Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Blessing, Denis, Berner, Julius, Richter, Lorenz, Domingo-Enrich, Carles, Du, Yuanqi, Vahdat, Arash, Neumann, Gerhard |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Underdamped Diffusion Bridges with Applications to Sampling
by: Blessing, Denis, et al.
Published: (2025)
by: Blessing, Denis, et al.
Published: (2025)
Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching
by: Blessing, Denis, et al.
Published: (2026)
by: Blessing, Denis, et al.
Published: (2026)
A Taxonomy of Loss Functions for Stochastic Optimal Control
by: Domingo-Enrich, Carles
Published: (2024)
by: Domingo-Enrich, Carles
Published: (2024)
Sequential Controlled Langevin Diffusions
by: Chen, Junhua, et al.
Published: (2024)
by: Chen, Junhua, et al.
Published: (2024)
Rare Event Analysis via Stochastic Optimal Control
by: Du, Yuanqi, et al.
Published: (2026)
by: Du, Yuanqi, et al.
Published: (2026)
A unified perspective on fine-tuning and sampling with diffusion and flow models
by: Domingo-Enrich, Carles, et al.
Published: (2026)
by: Domingo-Enrich, Carles, et al.
Published: (2026)
Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control
by: Domingo-Enrich, Carles, et al.
Published: (2026)
by: Domingo-Enrich, Carles, et al.
Published: (2026)
Improved sampling via learned diffusions
by: Richter, Lorenz, et al.
Published: (2023)
by: Richter, Lorenz, et al.
Published: (2023)
Neural Optimal Transport with Lagrangian Costs
by: Pooladian, Aram-Alexandre, et al.
Published: (2024)
by: Pooladian, Aram-Alexandre, et al.
Published: (2024)
Stochastic Optimal Control Matching
by: Domingo-Enrich, Carles, et al.
Published: (2023)
by: Domingo-Enrich, Carles, et al.
Published: (2023)
Learning Boltzmann Generators via Constrained Mass Transport
by: von Klitzing, Christopher, et al.
Published: (2025)
by: von Klitzing, Christopher, et al.
Published: (2025)
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)
Free energy Estimation on Any State Space
by: He, Jiajun, et al.
Published: (2026)
by: He, Jiajun, et al.
Published: (2026)
An optimal control perspective on diffusion-based generative modeling
by: Berner, Julius, et al.
Published: (2022)
by: Berner, Julius, et al.
Published: (2022)
Dynamical Measure Transport and Neural PDE Solvers for Sampling
by: Sun, Jingtong, et al.
Published: (2024)
by: Sun, Jingtong, et al.
Published: (2024)
Transition Matching Distillation for Fast Video Generation
by: Nie, Weili, et al.
Published: (2026)
by: Nie, Weili, et al.
Published: (2026)
Cheap Permutation Testing
by: Domingo-Enrich, Carles, et al.
Published: (2025)
by: Domingo-Enrich, Carles, et al.
Published: (2025)
Compress Then Test: Powerful Kernel Testing in Near-linear Time
by: Domingo-Enrich, Carles, et al.
Published: (2023)
by: Domingo-Enrich, Carles, et al.
Published: (2023)
End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler
by: Blessing, Denis, et al.
Published: (2025)
by: Blessing, Denis, et al.
Published: (2025)
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
by: Vargas, Francisco, et al.
Published: (2023)
by: Vargas, Francisco, et al.
Published: (2023)
Not-So-Optimal Transport Flows for 3D Point Cloud Generation
by: Hui, Ka-Hei, et al.
Published: (2025)
by: Hui, Ka-Hei, et al.
Published: (2025)
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
by: Berner, Julius, et al.
Published: (2025)
by: Berner, Julius, et al.
Published: (2025)
Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference
by: Golowich, Noah, et al.
Published: (2026)
by: Golowich, Noah, et al.
Published: (2026)
On Equivariance and Fast Sampling in Video Diffusion Models Trained with Warped Noise
by: Liu, Chao, et al.
Published: (2025)
by: Liu, Chao, et al.
Published: (2025)
Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models
by: Bergmeister, Andreas, et al.
Published: (2026)
by: Bergmeister, Andreas, et al.
Published: (2026)
Conditioning Diffusions Using Malliavin Calculus
by: Pidstrigach, Jakiw, et al.
Published: (2025)
by: Pidstrigach, Jakiw, et al.
Published: (2025)
MaNGO - Adaptable Graph Network Simulators via Meta-Learning
by: Dahlinger, Philipp, et al.
Published: (2025)
by: Dahlinger, Philipp, et al.
Published: (2025)
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
by: Blessing, Denis, et al.
Published: (2024)
by: Blessing, Denis, et al.
Published: (2024)
Value Gradient Guidance for Flow Matching Alignment
by: Liu, Zhen, et al.
Published: (2025)
by: Liu, Zhen, et al.
Published: (2025)
Towards deep learning sequence-structure co-generation for protein design
by: Wang, Chentong, et al.
Published: (2024)
by: Wang, Chentong, et al.
Published: (2024)
Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions
by: Perera, Kokila Kasuni, et al.
Published: (2025)
by: Perera, Kokila Kasuni, et al.
Published: (2025)
TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
by: Becker, Philipp, et al.
Published: (2025)
by: Becker, Philipp, et al.
Published: (2025)
One-step Diffusion Models with $f$-Divergence Distribution Matching
by: Xu, Yilun, et al.
Published: (2025)
by: Xu, Yilun, et al.
Published: (2025)
Fast and Unified Path Gradient Estimators for Normalizing Flows
by: Vaitl, Lorenz, et al.
Published: (2024)
by: Vaitl, Lorenz, et al.
Published: (2024)
Generative Stochastic Optimal Transport: Guided Harmonic Path-Integral Diffusion
by: Chertkov, Michael
Published: (2025)
by: Chertkov, Michael
Published: (2025)
Mode Seeking meets Mean Seeking for Fast Long Video Generation
by: Cai, Shengqu, et al.
Published: (2026)
by: Cai, Shengqu, et al.
Published: (2026)
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
by: Fang, Yuchen, et al.
Published: (2022)
by: Fang, Yuchen, et al.
Published: (2022)
Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models
by: Jelassi, Samy, et al.
Published: (2026)
by: Jelassi, Samy, et al.
Published: (2026)
Any-Order Flexible Length Masked Diffusion
by: Kim, Jaeyeon, et al.
Published: (2025)
by: Kim, Jaeyeon, et al.
Published: (2025)
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models
by: Jena, Rohit, et al.
Published: (2024)
by: Jena, Rohit, et al.
Published: (2024)
Similar Items
-
Underdamped Diffusion Bridges with Applications to Sampling
by: Blessing, Denis, et al.
Published: (2025) -
Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching
by: Blessing, Denis, et al.
Published: (2026) -
A Taxonomy of Loss Functions for Stochastic Optimal Control
by: Domingo-Enrich, Carles
Published: (2024) -
Sequential Controlled Langevin Diffusions
by: Chen, Junhua, et al.
Published: (2024) -
Rare Event Analysis via Stochastic Optimal Control
by: Du, Yuanqi, et al.
Published: (2026)