Flow Matching

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79 papers in the last four weeks, up 365% on the four weeks before. 0.8% of all new papers.

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CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters
Jun 2, 2026Cheng Jiang, Sitian Qian, Kevin Pedro +3Physics-Informed Generative Modeling Flow Matching
School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom · Department of Physics, University of Wisconsin-Madison, Madison, WI 53706, USA · Fermi National Accelerator Laboratory, Batavia, IL 60510, USA +2
Optimal Transport Flow Matching by Design
Jun 2, 2026Shimon Malnick, Matan Rusanovsky, Ohad Fried +1Flow Matching One-Step Generative Modeling
1Tel Aviv University · 2Reichman University
Bootstrap Your Generator: Unpaired Visual Editing with Flow Matching
Jun 2, 2026Yoad Tewel, Yuval Atzmon, Gal Chechik +1Flow Matching Video Editing
1NVIDIA · 2Tel Aviv University
Let the Dynamics Flow: Stable Flow Matching Dynamical Systems
Jun 2, 2026Rodrigo Pérez-Dattari, Francisco Leiva, Andrea Testa +3Flow Matching Lyapunov Stability
Department of Robotics, Perception, and Learning, KTH Royal Institute of Technology, Stockholm, Sweden. · Advanced Mining Technology Center (AMTC) and Department of Electrical Engineering, Universidad de Chile, Santiago, Chile. · Bosch Center for Artificial Intelligence, Renningen, Germany. +1
Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching
Jun 2, 2026Alston Lo, Luka Mucko, Austin H. Cheng +4Flow Matching Crystal Structure Prediction
MIT CSAIL, Cambridge, MA, USA · University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia · Department of Chemistry, University of Toronto, Toronto, ON, Canada +8
Low-Pass Flow Matching
Jun 1, 2026Francesco M. Ruscio, T. Konstantin RuschFlow Matching Image Generation
ELLIS Institute Tübingen & · Max Planck Institute for Intelligent Systems & · AITHYRA +2
DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning
May 30, 2026Limin Yan, Haoyun Tang, Yutao Qiu +2Flow Matching Trajectory Generation
Meituan Autonomous Driving · Xi’an Jiaotong University · Beijing Institute of Technology
(HB-ARFM) History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction
May 29, 2026Xianwei Zou, Sheikh Md Shakeel Hassan, Arthur Feeney +1Flow Matching PDE Inverse Problems
Department of Electrical Engineering and Computer Science, University of California Irvine, USA.
Flow Matching for Convective-Scale Precipitation Downscaling
May 29, 2026Tom WetherellFlow Matching Conditional Flow Matching
Met Office
Geodesic Flow Matching for Denoising High-Dimensional Structured Representations
May 29, 2026Karim Habashy, Chris EliasmithFlow Matching Representation Learning
Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada · Center For Theoretical Neuroscience, University of Waterloo, Waterloo, Canada · Department of Philosophy, University of Waterloo, Waterloo, Canada
Equivariant Latent Alignment via Flow Matching under Group Symmetries
May 29, 2026Sunghyun Kim, Jaehoon Hahm, Jeongwoo Shin +1Flow Matching Equivariant Neural Networks
1Seoul National University, Seoul, Korea · University of Illinois Urbana-Champaign, Illinois, USA
UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM Steering
May 28, 2026Yingdong Shi, Ruiming Zhang, Changming Li +4Flow Matching Language Model Steering
ShanghaiTech University
Midpoint Generative Models
May 28, 2026Daniil Shlenskii, Nikita Gushchin, Lev Novitskiy +2Flow Matching Stochastic Interpolants
1AXXX, Russia · 2Applied AI Institute, Russia · 3Kandinsky Lab, Russia
Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification
May 28, 2026Hwa Hui Tew, Junn Yong Loo, Fang Yu Leong +6Flow Matching Time Series Generation
School of Information Technology, Monash University Malaysia · Statistics Program, King Abdullah University of Science and Technology · School of Engineering, Monash University Malaysia
Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields
May 27, 2026Julien Lalanne, David Picard, Lionel Boillot +3Flow Matching Uncertainty Quantification
Navier, CNRS, Univ Gustave Eiffel, ENPC, IP Paris, France · TotalEnergies, OneTech, France · LIGM, CNRS, Univ Gustave Eiffel, ENPC, IP Paris, France
Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction
May 26, 2026Forouzan Fallah, Chia Yu Hsu, Wenwen Li +2Flow Matching Remote Sensing
School of Computing and Augmented Intelligence, Arizona State University · School of Geographical Sciences and Urban Planning, Arizona State University · Woodwell Climate Research Center
GenSBI: Generative Methods for Simulation-Based Inference in JAX
May 26, 2026Aurelio AmerioFlow Matching Simulation-Based Inference
Instituto de Física Corpuscular (IFIC) Universitat de València & CSIC València, Spain
Equivalent Flows, Unequal Learning: Clean-Latent Prediction in Transformers
May 26, 2026Funing Fu, Tenghui Wang, Guanyu Zhou +2Flow Matching Diffusion Transformer
Independent Researcher · Wuhan University of Technology · Hangzhou Jiyi Artificial Intelligence Co., Ltd.
Recursive Flow Matching
May 26, 2026Jiahe Huang, Sihan Xu, Sharvaree Vadgama +1Neural Surrogate Modeling Flow Matching
University of California, San Diego · University of Michigan
FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
May 26, 2026Peiyu Duan, Jiyao Wang, Nicha C. Dvornek +4Flow Matching Synthetic Data Generation
Department of Biomedical Engineering, Yale University, New Haven, CT, USA · Department of Radiology & Biomedical Imaging, Yale University, New Haven, CT, USA · Department of Electrical Engineering, Yale University, New Haven, CT, USA
Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition
May 25, 2026Yunqing Liu, Yi Zhou, Wenqi FanFlow Matching Generative Modeling
The Hong Kong Polytechnic University Hong Kong, China
Guided Flow Matching for Forward and Inverse PDE Problems with Sparse Observations: Algorithm and Theory
May 25, 2026Xifeng Zhang, Jin ZhaoFlow Matching PDE Solving
School of Mathematical Science Capital Normal University Beijing, 100048, China · Academy for Multidisciplinary Studies Capital Normal University2026 Beijing, 100048, China
Geometry-Aware Image Flow Matching
May 24, 2026Junho Lee, Kwanseok Kim, Joonseok LeeFlow Matching Image Generation
1Seoul National University, Seoul, Korea.
Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications
May 22, 2026Roman Pavelkin, Luis A. Zavala-Mondragon, Christiaan G. A. Viviers +1Flow Matching Image Reconstruction
Eindhoven University of Technology, Eindhoven
Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models
May 22, 2026Jade Zou, Tao Huang, Weijie Kong +7Diffusion Model Alignment Flow Matching
Peking University · Tencent Hunyuan
Score-Based One-step MeanFlow Policy Optimization
May 22, 2026Kyungyoon Kim, Donghyeon Ki, Hee-Jun Ahn +1Flow Matching MeanFlow
Korea University, Decision Making Lab · Gauss Labs Inc.
Sparse Compositional Flow Matching by geometric assembly from motion primitives
May 22, 2026Yan Tang, Yuanbo Tang, Tingyu Cao +2Flow Matching Robot Motion Generation
Tsinghua Shenzhen Graduate School, Tsinghua University, Shenzhen, China · School of AI, Chinese University of Hong Kong (Shenzhen)
PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
May 22, 2026Junru Zhang, Lang Feng, Jinbo Wang +6Flow Matching Mixture of Experts
Zhejiang University, China · Nanyang Technological University, Singapore · I2R, Agency for Science, Technology and Research (A*STAR), Singapore
Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
May 21, 2026Shengzhe Chen, Mehrdad Moradi, Kamran Paynabar +1Flow Matching Industrial Anomaly Detection
1Arizona State University · 2Georgia Institute of Technology
RobustSpeechFlow: Learning Robust Text-to-Speech Trajectories via Augmentation-based Contrastive Flow Matching
May 21, 2026Jinhyeok Yang, Hyeongju Kim, Yechan Yu +3Flow Matching TTS Synthesis
Supertone Inc, South Korea · Independent Researcher, South Korea

Jun 2, 2026, hep-exJ/K move · Enter open · S save

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters

Cheng Jiang, Sitian Qian, Kevin Pedro, Oz Amram+2

School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom · Department of Physics, University of Wisconsin-Madison, Madison, WI 53706, USA · Fermi National Accelerator Laboratory, Batavia, IL 60510, USA+2

Physics-Informed Generative Modeling Flow Matching Surrogate Modeling One-Step Generative Modeling Physics-Informed ML Physics-Based Simulation

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High-precision calorimeter simulation at current and future colliders imposes rapidly growing computational demands, motivating the development of machine-learning surrogates for traditional Monte Carlo tools such as Geant4. Flow matching and diffusion-based generative models have become leading approaches for high-dimensional fast simulation because of their sample quality, but typically require

{\cal O}(100)

function evaluations at inference and often rely on auxiliary networks to constrain global observables, compromising streamlined end-to-end generation. We introduce a unified framework that improves the balance between speed, shower quality, and physics fidelity. The method combines: (i) an average velocity field integrator that enables sampling in one or a few evaluations; (ii) a learned generative prior in shower space, constructed from data rather than random noise; and (iii) physics-guided loss terms that impose inductive biases on key observables during training. These elements are training time regularizers, preserving end-to-end inference with no additional cost. With only one or a few evaluation steps, the model achieves shower quality competitive with state-of-the-art flow and diffusion approaches, tested on several public high granularity calorimeter datasets. The results demonstrate inter-layer shower structure consistent with the underlying physics, providing a strong candidate for future fast simulation workflows.

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Latest papers 446