Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | De Santi, Riccardo, Vlastelica, Marin, Hsieh, Ya-Ping, Shen, Zebang, He, Niao, Krause, Andreas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Provable Maximum Entropy Manifold Exploration via Diffusion Models
by: De Santi, Riccardo, et al.
Published: (2025)
by: De Santi, Riccardo, et al.
Published: (2025)
Manifold Generalization Provably Proceeds Memorization in Diffusion Models
by: Shen, Zebang, et al.
Published: (2026)
by: Shen, Zebang, et al.
Published: (2026)
A Unified Density Operator View of Flow Control and Merging
by: De Santi, Riccardo, et al.
Published: (2026)
by: De Santi, Riccardo, et al.
Published: (2026)
Verifier-Constrained Flow Expansion for Discovery Beyond the Data
by: De Santi, Riccardo, et al.
Published: (2026)
by: De Santi, Riccardo, et al.
Published: (2026)
When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Landing with the Score: Riemannian Optimization through Denoising
by: Kharitenko, Andrey, et al.
Published: (2025)
by: Kharitenko, Andrey, et al.
Published: (2025)
Constrained Flow Optimization via Sequential Fine Tuning for Molecular Design
by: Gutjahr, Sven, et al.
Published: (2026)
by: Gutjahr, Sven, et al.
Published: (2026)
Support Before Frequency in Discrete Diffusion
by: Müller, Adrian, et al.
Published: (2026)
by: Müller, Adrian, et al.
Published: (2026)
Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning
by: Wang, Zifan, et al.
Published: (2026)
by: Wang, Zifan, et al.
Published: (2026)
A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
by: Claeys, Louis, et al.
Published: (2026)
by: Claeys, Louis, et al.
Published: (2026)
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
by: De Santi, Riccardo, et al.
Published: (2024)
by: De Santi, Riccardo, et al.
Published: (2024)
Poincaré Inequality for Local Log-Polyak-Lojasiewicz Measures : Non-asymptotic Analysis in Low-temperature Regime
by: Gong, Yun, et al.
Published: (2025)
by: Gong, Yun, et al.
Published: (2025)
Optimistic Task Inference for Behavior Foundation Models
by: Rupf, Thomas, et al.
Published: (2025)
by: Rupf, Thomas, et al.
Published: (2025)
A Hessian-Aware Stochastic Differential Equation for Modelling SGD
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
On the Connectedness of Sublevel Sets in Invex Optimization
by: Thoma, Vinzenz, et al.
Published: (2026)
by: Thoma, Vinzenz, et al.
Published: (2026)
Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
by: Cayci, Semih, et al.
Published: (2021)
by: Cayci, Semih, et al.
Published: (2021)
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
by: Huang, Jiawei, et al.
Published: (2024)
by: Huang, Jiawei, et al.
Published: (2024)
Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
by: Corecco, Nathan, et al.
Published: (2025)
by: Corecco, Nathan, et al.
Published: (2025)
Poincare Inequality for Local Log-Polyak-Łojasiewicz Measures: Non-asymptotic Analysis in Low-temperature Regime
by: Gong, Yun, et al.
Published: (2024)
by: Gong, Yun, et al.
Published: (2024)
Superquantile-Gibbs Relaxation for Minima-selection in Bilevel Optimization
by: Masiha, Saeed, et al.
Published: (2025)
by: Masiha, Saeed, et al.
Published: (2025)
Efficient Personalization of Generative Models via Optimal Experimental Design
by: Schacht, Guy, et al.
Published: (2025)
by: Schacht, Guy, et al.
Published: (2025)
Learning to Steer Markovian Agents under Model Uncertainty
by: Huang, Jiawei, et al.
Published: (2024)
by: Huang, Jiawei, et al.
Published: (2024)
Select-then-differentiate: Solving Bilevel Optimization with Manifold Lower-level Solution Sets
by: Masiha, Saeed, et al.
Published: (2026)
by: Masiha, Saeed, et al.
Published: (2026)
A Dynamical System View of Langevin-Based Non-Convex Sampling
by: Karimi, Mohammad Reza, et al.
Published: (2022)
by: Karimi, Mohammad Reza, et al.
Published: (2022)
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
by: Uehara, Masatoshi, et al.
Published: (2024)
by: Uehara, Masatoshi, et al.
Published: (2024)
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
by: Li, Bingcong, et al.
Published: (2024)
by: Li, Bingcong, et al.
Published: (2024)
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
by: De Santi, Riccardo, et al.
Published: (2024)
by: De Santi, Riccardo, et al.
Published: (2024)
DPZero: Private Fine-Tuning of Language Models without Backpropagation
by: Zhang, Liang, et al.
Published: (2023)
by: Zhang, Liang, et al.
Published: (2023)
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
by: Kolev, Pavel, et al.
Published: (2025)
by: Kolev, Pavel, et al.
Published: (2025)
Active Fine-Tuning of Multi-Task Policies
by: Bagatella, Marco, et al.
Published: (2024)
by: Bagatella, Marco, et al.
Published: (2024)
Active Few-Shot Fine-Tuning
by: Hübotter, Jonas, et al.
Published: (2024)
by: Hübotter, Jonas, et al.
Published: (2024)
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
by: Fan, Jiajun, et al.
Published: (2025)
by: Fan, Jiajun, et al.
Published: (2025)
Generative Flow Networks as Entropy-Regularized RL
by: Tiapkin, Daniil, et al.
Published: (2023)
by: Tiapkin, Daniil, et al.
Published: (2023)
Muown: Row-Norm Control for Muon Optimization
by: Lion, Kai, et al.
Published: (2026)
by: Lion, Kai, et al.
Published: (2026)
Optimizing Rank-based Metrics with Blackbox Differentiation
by: Rolínek, Michal, et al.
Published: (2019)
by: Rolínek, Michal, et al.
Published: (2019)
Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control
by: Zhang, Jiazheng, et al.
Published: (2026)
by: Zhang, Jiazheng, et al.
Published: (2026)
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
by: Hübotter, Jonas, et al.
Published: (2024)
by: Hübotter, Jonas, et al.
Published: (2024)
Thompson Sampling via Fine-Tuning of LLMs
by: Menet, Nicolas, et al.
Published: (2025)
by: Menet, Nicolas, et al.
Published: (2025)
Global Optimality for Constrained Exploration via Penalty Regularization
by: Wolf, Florian, et al.
Published: (2026)
by: Wolf, Florian, et al.
Published: (2026)
Offline Diversity Maximization Under Imitation Constraints
by: Vlastelica, Marin, et al.
Published: (2023)
by: Vlastelica, Marin, et al.
Published: (2023)
Similar Items
-
Provable Maximum Entropy Manifold Exploration via Diffusion Models
by: De Santi, Riccardo, et al.
Published: (2025) -
Manifold Generalization Provably Proceeds Memorization in Diffusion Models
by: Shen, Zebang, et al.
Published: (2026) -
A Unified Density Operator View of Flow Control and Merging
by: De Santi, Riccardo, et al.
Published: (2026) -
Verifier-Constrained Flow Expansion for Discovery Beyond the Data
by: De Santi, Riccardo, et al.
Published: (2026) -
When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis
by: Li, Xiang, et al.
Published: (2025)