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Convex Regularization Behind Neural Reconstruction.

, , , , и . CoRR, (2020)

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Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization., , , , , и . ICLR, OpenReview.net, (2022)Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions., , , , , , и . ICLR, OpenReview.net, (2022)Convex Regularization behind Neural Reconstruction., , , , и . ICLR, OpenReview.net, (2021)ThinkSum: Probabilistic reasoning over sets using large language models., , , и . ACL (1), стр. 1216-1239. Association for Computational Linguistics, (2023)Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 19050-19088. PMLR, (2022)SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models., , , , , и . MICCAI (3), том 14222 из Lecture Notes in Computer Science, стр. 199-209. Springer, (2023)Convex Regularization Behind Neural Reconstruction., , , , и . CoRR, (2020)GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction., , , , , , , , и . CoRR, (2022)Scaling Convex Neural Networks with Burer-Monteiro Factorization., , , , , и . ICLR, OpenReview.net, (2024)VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction., , , , , , , , и . MIDL, том 172 из Proceedings of Machine Learning Research, стр. 325-352. PMLR, (2022)