Jorio Cocola

According to our database, Jorio Cocola authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Latent Generative Models with Tunable Complexity for Compressed Sensing and other Inverse Problems.

Sean Gunn, Jorio Cocola, Oliver De Candido, Vaggos Chatziafratis, Paul Hand

CoRR, March, 2026

2025

Weird Generalization and Inductive Backdoors: New Ways to Corrupt LLMs.

Jan Betley, Jorio Cocola, Dylan Feng, James Chua, Andy Arditi, Anna Sztyber-Betley, Owain Evans

CoRR, December, 2025

2023

Regularized Training of Intermediate Layers for Generative Models for Inverse Problems.

Sean Gunn, Jorio Cocola, Paul Hand

Trans. Mach. Learn. Res., 2023

Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions.

Jorio Cocola, John Tencer, Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan

CoRR, 2023

2022

Signal Recovery with Non-Expansive Generative Network Priors.

Jorio Cocola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors.

Jorio Cocola, Paul Hand, Vladislav Voroninski

Entropy, 2021

2020

Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors.

Jorio Cocola, Paul Hand, Vladislav Voroninski

CoRR, 2020

Global Convergence of Sobolev Training for Overparametrized Neural Networks.

Jorio Cocola, Paul Hand

CoRR, 2020

Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors.

Jorio Cocola, Paul Hand, Vladislav Voroninski

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Global Convergence of Sobolev Training for Overparameterized Neural Networks.

Jorio Cocola, Paul Hand

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

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