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EvolGAN: Evolutionary Generative Adversarial Networks

B. Roziere, F. Teytaud, V. Hosu, H. Lin, J. Rapin, M. Zameshina, and O. Teytaud. Proceedings of the Asian Conference on Computer Vision (ACCV), (November 2020)
DOI: 10.1007/978-3-030-69538-5_41

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Jeremy Nuzzo University of Stuttgart

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Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources.J. Bobin, J. Rapin, A. Larue, and J. Starck. IEEE Trans. Signal Processing, 63 (5): 1199-1213 (2015)Inspirational Adversarial Image Generation.M. Rivière, O. Teytaud, J. Rapin, Y. LeCun, and C. Couprie. CoRR, (2019)Robust Sparse Blind Source Separation.C. Chenot, J. Bobin, and J. Rapin. CoRR, (2015)Sparsity and adaptivity for the blind separation of partially correlated sources.J. Bobin, J. Rapin, A. Larue, and J. Starck. CoRR, (2014)Sparse and Non-Negative BSS for Noisy Data.J. Rapin, J. Bobin, A. Larue, and J. Starck. IEEE Trans. Signal Processing, 61 (22): 5620-5632 (2013)Consistent population control: generate plenty of points, but with a bit of resampling.V. Khalidov, M. Oquab, J. Rapin, and O. Teytaud. FOGA, page 116-123. ACM, (2019)EvolGAN: Evolutionary Generative Adversarial NetworksB. Roziere, F. Teytaud, V. Hosu, H. Lin, J. Rapin, M. Zameshina, and O. Teytaud. Computer Vision -- ACCV 2020, page 679-694. Cham, Springer International Publishing, (November 2021)Sparse redundant formulations and non-negativity in Blind Source Separation.J. Rapin, J. Bobin, A. Larue, and J. Starck. EUSIPCO, page 1-5. IEEE, (2013)Application of non-negative matrix factorization to LC/MS data.J. Rapin, A. Souloumiac, J. Bobin, A. Larue, C. Junot, M. Ouethrani, and J. Starck. Signal Processing, (2016)Openly revisiting derivative-free optimization.J. Rapin, P. Dorval, J. Pondard, N. Vasilache, M. Cauwet, C. Couprie, and O. Teytaud. GECCO (Companion), page 267-268. ACM, (2019)

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Disambiguation of "Rapin, Jeremy"

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EvolGAN: Evolutionary Generative Adversarial Networks

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Jeremy Nuzzo University of Stuttgart

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PUMA

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Jeremy Nuzzo University of Stuttgart

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EvolGAN: Evolutionary Generative Adversarial Networks