69 citations · 85 across the 4 of their papers we have counts for
4 papers
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…
How do Minimum-Norm Shallow Denoisers Look in Function Space?
Chen Zeno, Greg Ongie, Yaniv Blumenfeld +2
Neural network (NN) denoisers are an essential building block in many common tasks, ranging from image reconstruction to image generation. However, the success of these models is n…
Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates
Chen Zeno, Itay Golan, Elad Hoffer +1
Background: Catastrophic forgetting is the notorious vulnerability of neural networks to the changes in the data distribution during learning. This phenomenon has long been conside…
Task Agnostic Continual Learning Using Online Variational Bayes
Chen Zeno, Itay Golan, Elad Hoffer +1
Catastrophic forgetting is the notorious vulnerability of neural networks to the change of the data distribution while learning. This phenomenon has long been considered a major ob…