Mathematics

Geodesically convex M-estimation in metric spaces COLT 2023 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NeurIPS 2023 Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces NeurIPS 2023 Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023 GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency CVPR 2023 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023 Graph-based multi-layer querying in Parseme Corpora EACL 2023 GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks ICML 2023 Graph Representation for Order-Aware Visual Transformation CVPR 2023 Graph Spectral Embedding using the Geodesic Betweenness Centrality AISTATS 2023 Grassmann Manifold Flows for Stable Shape Generation NeurIPS 2023 Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023 Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract) IJCAI 2023 Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products NeurIPS 2023 Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees CoRL 2023 Hidden Schema Networks ACL 2023 HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization CVPR 2023 High-dimensional Asymptotics of Denoising Autoencoders NeurIPS 2023 High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors ICML 2023 Higher-Order Spectral Clustering Under Superimposed Stochastic Block Models JMLR 2023 H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023 Huber-robust confidence sequences AISTATS 2023 HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model ACL 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning ICML 2023