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Risi Kondor
Risi Kondor
Associate Professor, The University of Chicago
Potvrđena adresa e-pošte na cs.uchicago.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
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
25232010
On representing chemical environments
AP Bartók, R Kondor, G Csányi
Physical Review B 87 (18), 184115, 2013
21902013
Diffusion kernels on graphs and other discrete structures
RI Kondor, J Lafferty
Proceedings of the 19th international conference on machine learning 2002 …, 2002
16732002
Graph kernels
SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt
The Journal of Machine Learning Research 11, 1201-1242, 2010
13462010
Kernels and regularization on graphs
AJ Smola, R Kondor
Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003
11102003
Probability product kernels
T Jebara, R Kondor, A Howard
The Journal of Machine Learning Research 5, 819-844, 2004
6762004
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
4882018
Cormorant: Covariant molecular neural networks
B Anderson, TS Hy, R Kondor
Advances in neural information processing systems 32, 2019
4242019
A kernel between sets of vectors
R Kondor, T Jebara
Proceedings of the 20th international conference on machine learning (ICML …, 2003
3602003
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
2712018
Solving the multi-way matching problem by permutation synchronization
D Pachauri, R Kondor, V Singh
Advances in neural information processing systems 26, 2013
2032013
The multiscale laplacian graph kernel
R Kondor, H Pan
Advances in neural information processing systems 29, 2016
2022016
Bhattacharyya and expected likelihood kernels
T Jebara, R Kondor
Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003
1952003
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
1422020
Covariant compositional networks for learning graphs
R Kondor, HT Son, H Pan, B Anderson, S Trivedi
arXiv preprint arXiv:1801.02144, 2018
1422018
Group theoretical methods in machine learning
IR Kondor
Columbia University, 2008
1392008
N-body networks: a covariant hierarchical neural network architecture for learning atomic potentials
R Kondor
arXiv preprint arXiv:1803.01588, 2018
1152018
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
1082020
Multi-object tracking with representations of the symmetric group
R Kondor, A Howard, T Jebara
Artificial intelligence and statistics, 211-218, 2007
1042007
The graphlet spectrum
R Kondor, N Shervashidze, KM Borgwardt
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
982009
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