Yuchen Zhang

PhD student at UTSW

[Yuchen Zhang @Yuchen8314]

We hope this framework sparks new ideas for noisy-data scenarios in science and beyond. Check out our paper for technical details, proofs, and full experiments! Thanks for reading—let us know what you think.

(9/9)

[Yuchen Zhang @Yuchen8314]

Excited to share our new work, “Inverse Flow and Consistency Models”! We tackle inverse generation problems—like denoising in scenarios where you only have noisy measurements and no access to clean data, which is often the case in biological data and beyond.

https://t.co/YCJFQAuj7J

(1/9)

[Yuchen Zhang @Yuchen8314]

Results show that Inverse Flow can often match or outperform even supervised baselines that have access to the ground truth —and it excels on data when standard assumptions (like independent or Gaussian noise) are violated.

(8/9)