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20202026
most citedWeird Generalization and Inductive Backdoors: New Ways to Corrupt LLMs

2 citations · 6 across the 8 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

eess.SP2022

Signal Recovery with Non-Expansive Generative Network Priors

Jorio Cocola

We study compressive sensing with a deep generative network prior. Initial theoretical guarantees for efficient recovery from compressed linear measurements have been developed for…

cs.LG2022

Regularized Training of Intermediate Layers for Generative Models for Inverse Problems

Sean Gunn, Jorio Cocola, Paul Hand

Generative Adversarial Networks (GANs) have been shown to be powerful and flexible priors when solving inverse problems. One challenge of using them is overcoming representation er…