Copertina

Lagrangian Flow Matching: A Least-Action Framework for Principled Path Design

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Du, Shukai, Zhang, Junzhe, Li, Yiming
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PER-DPP Sampling Framework and Its Application in Path Planning
di: Wang, Junzhe
Pubblicazione: (2025)

Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
di: Lim, Soon Hoe, et al.
Pubblicazione: (2024)

Path Gradients after Flow Matching
di: Vaitl, Lorenz, et al.
Pubblicazione: (2025)

Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning
di: Quantiota, Bouarfa Mahi
Pubblicazione: (2025)

Path-Guided Flow Matching for Dataset Distillation
di: Li, Xuhui, et al.
Pubblicazione: (2026)

Flow Matching with Arbitrary Auxiliary Paths
di: Peng, Xin, et al.
Pubblicazione: (2026)

Path-independent Flow Matching for Multi-parameter Generative Dynamics
di: Téllez, Francisco, et al.
Pubblicazione: (2026)

STRIDE: Structured Lagrangian and Stochastic Residual Dynamics via Flow Matching
di: Kotecha, Prakrut, et al.
Pubblicazione: (2026)

Flow Matching for Offline Reinforcement Learning with Discrete Actions
di: Khan, Fairoz Nower, et al.
Pubblicazione: (2026)

Balancing Symmetry and Efficiency in Graph Flow Matching
di: Honoré, Benjamin, et al.
Pubblicazione: (2026)

Causal Flow Q-Learning for Robust Offline Reinforcement Learning
di: Li, Mingxuan, et al.
Pubblicazione: (2026)

A Physical Theory of Backpropagation: Exact Gradients from the Least-Action Principle
di: Scurria, Antonino Emanuele
Pubblicazione: (2026)

A Computational Framework for Solving Wasserstein Lagrangian Flows
di: Neklyudov, Kirill, et al.
Pubblicazione: (2023)

DeFoG: Discrete Flow Matching for Graph Generation
di: Qin, Yiming, et al.
Pubblicazione: (2024)

$α$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models
di: Cheng, Chaoran, et al.
Pubblicazione: (2025)

EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching
di: Li, Ziyun, et al.
Pubblicazione: (2025)

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
di: Shaul, Neta, et al.
Pubblicazione: (2024)

Using the Path of Least Resistance to Explain Deep Networks
di: Salek, Sina, et al.
Pubblicazione: (2025)

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
di: Lyu, Mingyang, et al.
Pubblicazione: (2025)

A Unified Framework for Diffusion Bridge Problems: Flow Matching and Schrödinger Matching into One
di: Kim, Minyoung
Pubblicazione: (2025)

Reflected Flow Matching
di: Xie, Tianyu, et al.
Pubblicazione: (2024)

Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action
di: Sun, Yuhao, et al.
Pubblicazione: (2025)

FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation
di: Dai, Yilong, et al.
Pubblicazione: (2026)

A Principled Path to Fitted Distributional Evaluation
di: Hong, Sungee, et al.
Pubblicazione: (2025)

PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
di: Chen, Ruishuo, et al.
Pubblicazione: (2026)

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies
di: Li, Zeyang, et al.
Pubblicazione: (2026)

Conditional Lagrangian Wasserstein Flow for Time Series Imputation
di: Qian, Weizhu, et al.
Pubblicazione: (2024)

Causal discovery for linear causal model with correlated noise: an Adversarial Learning Approach
di: Zhou, Mujin, et al.
Pubblicazione: (2026)

Generative Inverse Design with Abstention via Diagonal Flow Matching
di: de Campos, Miguel, et al.
Pubblicazione: (2026)

Generating Highly Designable Proteins with Geometric Algebra Flow Matching
di: Wagner, Simon, et al.
Pubblicazione: (2024)

PPFlow: Target-aware Peptide Design with Torsional Flow Matching
di: Lin, Haitao, et al.
Pubblicazione: (2024)

Dirichlet Flow Matching with Applications to DNA Sequence Design
di: Stark, Hannes, et al.
Pubblicazione: (2024)

THFlow: A Temporally Hierarchical Flow Matching Framework for 3D Peptide Design
di: Huang, Dengdeng, et al.
Pubblicazione: (2025)

Modeling Inverse Ellipsometry Problem via Flow Matching with a Large-Scale Dataset
di: Ma, Yiming, et al.
Pubblicazione: (2024)

Structured Coupling for Flow Matching
di: Sumba, Xavier, et al.
Pubblicazione: (2026)

Minimal-Action Discrete Schrödinger Bridge Matching for Peptide Sequence Design
di: Goel, Shrey, et al.
Pubblicazione: (2026)

Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications
di: Ryzhakov, Gleb, et al.
Pubblicazione: (2024)

Multi-Objective-Guided Discrete Flow Matching for Controllable Biological Sequence Design
di: Chen, Tong, et al.
Pubblicazione: (2025)

JAX-MPM: A Learning-Augmented Differentiable Meshfree Framework for GPU-Accelerated Lagrangian Simulation and Geophysical Inverse Modeling
di: Du, Honghui, et al.
Pubblicazione: (2025)

Flow Matching with Semidiscrete Couplings
di: Mousavi-Hosseini, Alireza, et al.
Pubblicazione: (2025)