Latent Dynamics

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Momentum

14 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Block Optimism for Nonstationary Bandits with Latent Linear Dynamics

    Oct 1, 2026Taehyun Hwang, Hyunjun Choi, Heesang Ann +1PessimismLatent Dynamics

    Seoul National University Soeul, South Korea

  2. Learning Continuous Neural Representation of Stochastic Hybrid Systems

    Sep 30, 2026Sangli Teng, Hang Liu, Koushil SreenathStochastic Differential EquationsLatent Dynamics

  3. Generative Interactions: Weaving Multiparty Human Motion with Bilevel Latent Dynamics

    Sep 29, 2026Ojas Shirekar, Yash Surange, Agustinas Jučas +1Interaction PredictionHuman Motion

    TU Delft Delft, The Netherlands · University of Oxford Oxford, UK

  4. Accelerated surrogate dynamics for dynamical, stochastic system evolution

    Sep 29, 2026Marco Jochum, Ioannis Kouroudis, Gohar Ali Siddiqui +3Stochastic DynamicsLatent Dynamics

    Chair of Simulation of Nanosystems for Energy Conversion, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Atomistic Modeling Center (AMC), Munich Data Science Institute (MDSI), Technical University of Munich, Hans-Piloty-Straße 1, 85748 Garching, Germany

  5. Bilinear World Models: Learning Representations with Structured Dynamics for Efficient Control

    Sep 28, 2026Antonio Pariente, Ignacio Boero, Nikolai Matni +1Latent DynamicsWorld Models

    University of Pennsylvania

  6. PDE-JEPA: Predictive Representation Learning of Latent Dynamics Modeling for Parametric PDEs

    Sep 28, 2026Zhentao Tan, Jianrong Zhang, Ruijie Quan +1Latent PredictionPartial Differential Equations

    Zhejiang University.

  7. Admissible Diffusion for Multimodal Interventional Trajectories

    Sep 28, 2026Xing Han, Shravan Chaudhari, Jiarui Shao +2Patient TrajectoriesLatent Dynamics

    Johns Hopkins University · Massachusetts Institute of Technology · Bayesian Health

  8. Devol-ONE: One Autoregressive Mixture of Transformers to Unify Vision-Language-Action and Latent World Modeling

    Sep 26, 2026Hongyi Cai, Yi Herng Ong, Tingshiuan C. Wu +4Diffusion-Based Vision-Language-ActionsLatent World Models

    Devol Robots, San Francisco, CA, United States

  9. Beyond Compression: Training Latent Representations for Stable Long-Horizon Rollout in Neural Surrogate Solvers

    Sep 24, 2026Andreas E. Robertson, Ashley T. Lenau, John D. Shimanek +5Latent DynamicsFuture Latent Representations

    Center for Integrated Nanotechnologies, Sandia National Laboratories, New Mexico, USA · Center for Computing Research, Sandia National Laboratories, Albuquerque, NM, USA · School of Engineering, Brown University, Providence, RI, USA +2

  10. Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies

    Sep 23, 2026Alex Schutz, Nick Hawes, Victor-Alexandru DarvariuLatent DynamicsTopology

    Oxford Robotics Institute University of Oxford

  11. Seismic Site Response Prediction from Sparse Observations Using Finite-Element-Pretrained Latent Dynamics

    Sep 17, 2026Yi Zhu, Su Chen, Xiaojun LiFull Waveform InversionFinite Element Method

    State Key Laboratory of Bridge Safety and Resilience, Beijing University of Technology Beijing 100124, China

  12. Stable by Construction: Variational Latent Markov Operators for Long-Horizon PDE Prediction

    Sep 15, 2026Junyi Liao, Johann Guilleminot, Vahid TarokhLong-Horizon ForecastingNeural Partial Differential Equation Solvers

    †Department of Electrical and Computer Engineering, Duke University · ‡Department of Mechanical Engineering and Materials Science, Duke University

  13. Reconstructing Is Not Acting: Action-Centric Latent Dynamics Modeling

    Sep 14, 2026Dingjie Fu, Dianxing Shi, Yangyang Xu +1Latent ActionsLatent Dynamics

    Harbin Institute of Technology (Shenzhen) · Beihang University

  14. Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization

    Sep 9, 2026Andy Zeyi Liu, Haoran Sun, Lucas Baker +2Joint-Embedding Predictive ArchitecturesS-Jepa

    Yale University · Jump Trading · Brown University

  15. Flow-JEPA: Robust Latent Dynamics for JEPA World Models via Flow Matching

    Aug 29, 2026Yanchen Huo, Ziying Song, Yadan LuoJoint-Embedding Predictive ArchitecturesLatent World Models

    Nanyang Technological University · The University of Queensland

  16. History-informed Lagrangian Neural Networks

    Aug 13, 2026Tianshuo Zhang, Xianglei Xing, Wenzhe Zhai +2Lagrangian MethodsParametric Physics-Informed Neural Network

    College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China

  17. Dueling World Models: Advantage-Style Action Channels for Common-Mode Distractor Rejection

    Aug 7, 2026Jiazhuo Li, Yiming Fei, Zhiruo Zhou +1World ModelsLatent Dynamics

    University of Michigan, Ann Arbor, MI, USA · Zhejiang University, Hangzhou, China · Wuhan University of Technology, Wuhan, China +1

  18. Flowing Through States: Neural ODE Regularization for Reinforcement Learning

    Aug 6, 2026Mohamed Ghanem, Bernd FinkbeinerNeural Ordinary Differential EquationsLatent Dynamics

    CISPA Helmholtz Center for Information Security · Technical University of Munich

  19. Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting

    Aug 5, 2026Mengzhou Gao, Huangqian Yu, Pengfei JiaoLong-Horizon ForecastingNonlinear Dynamics

    Hangzhou Dianzi University Hangzhou, China

  20. UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics

    Aug 4, 2026Carson J. Cook, Ahmed J. Zerouali, Anthony Schmidt +3Transition LearningLatent Variable

    Amplify Education, Inc.

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

    Aug 4, 2026Yongchao HuangJoint-Embedding Predictive ArchitecturesLatent Dynamics

  22. WorldDynCache: Risk-Controlled Latent Dynamics Approximation for Diffusion World Model

    Aug 3, 2026Leyang Chen, Junyi Wu, Shaoqiu Zhang +1Latent World ModelsLatent Dynamics

    Shanghai Jiao Tong University

  23. Latent Lie-Poisson Neural Networks (LLPNNs): Discovering the motion of Lie-Poisson systems through observable data and latent dynamics

    Jul 31, 2026Vakhtang PutkaradzeLatent DynamicsHamiltonian

    Department of Mathematics, The University of Alabama, Gordon Palmer Hall, Tuscaloosa, AL, 35401, USA

  24. Emergent Latent-State Computation under Stochastic Volatility

    Jul 28, 2026Xiaoyu Huang, Lulu WangLatent StatesIntermediate Latent States

    Department of Mathematics Temple University Philadelphia, PA, USA · Department of Data Analytics Dickinson College Carlisle, PA, USA

  25. The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows

    Jul 27, 2026Alberto Solera-Rico, Patricia García-Caspueñas, Carlos Sanmiguel Vila +1Reduced-Order ModelsLatent Dynamics

    Sub-directorate general of aeronautical systems, Spanish National Institute for Aerospace Technology (INTA), ctra. M-301, km. 10.5, 28330 San Mart´ın de la Vega, Madrid, Spain. · Departamento de Ingenier´ıa Aeroespacial, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Legan´es, Madrid, Spain. · Department of Mechanical Engineering, University of Washington, 1410 NE Campus Parkway, Seattle, WA 98195, USA.

  26. Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation

    Jul 25, 2026Yihao Wu, Chenyi Xu, Liqi Yan +6Vision-Language NavigationNavigation

    1Hangzhou Dianzi University · University of Zurich · University of Exeter

  27. Koopman Dreamer: Spectrally Constrained Latent Dynamics for Stable World-Model Imagination

    Jul 22, 2026Jiaqi Li, Xinglong Zhang, Haibin Xie +3Latent DynamicsDream

    College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China

  28. Multi-Horizon Consistency as Geometry: When Latent Dynamics Contract, and When They Do Not

    Jul 21, 2026Kavya Bhand, Aadi JoshiLatent DynamicsLong-Horizon Inference

    Department of Computer Engineering Vishwakarma Institute of Technology, Pune, India

  29. Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation Steering

    Jul 20, 2026Sheldon Yu, Tong Yu, Xunyi Jiang +6LLM Reasoning StrategiesLatent Dynamics

    UC San Diego · Adobe Research · University of New South Wales

  30. AeroMELD: A Linear Embedding of Aerosol Populations for Diagnostics and Latent Dynamics

    Jul 13, 2026Ehsan Saleh, Saba Ghaffari, Wenhan Tang +5Atmospheric DynamicsLatent Dynamics

    Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, Illinois, USA · National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, Illinois, USA · Now at Amazon, Sunnyvale, California, USA +3

  31. LIDAR-AD: A Decoder-Free Latent-Interaction Dreamer with Action-Residual Chains for Autonomous Driving

    Jul 12, 2026Yongzhi Liu, Yang Xiao, Zhong Cao +5Autonomous DrivingLow-Latency Latent Planning

    School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu 211189, China · Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA · Xheart Technology Co., Ltd., Suzhou, Jiangsu 215100, China

  32. Discovering Latent Response Laws in Forced Physical Systems

    Jul 9, 2026Yi Zhu, Su Chen, Xiaojun Li +1Latent DynamicsResponses

    State Key Laboratory of Bridge Safety and Resilience, Beijing University of Technology, Beijing, 100124, China

  33. Reduced-Order Models: The Mother of World Models

    Jul 3, 2026Rajat GhoshReduced-Order ModelsWorld Models

    Independent Researcher

  34. Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos

    Jul 1, 2026Jinwen Wang, Youfang Lin, Xiaobo Hu +2Latent MotionLatent Dynamics

    Beijing Jiaotong University, China · Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, China

  35. A Bayesian Filtering Approach for Learning Lagrangian Dynamics from Noisy Measurements

    Jun 30, 2026Kundan Kumar, Shreya Das, Simo SärkkäBayesian FilteringLagrangian Methods

  36. A Path-Space Formulation of Prediction in World Models: From a Single Action to Prediction, Planning, and Irreversibility

    Jun 27, 2026Gunn KimLatent World ModelsWorld Models

    Department of Physics, Sejong University, Seoul 05006, Republic of Korea

  37. Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts

    Jun 26, 2026Yuanyuan Wang, Wenjie Wang, Haoxuan Li +2IdentifiabilityLatent Dynamics

    Mohamed bin Zayed University of Artificial Intelligence · The University of Melbourne · Peking University +1

  38. USS: Unifying Spatial-Semantic Prompting for End to End Embodied Visual Tracking

    Jun 24, 2026Yuchen Xie, Xinyu Zhou, Kuangji Zuo +4Multi-Object TrackingLatent Dynamics

    Nanyang Technological University

  39. Learning the Koopman Operator using Attention Free Transformers

    Jun 22, 2026Mohammed Nagdi, Evangelos-Marios Nikolados, Alexey Yermakov +3Koopman OperatorLatent Dynamics

    Institute for Bioengineering, School of Engineering and Centre for Engineering Biology, University of Edinburgh, Edinburgh, United Kingdom · Electrical and Computer Engineering and Applied Mathematics, University of Washington, Seattle, WA, USA · Electrical and Computer Engineering and Computer Science & Engineering, University of Washington, Seattle, WA, USA

  40. SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors

    Jun 22, 2026Pratyaksh Rao, Wancong Zhang, Randall Balestriero +2QuadrotorSim-To-Real Reinforcement Learning

    University of California Berkeley, Department of Electrical Engineering and Computer Sciences, Berkeley, CA 94720, USA · New York University, New York, NY, USA · Brown University, Providence, RI, USA

  41. Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning

    Jun 18, 2026Hsiao-Ru Pan, Bernhard SchölkopfStep-Level Advantage EstimationLatent Dynamics

    Max Planck Institute for Intelligent Systems, Tübingen · ELLIS Institute Tübingen · ETH Zürich

  42. Bounded Difference Concentration for Infinitely Exchangeable Sequences with Applications to AI Benchmark Uncertainty

    Jun 16, 2026Fangyuan Lin, Spencer Frei, Victor H. de la PenaConcentration BoundsArtificial Intelligence Benchmarks

    Department of Statistics, Columbia University · Google DeepMind

  43. BRICKS-WM: Building Reusability via Interface Composition Kinetics for Structured World Models

    Jun 15, 2026Shaowei Zhang, Jiahan Cao, Xunlan Zhou +2World ModelsModel-Based Reinforcement Learning

    1National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · School of Intelligence Science and Technology, Nanjing University, China

  44. Closing the Approximation Gap in Simulation-free Latent SDEs

    Jun 15, 2026Henry D. Smith, Brian L. Trippe, Scott W. LindermanStochastic Differential EquationsVariational Inference

    Stanford University

  45. Physics-conforming Latent Twins

    Jun 13, 2026Matthias Chung, Yutong Bu, Deepanshu VermaSurrogate ModelsLatent Dynamics

    Department of Mathematics, Emory University, 400 Dowman Drive, Atlanta, 30322, GA, USA · School of Mathematical and Statistical Sciences, Clemson University, 220 Parkway Drive, Clemson, 29634, SC, USA

  46. Sensitivity Shaping for Latent Modeling

    Jun 12, 2026Hongzhan Yu, Chenghao Li, Ruipeng Zhang +2Latent DynamicsObstacle Avoidance

    University of California San Diego

  47. Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics

    Jun 12, 2026Jaeyeong Lee, Heeyoung KimSpatio-Temporal ForecastingBayesian Inference

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

  48. Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems

    Jun 12, 2026Ryogo Tanaka, Yoshinobu KawaharaLatent DynamicsRt-Detr

    Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan · Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan

  49. Extracting Governing Equations from Latent Dynamics via Multi-View Contrastive Learning

    Jun 11, 2026Paolo Muratore, Mackenzie Weygandt MathisLatent DynamicsNoisy Data

    EPFL

  50. Identifiability Without Gaussianity: Symbolic World Models and Near-Infinite Temporal Consistency

    Jun 9, 2026Seth Dobrin, Łukasz ChmielIdentifiabilityLatent Dynamics

    1ARYA Labs, PBC

  51. Mahalanobis-Guided Latent OOD Detection for Hybrid ES-DRL Control in Time-Varying Systems

    Jun 9, 2026Shaifalee Saxena, Alexander ScheinkerReinforcement Learning ControlTime-Varying Systems

    Los Alamos National Laboratory, Los Alamos, New Mexico, USA · University of New Mexico, New Mexico, USA

  52. Embedding Hybrid Systems into Continuous Latent Vector Fields

    Jun 9, 2026Sangli Teng, Hang Liu, Koushil SreenathNeural Ordinary Differential EquationsLatent Dynamics

    University of California, Berkeley, CA, USA · University of Michigan, Ann Arbor, MI, USA

  53. Machine Learning Methods for Studying Latent Neural Activity Dynamics

    Jun 9, 2026Shufeng Kong, Fumei Deng, Xinyi Dong +7Neural DynamicsNeural Recordings

    School of Software Engineering, Sun Yat-sen University, Zhuhai, China · School of Computer Science and Artificial Intelligence, Foshan University, Foshan, China · Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA +2

  54. Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search

    Jun 8, 2026Haolin Pan, Lianghong Huang, Xvlin Zhou +2PytorchLatent Dynamics

    Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China · Institute of Software, Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China

  55. OnlyDense: Reduced-Order Modeling for Lagrangian simulation

    Jun 8, 2026Tu Do, Shannon Ryan, Santu RanaReduced-Order ModelsLagrangian Methods

    A2I2, Deakin University, Geelong, Victoria, Australia

  56. Learning Control-Affine Reduced-Order Models via Autoencoders

    Jun 3, 2026Ali Mjalled, Martin MönnigmannReduced-Order ModelsRobust Control

    Automatic Control and Systems Theory Ruhr-Universität Bochum Universitätstraße 150, 44801, Bochum

  57. Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations

    Jun 1, 2026Deyu Zhuang, Peiliang Gong, Yang Shao +4Useful Life PredictionPredictive Maintenance

    Nanjing University of Aeronautics and Astronautics Nanjing, China · Nanyang Technological University Singapore · Singapore University of Technology and Design Singapore

  58. How Neural Losses Shape VAE Latents

    May 30, 2026Giorgio Strano, Luca Cerovaz, Michele Mancusi +2Conditional Variational AutoencoderRate-Distortion Theory

    1Sapienza University of Rome · 2Paradigma, Inc. · 3Moises Systems, Inc. +1

  59. Learning Permutation-invariant Macroscopic Dynamics

    May 29, 2026Zhichao Han, Mengyi Chen, Qianxiao LiParticle DynamicsLatent Dynamics

    Institute for Functional Intelligent Materials, National University of Singapore · Department of Mathematics, National University of Singapore

  60. When Should Models Change Their Minds? Contextual Belief Management in Large Language Models

    May 28, 2026Haoming Xu, Weihong Xu, Zongrui Li +6Latent Dynamics

    ♠Zhejiang University · ♣HomologyAI