Representation Space

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18 papers in the last four weeks, up 125% on the four weeks before. 0.2% of all new papers.

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  1. Signal-Noise Factorization Isolates Nuisance Variation into Removable Subspaces

    Sep 30, 2026Sakin Kirti, Joel ZylberbergRegularizationSubspace

    Bioinformatics IDP, Jules Stein Eye Institute University of California, Los Angeles Los Angeles, CA 90095, USA · Jules Stein Eye Institute University of California, Los Angeles Los Angeles, CA, 90095, USA

  2. Group-Invariant Statistics Determine Embedding Geometry: Harmonic Analysis of Representations from Bach to the Night Sky

    Sep 30, 2026Liam Storan, Andreas Tolias, Nina MiolaneRepresentation SpaceSymmetry

    Stanford University · University of California, Santa Barbara

  3. Spherical Interpolation for Backward-Compatible Multimodal Representations

    Sep 30, 2026Simone Ricci, Niccolò Biondi, Federico PerniciMultimodal RepresentationsCross-Modal

    DINFO (Department of Information Engineering), University of Florence, Italy · MICC (Media Integration and Communication Center) · University of Trento, Italy

  4. Anisotropic Representations Improve Planning in JEPA World Models

    Sep 29, 2026Mingu Kang, Yoori Oh, Sookyung Kim +1Latent World ModelsLow-Latency Latent Planning

    Seoul National University · Ewha Womans University

  5. Fisher-IRG: Fisher-Induced Local Invariant Representation Geometry across Language and Vision Models

    Sep 29, 2026Abdullah All Tanvir, Xin ZhongSemantic GeometryRepresentation Space

    Department of Computer Science University of Nebraska Omaha, Omaha, NE, USA

  6. Hidden Activations are not Enough I: Knowledge Matrices as Higher Representations

    Sep 28, 2026Marco ArmentaRepresentation SpaceFeed-Forward

    Institut quantique, Université de Sherbrooke

  7. Multi-Marginal Inverse Optimal Transport for Contrastive Learning Via Explicit Anchor-Positive-Negative Coupling

    Sep 27, 2026Ngoc-Hai Nguyen, Thuan Nguyen, Prakash Ishwar +1Contrastive LearningOptimal Transport Approach

    Department of Electrical and Computer Engineering Tufts University · Department of Engineering, Engineering Technology East Tennessee State University · Department of Electrical and Computer Engineering Boston University

  8. The Linear Representation Hypothesis Needs a Group Action

    Sep 22, 2026Louie Hong Yao, Yuhao Li, Shengchao LiuRepresentation SpaceInterpretability

    The Chinese University of Hong Kong

  9. Graded Representation Theory of Equivariant Neural Networks

    Sep 22, 2026Mani ShayestehfarEquivariant Neural NetworksEquivariance

  10. Displacement Geometry Captures Platonic Shared Reality Across Models and Modalities

    Sep 21, 2026Chenming Shang, Yujin Tang, Jun Jie Ou Yang +3Representation SpaceModalities

    Department of Computer Science, DARTMOUTH COLLEGE

  11. Exact semantic readout from compressed vector representations

    Sep 16, 2026Daniel QuigleyContextual EmbeddingsReadout

    Center for Possible Minds Indiana University Bloomington Bloomington, IN 47408

  12. Attention Mean Fields Predict Average Representation Dynamics and Reveal Context-Specific Computation

    Sep 14, 2026Micah Adler, John W. Byers, Mark CrovellaLanguage ModelingMean-Field Limit

    Department of Computer Science, Boston University · Faculty of Computing & Data Sciences, Boston University

  13. Disentangling Representation Evolution in Transformers through Directional Decomposition

    Sep 14, 2026Shwai He, Haichao Zhang, Shen YanTransformer ArchitecturesRepresentation Space

    University of Maryland, College Park · Northeastern University · ByteDance

  14. SL(n)\mathbb{SL}(n) Representation Learning: An Intrinsic Mixed-Curvature Space with Higher Curvature Capacities and Deeper Order-Aware Composition

    Sep 14, 2026Xingrun Li, Yusuke Mukuta, Xin Yang +2Representation SpaceHyperbolic Learning

    The University of Tokyo · Stanford University

  15. The Rank the Task Demands: A Causal Rank Law for Matrix Memories Trained on Group Composition

    Sep 14, 2026Samuel LarsonRepresentation SpaceBottlenecks

    Pebble ML

  16. Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations

    Sep 12, 2026Heinrich Jiang, Hager Yasser Mohamed, Alexander Hitt +3Representation SpaceBoundaries

    StoryGold AI

  17. Reference-Based Bias Detection in LLMs via Relative Representations of Hidden States

    Sep 9, 2026Marek Jeliński, Jan Dubiński, Maciej Chrabaszcz +1Large Language Model BiasModel Auditing

    NASK - National Research Institute, Poland · Warsaw University of Technology, Poland · Gda´nsk University of Technology, Poland

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

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

    Computer Science, The Hebrew University of Jerusalem

  19. The Impact of Synthetic Data Augmentation on Discourse-Pragmatic Function Classification

    Sep 3, 2026Sara Sorahi, Kevin Tang, Reza KazemianSynthetic Training DataData Augmentation

    Faculty of Arts and Humanities, Heinrich Heine University Düsseldorf · Institute of Linguistics · Department of English Language and Linguistics +2

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

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

  21. What is Smoothness?

    Sep 3, 2026Zachary P BradshawSmoothnessFinite Groups

    QodeX Quantum

  22. Looped Transformers under the Jacobian Lens: Does the Global Workspace Survive Recurrence?

    Sep 1, 2026Wenlong Wang, Fergal ReidRecurrenceTransformer Architectures

    Fin AI Research

  23. ClinTraceBench: Source-Verifiable Longitudinal Clinical Reasoning over EHR-Derived Dialogues

    Sep 1, 2026Huimin Wang, Zhengyi Zhao, Yutian ZhaoPatient TrajectoriesMimic-Iv Datasets

    Shenzhen University · The Chinese University of Hong Kong · Dealism

  24. Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures

    Sep 1, 2026Jaee Ponde, Roshni Agarwal, Subhashis BanerjeeSemantic RepresentationsConvolutional Neural Networks

    Truth Audit Labs · Karya AI · Department of Computer Science and the Centre of Digitalisation, AI, and Society, Ashoka University, Sonepat, Haryana, India

  25. Decodable but Not Accessible: Auditing Distance-Based Reliability Estimation on Disentangled Skin-Lesion Representations

    Aug 10, 2026Duc-Vinh TranRepresentation SpaceOrthogonality

    School of Information and Communication Technology, Hanoi University of Science and Technology, 1 Dai Co Viet Road, Hai Ba Trung, Hanoi 100000, Vietnam

  26. Imaginative Generative AI: Crossing the Entropy Wall into Worlds Beyond Imitation

    Aug 10, 2026Farzan Farnia, Hossein Goli, Amin GohariImaginationImitation

    Department of Computer Science and Engineering, The Chinese University of Hong Kong · Department of Information Engineering, The Chinese University of Hong Kong

  27. Focus particles and scalar inferences across humans and language models

    Aug 8, 2026Catherine M. Brousse, Nelu D. RadpourModel JudgmentsRepresentation Space

    Department of Psychology, Florida State University

  28. Revealed Rationality: Label-Free Evaluation and Regularization from Representation Theorems

    Aug 5, 2026Isaiah AndrewsRationalityArtificial Intelligence Alignment

    Department of Economics, Massachusetts Institute of Technology, and NBER

  29. Attention-based representations for multi-task computation

    Aug 4, 2026Daniel Hsu, Mingyue XuMulti-Head AttentionMulti--Task Learning

    Columbia University · Purdue University

  30. FunL2O: LLM-Guided Feature Function Design for Learning to Optimize

    Jul 29, 2026Bingheng Li, Junyang Cai, Yupeng Zhang +3Optimization ModelingEvolutionary Search

    Michigan State University · University of Southern California · University of Wisconsin–Madison +1

  31. Relation Geometry in Semantic Space of Language Models

    Jul 29, 2026Zhihan Cao, Hiroaki Yamada, Simone Teufel +4Semantic RelationshipsLanguage Modeling

    Graduate School of Information Science and Technology, The University of Tokyo · Faculty of Systems Design, Tokyo Metropolitan University · Department of Computer Science and Technology, University of Cambridge +5

  32. fSRD: Fuzzy Spectral Region Decomposition -- Automated Multi Operator Koopman Representations via an Adaptive Spectral Learning Architecture

    Jul 20, 2026Charles Bokor, Mark Cary, Denise Morrey +1Koopman OperatorSpectral Representation Method

    School of Engineering, Computing and Mathematics Oxford Brookes University Oxford OX33 1HX, UK · Department of Aeronautical and Automotive Engineering Loughborough University Loughborough LE11 3TU, UK

  33. Feedback Attribution and Representation Geometry: Metrics for Comparing Individual and Shared Rewards in MARL

    Jul 17, 2026Tasha Pais, Richard HigginsMulti-Agent Reinforcement LearningReward Signal

    Softmax, San Francisco, CA, USA.

  34. Muse: Representation Geometry of Muon Beyond Normalized Momentum

    Jul 16, 2026Da Chang, Qiankun Shi, Lvgang Zhang +4MuonRepresentation Space

    1Pengcheng Laboratory · 2Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences +3

  35. AspectCLIP: Optimizing CLIP Representation Space via Aspect-Guided Consistency Regularization

    Jul 15, 2026Yiyang Yao, Shanglin Liu, Jianming Lv +4Contrastive Language-Image Pre-Training ModelRegularization

    School of Computer Science and Technology, South China University of Technology, Guangzhou, China

  36. CatRetriever: Contrastive Representation Learning for Slab-to-Bulk Retrieval in Generative Catalyst Discovery

    Jul 13, 2026Jungho Oh, Woosung Kim, Dong Hyeon Mok +2Heterogeneous CatalysisRepresentation Space

    KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Republic of Korea · Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea · Department of Chemical and Biomolecular Engineering, Sogang University, Seoul 04107, Republic of Korea +5

  37. How to Tame Grokking: Representation Geometry as a Control Signal

    Jul 13, 2026Maksim A KazanskiiGrokkingNeural Network Representations

    Independent Researcher

  38. Kime-Representation Formulations of Three Open Problems in the Foundations of Classical Mechanics: Uncertainty, Invariant Entropy, and Directional Degrees of Freedom

    Jul 8, 2026Ivo D. DinovPhase SpaceHamiltonian

    Statistics Online Computational Resource (SOCR) University of Michigan, Ann Arbor, MI 48109, US∗

  39. Platonic Projection Structures: Operator-Induced Observability in Representation Learning

    Jul 6, 2026Kazuo Ishii, Bishnu Prasad Gautam, Jieling Wu +1Partial ObservabilityRepresentation Space

    Department of Applied Information Engineering, Faculty of Engineering, Suwa University of Science, Chino 391-0292, Nagano, Japan · Department of Information Engineering, Kanazawa Gakuin University, Kanazawa 920-1392, Ishikawa, Japan

  40. Quantum Kolmogorov--Arnold representation theorem for continuous unitary-valued maps

    Jul 3, 2026Sviatoslav V. DzhenzherKolmogorov-Arnold NetworksRepresentation Space

    Moscow Institute of Physics and Technology 141701, Institutskii per. 9, Dolgoprudny, Russia.

  41. Low-dimensional topology of deep neural networks

    Jun 30, 2026Junyu Ren, Lek-Heng LimFeed-ForwardNeural Network

    University of Chicago, Chicago, IL, USA.

  42. Scalar Representations of Neural Network Training Dynamics

    Jun 29, 2026Pedro Jiménez-González, Miguel C. Soriano, Lucas LacasaNeural DynamicsLyapunov Function

    Institute for Cross-Disciplinary Physics and Complex Systems (IFISC, CSIC-UIB), Campus UIB, 07122 Palma de Mallorca, Spain

  43. HybridCodec: Modeling Discrete and Continuous Representations for Efficient Speech Language Models

    Jun 26, 2026Artem Ploujnikov, Francesco Verdini, Samir Sadok +1Discrete Speech RepresentationsHybrid Transformer

    Mila, Quebec AI Institute, Canada · Concordia University, Canada · Sapienza University of Rome, Italy +1

  44. TACO: Towards Task-Consistent Open-Vocabulary Adaptation in Video Recognition

    Jun 24, 2026Minghao Zhu, Xiao Lin, Mengxian Hu +5Vision-Language Model AdaptationAi-Generated Video Detection

    Tongji University, Shanghai, China

  45. Semantic Allocation in Ordered Bottlenecks: Predictive Residual Inference for Visual Representation Learning

    Jun 23, 2026Erik Ayari, Manuel Traub, Martin V. ButzRepresentation LearningResidual Learning

    Neuro-Cognitive Modeling Group, University of Tübingen, Tübingen, Germany

  46. Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction

    Jun 19, 2026Efe Ilıcak, Baris Imre, Chloé Najac +4Magnetic Resonance Imaging ReconstructionDeep Unfolding Networks

    Department of Radiology, Leiden University Medical Center, Leiden, Netherlands

  47. Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach

    Jun 18, 2026Zhengyu Wu, Hongchao Qin, Xunkai Li +3Federated Graph LearningModalities

  48. Phenotyping TPF via Self-Supervised Learning: A Label-Agnostic Framework with Expert Validation

    Jun 15, 2026Miral Elnakib, Muhammad Saad, Ahmad Al-KabbanyMorphometric AnalysisSelf-Supervised Learning

    Faculty of Sciences Alexandria University · Multimedia Interaction and Communication Lab Wearables, Biosensing, and Biosignal Processing Research Lab Arab Academy for Science and Technology

  49. RepFusion: Leveraging Multimodal Priors for Denoising in Representation Space

    Jun 12, 2026Xichen Pan, Aashu Singh, Satya Narayan Shukla +3Diffusion TransformersText-To-Image

    Meta AI · New York University · Work done at Meta

  50. ContactWorld: What Representations Matter for Vision-Tactile Latent World Models in Contact-Rich Manipulation

    Jun 11, 2026Zhiyuan Zhang, Pokuang Zhou, Kaidi Zhang +7Tactile World ModelWorld Models

    Department of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA · Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA

  51. Agreement in Representation Space for Open-Ended Self-Consistency

    Jun 10, 2026Paula Ontalvilla, Gorka Azkune, Aitor OrmazabalSelf-ConsistencyLarge Language Model Generation

    HiTZ Center - Ixa, University of the Basque Country (UPV/EHU)

  52. A Stationary (and Therefore Compatible) Representation is All You Need

    Jun 10, 2026Niccolò Biondi, Federico Pernici, Simone Ricci +1Representation LearningRepresentation Space

    Media Integration and Communication Center (MICC), Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Firenze, 50139, Firenze, Italy

  53. Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles

    Jun 8, 2026Xiao Li, Yixuan Jia, Zekai Zhang +6Self-Supervised RepresentationsDiffusion Models

    University of Michigan · 1Ohio State University

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

    Jun 4, 2026Sophie ZhaoSemantic GeometryLanguage Modeling

    School of Computer Science Georgia Institute of Technology

  55. IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension

    Jun 2, 2026Julie Mordacq, Vicky Kalogeiton, Steve OudotSelf-Supervised RepresentationsIntrinsic Dimensionality

    Inria Saclay 2LIX, CNRS, École Polytechnique, IP Paris

  56. Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles

    Jun 2, 2026Li Sun, Zhenhao Huang, Yiding Wang +3Graph Foundation ModelWireless Foundation Models

    Beijing University of Posts and Telecommunications, Beijing, China · North China Electric Power University, Beijing, China · University of Cambridge, Cambridge, UK +1

  57. Planar Symmetric Pattern Generation

    Jun 1, 2026Ning Lin, Luxi Chen, Huaguan Chen +4SymmetryRepresentation Space

    Gaoling School of Artificial Intelligence, Renmin University of China.

  58. PHASOR: Phase-Anchored Universal Action Representations for Humanoid Embodiments

    Jun 1, 2026Kihyun Kim, Chaeyun Kim, Jongho Shin +4Cross-Embodiment TransferRobot Policies

    AIM Intelligence · Seoul National University · LG Electronics +2

  59. Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks

    May 29, 2026Ezekiel Williams, Alexandre Payeur, Guillaume LajoieRecurrent Neural NetworksLearning Dynamics

    Department of Mathematics and Statistics, Universit´e de Montr´eal, Canada · Mila Qu´ebec, Canada · Imperial College London, United Kingdom

  60. Reward Learning from Best-of-NN Preference Data: Targets, Tradeoffs, and Design Principles

    May 28, 2026Rattana Pukdee, Maria-Florina Balcan, Pradeep RavikumarBest-Of-NPreference Learning

    Machine Learning Department Carnegie Mellon University