Benson, Austin R

10 publications

JMLR 2023 Augmented Sparsifiers for Generalized Hypergraph Cuts Nate Veldt, Austin R. Benson, Jon Kleinberg

ICML 2022 Nonlinear Feature Diffusion on Hypergraphs Konstantin Prokopchik, Austin R Benson, Francesco Tudisco

NeurIPS 2022 Understanding Non-Linearity in Graph Neural Networks from the Bayesian-Inference Perspective Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R Benson, Pan Li

NeurIPS 2021 Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components Nate Veldt, Austin R Benson, Jon M. Kleinberg

NeurIPS 2020 Better Set Representations for Relational Reasoning Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser Nam Lim, Austin R Benson

NeurIPS 2020 Entrywise Convergence of Iterative Methods for Eigenproblems Vasileios Charisopoulos, Austin R Benson, Anil Damle

NeurIPS 2019 Neural Jump Stochastic Differential Equations Junteng Jia, Austin R Benson

NeurIPS 2018 Found Graph Data and Planted Vertex Covers Austin R Benson, Jon Kleinberg

NeurIPS 2016 General Tensor Spectral Co-Clustering for Higher-Order Data Tao Wu, Austin R Benson, David F Gleich

NeurIPS 2014 Scalable Methods for Nonnegative Matrix Factorizations of Near-Separable Tall-and-Skinny Matrices Austin R Benson, Jason Lee, Bartek Rajwa, David F Gleich