| 2025 | ICML | 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 |
| 2024 | COLT | Depth Separation in Norm-Bounded Infinite-Width Neural Networks. | Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir, Nathan Srebro |
| 2023 | ICLR | The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks. | Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry |
| 2020 | ICLR | A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case. | Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro |
| 2017 | ACSSC | Enhanced online subspace estimation via adaptive sensing. | Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano |
| 2017 | ICML | Algebraic Variety Models for High-Rank Matrix Completion. | Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano |
| 2016 | ICIP | Accelerated dynamic MRI using structured low rank matrix completion. | Arvind Balachandrasekaran, Greg Ongie, Mathews Jacob |
| 2016 | ICIP | Structured low-rank recovery of piecewise constant signals with performance guarantees. | Greg Ongie, Sampurna Biswas, Mathews Jacob |