differential geometry

Point-Level Topological Representation Learning on Point Clouds ICML 2025 Riemannian-Geometric Fingerprints of Generative Models ICCV 2025 A Generic and Flexible Regularization Framework for NeRFs WACV 2024 Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks ICLR 2024 Simplicial Representation Learning with Neural k-Forms ICLR 2024 A Differential Geometric View and Explainability of GNN on Evolving Graphs ICLR 2023 On Data Manifolds Entailed by Structural Causal Models ICML 2023 On Monotonic Linear Interpolation of Neural Network Parameters ICML 2021 A Lighting-Invariant Point Processor for Shading CVPR 2020 Fairwashing explanations with off-manifold detergent ICML 2020 Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings CVPR 2020 Minimizing Discrete Total Curvature for Image Processing CVPR 2020 Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping CoRL 2019 3D Registration of Curves and Surfaces Using Local Differential Information CVPR 2018 Trajectory Optimization On Manifolds with Applications to SO(3) and R3XS2 RSS 2018 Differential Geometric Regularization for Supervised Learning of Classifiers ICML 2016 Mirror Surface Reconstruction from a Single Image CVPR 2013 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 Fishbone Model for Belt Object Deformation RSS 2007 Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms JMLR 2001