Ongie, Greg

7 publications

ICML 2025 When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry

COLT 2024 Depth Separation in Norm-Bounded Infinite-Width Neural Networks Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir, Nathan Srebro

NeurIPS 2023 How Do Minimum-Norm Shallow Denoisers Look in Function Space? Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry

ICLR 2023 The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry

ICLR 2020 A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro

NeurIPSW 2019 Learning to Solve Linear Inverse Problems in Imaging with Neumann Networks Greg Ongie, Davis Gilton, Rebecca Willett

ICML 2017 Algebraic Variety Models for High-Rank Matrix Completion Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano