Risi Kondor

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Hy Truong Son(Tenure-Track) Assistant Professor, Indiana State UniversityDirección de correo verificada de indstate.edu
Gabor CsanyiProfessor of Molecular Modelling, Engineering Laboratory, University of CambridgeDirección de correo verificada de cam.ac.uk
Shubhendu TrivediMassachusetts Institute of TechnologyDirección de correo verificada de csail.mit.edu
Tony JebaraSpotifyDirección de correo verificada de spotify.com
Albert P. BartokUniversity of WarwickDirección de correo verificada de warwick.ac.uk
Brandon M AndersonAtomwise, Inc.Dirección de correo verificada de jfi.uchicago.edu
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryDirección de correo verificada de biochem.mpg.de
Horace PanUniversity of ChicagoDirección de correo verificada de uchicago.edu
Vikas SinghUniversity of Wisconsin MadisonDirección de correo verificada de biostat.wisc.edu
Andrew HowardGoogle ResearchDirección de correo verificada de google.com
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityDirección de correo verificada de stat.purdue.edu
Deepti PachauriResearch ScientistDirección de correo verificada de cs.wisc.edu
Alex SmolaBoson AIDirección de correo verificada de smola.org
Erik ThiedeAsst. Prof of Chemistry and Chemical Biology, Cornell UniversityDirección de correo verificada de cornell.edu
Alexander BogatskiyFlatiron InstituteDirección de correo verificada de flatironinstitute.org
Nedelina TenevaUniversity of ChicagoDirección de correo verificada de uchicago.edu
Pramod Kaushik MudrakartaGoogle ResearchDirección de correo verificada de google.com
Wenda ZhouNew York UniversityDirección de correo verificada de nyu.edu
Zhen LinUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Vikas GargMassachusetts Institute of Technology (MIT)Dirección de correo verificada de mit.edu

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Risi Kondor

Associate Professor, The University of Chicago

Dirección de correo verificada de cs.uchicago.edu - Página principal

Machine Learning Computational Harmonic Analysis Deep Learning Machine Learning for Physics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Gaussian approximation potentials: The accuracy of quantum mechanics, without the electrons AP Bartók, MC Payne, R Kondor, G Csányi Physical review letters 104 (13), 136403, 2010	2520	2010
On representing chemical environments AP Bartók, R Kondor, G Csányi Physical Review B 87 (18), 184115, 2013	2186	2013
Diffusion kernels on graphs and other discrete structures RI Kondor, J Lafferty Proceedings of the 19th international conference on machine learning 2002 …, 2002	1672	2002
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt The Journal of Machine Learning Research 11, 1201-1242, 2010	1345	2010
Kernels and regularization on graphs AJ Smola, R Kondor Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003	1110	2003
Probability product kernels T Jebara, R Kondor, A Howard The Journal of Machine Learning Research 5, 819-844, 2004	676	2004
On the generalization of equivariance and convolution in neural networks to the action of compact groups R Kondor, S Trivedi International conference on machine learning, 2747-2755, 2018	488	2018
Cormorant: Covariant molecular neural networks B Anderson, TS Hy, R Kondor Advances in neural information processing systems 32, 2019	423	2019
A kernel between sets of vectors R Kondor, T Jebara Proceedings of the 20th international conference on machine learning (ICML …, 2003	360	2003
Clebsch–gordan nets: a fully fourier space spherical convolutional neural network R Kondor, Z Lin, S Trivedi Advances in Neural Information Processing Systems 31, 2018	271	2018
Solving the multi-way matching problem by permutation synchronization D Pachauri, R Kondor, V Singh Advances in neural information processing systems 26, 2013	203	2013
The multiscale laplacian graph kernel R Kondor, H Pan Advances in neural information processing systems 29, 2016	202	2016
Bhattacharyya and expected likelihood kernels T Jebara, R Kondor Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003	195	2003
Lorentz group equivariant neural network for particle physics A Bogatskiy, B Anderson, J Offermann, M Roussi, D Miller, R Kondor International Conference on Machine Learning, 992-1002, 2020	142	2020
Covariant compositional networks for learning graphs R Kondor, HT Son, H Pan, B Anderson, S Trivedi arXiv preprint arXiv:1801.02144, 2018	142	2018
Group theoretical methods in machine learning IR Kondor Columbia University, 2008	138	2008
N-body networks: a covariant hierarchical neural network architecture for learning atomic potentials R Kondor arXiv preprint arXiv:1803.01588, 2018	115	2018
Atom3d: Tasks on molecules in three dimensions RJL Townshend, M Vögele, P Suriana, A Derry, A Powers, Y Laloudakis, ... arXiv preprint arXiv:2012.04035, 2020	108	2020
Multi-object tracking with representations of the symmetric group R Kondor, A Howard, T Jebara Artificial intelligence and statistics, 211-218, 2007	104	2007
The graphlet spectrum R Kondor, N Shervashidze, KM Borgwardt Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	97	2009

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