Donoho, David L.

5 publications

ICML 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

NeurIPS 2025 Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Francesco Orabona, Sanmi Koyejo, David L. Donoho

NeurIPSW 2024 Accumulating Data Avoids Model Collapse Joshua Kazdan, Apratim Dey, Rylan Schaeffer, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo

ICMLW 2024 Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Tomasz Korbak, Henry Sleight, Rajashree Agrawal, John Hughes, Dhruv Bhandarkar Pai, Andrey Gromov, Dan Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo

ICLR 2022 Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path X.Y. Han, Vardan Papyan, David L. Donoho