Lionel Mathelin, Srikanth Derebail Muralidhar, B Podvin. Flow reconstruction using manifold learning. SIAM Computational Science and Engineering, Feb 2019, Spokane, WA, United States. ⟨hal-04405363⟩
Alex Gorodetsky, Lionel Mathelin. New approaches to learn low-rank models of dynamical systems from streaming data. International Conference on Uncertainty Quantification in Computational Science and Engineering, Jun 2019, Heraklion, Greece. ⟨hal-04405368⟩
Michele Alessandro Bucci, Alex Gorodetsky, Onofrio Semeraro, Alexandre Allauzen, Sergio Chibbaro, et al.. Toward the prediction of chaotic systems for the Reinforcement Learning of turbulent flows. International Workshop on Dynamical Methods in Data-based Exploration of Complex Systems, Max Planck Institute, Oct 2019, Dresden, Germany. ⟨hal-04405377⟩
Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer. CD-ROM -- Complementary Deep - Reduced Order Model. IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics 2022, Jun 2022, Aarhus, Denmark. ⟨hal-04405482⟩
T. C. Dorlas, L. A. Pastur, V. A. Zagrebnov. Condensation in a Disordered Infinite-Range Hopping Bose–Hubbard Model. Journal of Statistical Physics, 2006, 124 (5), pp.1137-1178. ⟨10.1007/s10955-006-9176-x⟩. ⟨hal-00021237⟩
L. Cappanera, P. Debue, H. Faller, D. Kuzzay, E-W. Saw, et al.. Turbulence in realistic geometries with moving boundaries: when simulations meet experiments. Computers and Fluids, 2021, 214, pp.104750. ⟨10.1016/j.compfluid.2020.104750⟩. ⟨hal-02928403v2⟩