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Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions., , , , , , and . CoRR, (2021)Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization., , , , , and . ICLR, OpenReview.net, (2022)Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions., , , , , , and . ICLR, OpenReview.net, (2022)ThinkSum: Probabilistic reasoning over sets using large language models., , , and . CoRR, (2022)Convex Regularization Behind Neural Reconstruction., , , , and . CoRR, (2020)GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction., , , , , , , , and . CoRR, (2022)Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks., , , , , , , , , and 2 other author(s). CoRR, (2022)Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization., , , , , and . CoRR, (2021)ThinkSum: Probabilistic reasoning over sets using large language models., , , and . ACL (1), page 1216-1239. Association for Computational Linguistics, (2023)Convex Regularization behind Neural Reconstruction., , , , and . ICLR, OpenReview.net, (2021)