riemannian manifold

Orthogonal Multi-Manifold Enriching of Directed Networks AISTATS 2022 Riemannian Diffusion Models NeurIPS 2022 Riemannian Score-Based Generative Modelling NeurIPS 2022 Shape And Structure Preserving Differential Privacy NeurIPS 2022 The Dynamics of Riemannian Robbins-Monro Algorithms COLT 2022 Universal Approximation Under Constraints is Possible with Transformers ICLR 2022 An Online Riemannian PCA for Stochastic Canonical Correlation Analysis NeurIPS 2021 Bayesian Quadrature on Riemannian Data Manifolds ICML 2021 Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net CVPR 2021 Computationally Tractable Riemannian Manifolds for Graph Embeddings AAAI 2021 Detecting Lexical Semantic Change across Corpora with Smooth Manifolds (Student Abstract) AAAI 2021 Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract) AAAI 2021 Differential Privacy Over Riemannian Manifolds NeurIPS 2021 Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ICML 2021 Geometrically Enriched Latent Spaces AISTATS 2021 Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels CoRL 2021 HypMix: Hyperbolic Interpolative Data Augmentation EMNLP 2021 Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ICML 2021 Learning Interaction Kernels for Agent Systems on Riemannian Manifolds ICML 2021 Learning Riemannian Manifolds for Geodesic Motion Skills RSS 2021 Learning Riemannian metric for disease progression modeling NeurIPS 2021 Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent AISTATS 2021 Momentum Improves Optimization on Riemannian Manifolds AISTATS 2021 No-regret Online Learning over Riemannian Manifolds NeurIPS 2021 Orientation Probabilistic Movement Primitives on Riemannian Manifolds CoRL 2021