Risi Kondor - RankMe

76 papers A* 18A 5Journal 41Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Geometric Approach to Steerable Convolutions. CoRR Soumyabrata Kundu, Risi Kondor
2025	J	`jnl`	Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size. CoRR Smayan Khanna, Doruk Efe Gökmen, Risi Kondor, Vincenzo Vitelli
2025	J	`jnl`	Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks. CoRR Su Hyeong Lee, Risi Kondor, Richard Ngo
2025	A*	`conf`	Steerable Transformers for Volumetric Data. ICML Soumyabrata Kundu, Risi Kondor
2024	J	`jnl`	Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics. CoRR Truong Son Hy, Thieu Khang, Risi Kondor
2024	A	`conf`	P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks. AISTATS Andrew R. Hands, Tianyi Sun, Risi Kondor
2024	A*	`conf`	Schur Nets: exploiting local structure for equivariance in higher order graph neural networks. NeurIPS Qingqi Zhang, Ruize Xu, Risi Kondor
2024	J	`jnl`	Sign Rank Limitations for Attention-Based Graph Decoders. CoRR Su Hyeong Lee, Qingqi Zhang, Risi Kondor
2024	A*	`conf`	Sign Rank Limitations for Inner Product Graph Decoders. ICML Su Hyeong Lee, Qingqi Zhang, Risi Kondor
2024	J	`jnl`	Steerable Transformers. CoRR Soumyabrata Kundu, Risi Kondor
2024	J	`jnl`	Unifying O(3) equivariant neural networks design with tensor-network formalism. Mach. Learn. Sci. Technol. Zimu Li, Zihan Pengmei, Han Zheng, Erik H. Thiede, Junyu Liu, Risi Kondor
2023	—	`conf`	Fast Temporal Wavelet Graph Neural Networks. NeurReps Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son Hy, Risi Kondor
2023	J	`jnl`	Fast Temporal Wavelet Graph Neural Networks. CoRR Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son-Hy, Risi Kondor
2023	J	`jnl`	Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs. CoRR Nhat Khang Ngo, Truong Son-Hy, Risi Kondor
2023	J	`jnl`	Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures. CoRR Nhat Khang Ngo, Truong Son Hy, Risi Kondor
2023	J	`jnl`	Multiresolution equivariant graph variational autoencoder. Mach. Learn. Sci. Technol. Truong Son Hy, Risi Kondor
2023	J	`jnl`	P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks. CoRR Tianyi Sun, Andrew Hands, Risi Kondor
2023	J	`jnl`	Transformers are efficient hierarchical chemical graph learners. CoRR Zihan Pengmei, Zimu Li, Chih-chan Tien, Risi Kondor, Aaron R. Dinner
2022	J	`jnl`	Group-Equivariant Neural Networks with Fusion Diagrams. CoRR Zimu Li, Han Zheng, Erik H. Thiede, Junyu Liu, Risi Kondor
2022	—	`conf`	Multiresolution Matrix Factorization and Wavelet Networks on Graphs. TAG-ML Truong Son Hy, Risi Kondor
2022	J	`jnl`	On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU(d) Symmetry. CoRR Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, Risi Kondor
2022	A	`conf`	Permutation Equivariant Layers for Higher Order Interactions. AISTATS Horace Pan, Risi Kondor
2022	J	`jnl`	Predicting Drug-Drug Interactions using Deep Generative Models on Graphs. CoRR Nhat Khang Ngo, Truong Son-Hy, Risi Kondor
2022	J	`jnl`	Symmetry Group Equivariant Architectures for Physics. CoRR 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
2022	—	`conf`	Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. Healthcare AI and COVID-19 Workshop Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor
2022	J	`jnl`	Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. CoRR Truong Son-Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor
2021	—	`conf`	ATOM3D: Tasks on Molecules in Three Dimensions. NeurIPS Datasets and Benchmarks 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
2021	A*	`conf`	Autobahn: Automorphism-based Graph Neural Nets. NeurIPS Erik H. Thiede, Wenda Zhou, Risi Kondor
2021	J	`jnl`	Autobahn: Automorphism-based Graph Neural Nets. CoRR Erik Henning Thiede, Wenda Zhou, Risi Kondor
2021	A	`conf`	Fourier Bases for Solving Permutation Puzzles. AISTATS Horace Pan, Risi Kondor
2021	J	`jnl`	Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs. CoRR Truong Son-Hy, Risi Kondor
2021	J	`jnl`	Multiresolution Graph Variational Autoencoder. CoRR Truong Son-Hy, Risi Kondor
2021	J	`jnl`	Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze. CoRR Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, Risi Kondor
2020	J	`jnl`	A community-powered search of machine learning strategy space to find NMR property prediction models. CoRR 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
2020	J	`jnl`	ATOM3D: Tasks On Molecules in Three Dimensions. CoRR 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
2020	A*	`conf`	Lorentz Group Equivariant Neural Network for Particle Physics. ICML Alexander Bogatskiy, Brandon M. Anderson, Jan T. Offermann, Marwah Roussi, David W. Miller, Risi Kondor
2020	J	`jnl`	Lorentz Group Equivariant Neural Network for Particle Physics. CoRR Alexander Bogatskiy, Brandon M. Anderson, Jan T. Offermann, Marwah Roussi, David W. Miller, Risi Kondor
2020	J	`jnl`	The general theory of permutation equivarant neural networks and higher order graph variational encoders. CoRR Erik Henning Thiede, Truong-Son Hy, Risi Kondor
2019	J	`jnl`	Asymmetric Multiresolution Matrix Factorization. CoRR Pramod Kaushik Mudrakarta, Shubhendu Trivedi, Risi Kondor
2019	A*	`conf`	Cormorant: Covariant Molecular Neural Networks. NeurIPS Brandon M. Anderson, Truong-Son Hy, Risi Kondor
2019	J	`jnl`	Cormorant: Covariant Molecular Neural Networks. CoRR Brandon M. Anderson, Truong-Son Hy, Risi Kondor
2019	J	`jnl`	Deep Learning for Automated Classification and Characterization of Amorphous Materials. CoRR Kirk Swanson, Shubhendu Trivedi, Joshua Lequieu, Kyle Swanson, Risi Kondor
2018	A*	`conf`	Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. NeurIPS Risi Kondor, Zhen Lin, Shubhendu Trivedi
2018	J	`jnl`	Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. CoRR Risi Kondor, Zhen Lin, Shubhendu Trivedi
2018	—	`conf`	Covariant Compositional Networks For Learning Graphs. ICLR (Workshop) Risi Kondor, Hy Truong Son, Horace Pan, Brandon M. Anderson, Shubhendu Trivedi
2018	J	`jnl`	Covariant Compositional Networks For Learning Graphs. CoRR Risi Kondor, Hy Truong Son, Horace Pan, Brandon M. Anderson, Shubhendu Trivedi
2018	J	`jnl`	Effective Resistance-based Germination of Seed Sets for Community Detection. CoRR Jonathan Eskreis-Winkler, Risi Kondor
2018	J	`jnl`	N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials. CoRR Risi Kondor
2018	A*	`conf`	On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups. ICML Risi Kondor, Shubhendu Trivedi
2018	J	`jnl`	On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups. CoRR Risi Kondor, Shubhendu Trivedi
2017	—	`conf`	Multiresolution Kernel Approximation for Gaussian Process Regression. NIPS Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler
2017	A*	`conf`	The Incremental Multiresolution Matrix Factorization Algorithm. CVPR Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
2017	J	`jnl`	The Incremental Multiresolution Matrix Factorization Algorithm. CoRR Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
2016	J	`jnl`	Data mining when each data point is a network. CoRR Karthikeyan Rajendran, Assimakis A. Kattis, Alexander Holiday, Risi Kondor, Ioannis G. Kevrekidis
2016	A	`conf`	Multiresolution Matrix Compression. AISTATS Nedelina Teneva, Pramod Kaushik Mudrakarta, Risi Kondor
2016	—	`conf`	The Multiscale Laplacian Graph Kernel. NIPS Risi Kondor, Horace Pan
2015	J	`jnl`	Parallel MMF: a Multiresolution Approach to Matrix Computation. CoRR Risi Kondor, Nedelina Teneva, Pramod Kaushik Mudrakarta
2015	J	`jnl`	SnFFT: a Julia toolkit for Fourier analysis of functions over permutations. J. Mach. Learn. Res. Gregory Plumb, Deepti Pachauri, Risi Kondor, Vikas Singh
2014	A*	`conf`	Multiresolution Matrix Factorization. ICML Risi Kondor, Nedelina Teneva, Vikas K. Garg
2014	—	`conf`	Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision. NIPS Deepti Pachauri, Risi Kondor, Gautam Sargur, Vikas Singh
2013	—	`conf`	Solving the multi-way matching problem by permutation synchronization. NIPS Deepti Pachauri, Risi Kondor, Vikas Singh
2012	—	`conf`	Multiresolution analysis on the symmetric group. NIPS Risi Kondor, Walter Dempsey
2010	A*	`conf`	A Fourier Space Algorithm for Solving Quadratic Assignment Problems. SODA Risi Kondor
2010	J	`jnl`	Graph Kernels. J. Mach. Learn. Res. S. V. N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Karsten M. Borgwardt
2010	A*	`conf`	Ranking with Kernels in Fourier space. COLT Risi Kondor, Marconi S. Barbosa
2009	—	`conf`	The Graphlet Spectrum. MLG/SRL@ILP Risi Kondor, Nino Shervashidze
2009	A*	`conf`	The graphlet spectrum. ICML Risi Kondor, Nino Shervashidze, Karsten M. Borgwardt
2008	A*	`conf`	The skew spectrum of graphs. ICML Risi Kondor, Karsten M. Borgwardt
2007	J	`jnl`	A complete set of rotationally and translationally invariant features for images CoRR Risi Kondor
2007	A	`conf`	Multi-object tracking with representations of the symmetric group. AISTATS Risi Kondor, Andrew G. Howard, Tony Jebara
2006	—	`conf`	Gaussian and Wishart Hyperkernels. NIPS Risi Kondor, Tony Jebara
2004	J	`jnl`	Probability Product Kernels. J. Mach. Learn. Res. Tony Jebara, Risi Kondor, Andrew G. Howard
2003	A*	`conf`	A Kernel Between Sets of Vectors. ICML Risi Kondor, Tony Jebara
2003	A*	`conf`	Bhattacharyya Expected Likelihood Kernels. COLT Tony Jebara, Risi Kondor
2003	A*	`conf`	Kernels and Regularization on Graphs. COLT Alexander J. Smola, Risi Kondor
2002	A*	`conf`	Diffusion Kernels on Graphs and Other Discrete Input Spaces. ICML Risi Kondor, John D. Lafferty