Apratim Dey

According to our database, Apratim Dey authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Optimal Vector Compressed Sensing Using James Stein Shrinkage.

Apratim Dey, David L. Donoho

CoRR, May, 2025

Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World.

Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity.

Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Universality of the π²/6 Pathway in Avoiding Model Collapse.

Apratim Dey, David L. Donoho

CoRR, 2024

DeTox: Toxic Subspace Projection for Model Editing.

Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu

CoRR, 2024

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data.

Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Henry Sleight, John Hughes, Tomasz Korbak, Rajashree Agrawal, Dhruv Pai, Andrey Gromov, Daniel A. Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo

CoRR, 2024