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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. VTV-FM: Flow Matching through Variational Terminal-Velocity Closure

    Sep 30, 2026Haoyang Jiang, Yuheng Li, Di Yang +3Conditional Flow MatchingVariational

    Department of Data Science, William & Mary Williamsburg, VA 23185, USA

  2. LARC: Low-Rank Adaptive Residual Connections for Learning in Frozen Models

    Sep 30, 2026Junyi Zou, Avrova DonzResidual ConnectionsPhase Space

    MMLA-org · Communication University of China (CUC), No. 1 Dingfuzhuang East Street, Chaoyang District, Beijing 100024, China

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

    Sep 3, 2026Lidia J. Gomes Da SilvaGravitational WavesPhase Space

    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. QC-PHAST Search: Classical--Quantum Query Benchmarks for Finite-Pool Rare-Regime Discovery

    Jul 24, 2026Harsh Milind Tirhekar, Chandrajit BajajPhase SpaceSearch Algorithms

    Department of Computer Science College of Natural Sciences The University of Texas at Austin Austin, TX, USA · Department of Computer Science Oden Institute for Computational Engineering and Sciences The University of Texas at Austin Austin, TX, USA

  5. Cluster-Weighted EDMD

    Jul 14, 2026Lorenzo Tomaz, Judd Rosenblatt, Flavio Kicis +2Dynamic Mode DecompositionKoopman Operator

    AE Studio

  6. Generating Physically Plausible Parachute Dynamics with Deep Generative Modeling

    Jul 13, 2026Yulong Yang, Clara O'Farrell, Christine Allen-BlanchetteAerodynamicsPhase Space

    Mechanical and Aerospace Engineering, Engineering Quadrangle, Princeton, NJ 08544 · Group Supervisor, Dynamics, Modeling, Flight Mechanics & UQ, 4800 Oak Grove Dr, M/S 198-326, Pasadena, CA 91011, AIAA Member · Center for Statistics and Machine Learning, Engineering Quadrangle, Princeton, NJ 08544

  7. Kime-Representation Formulations of Three Open Problems in the Foundations of Classical Mechanics: Uncertainty, Invariant Entropy, and Directional Degrees of Freedom

    Jul 8, 2026Ivo D. DinovPhase SpaceHamiltonian

    Statistics Online Computational Resource (SOCR) University of Michigan, Ann Arbor, MI 48109, US∗

  8. Life as Plasmas: Autonomy and Interactivism in-materio

    Jul 3, 2026Nicolás Hinrichs, Mahault Albarracin, Felipe Engelberger +2Self-OrganizationLife

    Max Planck Institute for Human Cognitive and Brain Sciences, Germany · Eigenify, USA · Verses AI Research Lab / Universit´e du Qu´ebec `a Montr´eal, Canada +3

  9. Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination

    Jun 29, 2026Walther Litteri, Massimiliano VasileNear-Earth ObjectsNormalizing Flows

    Aerospace Centre of Excellence, University of Strathclyde, G11XQ Glasgow, UK · Aerospace Centre of Excellence, University of Strathclyde, G1 1XQ Glasgow, UK

  10. Neural Phase Correlation

    Jun 16, 2026Cole ReynoldsImage RegistrationDeformable Cnn

    Weyl Labs

  11. Neural Architectures as Functional Priors in Physics-Informed Control Problems

    Jun 11, 2026Sonia Rubio Herranz, Fernando Carlos López Hernández, Antonio López MontesLearning-Based ControlParametric Physics-Informed Neural Network

    Department of Statistics and Operations Research (EIO), Universidad Complutense de Madrid, 28040 Madrid, Spain · Department of Software Engineering and Artificial Intelligence, Universidad Complutense de Madrid, 28040 Madrid, Spain · Department of Analysis and Applied Mathematics, Universidad Complutense de Madrid, 28040 Madrid, Spain

  12. Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning

    Jun 8, 2026Chen-Rui Fan, Bo Lu, Xing-Yu Wu +2Hopfield NetworksPhase Space

    School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China · Laboratory for Advanced Computing and Intelligence Engineering, Information Engineering University, Zhengzhou 450001, China · School of Physical Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

  13. Unified Geometry-Guided ML-FTLE for Tracking Transient Chaos from Scalar Time Series

    Jun 5, 2026S. V. Manivelan, Andrei Velichko, I. ManimehanChaosChange-Point Detection

    Department of Physics, M. R. Government Arts College (Affiliated to Bharathidasan University, Tiruchirappalli), Mannargudi, 614 001, Tamilnadu, India. · Institute of Physics and Technology, Petrozavodsk State University, Petrozavodsk, 185910, Russia.

  14. Watch your neighbors: Training statistically accurate chaotic systems with local phase space information

    May 14, 2026Joon-Hyuk Ko, Andrus Giraldo, Deok-Sun LeeChaosSurrogate Models

    Center for AI and Natural Sciences Korea Institute for Advanced Study Seoul, Korea 02455 · School of Computational Sciences Korea Institute for Advanced Study Seoul, Korea 02455

  15. Provable imitation learning for control of instability in partially-observed Vlasov--Poisson equations

    May 6, 2026Xiaofan Xia, Qin Li, Wenlong MouTemporally Coherent Imitation LearningPhase Space

    Department of Statistical Sciences, University of Toronto† · Department of Mathematics, University of Wisconsin–Madison⋄

  16. Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data

    Apr 27, 2026K. Michael Martini, Eslam Abdelaleem, Paarth Gulati +1Phase SpaceHigh-Dimensional

    Department of Physics, Emory University, Atlanta, GA, USA · Schools of Physics and Psychology, Georgia Institute of Technology, Atlanta, GA, USA · Initiative in Theory and Modeling of Living Systems, Emory University, Atlanta, GA, USA +1

  17. Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC Detector

    Apr 17, 2026Cristiano Fanelli, James Giroux, Cole Granger +1Wireless Foundation ModelsMixture-Of-Experts Architectures

    William & Mary, Department of Data Science, Williamsburg, VA 23185, USA · William & Mary, Department of Physics, Williamsburg, VA 23185, USA

  18. Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation

    Apr 9, 2026Andrew Qing He, Wei Cai, Sihong ShaoPhase SpaceQubit

    *Department of Mathematics, Southern Methodist University, Dallas, TX, USA. · †School of Mathematical Sciences, Peking University, Beijing, China.

  19. Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics

    Jan 29, 2026Winfried Ripken, Michael Plainer, Gregor Lied +5Invertible FlowsHamiltonian

    Technical University Berlin · BIFOLD · Free University of Berlin +6

  20. Forecasting Generative Amplification

    Sep 9, 2025Henning Bahl, Sascha Diefenbacher, Nina Elmer +2Monte CarloModel-Based Bootstrap

    Institut für Theoretische Physik, Universität Heidelberg, Germany · Physics Division, Lawrence Berkeley National Laboratory, Berkeley, USA · Interdisciplinary Center for Scientific Computing (IWR), Universität Heidelberg, Germany

  21. Classifier-pruned Bayesian optimization for particle accelerator tuning: Exploring temporally structured manifold of 6D beam phase space

    Dec 2, 2024Mahindra Rautela, Alan Williams, Alexander ScheinkerBayesian OptimizationPhase Space

    Los Alamos National Laboratory NM, United States