Lattice Field Theory

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17 papers4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Machine learning for lattice QCD

    Nov 6, 2026Gurtej Kanwar, Scott Lawrence, Alessandro Nada +1Lattice Field TheoryHigh-Energy Physics

    Higgs Centre for Theoretical Physics, The University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, UK · Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA · Dipartimento di Fisica, Universit`a degli Studi di Torino and INFN, Sezione di Torino, Via Pietro Giuria 1, 10125 Turin, Italy +2

  2. Ergodic topology sampling toward the continuum with Stochastic Normalizing Flows

    Oct 14, 2026Claudio Bonanno, Andrea Bulgarelli, Elia Cellini +4Lattice Field TheoryHigh-Energy Physics

    Albert Einstein Center for Fundamental Physics, Institute for Theoretical Physics, University of Bern, Sidlerstraße 5, CH-3012 Bern, Switzerland · Transdisciplinary Research Area “Building Blocks of Matter and Fundamental Interactions” (TRA Matter) and Helmholtz Institute for Radiation and Nuclear Physics (HISKP), University of Bonn, Nussallee 14-16, 53115 Bonn, Germany · Higgs Centre for Theoretical Physics, School of Physics and Astronomy, The University of Edinburgh, Edinburgh EH9 3FD, United Kingdom +3

  3. Data Free Training of Diffusion Models for Lattice Field Theories

    Oct 13, 2026Dennis Grinwald, Ankur Singha, Khaled Kahouli +2Lattice Field TheoryDiffusion Model Sampling

    Berlin Institute for the Foundations of Learning and Data (BIFOLD), Germany · Technische Universität Berlin, Germany · Deutsches Elektronen-Synchrotron (DESY), Platanenallee 6, 15738 Zeuthen, Germany +2

  4. Machine Learning Meets High-Energy Nuclear Physics: From Pattern Recognition to Physics-Integrated Discovery

    Oct 8, 2026Xun Chen, Weiyao Ke, Yu-Gang Ma +2Lattice Field TheoryHigh-Energy Physics

    School of Nuclear Science and Technology, University of South China, Hengyang 421001, China · INFN — Istituto Nazionale di Fisica Nucleare — Sezione di Bari, Via Orabona 4, 70125 Bari, Italy · Key Laboratory of Quark and Lepton Physics (MOE) & Institute of Particle Physics, Central China Normal University, Wuhan, Hubei 430079, China +6

  5. Sampling SU(N) gauge theory on a 2D lattice from independent plaquettes via holonomies and corner reweighting

    Oct 6, 2026Javad KomijaniLattice Field TheoryHigh-Energy Physics

  6. SIMANF: Sample Free Learning of Unnormalized Distributions via Simulated Annealing in Normalizing Flows

    Sep 26, 2026Vikas KanaujiaLattice Field TheorySampling from Unnormalized Distributions

    Mahindra University Department of Electrical and Computer Engineering Hyderabad, Telangana, India

  7. Accurate Sampling from Diffusion Models

    Sep 24, 2026Dénes SextyLattice Field TheoryDiffusion Model Sampling

    Institute of Physics, NAWI Graz, University of Graz, Universitätsplatz 5, 8010 Graz, Austria

  8. Neural Non-Equilibrium Hamiltonian Monte Carlo for Corrected Boltzmann Sampling

    Jul 17, 2026Moxian QianMarkov Chain Monte CarloLattice Field Theory

    Helmholtz Institute Mainz Johannes Gutenberg University Mainz Institute of Molecular Biology (IMB) Mainz, Germany

  9. Weight-Space Physics: Interpretable Hypernetworks for Lattice Quantum Field Theories

    Jul 8, 2026Tobias Göbel, Julian R. Ebelt, Zier Mensch +2Phase TransitionsNeural Network Interpretability

    Institute of Physics, University of Amsterdam, Amsterdam, Netherlands · Department of Physics, National Taiwan University, Taipei, Taiwan · Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA +2

  10. Sampling the Schwinger Model with Gauge-Equivariant Diffusion

    Jun 25, 2026Octavio Vega, Aida X. El-KhadraDiffusion SamplingGenerative Modeling

    Department of Physics University of Illinois Urbana-Champaign Urbana, IL 61801

  11. Learning the generating functional for variance reduction in lattice QCD

    Jun 14, 2026Ryan Abbott, Yang Fu, Daniel C. Hackett +3High-Energy PhysicsVariance Reduction

    1Physics Department, Columbia University, New York, NY 10027, USA · Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA · 3The NSF AI Institute for Artificial Intelligence and Fundamental Interactions +3

  12. Operator-Guided Model Reduction for Generative Sampling in Lattice Field Theory

    May 11, 2026Moxian QianFlow MatchingMarkov Chain Monte Carlo

    Johannes Gutenberg University Mainz, 55128 Mainz, Germany

  13. Diffusion model for SU(N) gauge theories

    May 7, 2026Javad Komijani, Marina K. Marinkovic, Lara TurgutScore MatchingDiffusion Sampling

    Institute for Theoretical Physics, ETH Zurich, 8093 Zurich, Switzerland

  14. Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories

    Apr 22, 2026Ali Rayat, Yaohang Li, Gia-Wei ChernMessage Passing Neural NetworksHigh-Energy Physics

    Department of Physics, University of Virginia, Charlottesville, VA 22904, USA · Department of Computer Science, Old Dominion University, Norfolk, VA 22904, USA.

  15. Machine learning for four-dimensional SU(3) lattice gauge theories

    Apr 14, 2026Urs WengerLattice Field TheoryHigh-Energy Physics

    Institute for Theoretical Physics Albert Einstein Center for Fundamental Physics University of Bern CH-3012 Bern Switzerland

  16. Variance reduction in lattice QCD observables via normalizing flows

    Mar 3, 2026Ryan Abbott, Denis Boyda, Yang Fu +5Lattice Field TheoryVariance Reduction

    Physics Department, Columbia University, New York, NY 10027, USA · Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA · The NSF AI Institute for Artificial Intelligence and Fundamental Interactions +3

  17. A Monte Carlo estimator of flow fields for sampling and noise problems

    Feb 27, 2026Michael S. Albergo, Gurtej KanwarLattice Field TheoryHigh-Energy Physics

    Society of Fellows, Harvard University 78 Mount Auburn St, Cambridge, MA United States · Higgs Centre for Theoretical Physics, School of Physics and Astronomy, University of Edinburgh, EH9 3FD Edinburgh, United Kingdom