Risi Kondor

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 48

Top Topics

Multiresolution

Top Venues

Publications

Truong Son Hy, Thieu Khang, Risi Kondor
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics. CoRR (2024)
Soumyabrata Kundu, Risi Kondor
Steerable Transformers. CoRR (2024)
Andrew R. Hands, Tianyi Sun, Risi Kondor
P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks. AISTATS (2024)
Su Hyeong Lee, Qingqi Zhang, Risi Kondor
Sign Rank Limitations for Attention-Based Graph Decoders. CoRR (2024)
Truong Son Hy, Risi Kondor
Multiresolution equivariant graph variational autoencoder. Mach. Learn. Sci. Technol. 4 (1) (2023)
Nhat Khang Ngo, Truong Son-Hy, Risi Kondor
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs. CoRR (2023)
Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son-Hy, Risi Kondor
Fast Temporal Wavelet Graph Neural Networks. CoRR (2023)
Nhat Khang Ngo, Truong Son Hy, Risi Kondor
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures. CoRR (2023)
Tianyi Sun, Andrew Hands, Risi Kondor
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks. CoRR (2023)
Zihan Pengmei, Zimu Li, Chih-chan Tien, Risi Kondor, Aaron R. Dinner
Transformers are efficient hierarchical chemical graph learners. CoRR (2023)
Horace Pan, Risi Kondor
Permutation Equivariant Layers for Higher Order Interactions. AISTATS (2022)
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)
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 (2022)
Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala Shanahan, Chase Shimmin, Savannah Thais
Symmetry Group Equivariant Architectures for Physics. CoRR (2022)
Nhat Khang Ngo, Truong Son-Hy, Risi Kondor
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs. CoRR (2022)
Truong Son-Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. CoRR (2022)
Zimu Li, Han Zheng, Erik H. Thiede, Junyu Liu, Risi Kondor
Group-Equivariant Neural Networks with Fusion Diagrams. CoRR (2022)
Truong Son Hy, Risi Kondor
Multiresolution Matrix Factorization and Wavelet Networks on Graphs. TAG-ML (2022)
Truong Son-Hy, Risi Kondor
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs. CoRR (2021)
Horace Pan, Risi Kondor
Fourier Bases for Solving Permutation Puzzles. AISTATS (2021)
Truong Son-Hy, Risi Kondor
Multiresolution Graph Variational Autoencoder. CoRR (2021)
Erik H. Thiede, Wenda Zhou, Risi Kondor
Autobahn: Automorphism-based Graph Neural Nets. NeurIPS (2021)
Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander 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)
Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, Risi Kondor
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze. CoRR (2021)
Erik Henning Thiede, Wenda Zhou, Risi Kondor
Autobahn: Automorphism-based Graph Neural Nets. CoRR (2021)
Alexander Bogatskiy, Brandon M. Anderson, Jan T. Offermann, Marwah Roussi, David W. Miller, Risi Kondor
Lorentz Group Equivariant Neural Network for Particle Physics. CoRR (2020)
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 (2020)
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)
Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander 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 (2020)
Erik Henning Thiede, Truong-Son Hy, Risi Kondor
The general theory of permutation equivarant neural networks and higher order graph variational encoders. CoRR (2020)
Pramod Kaushik Mudrakarta, Shubhendu Trivedi, Risi Kondor
Asymmetric Multiresolution Matrix Factorization. CoRR (2019)
Kirk Swanson, Shubhendu Trivedi, Joshua Lequieu, Kyle Swanson, Risi Kondor
Deep Learning for Automated Classification and Characterization of Amorphous Materials. CoRR (2019)
Brandon M. Anderson, Truong-Son Hy, Risi Kondor
Cormorant: Covariant Molecular Neural Networks. CoRR (2019)
Brandon M. Anderson, Truong-Son Hy, Risi Kondor
Cormorant: Covariant Molecular Neural Networks. NeurIPS (2019)
Risi Kondor, Zhen Lin, Shubhendu Trivedi
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. CoRR (2018)
Risi Kondor, Shubhendu Trivedi
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups. ICML (2018)
Risi Kondor, Zhen Lin, Shubhendu Trivedi
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. NeurIPS (2018)
Risi Kondor
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials. CoRR (2018)
Risi Kondor, Shubhendu Trivedi
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups. CoRR (2018)
Risi Kondor, Hy Truong Son, Horace Pan, Brandon M. Anderson, Shubhendu Trivedi
Covariant Compositional Networks For Learning Graphs. CoRR (2018)
Risi Kondor, Hy Truong Son, Horace Pan, Brandon M. Anderson, Shubhendu Trivedi
Covariant Compositional Networks For Learning Graphs. ICLR (Workshop) (2018)
Jonathan Eskreis-Winkler, Risi Kondor
Effective Resistance-based Germination of Seed Sets for Community Detection. CoRR (2018)
Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler
Multiresolution Kernel Approximation for Gaussian Process Regression. NIPS (2017)
Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
The Incremental Multiresolution Matrix Factorization Algorithm. CVPR (2017)
Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
The Incremental Multiresolution Matrix Factorization Algorithm. CoRR (2017)
Nedelina Teneva, Pramod Kaushik Mudrakarta, Risi Kondor
Multiresolution Matrix Compression. AISTATS (2016)
Karthikeyan Rajendran, Assimakis A. Kattis, Alexander Holiday, Risi Kondor, Ioannis G. Kevrekidis
Data mining when each data point is a network. CoRR (2016)
Risi Kondor, Horace Pan
The Multiscale Laplacian Graph Kernel. NIPS (2016)
Risi Kondor, Nedelina Teneva, Pramod Kaushik Mudrakarta
Parallel MMF: a Multiresolution Approach to Matrix Computation. CoRR (2015)
Gregory Plumb, Deepti Pachauri, Risi Kondor, Vikas Singh
SnFFT: a Julia toolkit for Fourier analysis of functions over permutations. J. Mach. Learn. Res. 16 (2015)
Deepti Pachauri, Risi Kondor, Gautam Sargur, Vikas Singh
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision. NIPS (2014)
Risi Kondor, Nedelina Teneva, Vikas K. Garg
Multiresolution Matrix Factorization. ICML (2014)
Deepti Pachauri, Risi Kondor, Vikas Singh
Solving the multi-way matching problem by permutation synchronization. NIPS (2013)
Risi Kondor, Walter Dempsey
Multiresolution analysis on the symmetric group. NIPS (2012)
Risi Kondor, Marconi S. Barbosa
Ranking with Kernels in Fourier space. COLT (2010)
Risi Kondor
A Fourier Space Algorithm for Solving Quadratic Assignment Problems. SODA (2010)
S. V. N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Karsten M. Borgwardt
Graph Kernels. J. Mach. Learn. Res. 11 (2010)
Risi Kondor, Nino Shervashidze, Karsten M. Borgwardt
The graphlet spectrum. ICML (2009)
Risi Kondor, Karsten M. Borgwardt
The skew spectrum of graphs. ICML (2008)
Risi Kondor, Andrew G. Howard, Tony Jebara
Multi-object tracking with representations of the symmetric group. AISTATS (2007)
Risi Kondor
A complete set of rotationally and translationally invariant features for images CoRR (2007)
Risi Kondor, Tony Jebara
Gaussian and Wishart Hyperkernels. NIPS (2006)
Tony Jebara, Risi Kondor, Andrew G. Howard
Probability Product Kernels. J. Mach. Learn. Res. 5 (2004)
Risi Kondor, Tony Jebara
A Kernel Between Sets of Vectors. ICML (2003)
Alexander J. Smola, Risi Kondor
Kernels and Regularization on Graphs. COLT (2003)
Tony Jebara, Risi Kondor
Bhattacharyya Expected Likelihood Kernels. COLT (2003)
Risi Kondor, John D. Lafferty
Diffusion Kernels on Graphs and Other Discrete Input Spaces. ICML (2002)