Maxime Sangnier
Centre National de la Recherche Scientifique(FR)Université Paris Cité(FR)Sorbonne Université(FR)Sorbonne Paris Cité(FR)Laboratoire de Probabilités et Modèles Aléatoires(FR)
Publications by Year
Research Areas
Sparse and Compressive Sensing Techniques, Point processes and geometric inequalities, Domain Adaptation and Few-Shot Learning, Diffusion and Search Dynamics, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → Some theoretical properties of GANS(2020)31 cited
- Joint quantile regression in vector-valued RKHSs(2016)
- → Some Theoretical Insights into Wasserstein GANs(2020)17 cited
- → Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity(2023)13 cited
- → Approximating Lipschitz continuous functions with GroupSort neural\n networks(2020)8 cited
- → Filter bank learning for signal classification(2015)7 cited
- → Reduced Basis’ Acquisition by a Learning Process for Rapid On-line Approximation of Solution to PDE’s: Laminar Flow Past a Backstep(2017)6 cited