Flow Map Learning

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6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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  1. Flow-of-Thought: A Framework for Visual Reasoning

    Oct 7, 2026Mariia Baidachna, Nicolas PugeaultVisual ReasoningSpatial Reasoning

    University of Glasgow

  2. Langevin Flow Maps: Efficient Molecular Dynamics and Transition Path Sampling

    Oct 5, 2026Sam McCallum, Niklas Rindtorff, Alexander Tong +1Stochastic Differential EquationsMachine Learning Interatomic Potentials

    University of Bath · AITHYRA

  3. Gumbel Straight Flow: Distilling Autoregressive Models into One-step Flow Maps

    Sep 30, 2026Yeongmin Kim, Arnaud Doucet, Andrew Campbell +3Non-Autoregressive Text GenerationOne-Step Generative Modeling

    Google DeepMind · Work done as a Student Researcher at Google DeepMind Amsterdam

  4. FlowMap-OPD: Rollout--Kernel Separation for On-Policy Distillation of Few-Step Flow-Map Generators

    Sep 29, 2026Zhiqi Li, Bo ZhuGenerative Flow NetworksFlow Map Learning

    Georgia Institute of Technology

  5. MeanFlowAdvantage: Stable Reward Fine-Tuning for Few-Step Average-Velocity Generators

    Sep 29, 2026Haocheng Tang, Tianchi Xie, Xingqiao LinFlow MatchingMeanFlow

    Northeastern University Boston, MA 02115, USA · Tsinghua University Beijing, 100084, PRC · Carnegie Mellon University Pittsburgh, PA 15213, USA

  6. Stochastic Flow Map for Count Data

    Sep 20, 2026Ganchao WeiSynthetic Data GenerationOne-Step Generative Modeling

    Flatiron Institute New York, NY 10010, USA

  7. How I learned to stop worrying and love StopGrads: Stationarity, Convergence, and a case study on Flow Map Learning

    Sep 14, 2026Max W. Shen, Mark Goldstein, Zichu Wang +2Flow Map LearningStochastic Optimization Convergence

    Flatiron Institute · NYU

  8. Two-Parameter Flow Map Learning for Continuous-Time Diffeomorphic Image Registration

    Sep 11, 2026Mohammadjavad Matinkia, Nilanjan RayMedical Image RegistrationFlow Map Learning

    University of Alberta, Canada

  9. Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks

    Aug 31, 2026Isaac Malsky, Xi Zhang, Tiffany Kataria +5Neural Surrogate ModelingFlow Map Learning

    Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA · Department of Earth and Planetary Sciences, University of California Santa Cruz, Santa Cruz, CA 95064, USA · Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA +4

  10. Flow-Map Distillation on Relation Manifolds for Image Restoration

    Aug 6, 2026Zihao He, Songhua LiuFlow MatchingFlow Map Learning

    School of Artificial Intelligence · Shanghai Jiao Tong University · Shanghai City, China

  11. Modeling Unknown Nonlocal PDE Systems via Flow Map Learning

    Aug 1, 2026Zhongshu Xu, Ying Li, Yanzhi Zhang +1PDE Surrogate ModelingFlow Map Learning

    Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA. · Department of Mathematics and Statistics, Missouri University of Science and Technology, Rolla, MO 65409, USA.

  12. Latent-Kernel Discrete Flow Maps for Few-Step Generation

    Jul 29, 2026Mansoor Ahmed, Yue-Tsz Fan, Hemanth Venkateswara +1Latent Variable ModelsFew-Step Diffusion Sampling

    Georgia State University, Atlanta, GA, USA · Georgia Institute of Technology, Atlanta, GA, USA

  13. Flow Map Learning via Nongradient Vector Flow

    Jul 29, 2026Mark Goldstein, Anshuk Uppal, Raghav Singhal +2Diffusion SamplingFlow Map Learning

    Center for Computational Mathematics, Flatiron Institute. · Department of Applied Mathematics and Computer Science, Technical University of Denmark. · Courant Institute, New York University.

  14. Expanding Flow Maps

    Jul 23, 2026Sophia Tang, Pranam ChatterjeeFlow Map LearningGenerative Modeling

    Department of Computer and Information Science, University of Pennsylvania · Department of Bioengineering, University of Pennsylvania

  15. Self-conditioned Flow Map Language Models via Fixed-point Flows

    Jul 1, 2026Jaehoon Yoo, Wonjung Kim, Floor Eijkelboom +4Normalizing FlowsOne-Step Generative Modeling

    KAIST · University of Amsterdam · Carnegie Mellon University

  16. Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic Composition

    Jul 1, 2026Zhiqi Li, Wen Zhang, Bo ZhuImage GenerationFlow Map Learning

    Georgia Institute of Technology, Atlanta, GA, USA.

  17. Few-Step Boltzmann Generators via Scalable Likelihood Flow Maps

    Jun 27, 2026RuiKang OuYang, Hanlin Yu, Xinyue Ai +7Flow Map LearningGenerative Modeling

    University of Cambridge · University of Helsinki · Peking University +3

  18. Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems

    Jun 18, 2026Nicolas Zilberstein, Morteza Mardani, Santiago SegarraFlow MatchingFlow Map Learning

    Rice University · NVIDIA Inc.

  19. Itô maps for any-step SDEs

    Jun 9, 2026Zhengkai Pan, Peter Potaptchik, Wenxi Yao +2Stochastic Differential EquationsDiffusion Distillation

    Harvard University · University of Oxford · Kempner Institute

  20. Multimarginal flow matching with optimal transport potentials

    Jun 3, 2026Raghav Kansal, David Crair, Nghia Nguyen +2Flow MatchingFlow Map Learning

    Bexorg, Inc., New Haven, CT, USA.

  21. Strong Stochastic Flow Maps

    May 31, 2026Sam McCallum, Zander W. Blasingame, Timothy Herschell +3Stochastic Differential EquationsFew-Step Diffusion Sampling

    University of Bath · 2AITHYRA

  22. Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error

    May 29, 2026Markus GrossKoopman Operator LearningNonlinear System Identification

    Institute for AI Safety and Security, German Aerospace Center (DLR), Sankt Augustin and Ulm, Germany

  23. LC-Flow: Learning Local Continuous Optical Flow and Confidence from events

    May 23, 2026Gunwoo Jeon, Chaesong Park, Jongwoo LimOptical FlowEvent-Based Vision

    IPAI, Seoul National University

  24. Path-independent Flow Matching for Multi-parameter Generative Dynamics

    May 13, 2026Francisco Téllez, AmirHossein Zamani, Philippe Martin +5Flow MatchingFlow Map Learning

    Université de Montréal, Mila · Concordia University, Mila · Concordia University +2

  25. Scaling Categorical Flow Maps

    May 8, 2026Oscar Davis, Anastasiia Filippova, Pierre Ablin +4Language Model ScalingFlow Map Learning

    Apple · University of Oxford

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

    Jan 29, 2026Winfried Ripken, Michael Plainer, Gregor Lied +5Dynamical SystemsFlow Map Learning

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