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David L. Donoho
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Publications
- 2022
- [c30]X. Y. Han, Vardan Papyan, David L. Donoho:
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. ICLR 2022 - 2021
- [i22]X. Y. Han, Vardan Papyan, David L. Donoho:
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. CoRR abs/2106.02073 (2021) - 2020
- [i20]Vardan Papyan, X. Y. Han, David L. Donoho:
Prevalence of Neural Collapse during the terminal phase of deep learning training. CoRR abs/2008.08186 (2020) - 2019
- [i18]Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho:
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR abs/1906.03742 (2019) - 2018
- [c27]Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly:
Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS 2018: 9596-9606 - [i17]Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho:
Neural Proximal Gradient Descent for Compressive Imaging. CoRR abs/1806.03963 (2018) - 2017
- [i15]Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly:
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR abs/1711.10046 (2017)

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