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ORCIDJorio Cocola
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2020 – today
- 2023
[j3]Sean Gunn, Jorio Cocola, Paul Hand:
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems. Trans. Mach. Learn. Res. 2023 (2023)- [i5]Jorio Cocola, John Tencer, Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan:
Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions. CoRR abs/2303.09630 (2023) - 2022
- [c3]Jorio Cocola:
Signal Recovery with Non-Expansive Generative Network Priors. NeurIPS 2022 - [i4]Sean Gunn, Jorio Cocola, Paul Hand:
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems. CoRR abs/2203.04382 (2022) - [i3]Jorio Cocola:
Signal Recovery with Non-Expansive Generative Network Priors. CoRR abs/2204.13599 (2022) - 2021
- [j2]Jorio Cocola
, Paul Hand, Vladislav Voroninski:
No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors. Entropy 23(1): 115 (2021) - 2020
- [c2]Jorio Cocola, Paul Hand:
Global Convergence of Sobolev Training for Overparameterized Neural Networks. LOD (1) 2020: 574-586 - [c1]Jorio Cocola, Paul Hand, Vladislav Voroninski:
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors. NeurIPS 2020 - [i2]Jorio Cocola, Paul Hand:
Global Convergence of Sobolev Training for Overparametrized Neural Networks. CoRR abs/2006.07928 (2020) - [i1]Jorio Cocola, Paul Hand, Vladislav Voroninski:
Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors. CoRR abs/2006.07953 (2020)
2010 – 2019
- 2019
- [j1]Richard H. Byrd, Jorio Cocola, Richard A. Tapia:
Extending the Pennisi-McCormick Second-Order Sufficiency Theory for Nonlinear Programming to Infinite Dimensions. SIAM J. Optim. 29(3): 1870-1878 (2019)
Coauthor Index
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