Algebra

Graphical Representations for Algebraic Constraints of Linear Structural Equations Models PGM 2022 Multiway Spherical Clustering via Degree-Corrected Tensor Block Models AISTATS 2022 Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs NeurIPS 2022 The Algebraic Path Problem for Graph Metrics ICML 2022 Network Satisfaction for Symmetric Relation Algebras with a Flexible Atom AAAI 2021 Principled Simplicial Neural Networks for Trajectory Prediction ICML 2021 The decomposition of the higher-order homology embedding constructed from the k-Laplacian NeurIPS 2021 Unitary Branching Programs: Learnability and Lower Bounds ICML 2021 Gradient Boosts the Approximate Vanishing Ideal AAAI 2020 Graph Filtration Learning ICML 2020 Learning Selection Strategies in Buchberger’s Algorithm ICML 2020 On the Decidability of Intuitionistic Tense Logic without Disjunction IJCAI 2020 On the Distribution of Minima in Intrinsic-Metric Rotation Averaging CVPR 2020 A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance AAAI 2019 GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices CVPR 2019 On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition AISTATS 2019 Beyond Grobner Bases: Basis Selection for Minimal Solvers CVPR 2018 Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons NeurIPS 2018 Weighted Tensor Decomposition for Learning Latent Variables with Partial Data AISTATS 2018 Algebraic Variety Models for High-Rank Matrix Completion ICML 2017 An Algebra for Feature Extraction ACL 2017 Elementary Symmetric Polynomials for Optimal Experimental Design NeurIPS 2017 Fundamental Conditions for Low-CP-Rank Tensor Completion JMLR 2017 General Models for Rational Cameras and the Case of Two-Slit Projections CVPR 2017 Learning the Multilinear Structure of Visual Data CVPR 2017