Extending the Pennisi-McCormick Second-Order Sufficiency Theory for Nonlinear Programming to Infinite Dimensions. - Richard H. Byrd; Jorio Cocola; Richard A. Tapia (SIAM J. Optim., 2019)

Global Convergence of Sobolev Training for Overparameterized Neural Networks. - Jorio Cocola; Paul Hand (LOD (1), 2020)

Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors. - Jorio Cocola; Paul Hand; Vladislav Voroninski (NeurIPS, 2020)

Global Convergence of Sobolev Training for Overparametrized Neural Networks. - Jorio Cocola; Paul Hand (CoRR, 2020)

Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors. - Jorio Cocola; Paul Hand; Vladislav Voroninski (CoRR, 2020)

No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors. - Jorio Cocola; Paul Hand; Vladislav Voroninski (Entropy, 2021)

Signal Recovery with Non-Expansive Generative Network Priors. - Jorio Cocola (NeurIPS, 2022)

Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions. - Jorio Cocola; John Tencer; Francesco Rizzi; Eric J. Parish; Patrick J. Blonigan (CoRR, 2023)

Regularized Training of Intermediate Layers for Generative Models for Inverse Problems. - Sean Gunn; Jorio Cocola; Paul Hand (Trans. Mach. Learn. Res., 2023)