Boltzmann Sampling

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17 papers6 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

  1. Sampling the XY model with an attention-based neural network

    Oct 16, 2026Piotr Białas, Christian D. Morales, Tomasz Stebel +1Boltzmann SamplingAutoregressive Transformer

    Institute of Applied Computer Science, Jagiellonian University, ul. Łojasiewicza 11, 30-348 Kraków, Poland · V. N. Karazin Kharkiv National University, 6 Nezalezhnosti Ave, Kharkiv 61022, Ukraine · Institute of Theoretical Physics, Jagiellonian University, ul. Łojasiewicza 11, 30-348 Kraków, Poland +1

  2. Neural Sampling with Reweighted Normalizing Flows via the Wasserstein--Fisher--Rao JKO Scheme

    Oct 7, 2026Chenguang Duan, Johannes Hertrich, Gabriele SteidlSampling from Unnormalized DistributionsBoltzmann Sampling

    Institut für Geometrie und Praktische Mathematik, RWTH Aachen University · Institute of Computer Science, University of Göttingen · Institute of Mathematics, TU Berlin

  3. Grand Canonical Generators

    Sep 30, 2026Andreas Burger, Malte Franke, Luka Mucko +2Generative ModelingMolecular Generation

    University of Toronto NVIDIA Vector Institute Toronto, Canada · ETH Zurich NCCR Catalysis Zurich, Switzerland · University of Toronto NVIDIA Vector Institute Acceleration Consortium CIFAR Toronto, Canada

  4. FUND: Density Flow for Sampling Unnormalised Distributions

    Sep 26, 2026Vikas Kanaujia, Vipul AroraSampling from Unnormalized DistributionsBoltzmann Sampling

    Department of Electrical Engineering IIT Kanpur · Department of Electrical Engineering KU Leuven

  5. Bridging Stochastic Flow Maps and Boltzmann Generators with Normalizing Flows

    Sep 25, 2026Louis Grenioux, RuiKang OuYang, Luhuan WuBoltzmann SamplingMolecular Generation

    Center for Computational Mathematics, Flatiron Institute, New York, NY, USA · Department of Engineering, University of Cambridge, Cambridge, UK · Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA

  6. Neural Transport Nested Sampling

    Sep 24, 2026David Yallup, Will HandleyMarkov Chain Monte CarloBoltzmann Sampling

    Kavli Institute for Cosmology Cambridge Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge, CB3 0HA, UK

  7. 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

  8. AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms

    Jul 3, 2026Emmanuel Bengio, Sanjeev Raja, Yui Tik Pang +5Free Energy CalculationBoltzmann Sampling

    Valence Labs · Recursion · UC Berkeley

  9. B3O: Scalable Boltzmann Batch Bayesian Optimization

    Jun 29, 2026Maximilian Bloor, Liyuan Xu, Hrvoje Stojic +1Bayesian OptimizationBoltzmann Sampling

    Imperial College London London, UK · Secondmind Cambridge, UK

  10. Scalable Physics-Inspired Transformers for Spin Glasses

    Jun 22, 2026Lu Zhong, Wenli Duan, Jing Liu +2TransformerBoltzmann Sampling

    Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Physical Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China · Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China +4

  11. Scalable Inference-Time Annealing with Surrogate Likelihood Estimators

    May 29, 2026Daniel Peñaherrera, Rishal Aggarwal, David Ryan KoesComputational Quantum ChemistryGenerative Flow Networks

    CMU-Pitt PhD Program in Computational Biology · Dept. of Computational & Systems Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA

  12. Jeffreys Flow: Robust Boltzmann Generators for Rare Event Sampling via Parallel Tempering Distillation

    Apr 7, 2026Guang Lin, Christian Moya, Di Qi +1Boltzmann Sampling

    Department of Mathematics, Purdue University, West Lafayette, IN 47907, USA

  13. One-Step Sampler for Boltzmann Distributions via Drifting

    Mar 18, 2026Wenhan Cao, Keyu Yan, Lin ZhaoBoltzmann SamplingSampling from Unnormalized Distributions

    Department of Electrical and Computer Engineering, National University of Singapore

  14. Sampling Boltzmann distributions via normalizing flow approximation of transport maps

    Mar 15, 2026Zia Ur Rehman, Gero FrieseckeBoltzmann SamplingNormalizing Flows

    Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Boltzmannstrasse 3, 85748 Garching, Germany

  15. Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization

    Feb 3, 2026Henrik Schopmans, Christopher von Klitzing, Pascal FriederichBoltzmann SamplingGenerative Modeling

    Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131 Karlsruhe, Germany · Institute of Nanotechnology, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131 Karlsruhe, Germany

  16. Boltzmann generators for amorphous particle systems

    Dec 18, 2025Louis Grenioux, Leonardo Galliano, Ludovic Berthier +2Boltzmann SamplingContinuous Normalizing Flows

    CMAP, CNRS, École polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France · Center for Computational Mathematics, Flatiron Institute, New York, NY, USA · Laboratoire de Physique de l’École normale supérieure ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, 75005 Paris, France +2

  17. Training Energy-Based Models with Non-MCMC Samplers and Efficient Temperature Estimation

    Dec 2, 2025Kentaro Kubo, Hayato GotoBoltzmann SamplingEnergy-Based Models

    Corporate Laboratory, Toshiba Corporation, Kawasaki, Kanagawa 212-8582, Japan · RIKEN Center for Quantum Computing (RQC), Wako, Saitama 351-0198, Japan