Risi Kondor
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Diffusion kernels on graphs and other discrete structures
RI Kondor, J Lafferty
Proceedings of the 19th international conference on machine learning 2002 …, 2002
14672002
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
13112010
Graph kernels
SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt
Journal of Machine Learning Research 11, 1201-1242, 2010
10372010
On representing chemical environments
AP Bartók, R Kondor, G Csányi
Physical Review B 87 (18), 184115, 2013
10312013
Kernels and regularization on graphs
AJ Smola, R Kondor
Learning theory and kernel machines, 144-158, 2003
9692003
Probability product kernels
T Jebara, R Kondor, A Howard
The Journal of Machine Learning Research 5, 819-844, 2004
6222004
A kernel between sets of vectors
R Kondor, T Jebara
Proceedings of the 20th international conference on machine learning (ICML …, 2003
3462003
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
2172018
Bhattacharyya and expected likelihood kernels
T Jebara, R Kondor
Learning theory and kernel machines, 57-71, 2003
1682003
Solving the multi-way matching problem by permutation synchronization
D Pachauri, R Kondor, V Singh
Advances in neural information processing systems, 1860-1868, 2013
1602013
Cormorant: Covariant molecular neural networks
B Anderson, TS Hy, R Kondor
arXiv preprint arXiv:1906.04015, 2019
1222019
The multiscale laplacian graph kernel
R Kondor, H Pan
Advances in neural information processing systems 29, 2990-2998, 2016
1222016
Clebsch–gordan nets: a fully fourier space spherical convolutional neural network
R Kondor, Z Lin, S Trivedi
Advances in Neural Information Processing Systems 31, 10117-10126, 2018
1122018
Multi-object tracking with representations of the symmetric group
R Kondor, A Howard, T Jebara
Artificial Intelligence and Statistics, 211-218, 2007
982007
Group theoretical methods in machine learning
IR Kondor
Columbia University, 2008
942008
Covariant compositional networks for learning graphs
R Kondor, HT Son, H Pan, B Anderson, S Trivedi
arXiv preprint arXiv:1801.02144, 2018
932018
The graphlet spectrum
R Kondor, N Shervashidze, KM Borgwardt
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
872009
The skew spectrum of graphs
R Kondor, KM Borgwardt
Proceedings of the 25th international conference on Machine learning, 496-503, 2008
822008
Graph kernels
SVN Vishwanathan, KM Borgwardt, IR Kondor, NN Schraudolph
arXiv preprint arXiv:0807.0093, 2008
732008
N-body networks: a covariant hierarchical neural network architecture for learning atomic potentials
R Kondor
arXiv preprint arXiv:1803.01588, 2018
702018
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