at each block by back-propagating the error signal from the output towards each learnable param…