Kondor, Risi

37 publications

ICML 2025 Steerable Transformers for Volumetric Data Soumyabrata Kundu, Risi Kondor

AISTATS 2024 P-Tensors: A General Framework for Higher Order Message Passing in Subgraph Neural Networks Andrew R. Hands, Tianyi Sun, Risi Kondor

NeurIPS 2024 Schur Nets: Exploiting Local Structure for Equivariance in Higher Order Graph Neural Networks Qingqi Zhang, Ruize Xu, Risi Kondor

ICML 2024 Sign Rank Limitations for Inner Product Graph Decoders Su Hyeong Lee, Qingqi Zhang, Risi Kondor

NeurIPSW 2023 Fast Temporal Wavelet Graph Neural Networks Duc Thien Nguyen, Tuan Nguyen, Truong Son Hy, Risi Kondor

NeurIPSW 2023 Fast Temporal Wavelet Graph Neural Networks Duc Thien Nguyen, Tuan Nguyen, Truong Son Hy, Risi Kondor

NeurIPSW 2023 Transformers Are Efficient Hierarchical Chemical Graph Learners Zihan Pengmei, Zimu Li, Chih-chan Tien, Risi Kondor, Aaron Dinner

AISTATS 2022 Permutation Equivariant Layers for Higher Order Interactions Horace Pan, Risi Kondor

ICMLW 2022 Multiresolution Equivariant Graph Variational Autoencoder Truong Son Hy, Risi Kondor

ICMLW 2022 Multiresolution Matrix Factorization and Wavelet Networks on Graphs Truong Son Hy, Risi Kondor

NeurIPSW 2022 Predicting Drug-Drug Interactions Using Deep Generative Models on Graphs Khang Nhat Ngo, Truong Son Hy, Risi Kondor

AISTATS 2021 Fourier Bases for Solving Permutation Puzzles Horace Pan, Risi Kondor

NeurIPS 2021 Autobahn: Automorphism-Based Graph Neural Nets Erik Thiede, Wenda Zhou, Risi Kondor

ICML 2020 Lorentz Group Equivariant Neural Network for Particle Physics Alexander Bogatskiy, Brandon Anderson, Jan Offermann, Marwah Roussi, David Miller, Risi Kondor

NeurIPS 2019 Cormorant: Covariant Molecular Neural Networks Brandon Anderson, Truong Son Hy, Risi Kondor

NeurIPS 2018 Clebsch–Gordan Nets: A Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor, Zhen Lin, Shubhendu Trivedi

ICML 2018 On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor, Shubhendu Trivedi

NeurIPS 2017 Multiresolution Kernel Approximation for Gaussian Process Regression Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler

CVPR 2017 The Incremental Multiresolution Matrix Factorization Algorithm Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh

AISTATS 2016 Multiresolution Matrix Compression Nedelina Teneva, Pramod Kaushik Mudrakarta, Risi Kondor

NeurIPS 2016 The Multiscale Laplacian Graph Kernel Risi Kondor, Horace Pan

JMLR 2015 SnFFT: A Julia Toolkit for Fourier Analysis of Functions over Permutations Gregory Plumb, Deepti Pachauri, Risi Kondor, Vikas Singh

ICML 2014 Multiresolution Matrix Factorization Risi Kondor, Nedelina Teneva, Vikas Garg

NeurIPS 2014 Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision Deepti Pachauri, Risi Kondor, Gautam Sargur, Vikas Singh

NeurIPS 2013 Solving the Multi-Way Matching Problem by Permutation Synchronization Deepti Pachauri, Risi Kondor, Vikas Singh

NeurIPS 2012 Multiresolution Analysis on the Symmetric Group Risi Kondor, Walter Dempsey

JMLR 2010 Graph Kernels S.V.N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Karsten M. Borgwardt

COLT 2010 Ranking with Kernels in Fourier Space Risi Kondor, Marconi S. Barbosa

ICML 2009 The Graphlet Spectrum Risi Kondor, Nino Shervashidze, Karsten M. Borgwardt

ICML 2008 The Skew Spectrum of Graphs Risi Kondor, Karsten M. Borgwardt

AISTATS 2007 Multi-Object Tracking with Representations of the Symmetric Group Risi Kondor, Andrew Howard, Tony Jebara

NeurIPS 2006 Gaussian and Wishart Hyperkernels Risi Kondor, Tony Jebara

JMLR 2004 Probability Product Kernels (Special Topic on Learning Theory) Tony Jebara, Risi Kondor, Andrew Howard

ICML 2003 A Kernel Between Sets of Vectors Risi Kondor, Tony Jebara

COLT 2003 Bhattacharyya Expected Likelihood Kernels Tony Jebara, Risi Kondor

COLT 2003 Kernels and Regularization on Graphs Alexander J. Smola, Risi Kondor

ICML 2002 Diffusion Kernels on Graphs and Other Discrete Input Spaces Risi Kondor, John D. Lafferty