# 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 database

Collaborative distances:

^{1}, Risi Kondor authored at least 46 papers between 2002 and 2022.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

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## Bibliography

2022

On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU(d) Symmetry.

CoRR, 2022

CoRR, 2022

CoRR, 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

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

CoRR, 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

CoRR, 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

Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network.

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

CoRR, 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

CoRR, 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

J. Mach. Learn. Res., 2010

Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

Proceedings of the COLT 2010, 2010

2009

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Proceedings of the Machine Learning, 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

J. Mach. Learn. Res., 2004

2003

Proceedings of the Machine Learning, 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