• 
  Alain Virouleau. Machine Learning and Big Data for outlier detection, and applications. Statistics [math.ST]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAX028⟩. ⟨tel-02976485⟩
• 
  Clément Chadebec, Clément Mantoux, Stéphanie Allassonnière. Geometry-Aware Hamiltonian Variational Auto-Encoder. 2020. ⟨hal-02974244⟩
• 
  Adrien Prodhomme. Strong Gaussian approximation of metastable density-dependent Markov chains on large time scales. 2020. ⟨hal-02964906v2⟩
• 
  Pierre-Cyril Aubin-Frankowski, Zoltán Szabó. Hard Shape-Constrained Kernel Machines. Advances in Neural Information Processing Systems (NeurIPS-2020), Dec 2020, Vancouver (Virtual), Canada. ⟨hal-02625276v2⟩
• 
  Anne-Sophie Bonnet-Ben Dhia, Lucas Chesnel, Mahran Rihani. Maxwell's equations with hypersingularities at a conical plasmonic tip. 2020. ⟨hal-02969739⟩
• 
  Carl Graham, Jérome Harmand, Sylvie Méléard, Josué Tchouanti. Bacterial metabolic heterogeneity: from stochastic to deterministic models. Mathematical Biosciences and Engineering, AIMS Press, 2020, 17 (5), pp.5120-5133. ⟨10.3934/mbe.2020276⟩. ⟨hal-02969310⟩
• 
  Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga. Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions. 2020. ⟨hal-02941429v2⟩
• 
  Marine Le Morvan, Julie Josse, Thomas Moreau, Erwan Scornet, Gaël Varoquaux. NeuMiss networks: differential programming for supervised learning with missing values. Advances in Neural Information Processing Systems 33, Dec 2020, Vancouver, Canada. ⟨hal-02888867v2⟩
• 
  Konstantinos Varelas, Anne Auger, Nikolaus Hansen. Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso. PPSN 2020: the Sixteenth International Conference on Parallel Problem Solving from Nature, Sep 2020, Leiden, Netherlands. ⟨hal-02960269⟩
• 
  Konstantinos Varelas, Ouassim Ait El Hara, Dimo Brockhoff, Nikolaus Hansen, Duc Manh Nguyen, et al.. Benchmarking large-scale continuous optimizers: the bbob-largescale testbed, a COCO software guide and beyond. Applied Soft Computing, Elsevier, In press. ⟨hal-02960253⟩
• 
  Geoffroy Berthelot, Liubov Tupikina, Min-Yeong Kang, Bernard Sapoval, Denis Grebenkov. Pseudo-Darwinian evolution of physical flows in complex networks. Scientific Reports, 2020, 10 (1), ⟨10.1038/s41598-020-72379-8⟩. ⟨hal-02959924⟩
• 
  Clément Bénard, Gérard Biau, Sébastien da Veiga, Erwan Scornet. Interpretable Random Forests via Rule Extraction. 2020. ⟨hal-02557113v3⟩
• 
  Alejandro Fernandez Montero. Vlasov limit for a chain of oscillators with Kac potentials. 2020. ⟨hal-02957947⟩
• 
  M Boissier, G. Allaire, C. Tournier. SCANNING PATH OPTIMIZATION USING SHAPE OPTIMIZATION TOOLS. 2020. ⟨hal-02410481v2⟩
• 
  Clément Cancès, Flore Nabet. Finite Volume approximation of a two-phase two fluxes degenerate Cahn-Hilliard model. 2020. ⟨hal-02561981v2⟩
• 
  Florian Feppon. High order homogenization of the Poisson equation in a perforated periodic domain. 2020. ⟨hal-02518528v5⟩
• 
  Alison Etheridge, Amandine Véber, Feng Yu. Rescaling limits of the spatial Lambda-Fleming-Viot process with selection. Electronic Journal of Probability, Institute of Mathematical Statistics (IMS), 2020, 25, pp.1 - 89. ⟨10.1214/20-EJP523⟩. ⟨hal-02953327⟩
• 
  Antonin Chambolle, Luca A.D. Ferrari, Benoit Merlet. Variational approximation of size-mass energies for k-dimensional currents. ESAIM: Control, Optimisation and Calculus of Variations, EDP Sciences, 2019, 25, pp.43. ⟨10.1051/cocv/2018027⟩. ⟨hal-02952640⟩
• 
  Clément Bénard, Gérard Biau, Sébastien da Veiga, Erwan Scornet. SIRUS: Stable and Interpretable RUle Set. 2020. ⟨hal-02190689v3⟩
• 
  Sylvain Ferrand, François Alouges, Matthieu Aussal. Binaural spatialization methods for indoor navigation. Audio Engineering Society Convention 142., May 2017, Berlin, Germany. ⟨hal-02948560⟩

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