Cover Image

Discrete Adjoint Matching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	So, Oswin, Karrer, Brian, Fan, Chuchu, Chen, Ricky T. Q., Liu, Guan-Horng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
by: Domingo-Enrich, Carles, et al.
Published: (2024)

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
by: Havens, Aaron, et al.
Published: (2025)

Generalized Schrödinger Bridge Matching
by: Liu, Guan-Horng, et al.
Published: (2023)

Adjoint Schrödinger Bridge Sampler
by: Liu, Guan-Horng, et al.
Published: (2025)

Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
by: Zhang, Songyuan, et al.
Published: (2025)

Solving Minimum-Cost Reach Avoid using Reinforcement Learning
by: So, Oswin, et al.
Published: (2024)

Edit Flows: Flow Matching with Edit Operations
by: Havasi, Marton, et al.
Published: (2025)

Discrete Adjoint Schrödinger Bridge Sampler
by: Guo, Wei, et al.
Published: (2026)

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

Value Functions for Temporal Logic: Optimal Policies and Safety Filters
by: So, Oswin, et al.
Published: (2026)

Non-equilibrium Annealed Adjoint Sampler
by: Choi, Jaemoo, et al.
Published: (2025)

Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
by: Park, Byoungwoo, et al.
Published: (2025)

Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL
by: Zhang, Songyuan, et al.
Published: (2025)

Training-free Linear Image Inverses via Flows
by: Pokle, Ashwini, et al.
Published: (2023)

Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning
by: Wang, Allen M., et al.
Published: (2024)

Generator Matching: Generative modeling with arbitrary Markov processes
by: Holderrieth, Peter, et al.
Published: (2024)

Solving Parameter-Robust Avoid Problems with Unknown Feasibility using Reinforcement Learning
by: So, Oswin, et al.
Published: (2026)

Flow Matching Guide and Code
by: Lipman, Yaron, et al.
Published: (2024)

Flow Matching on General Geometries
by: Chen, Ricky T. Q., et al.
Published: (2023)

Discrete Flow Matching
by: Gat, Itai, et al.
Published: (2024)

GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models
by: Holderrieth, Peter, et al.
Published: (2025)

ReFORM: Reflected Flows for On-support Offline RL via Noise Manipulation
by: Zhang, Songyuan, et al.
Published: (2026)

Feedback Schrödinger Bridge Matching
by: Theodoropoulos, Panagiotis, et al.
Published: (2024)

Momentum Multi-Marginal Schrödinger Bridge Matching
by: Theodoropoulos, Panagiotis, et al.
Published: (2025)

Efficient Adjoint Matching for Fine-tuning Diffusion Models
by: Shin, Jeongwoo, et al.
Published: (2026)

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
by: Meng, Yue, et al.
Published: (2025)

Q-learning with Adjoint Matching
by: Li, Qiyang, et al.
Published: (2026)

Learning Distributions over Permutations and Rankings with Factorized Representations
by: Severo, Daniel, et al.
Published: (2025)

Trust Region Q Adjoint Matching
by: Dong, Yonghoon, et al.
Published: (2026)

Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming
by: Liu, Guan-Horng, et al.
Published: (2025)

Flow Sampling: Learning to Sample from Unnormalized Densities via Denoising Conditional Processes
by: Havens, Aaron, et al.
Published: (2026)

Stochastic Optimal Control Matching
by: Domingo-Enrich, Carles, et al.
Published: (2023)

Maximizing Reach-Avoid Probabilities for Linear Stochastic Systems via Control Architectures
by: Schmid, Niklas, et al.
Published: (2026)

GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
by: Zhang, Songyuan, et al.
Published: (2024)

Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning
by: Ghanem, Abdelghani, et al.
Published: (2026)

Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching
by: Feng, Shengyu, et al.
Published: (2026)

FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
by: Sriram, Anuroop, et al.
Published: (2024)

FlowMM: Generating Materials with Riemannian Flow Matching
by: Miller, Benjamin Kurt, et al.
Published: (2024)

Discrete Tilt Matching
by: Chen, Yuyuan, et al.
Published: (2026)

Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games
by: Liu, Guan-Horng, et al.
Published: (2024)