Hamiltonian Neural Networks

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2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

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  1. Lagrangian--Hamiltonian Flows for Video Prediction and Image Generation: A Symplectic Perspective

    Sep 28, 2026Jiawei HuImage GenerationHamiltonian Neural Networks

    Department of Mathematics and Statistics, Boston University

  2. Continuous Learning of Gravity Field Irregularities Around Small Bodies via Neural Hamiltonian ODEs

    Sep 14, 2026Giacomo Acciarini, Dario IzzoDynamical SystemsHamiltonian Neural Networks

    Advanced Concepts Team, European Space Agency, ESTEC, Noordwijk, The Netherlands

  3. Introducing SINFONIA: Symplectic, slimplectic and Magnusian (Neural) Flows for Orbital Numerical Integration and Acceleration

    Sep 3, 2026Lidia J. Gomes Da SilvaDynamical SystemsGravitational-Wave Astronomy

    SISSA, Via Bonomea 265, 34136 Trieste, Italy and INFN Sezione di Trieste · INFN Sezione di Trieste · IFPU - Institute for Fundamental Physics of the Universe, Via Beirut 2, 34014 Trieste, Italy

  4. Latent unified smooth Hamiltonians for excited state chemistry

    Sep 1, 2026David Juergens, Martin Stöhr, Andreas E. Hillers-Bendtsen +2Implicit Neural RepresentationsQuantum Chemistry

    Department of Chemistry and The PULSE Institute, Stanford University, Stanford 4305, California, USA · SLAC National Accelerator Laboratory, Menlo Park, 94025, California, USA

  5. A matched-integrator evaluation of Hamiltonian neural networks on pendulum and Kepler dynamics

    Aug 10, 2026Lenick Kemunto Nyabuto, Yae Ulrich Gaba, Birahim TeweDynamical SystemsHamiltonian Neural Networks

    African Institute for Mathematical Sciences (AIMS) Senegal

  6. Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks

    Jul 31, 2026Jaesung ChoiNeural Surrogate ModelingDynamical Systems

    Center for Artificial Intelligence and Natural Sciences, Korea Institute for Advanced Study, Seoul 02455, Korea

  7. 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

  8. Quantum Port-Hamiltonian Neural Networks: Learning Conservative and Dissipative Dynamics via Measurement-Induced Nonlinearity

    Jul 14, 2026Dibakar SigdelHamiltonian Neural NetworksPort-Hamiltonian Systems

    1Mindverse Computing LLC, Lynnwood, WA 98087

  9. The Equilibrium Is the Initialization: Lazy Identity Collapse in Physics-Structured Deep Equilibrium Reasoning

    Jul 13, 2026Joyjeet SinghDynamical SystemsHamiltonian Neural Networks

    Independent Researcher

  10. Unlocking Temporal Generalization in Hamiltonian Video Dynamics Models

    Jul 8, 2026Eli Laird, Corey ClarkPhysical Consistency in Video GenerationLatent Dynamics Modeling

    Department of Computer Science, Southern Methodist University, Dallas, TX, USA

  11. Symplectic Neural Networks for learning Generalized Hamiltonians

    Jun 25, 2026Harsh Choudhary, Vyacheslav Kungurtsev, Chandan Gupta +2Dynamical SystemsHamiltonian Neural Networks

    Computer Science Department, Indraprasth Institute of Information Technology, New Delhi, India 110020 · Athena Research and Innovation Center, Marousi, Greece 15125 · HSBC Holdings, Singapore

  12. Learning partially observed systems with neural Hamiltonian ordinary differential equations

    May 22, 2026Sunniva Meltzer, Sølve Eidnes, Alexander Johannes StasikDynamical SystemsLatent Dynamics Modeling

    Department of Mathematics and Cybernetics, SINTEF Digital, Norway · Department of Physics, University of Oslo, Norway · Department of Data Science, Norwegian University of Life Science, Norway

  13. Equilibrium Propagation and Hamiltonian Inference in the Diffusive Fitzhugh-Nagumo Model

    May 20, 2026Jack KendallEquilibrium PropagationDynamical Systems

    Zyphra · San Francisco, CA

  14. Identifying the nonlinear string dynamics with port-Hamiltonian neural networks

    May 12, 2026Maximino Linares, Guillaume Doras, Thomas HélieDynamical SystemsNonlinear System Identification

    1IRCAM, 1, place Igor-Stravinsky, 75004, Paris, France · 2Sorbonne Université, 4, place Jussieu, 75005, Paris, France · 3CNRS, 3 rue Michel-Ange, 75016, Paris, France

  15. HaM-World: Soft-Hamiltonian World Models with Selective Memory for Planning

    May 7, 2026Haoyun Tang, Haodong Cui, Keyao Xu +2World Model LearningLatent Dynamics Modeling

    1Xi’an Jiaotong University · 2Huazhong University of Science and Technology · 3Nankai University +1

  16. Machine Learning Hamiltonian Dynamical Systems with Sparse and Noisy Data

    Apr 19, 2026Vedanta Thapar, Abhinav GuptaNonlinear System IdentificationRecurrent Neural Networks

    The Mathematical Institute, University of Oxford, Oxford OX2 6GG, United Kingdom · Center for Theoretical Physics, St. Stephen’s College, University of Delhi, Delhi 110007, India

  17. Neural non-canonical Hamiltonian dynamics for long-time simulations

    Oct 2, 2025Clémentine Courtès, Emmanuel Franck, Michael Kraus +2Dynamical SystemsNonlinear System Identification

    IRMA, MACARON · Institut de Recherche Mathématique Avancée, UMR 7501 Université de Strasbourg et CNRS, 7 rue René Descartes 672000 Strasbourg, France. · INRIA Nancy-Grand Est, MACARON Project, Strasbourg, France. +5