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ORCIDRisi Kondor
Person information
- affiliation: The University of Chicago, Department of Computer Science
- affiliation: California Institute of Technology, Center for the Mathematics of Information
- affiliation: University College London, Gatsby Computational Neuroscience Unit
- affiliation: Columbia University, Machine Learning Lab
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2020 – today
- 2025
[c35]Soumyabrata Kundu, Risi Kondor:
Steerable Transformers for Volumetric Data. ICML 2025- [i37]Smayan Khanna, Doruk Efe Gökmen, Risi Kondor, Vincenzo Vitelli:
Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size. CoRR abs/2509.01541 (2025) - [i36]Su Hyeong Lee, Risi Kondor, Richard Ngo:
Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks. CoRR abs/2509.06701 (2025) - [i35]Soumyabrata Kundu, Risi Kondor:
A Geometric Approach to Steerable Convolutions. CoRR abs/2510.18813 (2025) - 2024
- [j5]Zimu Li
, Zihan Pengmei, Han Zheng, Erik H. Thiede, Junyu Liu, Risi Kondor:
Unifying O(3) equivariant neural networks design with tensor-network formalism. Mach. Learn. Sci. Technol. 5(2): 25044 (2024) - [c34]Andrew R. Hands, Tianyi Sun, Risi Kondor:
P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks. AISTATS 2024: 424-432 - [c33]Su Hyeong Lee, Qingqi Zhang, Risi Kondor:
Sign Rank Limitations for Inner Product Graph Decoders. ICML 2024: 27118-27136 - [c32]Qingqi Zhang, Ruize Xu, Risi Kondor:
Schur Nets: exploiting local structure for equivariance in higher order graph neural networks. NeurIPS 2024 - [i34]Su Hyeong Lee, Qingqi Zhang, Risi Kondor:
Sign Rank Limitations for Attention-Based Graph Decoders. CoRR abs/2402.06662 (2024) - [i33]Soumyabrata Kundu, Risi Kondor:
Steerable Transformers. CoRR abs/2405.15932 (2024) - [i32]Truong Son Hy, Thieu Khang, Risi Kondor:
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics. CoRR abs/2406.00469 (2024) - 2023
- [j4]Truong Son Hy, Risi Kondor:
Multiresolution equivariant graph variational autoencoder. Mach. Learn. Sci. Technol. 4(1): 15031 (2023) - [c31]Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son Hy, Risi Kondor:
Fast Temporal Wavelet Graph Neural Networks. NeurReps 2023: 35-54 - [i31]Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son-Hy, Risi Kondor:
Fast Temporal Wavelet Graph Neural Networks. CoRR abs/2302.08643 (2023) - [i30]Nhat Khang Ngo, Truong Son Hy, Risi Kondor:
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures. CoRR abs/2302.08647 (2023) - [i29]Nhat Khang Ngo, Truong Son-Hy, Risi Kondor:
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs. CoRR abs/2302.08680 (2023) - [i28]Tianyi Sun, Andrew Hands, Risi Kondor:
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks. CoRR abs/2306.10767 (2023) - [i27]Zihan Pengmei, Zimu Li, Chih-chan Tien, Risi Kondor, Aaron R. Dinner:
Transformers are efficient hierarchical chemical graph learners. CoRR abs/2310.01704 (2023) - 2022
- [c30]Horace Pan, Risi Kondor:
Permutation Equivariant Layers for Higher Order Interactions. AISTATS 2022: 5987-6001 - [c29]Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor:
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. Healthcare AI and COVID-19 Workshop 2022: 21-32 - [c28]Truong Son Hy, Risi Kondor:
Multiresolution Matrix Factorization and Wavelet Networks on Graphs. TAG-ML 2022: 172-182 - [i26]Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala E. Shanahan, Chase Shimmin, Savannah Thais:
Symmetry Group Equivariant Architectures for Physics. CoRR abs/2203.06153 (2022) - [i25]Truong Son-Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor:
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. CoRR abs/2205.14831 (2022) - [i24]Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, Risi Kondor:
On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU(d) Symmetry. CoRR abs/2207.07250 (2022) - [i23]Nhat Khang Ngo, Truong Son-Hy, Risi Kondor:
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs. CoRR abs/2209.09941 (2022) - [i22]Zimu Li, Han Zheng, Erik H. Thiede, Junyu Liu, Risi Kondor:
Group-Equivariant Neural Networks with Fusion Diagrams. CoRR abs/2211.07482 (2022) - 2021
- [c27]Horace Pan, Risi Kondor:
Fourier Bases for Solving Permutation Puzzles. AISTATS 2021: 172-180 - [c26]Erik H. Thiede, Wenda Zhou, Risi Kondor:
Autobahn: Automorphism-based Graph Neural Nets. NeurIPS 2021: 29922-29934 - [c25]Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror:
ATOM3D: Tasks on Molecules in Three Dimensions. NeurIPS Datasets and Benchmarks 2021 - [i21]Erik Henning Thiede, Wenda Zhou, Risi Kondor:
Autobahn: Automorphism-based Graph Neural Nets. CoRR abs/2103.01710 (2021) - [i20]Truong Son-Hy, Risi Kondor:
Multiresolution Graph Variational Autoencoder. CoRR abs/2106.00967 (2021) - [i19]Truong Son-Hy, Risi Kondor:
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs. CoRR abs/2111.01940 (2021) - [i18]Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, Risi Kondor:
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze. CoRR abs/2112.07611 (2021) - 2020
- [c24]Alexander Bogatskiy, Brandon M. Anderson, Jan T. Offermann, Marwah Roussi, David W. Miller, Risi Kondor:
Lorentz Group Equivariant Neural Network for Particle Physics. ICML 2020: 992-1002 - [i17]Erik Henning Thiede, Truong-Son Hy, Risi Kondor:
The general theory of permutation equivarant neural networks and higher order graph variational encoders. CoRR abs/2004.03990 (2020) - [i16]Alexander Bogatskiy, Brandon M. Anderson, Jan T. Offermann, Marwah Roussi, David W. Miller, Risi Kondor:
Lorentz Group Equivariant Neural Network for Particle Physics. CoRR abs/2006.04780 (2020) - [i15]Lars A. Bratholm, Will Gerrard, Brandon M. Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, J. Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants:
A community-powered search of machine learning strategy space to find NMR property prediction models. CoRR abs/2008.05994 (2020) - [i14]Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror:
ATOM3D: Tasks On Molecules in Three Dimensions. CoRR abs/2012.04035 (2020)
2010 – 2019
- 2019
- [c23]Brandon M. Anderson, Truong-Son Hy, Risi Kondor:
Cormorant: Covariant Molecular Neural Networks. NeurIPS 2019: 14510-14519 - [i13]Brandon M. Anderson, Truong-Son Hy, Risi Kondor:
Cormorant: Covariant Molecular Neural Networks. CoRR abs/1906.04015 (2019) - [i12]Kirk Swanson, Shubhendu Trivedi, Joshua Lequieu, Kyle Swanson, Risi Kondor:
Deep Learning for Automated Classification and Characterization of Amorphous Materials. CoRR abs/1909.04648 (2019) - [i11]Pramod Kaushik Mudrakarta, Shubhendu Trivedi, Risi Kondor:
Asymmetric Multiresolution Matrix Factorization. CoRR abs/1910.05132 (2019) - 2018
- [c22]Risi Kondor, Hy Truong Son, Horace Pan, Brandon M. Anderson, Shubhendu Trivedi:
Covariant Compositional Networks For Learning Graphs. ICLR (Workshop) 2018 - [c21]Risi Kondor, Shubhendu Trivedi:
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups. ICML 2018: 2752-2760 - [c20]Risi Kondor, Zhen Lin, Shubhendu Trivedi:
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. NeurIPS 2018: 10138-10147 - [i10]Risi Kondor, Hy Truong Son, Horace Pan, Brandon M. Anderson, Shubhendu Trivedi:
Covariant Compositional Networks For Learning Graphs. CoRR abs/1801.02144 (2018) - [i9]Risi Kondor, Shubhendu Trivedi:
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups. CoRR abs/1802.03690 (2018) - [i8]Risi Kondor:
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials. CoRR abs/1803.01588 (2018) - [i7]Risi Kondor, Zhen Lin, Shubhendu Trivedi:
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. CoRR abs/1806.09231 (2018) - [i6]Jonathan Eskreis-Winkler, Risi Kondor:
Effective Resistance-based Germination of Seed Sets for Community Detection. CoRR abs/1811.12162 (2018) - 2017
- [c19]Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh:
The Incremental Multiresolution Matrix Factorization Algorithm. CVPR 2017: 692-701 - [c18]Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler:
Multiresolution Kernel Approximation for Gaussian Process Regression. NIPS 2017: 3740-3748 - [i5]Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh:
The Incremental Multiresolution Matrix Factorization Algorithm. CoRR abs/1705.05804 (2017) - 2016
- [c17]Nedelina Teneva, Pramod Kaushik Mudrakarta, Risi Kondor:
Multiresolution Matrix Compression. AISTATS 2016: 1441-1449 - [c16]Risi Kondor, Horace Pan:
The Multiscale Laplacian Graph Kernel. NIPS 2016: 2982-2990 - [i4]Karthikeyan Rajendran, Assimakis A. Kattis, Alexander Holiday, Risi Kondor, Ioannis G. Kevrekidis:
Data mining when each data point is a network. CoRR abs/1612.02908 (2016) - 2015
- [j3]Gregory Plumb, Deepti Pachauri, Risi Kondor, Vikas Singh:
SnFFT: a Julia toolkit for Fourier analysis of functions over permutations. J. Mach. Learn. Res. 16: 3469-3473 (2015) - [i3]Risi Kondor, Nedelina Teneva, Pramod Kaushik Mudrakarta:
Parallel MMF: a Multiresolution Approach to Matrix Computation. CoRR abs/1507.04396 (2015) - 2014
- [c15]Risi Kondor, Nedelina Teneva, Vikas K. Garg:
Multiresolution Matrix Factorization. ICML 2014: 1620-1628 - [c14]Deepti Pachauri, Risi Kondor, Gautam Sargur, Vikas Singh:
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision. NIPS 2014: 541-549 - 2013
- [c13]Deepti Pachauri, Risi Kondor, Vikas Singh:
Solving the multi-way matching problem by permutation synchronization. NIPS 2013: 1860-1868 - 2012
- [c12]Risi Kondor, Walter Dempsey:
Multiresolution analysis on the symmetric group. NIPS 2012: 1646-1654 - 2010
- [j2]S. V. N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Karsten M. Borgwardt:
Graph Kernels. J. Mach. Learn. Res. 11: 1201-1242 (2010) - [c11]Risi Kondor, Marconi S. Barbosa:
Ranking with Kernels in Fourier space. COLT 2010: 451-463 - [c10]Risi Kondor:
A Fourier Space Algorithm for Solving Quadratic Assignment Problems. SODA 2010: 1017-1028
2000 – 2009
- 2009
- [c9]Risi Kondor, Nino Shervashidze, Karsten M. Borgwardt:
The graphlet spectrum. ICML 2009: 529-536 - [c8]Risi Kondor, Nino Shervashidze:
The Graphlet Spectrum. MLG/SRL@ILP 2009 - 2008
- [c7]Risi Kondor, Karsten M. Borgwardt:
The skew spectrum of graphs. ICML 2008: 496-503 - [i2]S. V. N. Vishwanathan, Karsten M. Borgwardt, Imre Risi Kondor, Nicol N. Schraudolph:
Graph Kernels. CoRR abs/0807.0093 (2008) - 2007
- [c6]Risi Kondor, Andrew G. Howard, Tony Jebara:
Multi-object tracking with representations of the symmetric group. AISTATS 2007: 211-218 - [i1]Risi Kondor:
A complete set of rotationally and translationally invariant features for images. CoRR abs/cs/0701127 (2007) - 2006
- [c5]Risi Kondor, Tony Jebara:
Gaussian and Wishart Hyperkernels. NIPS 2006: 729-736 - 2004
- [j1]Tony Jebara, Risi Kondor, Andrew G. Howard:
Probability Product Kernels. J. Mach. Learn. Res. 5: 819-844 (2004) - 2003
- [c4]Tony Jebara, Risi Kondor:
Bhattacharyya Expected Likelihood Kernels. COLT 2003: 57-71 - [c3]Alexander J. Smola, Risi Kondor:
Kernels and Regularization on Graphs. COLT 2003: 144-158 - [c2]Risi Kondor, Tony Jebara:
A Kernel Between Sets of Vectors. ICML 2003: 361-368 - 2002
- [c1]Risi Kondor, John D. Lafferty:
Diffusion Kernels on Graphs and Other Discrete Input Spaces. ICML 2002: 315-322
Coauthor Index
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