Conditional Flow Matching

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Generative Flow Networks

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Conditional Flow Matching

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Hierarchical Flow Matching

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Velocity Field

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Vector Fields

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ProHiFlo: Hierarchical Flow Matching with Functional Guidance for De Novo Protein Generation
Jun 3, 2026Chuanzhen Wang, Meade Cleti, Pete JanoProtein Design Hierarchical Flow Matching
Optimal Transport Flow Matching by Design
Jun 2, 2026Shimon Malnick, Matan Rusanovsky, Ohad Fried +1Hierarchical Flow Matching Generative Priors
Bootstrap Your Generator: Unpaired Visual Editing with Flow Matching
Jun 2, 2026Yoad Tewel, Yuval Atzmon, Gal Chechik +1Video Editing Image Editing
Let the Dynamics Flow: Stable Flow Matching Dynamical Systems
Jun 2, 2026Rodrigo Pérez-Dattari, Francisco Leiva, Andrea Testa +3Hierarchical Flow Matching Imitation Learning
Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching
Jun 2, 2026Alston Lo, Luka Mucko, Austin H. Cheng +4Conditional Flow Matching
On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching
Jun 1, 2026Mohammad Rashed, Duarte F. Valoroso Madeira, Babak Gholami +3Topology Optimization Model Sensitivity
Pave-GRPO: Beyond Instantaneous Guidance through Principled Average Velocity Decomposition
Jun 1, 2026Pengyang Ling, Jiazi Bu, Yujie Zhou +6Group Relative Policy Optimization Preference Alignment
FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors
May 31, 2026Hongxu Ma, Han Zhou, Chenghou Jin +5Future Video Prediction Generative Flow Networks
Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry
May 31, 2026Zemin Yang, Yaoyu He, Yiming Zhong +5Imitation Learning Vector Fields
Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction
May 31, 2026Federica Tonti, Ricardo VinuesaMulti-Agent Reinforcement Learning Deep Reinforcement Learning
FlowOVD: Learning Generative Latent Flows for Zero-shot Open-vocabulary Detection
May 30, 2026Yao Wei, Andrea Cavallaro, Changjae OhOpen-Vocabulary Object Detection Open-Vocabulary
Flow Matching for Convective-Scale Precipitation Downscaling
May 29, 2026Tom WetherellDynamical Downscaling Conditional Flow Matching
Geodesic Flow Matching for Denoising High-Dimensional Structured Representations
May 29, 2026Karim Habashy, Chris EliasmithHierarchical Flow Matching Simultaneous Localization And Mapping
VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching
May 29, 2026Tuan Duc Ngo, Chuang Gan, Evangelos Kalogerakis3D Reconstruction Volume
Parallel Tempering Initial Sampling in Inference-Time Reward Alignment
May 29, 2026Myeongjun Oh, Gwangho Kim, Sungyoon LeeTraining-Free Reward Alignment Adaptive Sampling
Equivariant Latent Alignment via Flow Matching under Group Symmetries
May 29, 2026Sunghyun Kim, Jaehoon Hahm, Jeongwoo Shin +1Hierarchical Flow Matching Exact Equivariance
Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
May 29, 2026Jonas Henry Grebe, Tobias Braun, Anna Rohrbach +1Concept Erasure Rectified Flow
Constrained Flow Optimization via Sequential Fine Tuning for Molecular Design
May 28, 2026Sven Gutjahr, Riccardo De Santi, Luca Schaufelberger +2Generative Flow Networks Constrained Optimization
TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces
May 28, 2026Junhui Ding, Xinchen Zhang, Xiaohui Xie +1Network Traffic Circuit Tracing
Moment Matching Q-Learning
May 27, 2026Yiyan, Liang, Sifei Liu +1Q-Learning Flow-Based Policy
Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields
May 27, 2026Julien Lalanne, David Picard, Lionel Boillot +3Generative Flow Networks Generative Models
Parameter-Efficient Generative Modeling with Controlled Vector Fields
May 27, 2026Peyman MortezaGenerative Flow Networks Generative Models
ProgVLA: Progress-Aware Robot Manipulation Skill Learning
May 27, 2026Seungsu Kim, Jinyoung Choi, Seungmin Baek +1Generalizable Robotic Manipulations Large Vision Language Models
Recursive Flow Matching
May 26, 2026Jiahe Huang, Sihan Xu, Sharvaree Vadgama +1Conditional Flow Matching Generative Models
AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models
May 25, 2026Branislav Kveton, Anup Rao, Subhojyoti Mukherjee +2Generative Flow Networks Rectified Flow
Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition
May 25, 2026Yunqing Liu, Yi Zhou, Wenqi FanConformational Ensembles Hierarchical Flow Matching
Mosaic: Compositional Multi-Concept Erasure via Vector Field Blending
May 25, 2026Junseok Ko, Jungwoo Kim, Jong-Seok LeeConcept Erasure Text-To-Image
Guided Flow Matching for Forward and Inverse PDE Problems with Sparse Observations: Algorithm and Theory
May 25, 2026Xifeng Zhang, Jin ZhaoPartial Differential Equation Benchmarks Ill-Posed Inverse Problem
Geometry-Aware Image Flow Matching
May 24, 2026Junho Lee, Kwanseok Kim, Joonseok LeeHierarchical Flow Matching Statistical Manifold
Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems
May 24, 2026Jules Berman, Tobias Blickhan, Benjamin PeherstorferPopulation Dynamics Wasserstein Gradient Flows
Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications
May 22, 2026Roman Pavelkin, Luis A. Zavala-Mondragon, Christiaan G. A. Viviers +1Sparse Recovery Generative Flow Networks
Score-Based One-step MeanFlow Policy Optimization
May 22, 2026Kyungyoon Kim, Donghyeon Ki, Hee-Jun Ahn +1Flow-Based Policy Offline Reinforcement Learning
Sparse Compositional Flow Matching by geometric assembly from motion primitives
May 22, 2026Yan Tang, Yuanbo Tang, Tingyu Cao +2Hierarchical Flow Matching Human Motion Generation
PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
May 22, 2026Junru Zhang, Lang Feng, Jinbo Wang +6Synthetic Time Series Multiscale Dynamics
Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
May 21, 2026Shengzhe Chen, Mehrdad Moradi, Kamran Paynabar +1Hierarchical Flow Matching Feature Matching
Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models
May 21, 2026Krishnakumar BalasubramanianVelocity Field Conditional Velocity
From Snapshots to Trajectories: Learning Single-Cell Gene Expression Dynamics via Conditional Flow Matching
May 21, 2026Siyu Pu, Qingqing Long, Xiaohan Huang +7Single-Cell Rna Sequencing Conditional Flow Matching
RiT: Vanilla Diffusion Transformers Suffice in Representation Space
May 21, 2026Le Zhang, Ning Mang, Aishwarya AgrawalHierarchical Flow Matching Multimodal Diffusion Transformers
PhylaFlow: Hybrid Flow Matching in Billera-Holmes-Vogtmann Tree Space for Phylogenetic Inference
May 21, 2026Yasha Ektefaie, Leo Cui, Shrey Jain +2Phylogenetic Trees Conditional Flow Matching
Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards
May 20, 2026Xuehui Yu, Fucheng Cai, Meiyi Wang +2Reward-Guided Diffusion Generative Flow Networks
Latent Cache Flow: Model-to-Model Communication Without Text
May 19, 2026Maximillian Rossi, Prajwal Raghunath, Eugene WuLarge Language Model Agents Communication
Probability-Conserving Flow Guidance
May 19, 2026Parsa Esmati, Junha Hyung, Amirhossein Dadashzadeh +2Generative Flow Networks Neural Guidance
Tail Annealing for Heavy-Tailed Flow Matching
May 19, 2026Jean PachebatLong-Tailed Distribution Conditional Flow Matching
Stitched Value Model for Diffusion Alignment
May 19, 2026Hyojun Go, Hyungjin Chung, Prune Truong +8Generative Flow Networks Fabric
Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes
May 19, 2026Tianshu Kuai, Arman Maesumi, Daniel Ritchie +1Triangulations Meshes
StableHand: Quality-Aware Flow Matching for World-Space Dual-Hand Motion Estimation from Egocentric Video
May 18, 2026Huajian Zeng, Chaohua Yao, Yuantai Zhang +33D Hand Hand
A Unified Framework for Structured Flow Modeling: From Representation to Verification and Model Discovery
May 18, 2026Diego CasadeiVector Fields Unified Framework
Physics-informed convolutional neural networks for fluid flow through porous media
May 18, 2026Rafał Topolnicki, Paweł Dłotko, Maciej MatykaFluid Dynamics Conventional Physics-Informed Neural Networks
A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows
May 18, 2026Chenguang Wang, Tianshu YuWasserstein Gradient Flows Diffusion Sampling
Weighted Flow Matching and Physics-Informed Nonlinear Filtering for Parameter Estimation in Digital Twins
May 16, 2026Yasar Yanik, Himadri Basu, Ricardo G. Sanfelice +1Digital Twin Framework Digital Twins
Learning Unbiased Permutations via Flow Matching
May 16, 2026Yimeng Min, Carla P. GomesPermutation Conditional Flow Matching
Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schrödinger Samplers
May 15, 2026Bruno Trentini, Dejan Stancevic, Michael M. Bronstein +2Schrödinger Bridges Samplers
Multi-Fidelity Flow Matching: Cascaded Refinement of PDE Solutions
May 15, 2026Sipeng Chen, Junliang Liu, Hewei Tang +1Conditional Flow Matching Shallow Water Equations
FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy
May 15, 2026Qian He, Zhenshuo Yang, Wenqi Liang +3Visuomotor Policy Conditional Flow Matching
VAGS: Velocity Adaptive Guidance Scale for Image Editing and Generation
May 15, 2026Yan Luo, Ahmadou Aidara, Jingyi Lu +3Neural Guidance Image Editing
Lagrangian Flow Matching: A Least-Action Framework for Principled Path Design
May 14, 2026Shukai Du, Junzhe Zhang, Yiming LiConditional Flow Matching Velocity Field
$f$ -Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
May 14, 2026Jake Fawkes, Jason HartfordGenerative Flow Networks Time-Step-Wise Learnable Surrogate Gradient Function
Aligning Latent Geometry for Spherical Flow Matching in Image Generation
May 14, 2026Tuna Han Salih Meral, Kaan Oktay, Hidir Yesiltepe +2Hierarchical Flow Matching Latent Cluster Geometry
The Velocity Deficit: Initial Energy Injection for Flow Matching
May 14, 2026Linze Li, Zong-Wei Hong, Shen Zhang +4Hierarchical Flow Matching Image Denoising
Sampling from Flow Language Models via Marginal-Conditioned Bridges
May 13, 2026Iskander Azangulov, Leo ZhangGenerative Flow Networks Diffusion Language Models

Jun 3, 2026 · cs.LGJ/K move · Enter open · S save

ProHiFlo: Hierarchical Flow Matching with Functional Guidance for De Novo Protein Generation

Chuanzhen Wang, Meade Cleti, Pete Jano

3Tongji University · 1Arizona State University · University of Wisconsin-Madison

De novo protein generation has transformative potential in therapeutic design, enzyme engineering, and synthetic biology. While diffusion-based and flow matching approaches have achieved progress, they typically operate at single resolution and lack mechanisms for incorporating functional constraints. We introduce ProHiFlo, a hierarchical flow matching framework with three innovations: (1) coarse-to-fine generation that models backbone geometry before refining to all-atom coordinates, reducing computational cost while maintaining accuracy; (2) functional guidance leveraging pretrained predictors to steer generation toward desired properties without retraining; (3) adaptive SE(3)-equivariant architecture for efficient multi-scale processing. Experiments on unconditional generation, motif scaffolding, and functional design demonstrate state-ofthe-art performance while requiring 4 fewer sampling steps. On enzyme active site scaffolding, ProHiFlo achieves 58.9% success rate compared to 41.2% for RFDiffusion.

Protein Design Hierarchical Flow Matching Motif State-Of-The-Art

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