Flow Map

Momentum

9 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 38

All topics
CardsList
  1. Gumbel Straight Flow: Distilling Autoregressive Models into One-step Flow Maps

    Sep 30, 2026Yeongmin Kim, Arnaud Doucet, Andrew Campbell +3Flow MapAutoregressive Language Models

  2. Distill Locally, Schedule Globally: Flow Maps for Few-Step Text-to-Speech

    Sep 28, 2026Yentl Collin, Evan Dufraisse, Amr Mohamed +3Flow-Matching Text-To-SpeechLatent Flow

  3. Faster Visuomotor Policy Learning on Action Manifolds via Riemannian MeanFlow

    Sep 24, 2026S. Talha Bukhari, Austin Garrett, Yi Wei +3Flow PoliciesMultimodal Action Distributions

  4. WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps

    Sep 22, 2026Abbas Mammadov, Jerry Y. Huang, Justin Lin +5Generative Flow NetworksReinforcement Fine-Tuning

  5. OMatG-flash: An All-Atom Flow Map with Reinforce Adjoint Matching for Scalable Materials Discovery

    Sep 22, 2026Thomas Egg, Harry Winston Sullivan, Ellad B. Tadmor +1Data-Driven Materials DiscoveryCrystal Structure Prediction

  6. Stochastic Flow Map for Count Data

    Sep 20, 2026Ganchao WeiFlow MapInvertible Flows

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

    Sep 11, 2026Mohammadjavad Matinkia, Nilanjan RayImage RegistrationFlow Map

  8. Fused Bayesian Flow Networks for Dual-Target Molecular Design

    Aug 2, 2026Jingyuan Zhou, Shikui Tu, Lei XuMolecular DesignDuality

  9. Modeling Unknown Nonlocal PDE Systems via Flow Map Learning

    Aug 1, 2026Zhongshu Xu, Ying Li, Yanzhi Zhang +1Partial Differential EquationsNonlinear Operators

  10. Flow Map Learning via Nongradient Vector Flow

    Jul 29, 2026Mark Goldstein, Anshuk Uppal, Raghav Singhal +2Flow MapInvertible Flows

  11. Expanding Flow Maps

    Jul 23, 2026Sophia Tang, Pranam ChatterjeeGenerative Flow NetworksFlow Map

  12. CSympNet-ID: conformal-symplectic map learning for linearly damped Hamiltonian systems

    Jul 3, 2026Jiale Gong, Pengzhan Jin, Dongyang Kuang +2HamiltonianChaos

  13. Sampling Meets Interaction: Sequentially-Controlled Multi-Particle Flow-Maps for Efficient Inference-time Search

    Jul 1, 2026Binglin Ji, Anindya Sarkar, Hengchang Lu +2Flow MapExploration

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

    Jul 1, 2026Zhiqi Li, Wen Zhang, Bo ZhuFlow MapInvertible Flows

  15. Coarse-to-Fine: A Hybrid Self-Supervised Method for Non-rigid 3D Shape Matching

    Jun 25, 2026Feifan Luo, Ting Li, Zhao Li +1Shape CorrespondenceCoarse-To-Fine

  16. Posterior Refinement: Fast Language Generation via Any-Order Flow Maps

    Jun 23, 2026Manan Agarwal, Sheel Shah, Chanhyuk Lee +6Masked Diffusion Language ModelsAutoregressive Generation

  17. FlowMaps: Modeling Long-Term Multimodal Object Dynamics with Flow Matching

    Jun 18, 2026Francesco Argenziano, Miguel Saavedra-Ruiz, Sacha Morin +3Flow MapMultimodal Action Distributions

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

    Jun 18, 2026Nicolas Zilberstein, Morteza Mardani, Santiago SegarraIterative Denoising MethodsImage Restoration

  19. Population-Aware Physics-Informed Neural Particle Flow for Bayesian Update

    Jun 9, 2026Batu Candan, Simone ServadioFlow Map

  20. Few-step Cofolding with All-Atom Flow Maps

    Jun 7, 2026Gianluca Scarpellini, Ron Shprints, Peter Holderrieth +7Conformational EnsemblesFlow Map

  21. A Quantitative Approximation Framework for Flow Distillation in Diffusion Models

    Jun 2, 2026Weiguo Gao, Ming Li, Lei Shi +1Diffusion ModelsFlow Map

  22. Strong Stochastic Flow Maps

    May 31, 2026Sam McCallum, Zander W. Blasingame, Timothy Herschell +3Invertible FlowsFlow Map

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

    May 29, 2026Markus GrossNonlinear DynamicsNonlinearity

  24. BlockFormer\textit{BlockFormer} : Transformer-based inference from genomic contact maps

    May 20, 2026Eloïse Touron, Pedro L. C. Rodrigues, Julyan Arbel +2Genome-Wide Association StudyFlow Map

  25. Observation-Aligned Mask Priors for Learning Physical Fields from Authentic Occlusions

    May 16, 2026Chiyuan Ma, Zihan Zhou, Tianshu YuDiverse Occlusion-And-Revelation ScenariosKinematic Priors

  26. Propagation of Chaos in Contextual Flow Maps

    May 16, 2026Shi Chen, Zhengjiang Lin, Kaizhao Liu +1Transformer ArchitecturesFlow Map

  27. Reinforced Collaboration in Multi-Agent Flow Networks

    May 13, 2026Zheng Wang, Yuang Liu, Yangkai DingCollaborationFlow Map

  28. Scaling Categorical Flow Maps

    May 8, 2026Oscar Davis, Anastasiia Filippova, Pierre Ablin +4Latent FlowFlow Map

  29. A Few-Step Generative Model on Cumulative Flow Maps

    May 5, 2026Zhiqi Li, Duowen Chen, Yuchen Sun +1Flow MapFlow Models

  30. CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making

    May 2, 2026Guowei Zou, Haitao Wang, Beiwen Zhang +2Flow Map

  31. How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance

    Apr 29, 2026Jerry Y. Huang, Justin Lin, Sheel Shah +2Generative Flow NetworksFlow Map

  32. RA-CMF: Region-Adaptive Conditional MeanFlow for CT Image Reconstruction

    Apr 28, 2026Md Shifatul Ahsan Apurba, Md Selim, Jin ChenCone-Beam Computed TomographyMeanflow

  33. XFlowMap: Cross-Scale Generalization and Mapping of Massive Origin-Destination Data

    Apr 23, 2026Diansheng Guo, Hai JinOrigin Destination FlowsFlow Map

  34. Variational Bayesian Flow Network for Graph Generation

    Jan 30, 2026Yida Xiong, Jiameng Chen, Xiuwen Gong +3Flow MapData Generation

  35. FUSE: A Flow-based Mapping Between Shapes

    Nov 17, 2025Lorenzo Olearo, Giulio Viganò, Daniele Baieri +2Shape Correspondence3D Mapping

  36. Transport-Coupled Bayesian Flows for Molecular Graph Generation

    Oct 11, 2025Yida Xiong, Jiameng Chen, Kun Li +4Molecular GenerationPhysics-Guided Diffusion