Manifolds

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Period ending 2026-09-21

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120 papers

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  1. Special Lagrangian cones in Deep Learning

    Sep 17, 2026Tejas Kotwal, Govind MenonManifoldsLagrangian Methods

  2. Stiefel Attention: When the Geometry of Transformer Projection Matrices Dominates Optimizer Choice---and When It Does Not

    Sep 16, 2026Rubén Darío GuerreroRiemannian OptimizationAdam

  3. Learning Array Signal Topologies as Conditional Neural Manifolds

    Sep 16, 2026Julian P. Merkofer, Vincent van de Schaft, Ruud J. G. van SlounManifoldsSuper-Resolution Framework

  4. Approximating High Dimensional Self-Motion Manifolds via Deep Generative Models

    Sep 16, 2026Haitao Gao, Yang Song, Liao WuRobotic ArmsMotion Planners

  5. Low-Dimensional Embeddings for Gaussian Kernels on Manifolds

    Sep 14, 2026Soumik Dutta, Kunal DuttaKernel MethodManifolds

  6. Solving Few-Shot Multiobjective Multitask Optimization via Iterative Sequential Transfer

    Sep 12, 2026Tingyang Wei, Haofeng Wu, Ananda Phan Iman +3Multi-Objective OptimizationTransfer Learning

  7. Global Divergence, Local Convergence: Representation Geometry in SSMs and Transformers

    Sep 8, 2026Amit Ben-Artzy, Roy SchwartzTransformer ArchitecturesRepresentational Capacity

  8. Geometry-Aware Bayesian Parameter-Efficient Fine-Tuning on the Stiefel Manifold via Stein Variational Gradient Descent

    Sep 8, 2026Quang-Duy Tran, Trung Le, Bao Duong +2ManifoldsParameter-Efficient Fine-Tuning

  9. From Explicit References to Scene Manifolds: Distributional Fidelity and Realism for Radiance Field Quality Assessment

    Sep 7, 2026Saeed Mahmoudpour, Gi-Mun Um, Hyon-Gon Choo +1Novel View SynthesisPerceptual Quality

  10. Multi-step Proximal Policy Improvement in Offline Reinforcement Learning

    Sep 3, 2026Soohyun Choi, Seonvin Cho, Songnam HongOffline Reinforcement LearningProximal Policy Optimization

  11. Proximity3D: Shape from Capacitive Proximity on Sensing Manifold

    Aug 31, 2026Hao Chen, Chenming Wu, Chun Ping Lam +6Geometric ReconstructionSensors

  12. Off-Manifold Refinement: Guiding Video Generators with a Frozen World Model

    Aug 30, 2026Hai Nguyen-Truong, Tuan-Anh Vu, Dang HuynhLong Video GenerationWorld Models

  13. Partially Linear Autoencoders for Manifold Learning and Dimensionality Reduction

    Aug 30, 2026Louen Pottier, Louis Lesueur, Anders ThorinMasked AutoencodersDimensionality Reduction

  14. Kähler landscapes for complex neural network descents and guarantees including a search and destroy of the Calabi-Yau manifold

    Aug 20, 2026Andrew GracykLoss LandscapeManifolds

  15. Beyond Decision Boundaries: Relational Geometry Attacks on Contrastive Embedding Manifolds

    Aug 10, 2026Fei Zhao, Peiyuan Zhang, Xi Li +2Adversarial ExamplesContrastive

  16. HoloAegis: Frozen Representation, Topological Inference --- Minimally Parametric Safety Manifolds and Their Capability Boundaries for LLM Guardrails

    Aug 9, 2026Tak Ho Alex Li, Kaijie Liu, Lik-Hang Lee +3Large Language Model SafetyLarge Language Model Hallucination

  17. Stochastic gradient descent with discontinuity across a manifold

    Aug 7, 2026Vivek S. BorkarStochastic Gradient DescentManifolds

  18. Muon on the Stiefel Manifold Admits an Exact Closed-Form Update

    Aug 6, 2026Mikhail Solonko, Molozhavenko Alexander, Maxim RakhubaMuon OptimizerRiemannian Optimization

  19. Flow-Map Distillation on Relation Manifolds for Image Restoration

    Aug 6, 2026Zihao He, Songhua LiuImage RestorationSelf-Supervised Reconstruction Method

  20. Intrinsic-Hybrid Latent Diffusion Models for Generative Modeling on Unknown Manifolds

    Aug 5, 2026Yizhu Wang, Mu Niu, Xiaochen YangIdentity-Conditioned Latent Diffusion ModelsLatent Diffusion Model

  21. Physics-informed reduced-order modelling with equivariant spectral submanifolds

    Aug 4, 2026Georg MaierhoferReduced-Order ModelsManifolds

  22. Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory

    Aug 3, 2026Zhaotian Gu, Jie Su, Weiwei Wang +3Recurrent Neural NetworksSynaptic Plasticity

  23. Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching

    Aug 1, 2026Hongjie Wu, Yiping Xie, Jiancheng LvIll-Posed Inverse ProblemInverse Problem

  24. Manifold-GS: Certified Hybrid Assets via Varifold-Conservative Gaussian Splatting

    Jul 31, 2026Boyang Li3D Gaussian SplatsGaussian Splatting

  25. Retraction-Free Optimization over the Stiefel Manifold for the LoRA Fine-Tuning

    Jul 28, 2026Yuan Zhang, Jiang Hu, Zhijian Lai +2Low-Rank AdaptationRiemannian Optimization

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

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

  27. Regularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications

    Jul 23, 2026Zhuan Liang, Zheng ZhaiManifold Learning MethodRegularization Techniques

  28. A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling

    Jul 21, 2026Eric Herrison Gyamfi, Emily L. Kang, Bledar A. Konomi +1Gaussian ProcessDimensionality Reduction

  29. Riemannian Deep Learning: Modules, Networks, and Geometries

    Jul 21, 2026Ziheng ChenStatistical ManifoldManifolds

  30. NSMA: Neuro-Symbolic Manifold Alignment for Generalizable Adaptive Bitrate Streaming under Texture Shift

    Jul 21, 2026Zhiqiang He, Zhi LiuNeuro-Symbolic FrameworkManifolds

  31. Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds

    Jul 12, 2026Swagatam Das, Vaclav SnaselGeneralized U-StatisticsConcentration Inequalities

  32. Dynamics of Gradient Descent with Large Step Size Near a Manifold of Flat Minima

    Jul 9, 2026Lachlan Ewen MacDonald, René VidalGradient DescentCondition Number

  33. AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate

    Jul 9, 2026Siyuan Wen, Jiahao Zeng, Ningning DingText-To-Image Diffusion ModelsExact Unlearning

  34. Dynamic neural manifolds for flexible closed-loop control on neuromorphic hardware

    Jul 8, 2026Oskar von Seeler, Christian Tetzlaff, Andrew LehrNeuromorphic HardwareNeural Control

  35. Intrinsic Green's Learning: Supervised Learning on Manifolds via Inverse PDE

    Jul 8, 2026Alexandre QuemyIntrinsic DimensionalityManifolds

  36. Heat-Kernel Entropy Profiles and Geometric Effective Sample Size for Weighted Measures on Manifolds

    Jul 7, 2026Kisung YouImportance SamplingWasserstein Distance

  37. FlatManifold: Robust Continual Learning under Severe Label Noise and Domain Shifts via Intrinsic Manifold Flattening

    Jul 6, 2026Rai Hisada, Kanji TanakaEfficient Continual LearningNoisy Labels

  38. MANCE: Manifold Aware Concept Erasure

    Jul 4, 2026Matan Avitan, Yoav Goldberg, Yanai ElazarConcept ErasureManifolds

  39. Missing Data Imputation under Manifold Hypothesis

    Jul 3, 2026Zelong Bi, Amuchechukwu Ibenegbu, Sarat MokaMultivariate Time Series ImputationImputation

  40. Diffeomorphic Optimization

    Jul 1, 2026Ludwig Winkler, Andrew Leaver-Fay, Joseph Kleinhenz +1Protein DesignManifolds

  41. Not All Prediction Targets Keep Training-Free Diffusion Guidance on the Manifold

    Jul 1, 2026Yunsung Lee, Hyeongmin LeeReward-Guided DiffusionTraining-Free

  42. A Stochastic--Geometric Theory of Scaling Laws in Grokking

    Jun 29, 2026Róisín Luo, Christian Gagné, Jonas Ngnawé +2GrokkingScaling Laws

  43. MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction

    Jun 29, 2026Shuo Zhou, Zhaoxin Li, Xiujuan ChaiDense PredictionMulti--Task Learning

  44. Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video Generation

    Jun 29, 2026Shihao Zhang, Yunzhi Li, Yuguang Yan +4Video LatentsManifolds

  45. Exploring the Intrinsic Geometry of Diffusion Models with Constrained Inverse Kinematics

    Jun 24, 2026Miguel Angel Rogel Garcia, Phone Thiha Kyaw, Jonathan KellyInverse KinematicsManifolds

  46. Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds

    Jun 23, 2026Thomas Fel, Matthew Kowal, Mozes Jacobs +22Implicit Neural RepresentationsSparsity

  47. Bridging the Manifold Gap: Riemannian Residual Line Search for One-Step Image Editing

    Jun 23, 2026Hongzhu Yi, Zhongtian Luo, Tong Li +2Diffusion EditingImage Editing

  48. MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

    Jun 21, 2026Francesco Di Salvo, Sebastian Doerrich, Christian LedigOut-Of-Distribution DetectionOut-Of-Distribution

  49. Encoder-Decoder Manifold Alignment for Idempotent Generation

    Jun 21, 2026Dareen Alharthi, Abdul Waheed, Bhiksha RajGenerative ModelsManifolds

  50. Coupled Routing and Configuration Optimization for Multi-Viewpoint Robotic Inspection

    Jun 17, 2026Minh Nhat Vu, Khang Nguyen, Vu Trung Tran +1Robotic PerceptionTrajectory Optimization

  51. The Data Manifold under the Microscope

    Jun 14, 2026Marios Koulakis, Constantin SeiboldStatistical ManifoldManifolds

  52. Different Layers, Different Manifolds: Module-Wise Weight-Space Geometry in Transformer Optimization

    Jun 11, 2026Kirato YoshiharaManifoldsNeural Network Optimization

  53. Self-Guidance: Enhancing Neural Codecs via Decoder Manifold Alignment

    Jun 11, 2026Xiang Li, Yixuan Zhou, Jingran Xie +2Neural Audio CodecsAudio Tokens

  54. LoRA-Muon: Spectral Steepest Descent on the Low-Rank Manifold

    Jun 11, 2026Franz Louis Cesista, Katherine Crowson, Cédric Simal +1Low-Rank AdaptationLow-Rank Factorization

  55. LieIPM: Lie Group Interior Point Method for Direct Trajectory Optimization of Rigid Bodies

    Jun 9, 2026Sangli Teng, Ruiqi Zhang, Tzu-Yuan Lin +5Rigid-Body DynamicsLie Group

  56. Constructing VAE Latent Spaces with Prescribed Topology

    Jun 5, 2026Jilles S. van Hulst, Jakub M. Tomczak, W. P. M. H. Heemels +1Variational AutoencoderManifolds

  57. DRIFT: From Robustness Gaps to Invariance Manifolds for AI-Generated Image Detection

    Jun 5, 2026Abhishek Ameta, Sayan Banerjee, Shreyas Pandith +4Ai-Generated Image DetectionFrozen Vision-Language Models

  58. A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations

    Jun 4, 2026Sophie ZhaoSpatial RepresentationRepresentation Space

  59. PhyScene3D: Physically Consistent Interactive 3D Tabletop Scene Generation

    Jun 1, 2026Weixing Chen, Zhuoqian Feng, Yang Liu +63D Scenes3D Object Understanding

  60. Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding

    May 31, 2026Yingxuan Zhuang, Jingxiao Yang, Miao Pan +7Large Language Model HallucinationHallucination Mitigation