← Mathematics
Mathematics & Optimization › Mathematics ›

Algebra

68 directly classified papers

Papers per year

Papers

Principled Simplicial Neural Networks for Trajectory Prediction ICML 2021
The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian NIPS 2021
Network Satisfaction for Symmetric Relation Algebras with a Flexible Atom AAAI 2021
Graph Filtration Learning ICML 2020
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging CVPR 2020
Learning Selection Strategies in Buchberger’s Algorithm ICML 2020
On the Decidability of Intuitionistic Tense Logic without Disjunction IJCAI 2020
Gradient Boosts the Approximate Vanishing Ideal AAAI 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
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data AISTATS 2018
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons NIPS 2018
Beyond Grobner Bases: Basis Selection for Minimal Solvers CVPR 2018
Fundamental Conditions for Low-CP-Rank Tensor Completion JMLR 2017
Algebraic Variety Models for High-Rank Matrix Completion ICML 2017
Specifying a positive threshold function via extremal points ALT 2017
Principal Variety Analysis CORL 2017
Elementary Symmetric Polynomials for Optimal Experimental Design NIPS 2017
An Algebra for Feature Extraction ACL 2017
General Models for Rational Cameras and the Case of Two-Slit Projections CVPR 2017
Learning the Multilinear Structure of Visual Data CVPR 2017
A Guide to Learning Arithmetic Circuits COLT 2016
A Differential Approach to Causality in Staged Trees PGM 2016
A Robust Multilinear Model Learning Framework for 3D Faces CVPR 2016