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Connections between Numerical Algorithms for PDEs and Neural Networks., , , , и . CoRR, (2021)Learning Integrodifferential Models for Image Denoising., и . ICASSP, стр. 2045-2049. IEEE, (2021)Translating Diffusion, Wavelets, and Regularisation into Residual Networks., , и . CoRR, (2020)Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising., и . ICASSP, стр. 2018-2022. IEEE, (2020)Translating Numerical Concepts for PDEs into Neural Architectures., , , и . SSVM, том 12679 из Lecture Notes in Computer Science, стр. 294-306. Springer, (2021)Generative AI Models: Opportunities and Risks for Industry and Authorities., , , , , , , , , и 5 other автор(ы). CoRR, (2024)Learning Sparse Masks for Diffusion-Based Image Inpainting., , и . IbPRIA, том 13256 из Lecture Notes in Computer Science, стр. 528-539. Springer, (2022)Connections Between Numerical Algorithms for PDEs and Neural Networks., , , , и . J. Math. Imaging Vis., 65 (1): 185-208 (января 2023)JPEG Meets PDE-based Image Compression., , , и . PCS, стр. 1-5. IEEE, (2021)CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior., , , и . EUVIP, стр. 1-6. IEEE, (2022)