Latent Dynamics Modeling

Momentum

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

Jul 13Week of Sep 28

Latest papers 172

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  1. 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

  2. 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

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

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

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

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

  5. 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

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

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

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

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

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

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

  9. History-informed Lagrangian Neural Networks

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

  10. 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

  11. Path-dependent Discrete Amortized Inference

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

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

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

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

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

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

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

  15. 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

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

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

  17. DLAM: Distributional Latent Actions with Temporal Constraints

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

  18. 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

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

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

  20. Neural operator discovery from heterogeneous trajectories

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

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

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

  22. On the Identifiability of Controlled World Models

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

  23. 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

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

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

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

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