Adam M. Oberman

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Chris FinlayDeep RenderEmail confirmado em deeprender.ai
Brittany Froese HamfeldtNew Jersey Institute of TechnologyEmail confirmado em njit.edu
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Tiago SalvadorVermillioEmail confirmado em mcgill.ca
Levon NurbekyanDepartment of Mathematics, Emory UniversityEmail confirmado em emory.edu
S osherEmail confirmado em math.ucla.edu
Vikram VoletiStability AIEmail confirmado em stability.ai
Jeff CalderAssociate Professor, University of MinnesotaEmail confirmado em umn.edu
Yanghong HuangMathematics, The University of ManchesterEmail confirmado em manchester.ac.uk
Bilal AbbasiMcGill UniversityEmail confirmado em mail.mcgill.ca
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Diogo Aguiar GomesKing Abdullah University of Science and TechnologyEmail confirmado em kaust.edu.sa
Alexander IannantuonoSoftree Technical Systems, Inc.Email confirmado em softree.com
Alexander KiselevDuke UniversityEmail confirmado em math.duke.edu
Peter ConstantinPrinceton UniversityEmail confirmado em math.princeton.edu
Juan J. ManfrediProfessor of Mathematics, University of PittsburghEmail confirmado em pitt.edu

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Adam M. Oberman

Professor, Department of Mathematics and Statistics, McGill University

Email confirmado em mcgill.ca - Página inicial

Machine Learning Partial Differential Equations Numerical Analysis Scientific Computing Optimization


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
How to train your neural ODE: the world of Jacobian and kinetic regularization C Finlay, JH Jacobsen, L Nurbekyan, A Oberman International conference on machine learning, 3154-3164, 2020	346*	2020
Convergent difference schemes for degenerate elliptic and parabolic equations: Hamilton--Jacobi equations and free boundary problems AM Oberman SIAM Journal on Numerical Analysis 44 (2), 879-895, 2006	286	2006
Numerical solution of the optimal transportation problem using the Monge–Ampère equation JD Benamou, BD Froese, AM Oberman Journal of Computational Physics 260, 107-126, 2014	284*	2014
Numerical methods for the fractional Laplacian: A finite difference-quadrature approach Y Huang, A Oberman SIAM Journal on Numerical Analysis 52 (6), 3056-3084, 2014	245	2014
Wide stencil finite difference schemes for the elliptic Monge-Ampere equation and functions of the eigenvalues of the Hessian AM Oberman Discrete Contin. Dyn. Syst. Ser. B 10 (1), 221-238, 2008	189	2008
Deep relaxation: partial differential equations for optimizing deep neural networks P Chaudhari, A Oberman, S Osher, S Soatto, G Carlier Research in the Mathematical Sciences 5, 1-30, 2018	176	2018
Two numerical methods for the elliptic Monge-Ampere equation JD Benamou, BD Froese, AM Oberman ESAIM: Mathematical Modelling and Numerical Analysis 44 (4), 737-758, 2010	171	2010
A convergent difference scheme for the infinity Laplacian: construction of absolutely minimizing Lipschitz extensions A Oberman Mathematics of computation 74 (251), 1217-1230, 2005	170	2005
Convergent finite difference solvers for viscosity solutions of the elliptic Monge-Ampere equation in dimensions two and higher BD Froese, AM Oberman SIAM J. Numer. Anal., 49 (4), 1692–1714, 2010	167	2010
Bulk Burning Rate in Passive–Reactive Diffusion P Constantin, A Kiselev, A Oberman, L Ryzhik Archive for rational mechanics and analysis 154 (1), 53-91, 2000	148	2000
Numerical methods for matching for teams and Wasserstein barycenters G Carlier, A Oberman, E Oudet ESAIM: Mathematical Modelling and Numerical Analysis 49 (6), 1621-1642, 2015	135	2015
Convergent filtered schemes for the Monge--Ampère partial differential equation BD Froese, AM Oberman SIAM Journal on Numerical Analysis 51 (1), 423-444, 2013	120	2013
The convex envelope is the solution of a nonlinear obstacle problem A Oberman Proceedings of the American Mathematical Society 135 (6), 1689-1694, 2007	116	2007
Lipschitz regularized deep neural networks generalize and are adversarially robust C Finlay, J Calder, B Abbasi, A Oberman arXiv preprint arXiv:1808.09540, 2018	106*	2018
Scaleable input gradient regularization for adversarial robustness C Finlay, AM Oberman Machine Learning with Applications 3, 100017, 2021	89	2021
The Dirichlet problem for the convex envelope A Oberman, L Silvestre Transactions of the American Mathematical Society 363 (11), 5871-5886, 2011	86	2011
An efficient linear programming method for optimal transportation AM Oberman, Y Ruan arXiv preprint arXiv:1509.03668, 2015	84	2015
Fast finite difference solvers for singular solutions of the elliptic Monge–Ampère equation BD Froese, AM Oberman Journal of Computational Physics 230 (3), 818-834, 2011	84	2011
Anisotropic total variation regularized l^ 1-approximation and denoising/deblurring of 2d bar codes R Choksi, Y van Gennip, A Oberman arXiv preprint arXiv:1007.1035, 2010	84	2010
A convergent monotone difference scheme for motion of level sets by mean curvature AM Oberman Numerische Mathematik 99, 365-379, 2004	76	2004

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