997 citations · 2.4k across the 65 of their papers we have counts for
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When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
Chen Zeno, Hila Manor, Greg Ongie +3
While diffusion models generate high-quality images via probability flow, the theoretical understanding of this process remains incomplete. A key question is when probability flow…
Joint auto-encoders: a flexible multi-task learning framework
Baruch Epstein, Ron Meir, Tomer Michaeli
The incorporation of prior knowledge into learning is essential in achieving good performance based on small noisy samples. Such knowledge is often incorporated through the availab…
Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training
Tomer Michaeli, Yonina C. Eldar, Guillermo Sapiro
We address the problems of multi-domain and single-domain regression based on distinct and unpaired labeled training sets for each of the domains and a large unlabeled training set…