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riemannian manifold

169 papers

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Co-occurring keywords

manifold learning (403) kernel methods (1097) markov chain monte carlo (725) riemannian geometry (68) gaussian process (1200) representation learning (6206) manifold optimization (67) symmetric positive definite matrix (18) graph neural network (3962) dimensionality reduction (720)

Papers

Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract) AAAI 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels NIPS 2021
HypMix: Hyperbolic Interpolative Data Augmentation EMNLP 2021
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels CORL 2021
Detecting Lexical Semantic Change across Corpora with Smooth Manifolds (Student Abstract) AAAI 2021
Computationally Tractable Riemannian Manifolds for Graph Embeddings AAAI 2021
Orientation Probabilistic Movement Primitives on Riemannian Manifolds CORL 2021
Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks AAAI 2021
Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net CVPR 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds ICML 2021
Learning Riemannian metric for disease progression modeling NIPS 2021
Bayesian Quadrature on Riemannian Data Manifolds ICML 2021
Riemannian Convex Potential Maps ICML 2021
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ICML 2021
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ICML 2021
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent AISTATS 2021
Geometrically Enriched Latent Spaces AISTATS 2021
Shadow Manifold Hamiltonian Monte Carlo AISTATS 2021
No-regret Online Learning over Riemannian Manifolds NIPS 2021
Momentum Improves Optimization on Riemannian Manifolds AISTATS 2021
Differential Privacy Over Riemannian Manifolds NIPS 2021
Learning Riemannian Manifolds for Geodesic Motion Skills RSS 2021
Unitary Branching Programs: Learnability and Lower Bounds ICML 2021
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis NIPS 2021
Wasserstein Control of Mirror Langevin Monte Carlo COLT 2020