Efficient Adjoint Matching for Fine-tuning Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Shin, Jeongwoo, Shin, Dongsoo, Zhu, Yuchen, Guo, Wei, Chen, Yongxin, Lee, Joonseok, Choi, Jaewoong, Choi, Jaemoo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
by: Shin, Jeongwoo, et al.
Published: (2026)
by: Shin, Jeongwoo, et al.
Published: (2026)
Improving Neural Optimal Transport via Displacement Interpolation
by: Choi, Jaemoo, et al.
Published: (2024)
by: Choi, Jaemoo, et al.
Published: (2024)
Scalable Simulation-free Entropic Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024)
by: Choi, Jaemoo, et al.
Published: (2024)
Proximal Diffusion Neural Sampler
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning
by: Lee, Doyeon, et al.
Published: (2026)
by: Lee, Doyeon, et al.
Published: (2026)
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
by: Zhu, Yuchen, et al.
Published: (2025)
by: Zhu, Yuchen, et al.
Published: (2025)
Non-equilibrium Annealed Adjoint Sampler
by: Choi, Jaemoo, et al.
Published: (2025)
by: Choi, Jaemoo, et al.
Published: (2025)
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
by: Choi, Jaemoo, et al.
Published: (2025)
by: Choi, Jaemoo, et al.
Published: (2025)
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2023)
by: Choi, Jaemoo, et al.
Published: (2023)
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024)
by: Choi, Jaemoo, et al.
Published: (2024)
Discrete Adjoint Schrödinger Bridge Sampler
by: Guo, Wei, et al.
Published: (2026)
by: Guo, Wei, et al.
Published: (2026)
Equivariant Latent Alignment via Flow Matching under Group Symmetries
by: Kim, Sunghyun, et al.
Published: (2026)
by: Kim, Sunghyun, et al.
Published: (2026)
Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
by: Park, Byoungwoo, et al.
Published: (2026)
by: Park, Byoungwoo, et al.
Published: (2026)
Analyzing and Improving Optimal-Transport-based Adversarial Networks
by: Choi, Jaemoo, et al.
Published: (2023)
by: Choi, Jaemoo, et al.
Published: (2023)
Adjoint Schrödinger Bridge Sampler
by: Liu, Guan-Horng, et al.
Published: (2025)
by: Liu, Guan-Horng, et al.
Published: (2025)
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
by: Zhu, Yuchen, et al.
Published: (2025)
by: Zhu, Yuchen, et al.
Published: (2025)
Latent Diffusion Models with Masked AutoEncoders
by: Lee, Junho, et al.
Published: (2025)
by: Lee, Junho, et al.
Published: (2025)
Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
by: Choi, Jaemoo, et al.
Published: (2026)
by: Choi, Jaemoo, et al.
Published: (2026)
RMA: an Agentic System for Research-Level Mathematical Problems
by: Zhao, Zelin, et al.
Published: (2026)
by: Zhao, Zelin, et al.
Published: (2026)
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
by: Domingo-Enrich, Carles, et al.
Published: (2024)
by: Domingo-Enrich, Carles, et al.
Published: (2024)
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
by: Gazdieva, Milena, et al.
Published: (2024)
by: Gazdieva, Milena, et al.
Published: (2024)
MFM-point: Multi-scale Flow Matching for Point Cloud Generation
by: Molodyk, Petr, et al.
Published: (2025)
by: Molodyk, Petr, et al.
Published: (2025)
Trust Region Q Adjoint Matching
by: Dong, Yonghoon, et al.
Published: (2026)
by: Dong, Yonghoon, et al.
Published: (2026)
UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems
by: Lee, Donggyu, et al.
Published: (2026)
by: Lee, Donggyu, et al.
Published: (2026)
Reweighted Flow Matching via Unbalanced OT for Label-free Long-tailed Generation
by: Song, Hyunsoo, et al.
Published: (2025)
by: Song, Hyunsoo, et al.
Published: (2025)
Conditional Unbalanced Optimal Transport Maps: An Outlier-Robust Framework for Conditional Generative Modeling
by: Yoon, Jiwoo, et al.
Published: (2026)
by: Yoon, Jiwoo, et al.
Published: (2026)
Plug-and-Play Controllable Generation for Discrete Masked Models
by: Guo, Wei, et al.
Published: (2024)
by: Guo, Wei, et al.
Published: (2024)
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
by: Havens, Aaron, et al.
Published: (2025)
by: Havens, Aaron, et al.
Published: (2025)
Discrete Adjoint Matching
by: So, Oswin, et al.
Published: (2026)
by: So, Oswin, et al.
Published: (2026)
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport
by: Lee, Taekyung, et al.
Published: (2024)
by: Lee, Taekyung, et al.
Published: (2024)
Generalized Schrödinger Bridge on Graphs
by: Theodoropoulos, Panagiotis, et al.
Published: (2026)
by: Theodoropoulos, Panagiotis, et al.
Published: (2026)
Relational Feature Caching for Accelerating Diffusion Transformers
by: Son, Byunggwan, et al.
Published: (2026)
by: Son, Byunggwan, et al.
Published: (2026)
Rate-Optimal Noise Annealing in Semi-Dual Neural Optimal Transport: Tangential Identifiability, Off-Manifold Ambiguity, and Guaranteed Recovery
by: Chu, Raymond, et al.
Published: (2026)
by: Chu, Raymond, et al.
Published: (2026)
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
by: Kim, Kyuyoung, et al.
Published: (2024)
by: Kim, Kyuyoung, et al.
Published: (2024)
Neural Optimal Transport in Hilbert Spaces: Characterizing Spurious Solutions and Gaussian Smoothing
by: Choi, Jae-Hwan, et al.
Published: (2026)
by: Choi, Jae-Hwan, et al.
Published: (2026)
Self-Guided Masked Autoencoder
by: Shin, Jeongwoo, et al.
Published: (2025)
by: Shin, Jeongwoo, et al.
Published: (2025)
Adversarial Robustification via Text-to-Image Diffusion Models
by: Choi, Daewon, et al.
Published: (2024)
by: Choi, Daewon, et al.
Published: (2024)
Dynamic technology impact analysis: A multi-task learning approach to patent citation prediction
by: Seol, Youngjin, et al.
Published: (2024)
by: Seol, Youngjin, et al.
Published: (2024)
Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
by: Lee, Jeongjae, et al.
Published: (2026)
by: Lee, Jeongjae, et al.
Published: (2026)
Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching
by: Feng, Shengyu, et al.
Published: (2026)
by: Feng, Shengyu, et al.
Published: (2026)
Similar Items
-
Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
by: Shin, Jeongwoo, et al.
Published: (2026) -
Improving Neural Optimal Transport via Displacement Interpolation
by: Choi, Jaemoo, et al.
Published: (2024) -
Scalable Simulation-free Entropic Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024) -
Proximal Diffusion Neural Sampler
by: Guo, Wei, et al.
Published: (2025) -
QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning
by: Lee, Doyeon, et al.
Published: (2026)