Training-Free Constrained Generation With Stable Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zampini, Stefano, Christopher, Jacob K., Oneto, Luca, Anguita, Davide, Fioretto, Ferdinando |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Constrained Synthesis with Projected Diffusion Models
by: Christopher, Jacob K, et al.
Published: (2024)
by: Christopher, Jacob K, et al.
Published: (2024)
Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling
by: Christopher, Jacob K., et al.
Published: (2026)
by: Christopher, Jacob K., et al.
Published: (2026)
Constrained Discrete Diffusion
by: Cardei, Michael, et al.
Published: (2025)
by: Cardei, Michael, et al.
Published: (2025)
Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
by: Christopher, Jacob K., et al.
Published: (2025)
by: Christopher, Jacob K., et al.
Published: (2025)
Constrained Diffusion for Protein Design with Hard Structural Constraints
by: Christopher, Jacob K., et al.
Published: (2025)
by: Christopher, Jacob K., et al.
Published: (2025)
Search-Augmented Masked Diffusion Models for Constrained Generation
by: Ta, Huu Binh, et al.
Published: (2026)
by: Ta, Huu Binh, et al.
Published: (2026)
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2025)
by: Liang, Jinhao, et al.
Published: (2025)
Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2024)
by: Liang, Jinhao, et al.
Published: (2024)
Constrained Diffusion for Accelerated Structure Relaxation of Inorganic Solids with Point Defects
by: Cui, Jingyi, et al.
Published: (2026)
by: Cui, Jingyi, et al.
Published: (2026)
Learning Constrained Optimization with Deep Augmented Lagrangian Methods
by: Kotary, James, et al.
Published: (2024)
by: Kotary, James, et al.
Published: (2024)
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
by: Angioni, Daniele, et al.
Published: (2024)
by: Angioni, Daniele, et al.
Published: (2024)
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
by: Christopher, Jacob K, et al.
Published: (2024)
by: Christopher, Jacob K, et al.
Published: (2024)
Simple Self-Conditioning Adaptation for Masked Diffusion Models
by: Cardei, Michael, et al.
Published: (2026)
by: Cardei, Michael, et al.
Published: (2026)
Learning to Solve Optimization Problems Constrained with Partial Differential Equations
by: Guven, Yusuf, et al.
Published: (2025)
by: Guven, Yusuf, et al.
Published: (2025)
Learning To Solve Differential Equation Constrained Optimization Problems
by: Di Vito, Vincenzo, et al.
Published: (2024)
by: Di Vito, Vincenzo, et al.
Published: (2024)
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
by: Kotary, James, et al.
Published: (2023)
by: Kotary, James, et al.
Published: (2023)
Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2026)
by: Liang, Jinhao, et al.
Published: (2026)
Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)
by: Liang, Jinhao, et al.
Published: (2025)
Learning Joint Models of Prediction and Optimization
by: Kotary, James, et al.
Published: (2024)
by: Kotary, James, et al.
Published: (2024)
Learning to Solve Constrained Bilevel Control Co-Design Problems
by: Kotary, James, et al.
Published: (2025)
by: Kotary, James, et al.
Published: (2025)
Disparate Impact on Group Accuracy of Linearization for Private Inference
by: Das, Saswat, et al.
Published: (2024)
by: Das, Saswat, et al.
Published: (2024)
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
by: Chen, Shuyi, et al.
Published: (2025)
by: Chen, Shuyi, et al.
Published: (2025)
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming
by: King, Ethan, et al.
Published: (2024)
by: King, Ethan, et al.
Published: (2024)
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
by: Wang, Prince Zizhuang, et al.
Published: (2025)
by: Wang, Prince Zizhuang, et al.
Published: (2025)
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
by: Fioretto, Ferdinando, et al.
Published: (2024)
by: Fioretto, Ferdinando, et al.
Published: (2024)
Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation
by: Liang, Jinhao, et al.
Published: (2025)
by: Liang, Jinhao, et al.
Published: (2025)
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024)
by: Dinh, My H., et al.
Published: (2024)
Decision Making with Differential Privacy under a Fairness Lens
by: Fioretto, Ferdinando, et al.
Published: (2021)
by: Fioretto, Ferdinando, et al.
Published: (2021)
The Data Minimization Principle in Machine Learning
by: Ganesh, Prakhar, et al.
Published: (2024)
by: Ganesh, Prakhar, et al.
Published: (2024)
Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity
by: Stoppani, Leonardo, et al.
Published: (2026)
by: Stoppani, Leonardo, et al.
Published: (2026)
TFG: Unified Training-Free Guidance for Diffusion Models
by: Ye, Haotian, et al.
Published: (2024)
by: Ye, Haotian, et al.
Published: (2024)
Biased Generalization in Diffusion Models
by: Garnier-Brun, Jerome, et al.
Published: (2026)
by: Garnier-Brun, Jerome, et al.
Published: (2026)
Drift Flow Matching
by: Ma, Chenrui, et al.
Published: (2026)
by: Ma, Chenrui, et al.
Published: (2026)
Constrained Code Generation with Discrete Diffusion
by: Shao, Lize, et al.
Published: (2026)
by: Shao, Lize, et al.
Published: (2026)
Constrained Generative Modeling with Manually Bridged Diffusion Models
by: Naderiparizi, Saeid, et al.
Published: (2025)
by: Naderiparizi, Saeid, et al.
Published: (2025)
SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding
by: Sandler, Jameson, et al.
Published: (2025)
by: Sandler, Jameson, et al.
Published: (2025)
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation
by: Kerby, Thomas J., et al.
Published: (2024)
by: Kerby, Thomas J., et al.
Published: (2024)
On The Fairness Impacts of Hardware Selection in Machine Learning
by: Nelaturu, Sree Harsha, et al.
Published: (2023)
by: Nelaturu, Sree Harsha, et al.
Published: (2023)
Low-rank finetuning for LLMs: A fairness perspective
by: Das, Saswat, et al.
Published: (2024)
by: Das, Saswat, et al.
Published: (2024)
End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)
by: Dinh, My H, et al.
Published: (2024)
Similar Items
-
Constrained Synthesis with Projected Diffusion Models
by: Christopher, Jacob K, et al.
Published: (2024) -
Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling
by: Christopher, Jacob K., et al.
Published: (2026) -
Constrained Discrete Diffusion
by: Cardei, Michael, et al.
Published: (2025) -
Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
by: Christopher, Jacob K., et al.
Published: (2025) -
Constrained Diffusion for Protein Design with Hard Structural Constraints
by: Christopher, Jacob K., et al.
Published: (2025)