George Stepaniants

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Philippe RigolletMassachusetts Institute of TechnologyVerified email at math.mit.edu
Austin J. StrommeENSAE, CRESTVerified email at ensae.fr
Thibaut Le GouicInstitut de Mathématiques de MarseilleVerified email at math.cnrs.fr
Sinho ChewiInstitute for Advanced StudyVerified email at ias.edu
J. Nathan KutzProfessor of Applied Mathematics & Electrical and Computer EngineeringVerified email at uw.edu
Bingni W. BruntonProfessor, Richard and Joan Komen University Chair, University of Washington, SeattleVerified email at uw.edu
Hannah LawrencePhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Enric Boix-AdseràPhD Student in EECS, MITVerified email at mit.edu
Dominic J. SkinnerNorthwestern UniversityVerified email at mit.edu
Jörn DunkelMassachusetts Institute of TechnologyVerified email at mit.edu
Jan Frederik TotzMITVerified email at mit.edu
Vivian ViallonIARCVerified email at iarc.fr
Pekka Keski-RahkonenInternational Agency for Research on CancerVerified email at iarc.fr
Alasdair D. HastewellPhD Candidate, MITVerified email at mit.edu

George Stepaniants

Verified email at mit.edu - Homepage


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Fast and smooth interpolation on Wasserstein space S Chewi, J Clancy, T Le Gouic, P Rigollet, G Stepaniants, A Stromme International Conference on Artificial Intelligence and Statistics, 3061-3069, 2021	25	2021
Inferring causal networks of dynamical systems through transient dynamics and perturbation G Stepaniants, BW Brunton, JN Kutz Physical Review E 102 (4), 042309, 2020	20	2020
Learning partial differential equations in reproducing kernel hilbert spaces G Stepaniants Journal of Machine Learning Research 24 (86), 1-72, 2023	12	2023
GULP: a prediction-based metric between representations E Boix-Adsera, H Lawrence, G Stepaniants, P Rigollet Advances in Neural Information Processing Systems 35, 7115-7127, 2022	3	2022
The Lebesgue Integral, Chebyshev’s Inequality, and the Weierstrass Approximation Theorem G Stepaniants Webpage, 2017	2	2017
Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein Y Han, P Rigollet, G Stepaniants arXiv preprint arXiv:2311.13595, 2023		2023
Optimal transport for automatic alignment of untargeted metabolomic data M Breeur, G Stepaniants, P Keski-Rahkonen, P Rigollet, V Viallon arXiv preprint arXiv:2306.03218, 2023		2023
Discovering dynamics and parameters of nonlinear oscillatory and chaotic systems from partial observations G Stepaniants, AD Hastewell, DJ Skinner, JF Totz, J Dunkel arXiv preprint arXiv:2304.04818, 2023		2023

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