2020-2021 刊物

• 2021
  • O. Laousy, G. Chassagnon, E. Oyallon, N. Paragios, M.‑P. Revel, M. Vakalopoulou : “Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment”, Machine Learning in Medical Imaging @MICCAI, vol. 12966, Lecture Notes in Computer Science, Strasbourg, France, pp. 317-326, (Springer) (2021)
  • N. Grinsztajn, L. Leconte, Ph. Preux, E. Oyallon : “Interferometric Graph Transform for Community Labeling”, (2021)
  • N. Grinsztajn, Ph. Preux, E. Oyallon : “Low-Rank Projections of GCNs Laplacian”, ICLR 2021 Workshop GTRL, Online, France (2021)
  • L. Thiry, M. Arbel, E. Belilovsky, E. Oyallon : “The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods”, International Conference on Learning Representation (ICLR 2021), Vienna (online), Austria (2021)
  • E. Belilovsky, L. Leconte, L. Caccia, M. Eickenberg, E. Oyallon : “Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning”, (2021)
• 2020
  • E. Belilovsky, M. Eickenberg, E. Oyallon : “Decoupled Greedy Learning of CNNs”, Proceedings of the 37^th International Conference on Machine Learning, Vienna (virtual), Austria, pp. 5368-5377 (2020)
  • E. Oyallon : “Interferometric Graph Transform: a Deep Unsupervised Graph Representation”, 37^th International Conference on Machine Learning (ICML 2020), Online, Austria (2020)
  • M. Andreux, T. Angles, G. Exarchakis, R. Leonarduzzi, G. Rochette, L. Thiry, J. Zarka, S. Mallat, J. Andén, E. Belilovsky, J. Bruna, V. Lostanlen, Matthew J. Hirn, E. Oyallon, S. Zhang, C. Cella, M. Eickenberg : “Kymatio: Scattering Transforms in Python”, Journal of Machine Learning Research, vol. 21 (60), pp. 1-6, (Microtome Publishing) (2020)