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BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs., , and . CoRR, (2017)Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk., and . COLT, volume 75 of Proceedings of Machine Learning Research, page 970-978. PMLR, (2018)Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors., , and . CoRR, (2020)Bilinear Compressed Sensing under known Signs via Convex Programming., , , and . CoRR, (2019)Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks., and . ICLR (Poster), OpenReview.net, (2019)Score-based Generative Neural Networks for Large-Scale Optimal Transport., , and . CoRR, (2021)The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model., , , , and . CoRR, (2024)Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime., and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 2975-2993. PMLR, (2023)Global Guarantees for Blind Demodulation with Generative Priors., and . NeurIPS, page 11531-11541. (2019)An Elementary Proof of Convex Phase Retrieval in the Natural Parameter Space via the Linear Program PhaseMax., and . CoRR, (2016)