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Accelerating sparse inverse problems using structured approximations. (Approximations structurées pour l'accélération de problèmes inverses parcimonieux).

. University of Rennes 1, France, (2019)

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Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions., , and . LVA/ICA, volume 10891 of Lecture Notes in Computer Science, page 456-466. Springer, (2018)Hyperspectral Image Denoising using Dictionary Learning., , and . WHISPERS, page 1-5. IEEE, (2019)Expanding Boundaries of Gap Safe Screening., , and . J. Mach. Learn. Res., (2021)Learning Dictionaries as a Sum of Kronecker Products., , and . IEEE Signal Process. Lett., 24 (5): 559-563 (2017)Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification., , , and . ECML/PKDD (7), volume 14175 of Lecture Notes in Computer Science, page 20-36. Springer, (2023)Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning., , , and . CoRR, (2024)Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising., , and . EUSIPCO, page 1-5. IEEE, (2019)Accelerating sparse inverse problems using structured approximations. (Approximations structurées pour l'accélération de problèmes inverses parcimonieux).. University of Rennes 1, France, (2019)PDiscoNet: Semantically consistent part discovery for fine-grained recognition., , , , , , and . ICCV, page 1866-1876. IEEE, (2023)Faster and Still Safe: Combining Screening Techniques and Structured Dictionaries to Accelerate the Lasso., and . ICASSP, page 4069-4073. IEEE, (2018)