Predictive Representation Learning

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23 papers in the last four weeks, up 156% on the four weeks before. 0.2% of all new papers.

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  1. PAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policies

    Aug 31, 2026Botong Zhao, Fang Yu, Tim Yu +3Robot Policy LearningRobot Skill Learning

    Multi-Dimensional Information Processing Laboratory, East China Normal University · EBKernel · Shanghai Artificial Intelligence Laboratory

  2. Learning Representations through Token Prediction: Geometry, Approximation, and Downstream Guarantees

    Aug 30, 2026Shulei WangLanguage Model PretrainingNext-Token Prediction

    Department of Statistics, University of Illinois at Urbana-Champaign, 605 E. Springfield Ave., Champaign, IL 61820

  3. Orthogonal JEPA: Factorized Predictive States for Latent World Models

    Aug 20, 2026Taoyong Cui, Pheng Ann Heng, Wanli OuyangJoint-Embedding Predictive ArchitectureOrthogonal Representation Learning

    The Chinese University of Hong Kong (CUHK)

  4. Cluster Assignments in Soft Targets Shape Speech Representations: Evidence from S-JEPA

    Aug 19, 2026Wenxuan He, Yunpeng Li, Zewei Li +4Soft-Label LearningUnsupervised Clustering

    Department of Intelligent Science, School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China

  5. Predicting Functions, Not Features: KANs with Function-Space Joint-Embedding Predictive Learning for Medical Image Segmentation

    Aug 12, 2026Yungeng Liu, Xuanzi Fang, Yuge Zhang +3Joint-Embedding Predictive ArchitectureKolmogorov-Arnold Networks

    Harbin Institute of Technology,Shenzhen · The University of Hong Kong

  6. Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models

    Aug 12, 2026Myeong-Ju Cho, Hye-Bin Shin, Seo-Hyun Lee +1EEG DecodingPredictive Representation Learning

    Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea · Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea

  7. Capturing Uncertainty in Human Motion for Representation Learning in Soccer

    Aug 11, 2026Yizhou Xu, Lars Bretzner, Tiesheng Wang +1Self-Supervised Time Series Representation LearningSports Video Analysis

    KTH Royal Institute of Technology · EA Sports TRACAB

  8. From Objectives to What Models Learn: A Landau Theory of Invariant Learning

    Aug 10, 2026Pinli Wang, Yue He, Peng CuiPredictive Representation LearningInvariant Representation Learning

    Department of Physics, Tsinghua University, Beijing, China · Department of Computer Science and Technology, Tsinghua University, Beijing, China

  9. UniJEPA: A Unified Joint-Embedding Predictive Architecture for Task-Agnostic Visual World Modeling

    Aug 7, 2026An Lanji, Dawei Liu, Jin Li +3World Model LearningJoint-Embedding Predictive Architecture

    University of Electronic Science and Technology of China, Chengdu, China.

  10. CellWorld: From Gene-Level Reconstruction to Latent Cell Prediction in Spatial Transcriptomics Foundation Models

    Aug 7, 2026Haiping Liu, Qian Zhao, Lijing Lin +2Spatial TranscriptomicsSelf-Supervised Pre-Training

    University of Manchester

  11. Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control

    Aug 6, 2026Xinwei Liu, Junyuan Liang, Jianting Zhang +1Predictive Representation LearningContinuous Control

    Sun Yat-sen University · Purdue University

  12. BioM-JEPA: joint-embedding prediction of graph-connected gene blocks in single cells

    Aug 6, 2026Yuhao Wang, Zelin Zang, Yuxuan Liu +2Joint-Embedding Predictive ArchitecturePredictive Representation Learning

    Westlake University, Hangzhou, Zhejiang, China · Centre for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences (HKISI-CAS), Hong Kong SAR, China · State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China +1

  13. SR-JEPA: Learning Predictive Latent State in 3D Scenes

    Aug 6, 2026Zihan Zhou, Qifu Wen, Xi ZengJoint-Embedding Predictive ArchitectureObject-Centric Representation Learning

    Boston University, Boston, MA, USA · Shanghai Jiao Tong University, Shanghai, China

  14. Predict, Then Retrieve: Cross-Instance Future-State Retrieval from Video Prefixes

    Aug 5, 2026Quynh Vo, Thong Nguyen, Vinh-Hien Do +2Cross-Modal RetrievalVideo Prediction

    Centre for AI Research, VinUniversity · National University of Singapore

  15. NodeJEPA: Structure-Conditioned Latent Prediction for Node-Level Graph Self-Supervised Learning

    Aug 5, 2026Tinghe Zhang, Jian Xu, Jiaheng Chen +3Graph Representation LearningGraph SSL

    1Northeastern University

  16. SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors

    Aug 4, 2026Yongchao HuangLatent Dynamics ModelingJoint-Embedding Predictive Architecture

  17. EEG-JEPA: Structured Latent Prediction for EEG Foundation Models

    Jul 31, 2026Jinhao Li, Zhiyuan Ma, Xueqiao Han +8Self-Supervised Time Series Representation LearningJoint-Embedding Predictive Architecture

    Tsinghua Laboratory of Brain and Intelligence, Tsinghua University · School of Basic Medical Sciences, Tsinghua Medicine, Tsinghua University · School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University +2

  18. What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations

    Jul 29, 2026Kaizhen Tan, Xin Xu, Siru Tao +4Parameter IdentifiabilityPredictive Representation Learning

    New York University, New York, NY, USA · Carnegie Mellon University, Pittsburgh, PA, USA · Columbia University, New York, NY, USA

  19. Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control

    Jul 29, 2026Weili Zeng, Yitong Xing, Fulong Liu +10World ModelsEfficient VLA Model Inference

    Shanghai Jiao Tong University · Qilu University of Technology (Shandong Academy of Sciences)

  20. JEPADepth: Masked Predictive Representation Learning for Self-Supervised Monocular Depth Estimation

    Jul 29, 2026Ionuţ Grigore, Călin-Adrian PopaSelf-Supervised LearningMonocular Depth Estimation

    Politehnica University of Timis,oara, Romania

  21. Schrödinger's Cat: Probabilistic Representation and Prediction of Potential Scene Kinematics

    Jul 28, 2026Timy Phan, Jannik Wiese, Björn OmmerPredictive Representation LearningMotion Planning

  22. Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control

    Jul 28, 2026Jiaxin Bai, Jiaxuan XiongWorld Model-Based PlanningJoint-Embedding Predictive Architecture

    Hong Kong Baptist University Hong Kong, China

  23. The JEPA Paradox in Language: The Geometry of Linguistic Alternatives

    Jul 26, 2026Anh Trac Duc Dinh, Khang Nhat Hoang VoRepresentation CollapseMasked Language Modeling

    Center for AI Research (CAIR), VinUniversity, Hanoi, Vietnam · Faculty of Computer Science and Engineering Ho Chi Minh City University of Technology (HCMUT), VNU-HCM Ho Chi Minh City, Vietnam · Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, United Arab Emirates

  24. Anticipate Before Acting: Future-State-Conditioned Vision-Language Navigation

    Jul 20, 2026Lingfeng Zhang, Zhanguang Zhang, Liheng Ma +2Visual NavigationVision-Language Navigation

    Noah’s Ark Lab, 2012 Labs, Huawei · Department of Foundation model, 2012 Labs, Huawei

  25. Predictive Training with Latent Imagination for Visual Quadruped Navigation

    Jul 20, 2026Yancheng Zhu, Wanli Ma, Chen Han +3Robot NavigationRL for Legged Locomotion

    Anker Spatial Perception Lab

  26. ARIMA: Reconstruction-Grounded Predictive Representation Learning for Symbolic Music

    Jul 10, 2026Mingyang Yao, Zhaoxiang FengRepresentation LearningSelf-Supervised Learning

    University of California, San Diego

  27. JEPA for AI-Native 6G: Predictive Representations and Open Challenges

    Jul 9, 2026Sheikh Salman Hassan, Irshad A. Meer, Almoatssimbillah Saifaldawla +96G NetworksSelf-Supervised Pre-Training

    IDCoM, University of Edinburgh, Edinburgh EH9 3BF, UK · KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden · SnT, University of Luxembourg, L-1855 Luxembourg +6

  28. Applying JEPA-Style Predictive Learning to JA4-Derived Network Fingerprints

    Jul 9, 2026Javier Izquierdo, Aygul ZagidullinaJoint-Embedding Predictive ArchitecturePredictive Representation Learning

    Lucerne University of Applied Sciences and Arts (HSLU)

  29. The Rank-One Corner: How Much Value Equivalence Does a Task Need from a World Model?

    Jul 7, 2026Donna VakalisWorld Model LearningPredictive Representation Learning

    Mila – Quebec AI Institute Université de Montréal Montréal, Québec

  30. Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations

    Jul 6, 2026Dongmin Bang, Sugyun An, Inyoung Sung +3Cancer GenomicsHealthcare

    Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea · AIGENDRUG Co., Ltd., Seoul, Republic of Korea · BK21 FOUR Intelligence Computing, Seoul National University, Seoul, Republic of Korea +2