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Jorio Cocola
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 11
Top Topics
Generative Model
Discriminative Learning
Nonlinear Programming
Discriminatively Trained
Top Venues
CoRR
NeurIPS
SIAM J. Optim.
LOD (1)
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Publications
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Sean Gunn
,
Jorio Cocola
,
Paul Hand
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems.
Trans. Mach. Learn. Res.
2023 (2023)
Jorio Cocola
,
John Tencer
,
Francesco Rizzi
,
Eric J. Parish
,
Patrick J. Blonigan
Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions.
CoRR
(2023)
Sean Gunn
,
Jorio Cocola
,
Paul Hand
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems.
CoRR
(2022)
Jorio Cocola
Signal Recovery with Non-Expansive Generative Network Priors.
CoRR
(2022)
Jorio Cocola
Signal Recovery with Non-Expansive Generative Network Priors.
NeurIPS
(2022)
Jorio Cocola
,
Paul Hand
,
Vladislav Voroninski
No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors.
Entropy
23 (1) (2021)
Jorio Cocola
,
Paul Hand
,
Vladislav Voroninski
Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors.
CoRR
(2020)
Jorio Cocola
,
Paul Hand
Global Convergence of Sobolev Training for Overparameterized Neural Networks.
LOD (1)
(2020)
Jorio Cocola
,
Paul Hand
,
Vladislav Voroninski
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors.
NeurIPS
(2020)
Jorio Cocola
,
Paul Hand
Global Convergence of Sobolev Training for Overparametrized Neural Networks.
CoRR
(2020)
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) (2019)