Riemannian Manifolds

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18 papers in the last four weeks, with none the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 82

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  1. Robot Learning on Discrete Surfaces: Theory and Applications

    Oct 1, 2026Matteo Dalle Vedove, Fares J. Abu-Dakka, Luigi Palopoli +2Scalable Robot LearningSurface Representation

  2. Beyond Unimodal Bases: Pullback Geometry for Multimodal Data

    Sep 30, 2026Honglei Brinkmann, Lucas Ng, Georgios Batzolis +3Riemannian ManifoldsUnimodal Metrics

  3. Riemannian Splat Regression Models for Learning Time Fields on Arbitrary Riemannian Manifolds

    Sep 29, 2026Anastasios Manganaris, Rohit Banerjee, Gokul Prabhakaran +1Data ManifoldRiemannian Manifolds

  4. Intrinsic Associative Memory on Riemannian Manifolds: Curvature, Capacity, and Emergent Modes

    Sep 28, 2026Krishnakumar Balasubramanian, Zhaoyang ShiDense Associative MemoryRiemannian Manifolds

  5. Building Transformation Layers for Riemannian Neural Networks

    Sep 28, 2026Ziheng ChenRiemannian ManifoldsNeural Network Representations

  6. Probabilistic Geodesic Flow Matching on Location-Scale Families

    Sep 28, 2026Zeyuan Yu, Zhi Chang, Shiwei LanRiemannian Flow MatchingDiscriminative Congruence Transform

  7. Recovering Lower-Dimensional Semialgebraic Support of a Measure from its Moments

    Sep 27, 2026Ruben Karapetyan, Shenyuan Ma, Ales Wodecki +1Probability MeasuresRiemannian Manifolds

  8. Task-Induced Riemannian Metrics for Vision Transformer Feature Spaces

    Sep 23, 2026Andrew Bond, Ege Erdem Özlü, Tuna Çimen +4Vision TransformerRiemannian Manifolds

  9. Induced Riemannian Metrics for Motion Planning with Constraints

    Sep 22, 2026Phone Thiha Kyaw, Thomas Cohn, Miguel Angel Rogel Garcia +1Motion PlanningRiemannian Manifolds

  10. When Riemann flows with Wasserstein: Generative Modeling of Probability Distributions on Manifolds

    Sep 22, 2026Doron Haviv, Edward De Brouwer, Rishabh Anand +4Riemannian Flow MatchingData Manifold

  11. RGSQ: Riemannian Geometry-Sensitive Quantization for Large Vision-Language Models

    Sep 21, 2026Zhiping Wu, Dongdong Ren, Yangchengyu Zhou +4Large Language Model QuantizationPost-Training Quantization

  12. Optimization over covariance matrices with a parameterized metric

    Sep 15, 2026Yibang Li, Bamdev Mishra, Pratik Jawanpuria +1Riemannian OptimizationHessian

  13. Space as an Interventional Invariant: Cross-Modal Predictive Geometry for Stratified Cities and Em-Spaced Intelligence

    Sep 14, 2026Tao Yang, Xuhui Lin, Kunyao Li +1Stable Spatial UnderstandingUrban Environments

  14. Heat Kernel Textures: the Geodesic Gaussians That Do Not Splat

    Sep 7, 2026Simone Foti, Caner Korkmaz, Stefanos Zafeiriou +1TextureNovel View Synthesis

  15. High-Capacity Generalized Hopfield Networks

    Aug 8, 2026Victor GalitskiHopfield NetworksNeural Circuits

  16. Mixture of Geodesic Factor Analyzers on Riemannian Homogeneous Spaces

    Aug 7, 2026Hengchao Chen, Yuanyao Tan, Chao Huang +2Gaussian Mixture ModelsRiemannian Manifolds

  17. Learning Smooth SE(3) Trajectories under Left-Invariant Riemannian Metrics

    Aug 3, 2026Yuwei Wu, Vijay KumarRobust TrajectoryRigid-Body Dynamics

  18. Landmark shape spaces with induced metrics

    Jul 30, 2026Sarang Joshi, Peter W. Michor, Stefan SommerRiemannian Manifolds

  19. RODR: Riemannian Orthogonally Decoupled Regularization for Disentangled Manifold Representation

    Jul 27, 2026Jiayu Zhu, Wenlai ZhaoPoint CloudsRiemannian Manifolds

  20. Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers

    Jul 24, 2026Zhangyong Liang, Huanhuan GaoNeural Partial Differential Equation SolversRiemannian Optimization

  21. Higher-Order Geometric Updates for Levenberg-Marquardt Method via Riemann Normal Coordinates

    Jul 8, 2026Jianing Liu, Dong H. ZhangNewtonGeodesic

  22. Riemannian Geometry for Pre-trained Language Model Embeddings

    Jul 8, 2026Szczepan Konior, Alexandre Quemy, Przemysław Klocek +2Token EmbeddingsText Embeddings

  23. On the convergence of graph Laplacians with a symmetric divergence

    Jul 7, 2026Liane XuGraph LaplaciansRiemannian Manifolds

  24. Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection

    Jul 6, 2026Víctor Yeste, Paolo RossoMulti-Label ClassificationIntermediate Decoder Layers

  25. I\textsuperscript{2}RiMA: Spectral Riemannian Representation with Temporal Attention for Mental Stress Detection based on EEG Signals

    Jul 1, 2026Cheng He, Kunyu Peng, Shangen Han +3ElectroencephalographyTemporal Attention

  26. BrainRiem: Riemannian Prototype Learning for Source-Free Cross-Site Brain Network Diagnosis

    Jun 28, 2026Kunyu Zhang, Tianxiang XuHuman Brain NetworksDomain Adaptation

  27. Towards Robust EEG Decoding Based on Riemannian Self-Attention

    Jun 24, 2026Shaocheng Jin, Tao Zhou, Rui Wang +4Small-Sample Electroencephalogram DatasetsElectroencephalography

  28. Decentralized Pose Graph Riemannian Optimization for Object-based Multi-Robot SLAM

    Jun 23, 2026Yixian Zhao, Yan Huang, Yang Xu +2Multi-Robot SystemsSimultaneous Localization And Mapping

  29. Improving Robotic Imitation Learning via Trajectory Standardization

    Jun 22, 2026Licheng Yang, Lingfeng Qian, Fei Zheng +4Imitation LearningTrajectory Generation

  30. Stable Transformer-Actor-Critic Model Predictive Control: A Contraction Analysis Approach

    Jun 18, 2026Antonio Marino, Valerio Modugno, Marco CognettiModel Predictive ControlLyapunov Function

  31. Space Is Intelligence: Neural Semigroup Superposition for Riemannian Metric Generation

    Jun 17, 2026Chenghao XuRiemannian ManifoldsObstacle Avoidance

  32. Finsler Geometry, Graph Neural Networks, and You

    Jun 15, 2026T. Mitchell Roddenberry, Richard G. BaraniukGraph LaplaciansGraph Neural Networks

  33. Riemannian Metric Matching for Scalable Geometric Modeling of Distributions

    Jun 12, 2026Jacob Bamberger, Adam Gosztolai, Pierre Vandergheynst +2Riemannian ManifoldsRiemannian Flow Matching

  34. A Riemannian Approach to Low-Rank Optimal Transport

    Jun 10, 2026Pratik Jawanpuria, Bamdev MishraLow-Rank StructureRiemannian Optimization

  35. Scalable anomaly detection via a univariate Christoffel function

    Jun 10, 2026Florian Grivet, Didier Henrion, Jean-Bernard Lasserre +1Graph Anomaly DetectionIntrinsic Dimensionality

  36. Gradient based Bilevel for Inverse Optimal Control, a Riemannian approach

    Jun 9, 2026Ahmed-Manaf Dahmani, Vincent Bonnet, David Daney +1Optimal ControlShape Optimization

  37. Geodesic Flow Matching on a Riemannian Degradation Manifold for Blind Image Restoration

    Jun 4, 2026Akshay Janardan Bankar, Ankita Chatterjee, Sayan Banerjee +3Riemannian Flow MatchingImage Restoration

  38. A Sliced-Wasserstein Framework on Correlation Matrices for EEG Decoding

    Jun 4, 2026Chen Hu, Rui Wang, Jiale Zhou +4ElectroencephalographyFull-Rank Correlation Matrices

  39. Knowledge Manifold: A Riemannian Geometric Framework for Semantic Mapping and Geodesic Analysis of Scientific Literature

    Jun 4, 2026Tomonaga Okabe, Kazuhiko KomatsuSemantic RelationshipsRiemannian Manifolds

  40. Geometric Second-Order Feature Correlation Learning for Self-Supervised Speech Emotion Recognition

    Jun 4, 2026Shuanglin Li, Ruxiao Qian, Siyang SongEmotion RecognitionHigh-Order Correlations

  41. Learning from Demonstrations over Riemannian Manifolds using Neural ODEs: An Extended Abstract

    Jun 3, 2026Diana Cuervo Espinosa, Mahathi Anand, Angela P. SchoelligGeodesicRiemannian Manifolds

  42. Direct Informed Sampling on Riemannian Manifolds via Loewner Order Lower Bounds

    Jun 1, 2026Phone Thiha Kyaw, Jonathan KellyRiemannian ManifoldsHeuristics

  43. Riemannian Optimization for Hadamard Products of Low-Rank Matrices

    May 31, 2026Pratik Jawanpuria, Ankish Chandresh, Bamdev MishraRiemannian OptimizationLow-Rank Structure

  44. Geodesics with Unified Tangent-constrained Priors and Curvature Regularization

    May 28, 2026Chong Di, Li Liu, Jinglin Zhang +3GeodesicTangent Space

  45. Rao-Blackwellized Score Matching on Manifolds

    May 25, 2026Divit RawalRiemannian ManifoldsManifolds

  46. Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions

    May 22, 2026Willem Diepeveen, Deanna NeedellRiemannian ManifoldsNonlinearity

  47. Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces

    May 21, 2026Mario Severino, Manuela Moretto, Robert A. McCutcheon +1Full-Rank Correlation MatricesHuman Brain Networks