Risi Kondor
Affiliations:- The University of Chicago, Department of Computer Science
- California Institute of Technology, Center for the Mathematics of Information
- University College London, Gatsby Computational Neuroscience Unit
- Columbia University, Machine Learning Lab
According to our database1,
Risi Kondor
authored at least 56 papers
between 2002 and 2024.
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Bibliography
2024
2023
Mach. Learn. Sci. Technol., March, 2023
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks.
CoRR, 2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs.
CoRR, 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures.
CoRR, 2023
2022
On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU(d) Symmetry.
CoRR, 2022
Proceedings of the Topological, 2022
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze.
CoRR, 2021
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A community-powered search of machine learning strategy space to find NMR property prediction models.
CoRR, 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders.
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Deep Learning for Automated Classification and Characterization of Amorphous Materials.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
CoRR, 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
J. Mach. Learn. Res., 2015
2014
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2010
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010
2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
CoRR, 2007
2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
2004
2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
2002
Diffusion Kernels on Graphs and Other Discrete Input Spaces.
Proceedings of the Machine Learning, 2002