| 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 | 1882 | 2010 |
| On representing chemical environments AP Bartók, R Kondor, G Csányi Physical Review B 87 (18), 184115, 2013 | 1640 | 2013 |
| Diffusion kernels on graphs and other discrete structures RI Kondor, J Lafferty Proceedings of the 19th international conference on machine learning 2002 …, 2002 | 1563 | 2002 |
| Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt Journal of Machine Learning Research 11, 1201-1242, 2010 | 1203 | 2010 |
| Kernels and regularization on graphs AJ Smola, R Kondor Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003 | 1036 | 2003 |
| Probability product kernels T Jebara, R Kondor, A Howard The Journal of Machine Learning Research 5, 819-844, 2004 | 661 | 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 | 366 | 2018 |
| A kernel between sets of vectors R Kondor, T Jebara Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 355 | 2003 |
| Cormorant: Covariant molecular neural networks B Anderson, TS Hy, R Kondor Advances in neural information processing systems 32, 2019 | 285 | 2019 |
| 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 | 202 | 2018 |
| Bhattacharyya and expected likelihood kernels T Jebara, R Kondor COLT, 57-71, 2003 | 186 | 2003 |
| Solving the multi-way matching problem by permutation synchronization D Pachauri, R Kondor, V Singh Advances in neural information processing systems 26, 2013 | 179 | 2013 |
| The multiscale laplacian graph kernel R Kondor, H Pan Advances in neural information processing systems 29, 2016 | 165 | 2016 |
| Covariant compositional networks for learning graphs R Kondor, HT Son, H Pan, B Anderson, S Trivedi arXiv preprint arXiv:1801.02144, 2018 | 124 | 2018 |
| Group theoretical methods in machine learning IR Kondor Columbia University, 2008 | 114 | 2008 |
| Multi-object tracking with representations of the symmetric group R Kondor, A Howard, T Jebara Artificial Intelligence and Statistics, 211-218, 2007 | 104 | 2007 |
| N-body networks: a covariant hierarchical neural network architecture for learning atomic potentials R Kondor arXiv preprint arXiv:1803.01588, 2018 | 97 | 2018 |
| The graphlet spectrum R Kondor, N Shervashidze, KM Borgwardt Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 90 | 2009 |
| 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 | 85 | 2020 |
| The skew spectrum of graphs R Kondor, KM Borgwardt Proceedings of the 25th international conference on Machine learning, 496-503, 2008 | 83 | 2008 |
Truong Son HyUniversity of California San Diegoucsd.edu의 이메일 확인됨
