| Pulse: Self-supervised photo upsampling via latent space exploration of generative models S Menon, A Damian, S Hu, N Ravi, C Rudin Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 628 | 2020 |
| Fine-tuning language models with just forward passes S Malladi, T Gao, E Nichani, A Damian, JD Lee, D Chen, S Arora Advances in Neural Information Processing Systems 36, 53038-53075, 2023 | 144 | 2023 |
| Label noise sgd provably prefers flat global minimizers A Damian, T Ma, JD Lee Advances in Neural Information Processing Systems 34, 27449-27461, 2021 | 130 | 2021 |
| Neural networks can learn representations with gradient descent A Damian, J Lee, M Soltanolkotabi Conference on Learning Theory, 5413-5452, 2022 | 128 | 2022 |
| Self-stabilization: The implicit bias of gradient descent at the edge of stability A Damian, E Nichani, JD Lee arXiv preprint arXiv:2209.15594, 2022 | 79 | 2022 |
| How transformers learn causal structure with gradient descent E Nichani, A Damian, JD Lee arXiv preprint arXiv:2402.14735, 2024 | 43 | 2024 |
| New techniques for preserving global structure and denoising with low information loss in single-image super-resolution Y Bei, A Damian, S Hu, S Menon, N Ravi, C Rudin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 36 | 2018 |
| Smoothing the landscape boosts the signal for sgd: Optimal sample complexity for learning single index models A Damian, E Nichani, R Ge, JD Lee Advances in Neural Information Processing Systems 36, 2024 | 35 | 2024 |
| Computational-Statistical Gaps in Gaussian Single-Index Models A Damian, L Pillaud-Vivien, JD Lee, J Bruna arXiv preprint arXiv:2403.05529, 2024 | 18* | 2024 |
| Provable guarantees for nonlinear feature learning in three-layer neural networks E Nichani, A Damian, JD Lee Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition S Menon, A Damian, S Hu, N Ravi, C Rudin | 10 | 2020 |
| Ntire 2018 challenge on single image super-resolution: Methods and results. In 2018 IEEE R Timofte, S Gu, J Wu, LV Gool, L Zhang, MH Yang CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2018 | 10 | 2018 |
| Pulse: Selfsupervised photo upsampling via latent space exploration of generative models. In 2020 IEEE S Menon, A Damian, S Hu, N Ravi, C Rudin CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020b. doi 10, 0 | 9 | |
| Understanding Optimization in Deep Learning with Central Flows JM Cohen, A Damian, A Talwalkar, Z Kolter, JD Lee arXiv preprint arXiv:2410.24206, 2024 | | 2024 |
| Squeeze-Free Hamiltonian Paths in Grid Graphs A Damian, R Flatland Conference on Computational Geometry, 241, 2015 | | 2015 |
