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15 papers in the last four weeks, up 67% on the four weeks before. 0.2% of all new papers.

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  1. Beyond Simulation: Retain-and-Repair Neural Operators for Real-World Adaptation

    Sep 30, 2026Woojin Cho, Junghwan ParkNeural OperatorsRapid Adaptation

    TelePIX

  2. Learning Expressive and Compositional Motion Representation via Spectral Skills

    Sep 29, 2026Feiyang Wu, Chenxiao Gao, Chen Yang +3Full-Body Humanoid ControlHuman-To-Robot Transfer

    Georgia Institute of Technology

  3. On the spectral properties of generative denoiser Jacobians

    Sep 28, 2026Alexandros Graikos, Nebojsa Jojic, Dimitris SamarasDenoising Diffusion Probabilistic ModelIterative Denoising Methods

    Stony Brook University · Microsoft Research

  4. Neural networks for spectral optimization

    Sep 28, 2026Alexis de Villeroché, Beniamin Bogosel, Stéphane Breuils +2Spectral Representation MethodNeural Partial Differential Equation Solvers

  5. Transferable Mass Spectrum Prediction via Reference-Guided Test-time Specialization

    Sep 28, 2026Yunhua Zhong, Runting Li, Yifan Li +5Tandem Mass SpectraMetabolic

    The Hong Kong University of Science and Technology (Guangzhou) · The University of Hong Kong · South China University of Technology +3

  6. First Learn, Then Memorize: The Spectral Bias of Diffusion Models

    Sep 28, 2026Raphaël Urfin, Tony Bonnaire, Giulio Biroli +1Neural Tangent KernelDiffusion Models

    Laboratoire de Physique de l’École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France · Université Paris-Saclay, CNRS, Institut d’Astrophysique Spatiale, 91405 Orsay, France · Department of Computing Sciences, Bocconi University, Milano, Italy

  7. LionMuon: Alternating Spectral and Sign Descent for Efficient Training

    Sep 28, 2026Arman Bolatov, Artem Riabinin, Nikita Kornilov +4MuonDescent

    Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) · Basic Research of Artificial Intelligence Laboratory (BRAIn Lab) · Applied Artificial Intelligence Institute +1

  8. λλ-JEPA Spectral Anti-Collapse Regularization for Self-Supervised Learning

    Sep 28, 2026Berker Demirel, Clémentine Dominé, Valentino Maiorca +3Self-Supervised LearningRegularization

    Institute of Science and Technology Austria (ISTA) Am Campus 1, 3400 Klosterneuburg, Austria

  9. Harmonizing Spectral Evolution in Conditional Flow Matching for TTS

    Sep 28, 2026Isha Pandey, Varad Deshpande, Abhijat Bharadwaj +1Flow-Matching Text-To-SpeechSpeaker Similarity

    Indian Institute of Technology Bombay

  10. Residual-Stream Burden Shapes Representation Learning in Diffusion Transformers

    Sep 27, 2026Tongtong Liang, Siqi Kou, Ziqiao Xi +6Diffusion TransformersTransformer Residual Streams

    UC San Diego · Shanghai Jiao Tong University · Aether AI

  11. Multi-Aperture PPG with MAPIS: Spatial Optical and Temporal Coherence Fields

    Sep 27, 2026Shuguang Wang, Yuanjing WangRemote PhotoplethysmographySpatial Coherence

  12. TNF based Spectral Embedding for Effective Application of Supervised Machine Learning Techniques in Automobile Insurance Fraud Detection

    Sep 27, 2026Rohan Yashraj Gupta, Lalith Srikanth Chintalapati, Satya Sai Mudigonda +2Fraud DetectionRandom Forest

    Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Vidyagiri, Puttaparthi, Andhra Pradesh, India.

  13. Tensor Decomposition of Transformer Key-Value Caches: Spectral Structure and Format Comparison

    Sep 23, 2026Rahul Krishnan, Volker SchulzKey-Value Cache CompressionTensor Decomposition

    Universität Trier · Fachbereich IV, Mathematik, Universität Trier

  14. Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation

    Sep 23, 2026Yi-Hui Shen, Tie-Qiang Li3D Medical Image SegmentationU-Net

    School of Arts and Sciences, Fujian Medical University, Fuzhou, China · School of Medical Imaging, Fujian Medical University, Fuzhou, China · Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden +2

  15. Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics

    Sep 14, 2026Zongmin LiuLong-Tailed DistributionSpectral

    Stanford University

  16. Spectral Consistency-Guided Multiview Point Cloud Registration for Low-Overlap Scenes

    Sep 14, 2026Tianyu Li, Yanghong Lin, Shudong Zhou +4Point Cloud RegistrationCategory-Level Object Pose Estimation

    School of Resources and Environmental Sciences, Wuhan University, Wuhan, China · Spatial Intelligence and Urban Computing, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China · State Key Lab for Ecological Security of Regions and Cities, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China

  17. Quantifying Spectral Differences in Vehicle Kinematics Between Production Autonomous and Human-Driven Vehicles Across Driving Scenarios

    Sep 11, 2026Peiyi Fang, Xiangyu Li, Yonglin Weng +1Dynamic Driving ScenesTraffic

    The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China

  18. Learning structural balance of graphs from quantum spectral features

    Sep 11, 2026Stefano Scali, Oleksandr KyriienkoGraph Edge SparsificationQubit

    Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, UK · School of Mathematical and Physical Sciences, University of Sheffield, Sheffield S10 2TN, UK

  19. Predicting Privacy Leakage from Weight Spectral Density

    Sep 10, 2026Richard J. Preen, Jim SmithMembership Inference AttacksPrivacy

    Department of Computer Science and Creative Technologies University of the West of England Bristol, UK BS16 1QY

  20. Temporal State Transport in Video Generation: Diagnosing and Correcting Spectral Imbalance

    Sep 8, 2026Luyao Tang, Bingjun Luo, Dong Yi +5Video GenerationSpectral

    The University of Hong Kong, Hong Kong SAR, China · Tsinghua University, Beijing, China · Harbin Engineering University, Harbin, China +2

  21. Spectral characteristics of autoencoder parameters as a vector representation of data

    Sep 3, 2026Maria Nikitina, Anton Bishuk, Oleg BakhteevAutoencoder ArchitecturesMnist

  22. Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation

    Sep 1, 2026Lucas Cunha, Lucas Sotomaior, Lucas Gasperin +3Face Forgery DetectionVisual Degradation

    Pontifical Catholic University of Paraná, Curitiba, Brazil

  23. MADS: A Multiview Acoustic Descriptor Set Beyond Standard Spectral Summaries

    Sep 1, 2026Utsab Ghosh, Roshni ChakrabortyNeural AudioMusic Structure Analysis

    ABV-Indian Institute of Information Technology and Management, Gwalior, India.

  24. Forbid Your Attention: Fooling Multimodal Large Language Models by Selectively Removing Intrinsic Focus in Spectral Domain

    Sep 1, 2026Daizong Liu, Junhao Dong, Zhiyuan Ma +6Multimodal Large Language ModelsCross-Modal Attention

    Institute for Math & AI, Wuhan University, Wuhan, 430072, China · College of Computing and Data Science, Nanyang Technological University, Singapore · School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China +3

  25. Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of Feature-Parameterized Inverse Optimal Transport via a Single Spectral Sandwich

    Aug 13, 2026Han Dong, Jiaming Li, Yongqiang Gong +2Optimal Transport ApproachProximal Operators

    School of Medicine, Nankai University · College of Artificial Intelligence, Nankai University

  26. HybridSB-MoE: Dual-Domain Schrödinger Bridges with Scene-Adaptive Expert Routing for Speech Enhancement

    Aug 13, 2026Zhengyi Lu, Aswini Sivakumar, Jie Hu +1Speech EnhancementSchrödinger Bridges

    Department of Computer Science and Engineering, Oakland University, Rochester, MI 48309

  27. ββ-VAEs as Effective Theories: Tolerance-Dependent Dimension

    Aug 11, 2026Johannes HirnRepresentation CollapseNonlinearity

    Image Processing Laboratory (IPL), Universitat de València, Paterna, València 46980, Spain

  28. When does training on downscaled images yield the same gradients?

    Aug 5, 2026Seunghyun JiDiffusion TransformersGradient

    Independent researcher

  29. Joint Affine Spectral Shaping: Coupling Weight and Bias Updates Beyond Weight-Only Muon

    Aug 4, 2026Gongyue Zhang, Honghai LiuAffineMuon

    State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, Shenzhen, 518055, China.

  30. RamanPFN: learning from Raman spectral structure with a tabular foundation model

    Aug 3, 2026Xingyu Pan, Huan Wang, Jinjia Guo +3RamanSpectral

    Beihang University · Cleer Science

  31. HAFI-VLM: A Frequency Perspective for Diagnosing and Enhancing Visual Perception in Vision-Language Models

    Aug 3, 2026Jin Cui, Chuanchang Su, Jiayi Lu +3Ava-VlmVision Encoders

    1State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University · School of Computer Science and Technology, Xi’an Jiaotong University · School of Software Engineering, Xi’an Jiaotong University

  32. Understanding and Correcting Low-Frequency Bias in EEG Foundation Model

    Aug 3, 2026Junjie Yu, Zihan Deng, Jianyu Zhang +8Electroencephalography Foundation ModelsElectroencephalography

    Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China · Omni-Intelligence, Shenzhen, China · College of Design and Engineering, National University of Singapore, Singapore +4

  33. Statistical comparisons of time-series feature sets on classification tasks

    Aug 3, 2026Trent Henderson, Ben D. FulcherTime-Series ClassificationTime Series

    Dynamics and Neural Systems Lab, The University of Sydney, Camperdown, 2006, NSW, Australia.

  34. AnyBand: Unified Multi-Bandwidth Speech Extension via Frequency-Aware In-Context Spectral Infilling

    Aug 1, 2026Junchuan Zhao, Minh Duc Vu, Bowen Zhang +1Speech EnhancementBandwidth Extension

    School of Computing, National University of Singapore · Department of Statistics & Data Science, National University of Singapore · College of Computing and Data Science, Nanyang Technological University

  35. LegoQ: Density-Matrix Representation Learning with Spectral-Spatial State Transitions for Hyperspectral Classification

    Jul 31, 2026Weijia Cao, Xiaofei Yang, Fu Wang +2Hyperspectral ImageImage Classification

  36. Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators

    Jul 30, 2026Yan KongTemporal Graph Neural NetworksSpectral Filtering

    Nanjing University of Information Science and Technology, China

  37. SpecCal: Ambiguity-Aware Candidate Calibration for Infrared Spectrum-Based Molecular Structure Reconstruction

    Jul 30, 2026Yixuan Chen, Bo Liu, Yusen Tan +3MoleculesMoleculenet

    College of Computer Science and Technology, Jilin University · School of Mathematics, Jilin University · Information Hub, HKUST(GZ) +3

  38. FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring

    Jul 29, 2026Jiatong Li, Leo Liang, Linghe Kong +1Autoregressive Video Diffusion ModelsAutoregressive Video Generation

    Shanghai Jiao Tong University · Tencent HY Team

  39. Sharpness-Aware Minimization and Muon: Robustness under the Spectral Norm

    Jul 28, 2026Wenzhi Zhong, Edward Milsom, Michael MurraySharpness-Aware MinimizationRegularization

    Department of Mathematical Sciences University of Bath · Department of Computer Science University of Bath

  40. The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning

    Jul 26, 2026Peng XieModel Fine-TuningLayer-Wise

    Technical University of Munich, Campus Heilbronn

  41. Hybrid Semantic and Spectral Ensemble for Robust Synthetic Image Source Attribution

    Jul 24, 2026Md. Ajwad HossainSynthetic Image DetectionDeep Semantic Representations

    Chittagong University of Engineering and Technology Chittagong, Bangladesh

  42. Spectral Dynamics of Semantic Drift in Clinical Multi-Agent Language Model Networks

    Jul 23, 2026Amritesh BanerjeeMulti-Agent Large Language Model SystemsDiagnosis

    University of Massachusetts Amherst, USA

  43. Detecting Neural Network Failures through Spectral Analysis of Internal Activations

    Jul 22, 2026Arunan JSpectralModel Activations

    Independent Researcher

  44. An Isotropy-Preserving Spectral Cap for Muon: Theory and Three Case Studies

    Jul 22, 2026Jiachun LiMuonSpectral

  45. ISO: An RLVR-Native Optimization Stack

    Jul 21, 2026Hanqing Zhu, Wenyan Cong, Zhizhou Sha +8Reinforcement Learning With Verifiable RewardVerifiable Rewards

    The University of Texas at Austin · UIUC · Emory University +3

  46. Dense-Sparse Dynamic Time Warping for Customizing Piano Concerto Accompaniments

    Jul 20, 2026TJ Tsai, Kavi Dey, Yigitcan Ozer +1AccompanimentInstrument

    Harvey Mudd College · Claremont, CA USA · International Audio Laboratories +1

  47. De-floored Principal Component Regression: When Rank Selection Alone Is Insufficient for Prediction

    Jul 18, 2026Peng ZhaoPrincipal Component AnalysisKernel Ridge Regression

    Department of Applied Economics and Statistics, University of Delaware

  48. DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification

    Jul 16, 2026Pengkun Wang, Weijia Cao, Ning Wang +1Hyperspectral ImageImage Classification

    National Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China · Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China · Guangzhou University, Guangzhou 510006, China

  49. Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs

    Jul 15, 2026Manuel Fernandez, Yizhe ZhuInhomogeneous Random GraphsDiscriminative Congruence Transform

    Department of Mathematics, University of Southern California

  50. Transforming Rank: How Architecture Navigates the Spectral Pathologies of Depth

    Jul 15, 2026Katie EverettDeep NetworkLow-Rank Structure

    MIT CSAIL

  51. The Geometry of Memorization: Finite-Time Spectral Sensitivity as a Diagnostic for Flow Matching Models

    Jul 14, 2026Shuchan WangMemorizationSpectral

  52. The Spectral Structure of Latent Treatment Effects

    Jul 12, 2026Hamza Virk, Bijan Mazaheri, Yihren WuHeterogeneous Treatment EffectsLatent Confounders

    1Dartmouth College · 2Broad Institute of MIT and Harvard · 3Hofstra University

  53. Spectral Origins of the Self-Correction Blind Spot in Autoregressive Generation

    Jul 9, 2026Ingrid Petrova, Luan VejsiuIterative Self-CorrectionAutoregressive Generation

    European University of Tirana

  54. Spectral Analysis of Dueling Q-Learning

    Jul 9, 2026Donghwan LeeQ-LearningDeep Q-Networks

    Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST) Daejeon 34141, South Korea

  55. Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

    Jul 7, 2026Shervin Khalafi, Igor Krawczuk, Sergio Rozada +3Interleaved Graph AttentionIterative Denoising Methods

    University of Pennsylvania · King Juan Carlos University · Stanford University

  56. Fingerprint, Not Blueprint: How Positional Schemes Set the Default Spectral Algebra of Attention

    Jul 7, 2026Li HengyuMulti-Head AttentionSpectral

    Institute for Solid State Physics, The University of Tokyo

  57. SleepBand: Single-Source Domain Generalization for Sleep Staging via Physiologically Structured Spectral Modeling

    Jul 6, 2026Zhi Lu, Yang Hu, Yan ChenSleepMultimodal Domain Generalization

    Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China · School of Cyber Science and Technology, University of Science and Technology of China, Hefei 230026, China

  58. Learning Spectral and Polarimetric Clues for One-to-Multimodal Novel View Synthesis

    Jul 2, 2026Federico Lincetto, Gianluca Agresti, Mattia Rossi +2Neural RenderingMultimodal Pretraining

    MEDIA Lab, University of Padova, Padova, Italy · Sony EUISPC, Sony Semiconductor Solutions Europe, Stuttgart, Germany

  59. Regularized Variational and Spectral Log-Density-Ratio Estimation in the Gaussian Location Model

    Jul 2, 2026Francis BachDensity Ratio EstimationCovariance

    SIERRA · Inria - Ecole Normale Sup´erieure PSL Research University

  60. Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness

    Jul 2, 2026Aria Masoomi, Mahsa Bazzaz, Adel Javanmard +1Chain-of-Thought ReasoningHard

    1Northeastern University · University of Southern California · 3Google Research