Geometry

Multiparameter Persistence Landscapes JMLR 2020 Neural Manifold Ordinary Differential Equations NeurIPS 2020 Nonparametric Fisher Geometry with Application to Density Estimation UAI 2020 On the Distribution of Minima in Intrinsic-Metric Rotation Averaging CVPR 2020 On the Expressive Power of Kernel Methods and the Efficiency of Kernel Learning by Association Schemes ALT 2020 Optimal least-squares solution to the hand-eye calibration problem CVPR 2020 Random Projections and α-Shape to Support the Kernel Design (Student Abstract) AAAI 2020 Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity NeurIPS 2020 Robust 3D Self-Portraits in Seconds CVPR 2020 Robust Persistence Diagrams using Reproducing Kernels NeurIPS 2020 Smooth Shells: Multi-Scale Shape Registration With Functional Maps CVPR 2020 Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding NeurIPS 2020 Two Different Mechanisms of Movable Mandible for Vocal-Tract Model with Flexible Tongue Interspeech 2020 Ultrahyperbolic Representation Learning NeurIPS 2020 Active Manifolds: A non-linear analogue to Active Subspaces ICML 2019 Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data JMLR 2019 A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport NeurIPS 2019 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NeurIPS 2019 An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory JMLR 2019 An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction ICCV 2019 Articulatory Characteristics of Secondary Palatalization in Romanian Fricatives Interspeech 2019 A Topological Regularizer for Classifiers via Persistent Homology AISTATS 2019 A Well-Tempered Landscape for Non-convex Robust Subspace Recovery JMLR 2019 Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CoRL 2019 Bézier Simplex Fitting: Describing Pareto Fronts of´ Simplicial Problems with Small Samples in Multi-Objective Optimization AAAI 2019