Jorio Cocola

13 papers A* 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Generative Models with Tunable Complexity for Compressed Sensing and other Inverse Problems. CoRR Sean Gunn, Jorio Cocola, Oliver De Candido, Vaggos Chatziafratis, Paul Hand
2025	J	`jnl`	Weird Generalization and Inductive Backdoors: New Ways to Corrupt LLMs. CoRR Jan Betley, Jorio Cocola, Dylan Feng, James Chua, Andy Arditi, Anna Sztyber-Betley, Owain Evans
2023	J	`jnl`	Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions. CoRR Jorio Cocola, John Tencer, Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan
2023	J	`jnl`	Regularized Training of Intermediate Layers for Generative Models for Inverse Problems. Trans. Mach. Learn. Res. Sean Gunn, Jorio Cocola, Paul Hand
2022	J	`jnl`	Regularized Training of Intermediate Layers for Generative Models for Inverse Problems. CoRR Sean Gunn, Jorio Cocola, Paul Hand
2022	A*	`conf`	Signal Recovery with Non-Expansive Generative Network Priors. NeurIPS Jorio Cocola
2022	J	`jnl`	Signal Recovery with Non-Expansive Generative Network Priors. CoRR Jorio Cocola
2021	J	`jnl`	No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors. Entropy Jorio Cocola, Paul Hand, Vladislav Voroninski
2020	—	`conf`	Global Convergence of Sobolev Training for Overparameterized Neural Networks. LOD (1) Jorio Cocola, Paul Hand
2020	J	`jnl`	Global Convergence of Sobolev Training for Overparametrized Neural Networks. CoRR Jorio Cocola, Paul Hand
2020	J	`jnl`	Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors. CoRR Jorio Cocola, Paul Hand, Vladislav Voroninski
2020	A*	`conf`	Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors. NeurIPS Jorio Cocola, Paul Hand, Vladislav Voroninski
2019	J	`jnl`	Extending the Pennisi-McCormick Second-Order Sufficiency Theory for Nonlinear Programming to Infinite Dimensions. SIAM J. Optim. Richard H. Byrd, Jorio Cocola, Richard A. Tapia