Latent Dynamics Modeling

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35 papers in the last four weeks, up 483% on the four weeks before. 0.3% of all new papers.

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  1. Learning PDE solution operators with variable initial conditions via Latent Dynamics Networks

    Oct 6, 2026Stefano Maria Pizzamiglio, Stefano Pagani, Francesco RegazzoniLatent Dynamics ModelingMeta-Learning

    MOX Laboratory, Department of Mathematics, Politecnico di Milano, Italy

  2. BeliefGraph-JEPA: Structured Latent World Models for Action-Conditioned Time Series

    Oct 4, 2026Yue Li, Kangqi Ni, Zhen Tan +1Multivariate Time Series ForecastingLatent Dynamics Modeling

    Carnegie Mellon University · University of North Carolina at Chapel Hill · Stevens Institute of Technology

  3. Discrete Action Matching: Learning Stochastic Dynamics from Samples via State Graphs

    Oct 4, 2026Mikhail Persiianov, Alexander KorotinLatent Dynamics ModelingOptimal Transport

    Applied AI Institute Moscow, Russia

  4. AI Emulation of Stochastic Sudden Stratospheric Warming with Interpretable Latent Structure

    Oct 1, 2026C. Daniel Boscu, Daniel Hernandez, Fabio Alvarez Ventura +4Dynamical SystemsSurrogate Modeling

    Department of Geophysical Sciences, University of Chicago, Chicago, 60637, IL · Data Science Institute, University of Chicago, Chicago, 60637, IL · Department of Applied Mathematics, University of California, Santa Cruz, Santa Cruz, 95064, CA +1

  5. Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems

    Oct 1, 2026Lulu Gong, Yongxu Zhang, Shreya SaxenaStochastic Linear Dynamical SystemsLatent Dynamics Modeling

    Center for Neurocomputation and Machine Intelligence, Wu Tsai Institute, Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA

  6. Langevin-Informed Transfer Learning: Replacing Target Samples by Black-Box Feedback

    Oct 1, 2026Vladimir R. Kostic, Karim Lounici, Hélène Halconruy +3Latent Dynamics ModelingTransfer Learning

    CSML, Istituto Italiano di Tecnologia · University of Novi Sad · CMAP-Ecole Polytechnique +5

  7. Learning Commute-Time-Preserving World Models for Planning

    Oct 1, 2026Michael Hauri, Peter Buttaroni, Fabian A. Mikulasch +1Representation LearningWorld Model Learning

    Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland · Faculty of Science, University of Basel, Switzerland

  8. Variational Streaming Flow: Probabilistic Forecasting in Physical Time

    Oct 1, 2026Hans Hao-Hsun Hsu, Minseon Gwak, Soon Hoe Lim +2Dynamical SystemsFlow Matching

    Georgia Institute of Technology · Lawrence Berkeley National Lab · International Computer Science Institute +2

  9. Where the Body Keeps the Beat: Structured Motion Conditioning and Music Dynamics Supervision for Dance-to-Music Generation

    Sep 30, 2026Changchang Sun, Lu Cheng, Yan YanFlow MatchingLatent Dynamics Modeling

    University of Illinois Chicago · Penn State University

  10. JEPA-TTT: Persistent Test-Time Training of Latent World Models for Planning under Dynamics Shifts

    Sep 30, 2026Zheyuan Zhang, Suyu Ye, Nakul Agarwal +5Test-Time AdaptationLatent Dynamics Modeling

    Honda Research Institute USA · Johns Hopkins University

  11. Learning Continuous Neural Representation of Stochastic Hybrid Systems

    Sep 30, 2026Sangli Teng, Hang Liu, Koushil SreenathDynamical SystemsStochastic Differential Equations

  12. Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance

    Sep 29, 2026Fabian A. Mikulasch, Friedemann ZenkeLatent Variable ModelsRepresentation Identifiability

    Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland · Faculty of Science, University of Basel, Switzerland

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

    Sep 29, 2026Ojas Shirekar, Yash Surange, Agustinas Jučas +1Latent Dynamics ModelingHuman Motion Generation

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

  14. Accelerated surrogate dynamics for dynamical, stochastic system evolution

    Sep 29, 2026Marco Jochum, Ioannis Kouroudis, Gohar Ali Siddiqui +3Neural Surrogate ModelingDynamical Systems

    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

  15. One-Step Next-Latent Prediction Is Not a World Model

    Sep 28, 2026Shitong Wang, Zhongang Cai, Yuzhou HongWorld Model LearningLatent Dynamics Modeling

  16. Statistical Learning of Contractive Dynamical Representations for Composite Adaptive Control

    Sep 28, 2026Min Kim, José Leonardo Brenes, Fred Hadaegh +1Representation LearningLatent Dynamics Modeling

    California Institute of Technology (Caltech), Pasadena, CA 91125 USA. · Jet Propulsion Laboratory (JPL), Pasadena, CA 91109 USA.

  17. Identifying Neural Source Dynamics from Unknown Local Interventions

    Sep 28, 2026Ayana Mussabayeva, Jiaqi Sun, Anuar Aimoldin +2Dynamical SystemsElectroencephalography

    Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE · Carnegie Mellon University (CMU), Pittsburgh, PA, USA

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

    Sep 28, 2026Zhentao Tan, Jianrong Zhang, Ruijie Quan +1Latent Dynamics ModelingJoint-Embedding Predictive Architecture

    Zhejiang University.

  19. DisKO: Deep Koopman Learning in Distribution Space from Unpaired Snapshots

    Sep 28, 2026He Ma, Xiaochen Liu, Wanfeng Lu +3Koopman Operator LearningLatent Dynamics Modeling

    School of Mathematical Sciences, Fudan University, China. · Research Institute of Intelligent Complex Systems, Fudan University, China. · Shanghai Center for Mathematical Sciences, Fudan University, China. +2

  20. Shaping Persistent Representations from Independent Interactions

    Sep 28, 2026Ji Dai, Quan Fang, Junyu Gao +4Representation LearningLatent Dynamics Modeling

    Beijing University of Posts and Telecommunications · Institute of Automation, Chinese Academy of Sciences · Shenzhen University +1

  21. Retracing Hodgkin and Huxley: State Recovery Does Not Certify Mechanism

    Sep 28, 2026Peiyu Zang, Jiayi Hao, Yongqiang CaiDynamical SystemsLatent Dynamics Modeling

    School of Mathematical Sciences, Beijing Normal University

  22. Beyond One-Step Accuracy: State-Affine Latent Transition for Reliable Visual Planning

    Sep 27, 2026Boyuan Zhang, Yingjun Du, Xiantong Zhen +1Dynamical SystemsLatent Dynamics Modeling

    UCAS-Terminus AI Lab, School of Engineering Science, University of Chinese Academy of Sciences · VIS Lab, University of Amsterdam · Central Research Institute, United Imaging Healthcare, Co., Ltd.

  23. Correct then Forecast: Observer State-Space Models for Time Series Forecasting

    Sep 27, 2026Alexis-Raja Brachet, Guillaume Clavier--Frémond, Abdelhakim Ziani +2Latent Dynamics ModelingTime Series Forecasting

    MICS, CentraleSup´elec, Universit´e Paris-Saclay, France · CentraleSup´elec, IETR UMR CNRS 6164, France · Universit`a di Torino, Torino, Italy.

  24. Identifying the Predictable Drift of a Semimartingale from Marginal Laws

    Sep 27, 2026Jakub Marecek, Enrico Biffis, Abigail Langbridge +1Latent Dynamics ModelingConstrained Optimization

    Department of Computer Science, Czech Technical University in Prague, Czechia · Department of Finance, Imperial College London, UK · Dyson School of Design Engineering, Imperial College London, UK

  25. KoopCell: Koopman-Based Generative Model for Learning Single-Cell Dynamics from Distribution Snapshots

    Sep 27, 2026Wanfeng Lu, Yutong Zhang, Keyi Zhou +3Koopman Operator LearningLatent Dynamics Modeling

    School of Mathematical Sciences, SCMS, SCAM, and CCSB, Fudan University, China · Research Institute of Intelligent Complex Systems, Fudan University, China · State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, China +1

  26. Adaptive Latent Capacity for World Models

    Sep 26, 2026Idan Achituve, Lior Dikstein, Idit Diamant +2World Model LearningLatent Dynamics Modeling

    Arm Research Israel

  27. 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 +5Neural Surrogate ModelingLatent Dynamics Modeling

    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

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

    Sep 23, 2026Alex Schutz, Nick Hawes, Victor-Alexandru DarvariuLatent Dynamics ModelingDynamic Graph Learning

    Oxford Robotics Institute University of Oxford

  29. Frozen Flows Forget: Diagnosing and Restoring Lost Motion in a Latent-flow World Model

    Sep 23, 2026Xiwen Chen, Rigaudiere Z. Li, Zhiruo Zhou +2World Model LearningLatent Dynamics Modeling

    Shenzhen International Graduate School, Tsinghua University · Shanghai Jiaotong University · Wuhan University of Technology

  30. Algebraic Consistency Alone Does Not Certify Temporal Structure in Latent Action Models

    Sep 20, 2026Di Wen, Ruodi Zhang, Kailun Yang +1Latent Action LearningLatent Dynamics Modeling

    Karlsruhe Institute of Technology, Karlsruhe 76131, Germany · Hunan University, Changsha 410012, China

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

    Sep 17, 2026Yi Zhu, Su Chen, Xiaojun LiNeural Surrogate ModelingLatent Dynamics Modeling

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

  32. Walking the Score Manifold: Continuous-time Generative Dynamics on Learned Data Manifolds

    Sep 15, 2026Jan Tauberschmidt, Brian B. Moser, Stanislav Frolov +3Dynamical SystemsLatent Dynamics Modeling

    DFKI Kaiserslautern · RPTU Kaiserslautern · Imperial College London

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

    Sep 15, 2026Junyi Liao, Johann Guilleminot, Vahid TarokhVariational AutoencodersLatent Dynamics Modeling

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

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

    Sep 14, 2026Dingjie Fu, Dianxing Shi, Yangyang Xu +1Latent Action LearningLatent Dynamics Modeling

    Harbin Institute of Technology (Shenzhen) · Beihang University

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

    Sep 9, 2026Andy Zeyi Liu, Haoran Sun, Lucas Baker +2World Models for RoboticsLatent Dynamics Modeling

    Yale University · Jump Trading · Brown University

  36. Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation

    Sep 9, 2026Hiroshi Tamano, Daichi MochihashiLatent Dynamics ModelingKnowledge Tracing

    the graduate university for advanced studies, sokendai · the institute of statistical mathematics

  37. Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains

    Aug 31, 2026Zi Wang, Minghui Xu, Tapan MukerjiGraph Neural NetworksNeural PDE Solvers

    Department of Energy Science and Engineering Stanford University Stanford, CA 94305

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

    Aug 29, 2026Yanchen Huo, Ziying Song, Yadan LuoFlow MatchingLatent Dynamics Modeling

    Nanyang Technological University · The University of Queensland

  39. LaGSplat: Inferring Physics-Governed Interactive Simulation from Monocular Video Using Latent Lagrangian Gaussian Splatting

    Aug 17, 2026Louen Pottier3D Gaussian SplattingLatent Dynamics Modeling

    Université Paris-Saclay, CEA, List, F-91120 Palaiseau, France

  40. History-informed Lagrangian Neural Networks

    Aug 13, 2026Tianshuo Zhang, Xianglei Xing, Wenzhe Zhai +2Latent Dynamics ModelingPhysics-Informed ML

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

  41. Learning How the World Evolves: Extrapolative Video World Models via Latent Dynamics Reasoning

    Aug 10, 2026Haodong Li, Shaoteng Liu, Tianyu Wang +7Physical Consistency in Video GenerationPhysical Reasoning

    1UCSD 2Adobe

  42. SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation

    Aug 10, 2026Jingkai Wang, Zihan Tang, Gu Zhang +7Latent Dynamics ModelingLanguage-Conditioned Robot Manipulation

    1Fudan University · 2Beijing Academy of Artificial Intelligence · 3Tsinghua University +1

  43. Path-dependent Discrete Amortized Inference

    Aug 9, 2026Tiago da Silva, Esmeralda S. Whitammer, Salem LahlouMarkov Decision ProcessesLatent Dynamics Modeling

    1MBZUAI · University of Edinburgh · 3CIFAR Fellow

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

    Aug 6, 2026Mohamed Ghanem, Bernd FinkbeinerLatent Dynamics ModelingRepresentation Learning for RL

    CISPA Helmholtz Center for Information Security · Technical University of Munich

  45. Quantum-Structured World Models (QSWMs) for Predictive Latent Dynamics

    Aug 5, 2026Hailong Jiang, Emran Hossain, Feng Yu +3Latent Dynamics ModelingQuantum-Inspired ML

    Youngstown State University, Youngstown, OH, USA · Kent State University · George Washington University

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

    Aug 5, 2026Mengzhou Gao, Huangqian Yu, Pengfei JiaoDynamical SystemsLong-Term Time Series Forecasting

    Hangzhou Dianzi University Hangzhou, China

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

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

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

    Aug 3, 2026Leyang Chen, Junyi Wu, Shaoqiu Zhang +1World Model LearningLatent Dynamics Modeling

    Shanghai Jiao Tong University

  49. The Label Defines the Timescale: Trait-State Limits of Temporal-Aggregate Learning

    Aug 3, 2026Xizhe ZhangLatent Dynamics ModelingState Tracking

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

    Jul 31, 2026Vakhtang PutkaradzeLatent Dynamics ModelingHamiltonian Neural Networks

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

  51. ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow

    Jul 30, 2026Dongxiu Liu, Haoyi Niu, Peng Cheng +5Robotic ControlLatent Dynamics Modeling

    Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China · 2Berkeley Artificial Intelligence Research (BAIR), University of California, Berkeley, CA, USA

  52. DLAM: Distributional Latent Actions with Temporal Constraints

    Jul 29, 2026Zuojin Tang, Feifan Luo, Haoyun Liu +10Latent Action LearningLatent Dynamics Modeling

    Zhejiang University · Nanjing University · Shanghai Jiaotong University +4

  53. 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 +1Variational AutoencodersLatent Dynamics Modeling

    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.

  54. Modeling Stylistic Co-evolution in Symbolic Music Heritage Collections

    Jul 27, 2026Yulong He, Ivan Smirnov, Yanming LiLatent Dynamics ModelingCultural Evolution

    St. Petersburg State University, St. Petersburg, Russia · ITMO University, St. Petersburg, Russia · St. Petersburg State Institute of Culture, St. Petersburg, Russia

  55. Neural operator discovery from heterogeneous trajectories

    Jul 25, 2026Zituo Chen, Qiaofeng Li, Jiaxin Hu +1Latent Dynamics ModelingNonlinear System Identification

    Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, 02139, MA, USA. · State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.

  56. Inverse Bayesian Inference for Extracting Lesion Dynamics from Longitudinal Spectral CT

    Jul 25, 2026Lukas Förner, Melina Wördehoff, Julian Steffens +6Latent Dynamics ModelingBayesian Inverse Problems

    Dept. of diagnostic and interventional Radiology and Neuroradiology, University Hospital Augsburg, Germany · Digital Medicine, University Hospital Augsburg, Germany · Chair for Computer-Aided Medical Procedures and Augmented Reality, Technical University of Munich, Germany +5

  57. On the Identifiability of Controlled World Models

    Jul 24, 2026Xiangteng Zhang, Yang Guan, Bo Zhang +3Parameter IdentifiabilityLatent Dynamics Modeling

    School of Vehicle and Mobility, Tsinghua University · 2Didi Voyager Labs, Didi Autonomous Driving · School of Computing and Data Science, The University of Hong Kong +2

  58. Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis

    Jul 24, 2026Laura M. Montaldo, Ricardo A. Borsoi, Sebastian Miron +1Latent Dynamics ModelingLow-Rank Matrix Decomposition

    CRAN, Université de Lorraine, CNRS, Vandoeuvre-l`es-Nancy, France. · Department of CSEE, University of Maryland Baltimore County, Baltimore, MD 21250, USA.

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

    Jul 22, 2026Jiaqi Li, Xinglong Zhang, Haibin Xie +3Koopman Operator LearningLatent Dynamics Modeling

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

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

    Jul 21, 2026Kavya Bhand, Aadi JoshiLatent Dynamics ModelingLatent World Models

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