{"total":77,"rows":[{"id":"2505.13413","title":"Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling","created":"2025-05-19","cited_by_count":20,"area":"diffusion"},{"id":"2510.26645","title":"Curly Flow Matching for Learning Non-gradient Field Dynamics","created":"2025-10-30","cited_by_count":20,"area":"diffusion"},{"id":"2507.17731","title":"Flow Matching Meets Biology and Life Science: A Survey","created":"2025-07-23","cited_by_count":14,"area":"diffusion"},{"id":"2510.05930","title":"Carr\\'e du champ flow matching: better quality-generalisation tradeoff in generative models","created":"2025-10-07","cited_by_count":14,"area":"diffusion"},{"id":"2410.12779","title":"Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds","created":"2024-10-16","cited_by_count":13,"area":null},{"id":"2407.11734","title":"Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen","created":"2024-07-16","cited_by_count":12,"area":null},{"id":"2505.11197","title":"Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schr\\\"odinger Bridge","created":"2025-05-16","cited_by_count":12,"area":null},{"id":"2506.10168","title":"Momentum Multi-Marginal Schr\\\"odinger Bridge Matching","created":"2025-06-11","cited_by_count":11,"area":null},{"id":"2407.09297","title":"Learning Distances from Data with Normalizing Flows and Score Matching","created":"2024-07-12","cited_by_count":10,"area":null},{"id":"2506.01502","title":"Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme","created":"2025-06-02","cited_by_count":9,"area":null},{"id":"2506.14020","title":"Bures-Wasserstein Flow Matching for Graph Generation","created":"2025-06-16","cited_by_count":9,"area":"diffusion"},{"id":"2410.04543","title":"Pullback Flow Matching on Data Manifolds","created":"2024-10-06","cited_by_count":8,"area":"diffusion"},{"id":"2505.18230","title":"Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models","created":"2025-05-23","cited_by_count":7,"area":null},{"id":"2602.19634","title":"Compositional Planning with Jumpy World Models","created":"2026-02-23","cited_by_count":7,"area":"wm"},{"id":"2505.11128","title":"What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold","created":"2025-05-16","cited_by_count":6,"area":"diffusion"},{"id":"2601.06810","title":"WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transport","created":"2026-01-11","cited_by_count":6,"area":"diffusion"},{"id":"2410.21107","title":"Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy","created":"2024-10-28","cited_by_count":5,"area":null},{"id":"2506.09007","title":"Branched Schr\\\"odinger Bridge Matching","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2507.11789","title":"Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation","created":"2025-07-15","cited_by_count":5,"area":null},{"id":"2508.07102","title":"Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria","created":"2025-08-09","cited_by_count":5,"area":"diffusion"},{"id":"2512.18184","title":"Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching","created":"2025-12-20","cited_by_count":5,"area":"diffusion"},{"id":"2605.08550","title":"A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots","created":"2026-05-08","cited_by_count":5,"area":null},{"id":"2410.15128","title":"Generalized Flow Matching for Transition Dynamics Modeling","created":"2024-10-19","cited_by_count":4,"area":"diffusion"},{"id":"2510.01159","title":"Multi-Marginal Flow Matching with Adversarially Learnt Interpolants","created":"2025-10-01","cited_by_count":4,"area":"diffusion"},{"id":"2410.01950","title":"Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows","created":"2024-10-02","cited_by_count":3,"area":null},{"id":"2503.19371","title":"Flow to Learn: Flow Matching on Neural Network Parameters","created":"2025-03-25","cited_by_count":3,"area":"diffusion"},{"id":"2504.10653","title":"On the Contractivity of Stochastic Interpolation Flow","created":"2025-04-14","cited_by_count":3,"area":"diffusion"},{"id":"2503.20719","title":"Learning Straight Flows by Learning Curved Interpolants","created":"2025-03-26","cited_by_count":2,"area":"diffusion"},{"id":"2510.02952","title":"ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data","created":"2025-10-03","cited_by_count":2,"area":"diffusion"},{"id":"2510.09685","title":"Deep Neural Networks Inspired by Differential Equations","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2511.05558","title":"Diversified Flow Matching with Translation Identifiability","created":"2025-11-04","cited_by_count":2,"area":"diffusion"},{"id":"2511.13786","title":"CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data","created":"2025-11-16","cited_by_count":2,"area":null},{"id":"2603.01010","title":"GeodesicNVS: Probability Density Geodesic Flow Matching for Novel View Synthesis","created":"2026-03-01","cited_by_count":2,"area":"diffusion"},{"id":"2603.16708","title":"Learning Lineage-guided Geodesics with Finsler Geometry","created":"2026-03-17","cited_by_count":2,"area":null},{"id":"2605.00545","title":"Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots","created":"2026-05-01","cited_by_count":2,"area":null},{"id":"2605.25294","title":"Geometry-Aware Image Flow Matching","created":"2026-05-24","cited_by_count":2,"area":"diffusion"},{"id":"2606.14334","title":"Riemannian Metric Matching for Scalable Geometric Modeling of Distributions","created":"2026-06-12","cited_by_count":2,"area":null},{"id":"2504.03188","title":"Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2505.17354","title":"CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2507.10623","title":"Flows and Diffusions on the Neural Manifold","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2507.17513","title":"HOTA: Hamiltonian framework for Optimal Transport Advection","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2510.02903","title":"Learning Explicit Single-Cell Dynamics Using ODE Representations","created":"2025-10-03","cited_by_count":1,"area":null},{"id":"2511.07406","title":"Entangled Schr\\\"odinger Bridge Matching","created":"2025-11-10","cited_by_count":1,"area":null},{"id":"2601.20606","title":"WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport","created":"2026-01-28","cited_by_count":1,"area":"diffusion"},{"id":"2602.02611","title":"Discovering Data Manifold Geometry through Geometric Properties","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2605.18587","title":"PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2605.25107","title":"Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems","created":"2026-05-24","cited_by_count":1,"area":null},{"id":"2605.30635","title":"CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2607.16987","title":"Twisted Schr\\\"odinger Bridge Matching","created":"2026-07-18","cited_by_count":1,"area":null},{"id":"2608.03916","title":"Trajectory inference via Acceleration Matching","created":"2026-08-04","cited_by_count":1,"area":null},{"id":"2608.21070","title":"TracingFlow: A Simulation-Free Trajectory Inference Framework Based on Second-Order Dynamics","created":"2026-08-21","cited_by_count":1,"area":null},{"id":"2608.29107","title":"PathGuide: Dynamic Classifier-Free Guidance via On-Policy Transport Alignment","created":"2026-08-29","cited_by_count":1,"area":null},{"id":"2410.09246","title":"DFM: Interpolant-free Dual Flow Matching","created":"2024-10-11","cited_by_count":0,"area":"diffusion"},{"id":"2506.15383","title":"Global Ground Metric Learning with Applications to scRNA data","created":"2025-06-18","cited_by_count":0,"area":null},{"id":"2506.15505","title":"Time-dependent density estimation using binary classifiers","created":"2025-06-18","cited_by_count":0,"area":null},{"id":"2509.25230","title":"Energy Guided Geometric Flow Matching","created":"2025-09-25","cited_by_count":0,"area":"diffusion"},{"id":"2510.01894","title":"Multi-marginal temporal Schr\\\"odinger Bridge Matching from unpaired data","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2510.12636","title":"Adapting Noise to Data: Generative Flows from 1D Processes","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2510.16587","title":"Multi-Marginal Schr\\\"odinger Bridge Matching","created":"2025-10-18","cited_by_count":0,"area":null},{"id":"2510.24736","title":"RNAGenScape: Property-Guided, Optimized Generation of mRNA Sequences with Manifold Langevin Dynamics","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2511.17616","title":"Tensor Gauge Flow Models","created":"2025-11-18","cited_by_count":0,"area":null},{"id":"2603.01771","title":"Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport","created":"2026-03-02","cited_by_count":0,"area":"deeprl"},{"id":"2604.04291","title":"Correcting Source Mismatch in Flow Matching with Radial-Angular Transport","created":"2026-04-05","cited_by_count":0,"area":"diffusion"},{"id":"2605.04965","title":"Reliable Modeling of Distribution Shifts via Displacement-Reshaped Optimal Transport","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2605.08648","title":"FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts","created":"2026-05-09","cited_by_count":0,"area":"diffusion"},{"id":"2606.05327","title":"Multimarginal flow matching with optimal transport potentials","created":"2026-06-03","cited_by_count":0,"area":"diffusion"},{"id":"2607.16894","title":"TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching","created":"2026-07-18","cited_by_count":0,"area":"diffusion"},{"id":"2609.04710","title":"Simulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.14171","title":"CyFM: Cylindrical Optimal Transport for Few-Step Complex-Valued Flow Matching","created":"2026-09-12","cited_by_count":0,"area":"diffusion"},{"id":"2609.34123","title":"What Does a Stream Model Buy You in Flow Matching?","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.34613","title":"Probabilistic Geodesic Flow Matching on Location-Scale Families","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.35454","title":"Manifold-Stable Flow Matching","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.35710","title":"Lagrangian--Hamiltonian Flows for Video Prediction and Image Generation: A Symplectic Perspective","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.36144","title":"Learning Continuous Patient Trajectories from Electronic Health Records","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2610.03679","title":"Simulation-Free Learning of Population Dynamics with Wasserstein Lagrangian Residuals","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.08717","title":"Co-Evolving Paths and Flows via Path-Flow Alignment","created":"2026-10-06","cited_by_count":0,"area":"diffusion"},{"id":"2610.19878","title":"Neural Wasserstein Splines: Representation-Invariant Second-Order Priors for Trajectory Inference","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}