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Risi Kondor

23 papers · 2004–2025 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (21) 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (6) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion πŸ’Ž Century Club (23) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (106)

Conferences

NIPS (10) ICML (5) AISTATS (4) JMLR (3) CVPR (1)

Top co-authors

Vikas Singh (4) Horace Pan (3) Deepti Pachauri (3) Qingqi Zhang (2) Nedelina Teneva (2) Brandon Anderson (2) Shubhendu Trivedi (2) Tony Jebara (2) Ruize Xu (1) Soumyabrata Kundu (1)

Keywords

sparse approximation (3) kernel methods (3) graph neural network (3) group representation (2) automorphism group (2) higher order interaction (2) group theory (2) graph kernel (2) matrix compression (2) multiresolution matrix factorization (2) matrix factorization (1) structure from motion (1) fourier analysis (1) wavelet transform (1) graph matching (1) computer vision (1) reinforcement learning (1) hyperparameter learning (1) multi-scale analysis (1) wishart distribution (1)

Papers

Steerable Transformers for Volumetric Data ICML 2025
Sign Rank Limitations for Inner Product Graph Decoders ICML 2024
Schur Nets: exploiting local structure for equivariance in higher order graph neural networks NIPS 2024
P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024
Permutation Equivariant Layers for Higher Order Interactions AISTATS 2022
Autobahn: Automorphism-based Graph Neural Nets NIPS 2021
Fourier Bases for Solving Permutation Puzzles AISTATS 2021
Lorentz Group Equivariant Neural Network for Particle Physics ICML 2020
Cormorant: Covariant Molecular Neural Networks NIPS 2019
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups ICML 2018
Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network NIPS 2018
Multiresolution Kernel Approximation for Gaussian Process Regression NIPS 2017
The Incremental Multiresolution Matrix Factorization Algorithm CVPR 2017
Multiresolution Matrix Compression AISTATS 2016
The Multiscale Laplacian Graph Kernel NIPS 2016
SnFFT: A Julia Toolkit for Fourier Analysis of Functions over Permutations JMLR 2015
Multiresolution Matrix Factorization ICML 2014
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision NIPS 2014
Solving the multi-way matching problem by permutation synchronization NIPS 2013
Multiresolution analysis on the symmetric group NIPS 2012
Graph Kernels JMLR 2010
Gaussian and Wishart Hyperkernels NIPS 2006
Probability Product Kernels JMLR 2004