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Neta Shaul

@shaulneta

PhD Student at @WeizmannScience
neta93.github.io Joined June 2023
71 Following 478 Followers 56 Posts

Latest posts 5

Neta Shaul @shaulneta
Flow Matching obtains its training supervising velocity by conditioning on data samples. But what if you don’t have a dataset, only an unnormalized density? Flow Sampling gets the supervising drift by conditioning on the source instead of the target.

Catch @aaronjhavens at #ICML
Aaron Havens @aaronjhavens Jul 7
Excited to be at ICML to present our Spotlight paper: Flow Sampling!

We propose a simple fixed-point objective for learning diffusion samplers, built on the flow matching marginal construction. More details to come soon!

Paper: arxiv.org/abs/2605.03984
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Neta Shaul @shaulneta
Congrats @YarivLior! Very interesting direction for accelerating flow/diffusion models🚀
Lior Yariv Verified account @YarivLior Mar 25
Why pay full compute for pixels you're not even looking at?
In our new work, Foveated Diffusion, we introduce a new concept for efficient image and video generation, motivated by how the human visual system works.
(See full thread below)
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Neta Shaul @shaulneta
After multiple requests for the code of the visuals from my talk about Transition Matching, I made a notebook that reproduces the DTM vs. FM GIF!

This demo is a good way to build intuition on how TM and FM differ.

github.com/neta93/visual-…

@urielsinger
github.com GitHub - neta93/visual-illustrations: Python code for creating visual illustrations that explain my... Python code for creating visual illustrations that explain my research papers. - neta93/visual-illustrations