STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation
Fuente:
arXiv
Saved in:
| Main Authors: | Brinke, Kiet Bennema ten, Minartz, Koen, Menkovski, Vlado |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
by: Minartz, Koen, et al.
Published: (2023)
by: Minartz, Koen, et al.
Published: (2023)
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
by: Poels, Yoeri, et al.
Published: (2024)
by: Poels, Yoeri, et al.
Published: (2024)
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
by: Timmer, Pol, et al.
Published: (2024)
by: Timmer, Pol, et al.
Published: (2024)
Understanding complex crowd dynamics with generative neural simulators
by: Minartz, Koen, et al.
Published: (2024)
by: Minartz, Koen, et al.
Published: (2024)
Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems
by: Hendriks, Fleur, et al.
Published: (2025)
by: Hendriks, Fleur, et al.
Published: (2025)
Deep Neural Cellular Potts Models
by: Minartz, Koen, et al.
Published: (2025)
by: Minartz, Koen, et al.
Published: (2025)
Score Matching on Large Geometric Graphs for Cosmology Generation
by: Onutu, Diana-Alexandra, et al.
Published: (2025)
by: Onutu, Diana-Alexandra, et al.
Published: (2025)
MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling
by: Zhang, Ronghui, et al.
Published: (2025)
by: Zhang, Ronghui, et al.
Published: (2025)
Towards Fully Automated Molecular Simulations: Multi-Agent Framework for Simulation Setup and Force Field Extraction
by: Petković, Marko, et al.
Published: (2025)
by: Petković, Marko, et al.
Published: (2025)
Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials
by: Hendriks, Fleur, et al.
Published: (2024)
by: Hendriks, Fleur, et al.
Published: (2024)
Energy Guided Geometric Flow Matching
by: Zweig, Aaron, et al.
Published: (2025)
by: Zweig, Aaron, et al.
Published: (2025)
LOREN: Low Rank-Based Code-Rate Adaptation in Neural Receivers
by: Van Bolderik, Bram, et al.
Published: (2026)
by: Van Bolderik, Bram, et al.
Published: (2026)
Driving Reaction Trajectories via Latent Flow Matching
by: Shen, Yili, et al.
Published: (2026)
by: Shen, Yili, et al.
Published: (2026)
Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
by: Grebe, Jonas Henry, et al.
Published: (2026)
by: Grebe, Jonas Henry, et al.
Published: (2026)
Topological degree as a discrete diagnostic for disentanglement, with applications to the $Δ$VAE
by: Ravelonanosy, Mahefa Ratsisetraina, et al.
Published: (2024)
by: Ravelonanosy, Mahefa Ratsisetraina, et al.
Published: (2024)
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
by: Zhang, Xi, et al.
Published: (2024)
by: Zhang, Xi, et al.
Published: (2024)
VADA: a Data-Driven Simulator for Nanopore Sequencing
by: Niederle, Jonas, et al.
Published: (2024)
by: Niederle, Jonas, et al.
Published: (2024)
EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching
by: Li, Ziyun, et al.
Published: (2025)
by: Li, Ziyun, et al.
Published: (2025)
Enhancing Adversarial Training via Reweighting Optimization Trajectory
by: Huang, Tianjin, et al.
Published: (2023)
by: Huang, Tianjin, et al.
Published: (2023)
Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition
by: Liu, Yunqing, et al.
Published: (2026)
by: Liu, Yunqing, et al.
Published: (2026)
Geometric Median (GM) Matching for Robust Data Pruning
by: Acharya, Anish, et al.
Published: (2024)
by: Acharya, Anish, et al.
Published: (2024)
Tokenised Flow Matching for Hierarchical Simulation Based Inference
by: Charles, Giovanni, et al.
Published: (2026)
by: Charles, Giovanni, et al.
Published: (2026)
Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
by: Carrasco-Pollo, Jorge, et al.
Published: (2026)
by: Carrasco-Pollo, Jorge, et al.
Published: (2026)
Longitudinal Flow Matching for Trajectory Modeling
by: Islam, Mohammad Mohaiminul, et al.
Published: (2025)
by: Islam, Mohammad Mohaiminul, et al.
Published: (2025)
TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
by: Li, Peiran, et al.
Published: (2026)
by: Li, Peiran, et al.
Published: (2026)
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
by: Kong, Lingkai, et al.
Published: (2025)
by: Kong, Lingkai, et al.
Published: (2025)
Diffusion and Flow Matching Models for Tabular Data: A Survey
by: Li, Zhong, et al.
Published: (2025)
by: Li, Zhong, et al.
Published: (2025)
Fisher Flow Matching for Generative Modeling over Discrete Data
by: Davis, Oscar, et al.
Published: (2024)
by: Davis, Oscar, et al.
Published: (2024)
Drift Flow Matching
by: Ma, Chenrui, et al.
Published: (2026)
by: Ma, Chenrui, et al.
Published: (2026)
Discrete Flow Matching
by: Gat, Itai, et al.
Published: (2024)
by: Gat, Itai, et al.
Published: (2024)
Edit Flows: Flow Matching with Edit Operations
by: Havasi, Marton, et al.
Published: (2025)
by: Havasi, Marton, et al.
Published: (2025)
"I May Not Have Articulated Myself Clearly": Diagnosing Dynamic Instability in LLM Reasoning at Inference Time
by: Chen, Jinkun, et al.
Published: (2026)
by: Chen, Jinkun, et al.
Published: (2026)
Flow Matching on General Geometries
by: Chen, Ricky T. Q., et al.
Published: (2023)
by: Chen, Ricky T. Q., et al.
Published: (2023)
Node Classification in Random Trees
by: Nuijten, Wouter W. L., et al.
Published: (2023)
by: Nuijten, Wouter W. L., et al.
Published: (2023)
Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
by: Monsefi, Amin Karimi, et al.
Published: (2026)
by: Monsefi, Amin Karimi, et al.
Published: (2026)
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?
by: Gao, Weiguo, et al.
Published: (2024)
by: Gao, Weiguo, et al.
Published: (2024)
ContinualFlow: Learning and Unlearning with Neural Flow Matching
by: Simone, Lorenzo, et al.
Published: (2025)
by: Simone, Lorenzo, et al.
Published: (2025)
Flow to Learn: Flow Matching on Neural Network Parameters
by: Saragih, Daniel, et al.
Published: (2025)
by: Saragih, Daniel, et al.
Published: (2025)
Pullback Flow Matching on Data Manifolds
by: de Kruiff, Friso, et al.
Published: (2024)
by: de Kruiff, Friso, et al.
Published: (2024)
Space Group Conditional Flow Matching
by: Puny, Omri, et al.
Published: (2025)
by: Puny, Omri, et al.
Published: (2025)
Similar Items
-
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
by: Minartz, Koen, et al.
Published: (2023) -
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
by: Poels, Yoeri, et al.
Published: (2024) -
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
by: Timmer, Pol, et al.
Published: (2024) -
Understanding complex crowd dynamics with generative neural simulators
by: Minartz, Koen, et al.
Published: (2024) -
Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems
by: Hendriks, Fleur, et al.
Published: (2025)