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Alex Damian
Alex Damian
Ph.D. Student, Princeton University
Potvrđena adresa e-pošte na princeton.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
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
6282020
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
1442023
Label noise sgd provably prefers flat global minimizers
A Damian, T Ma, JD Lee
Advances in Neural Information Processing Systems 34, 27449-27461, 2021
1302021
Neural networks can learn representations with gradient descent
A Damian, J Lee, M Soltanolkotabi
Conference on Learning Theory, 5413-5452, 2022
1282022
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
792022
How transformers learn causal structure with gradient descent
E Nichani, A Damian, JD Lee
arXiv preprint arXiv:2402.14735, 2024
432024
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
362018
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
352024
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
162024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
S Menon, A Damian, S Hu, N Ravi, C Rudin
102020
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
102018
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
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