Image de couverture de livre

Search-Augmented Masked Diffusion Models for Constrained Generation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ta, Huu Binh, Cardei, Michael, Velasquez, Alvaro, Fioretto, Ferdinando
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Simple Self-Conditioning Adaptation for Masked Diffusion Models
par: Cardei, Michael, et autres
Publié: (2026)

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
par: Christopher, Jacob K., et autres
Publié: (2025)

Constrained Synthesis with Projected Diffusion Models
par: Christopher, Jacob K, et autres
Publié: (2024)

Constrained Discrete Diffusion
par: Cardei, Michael, et autres
Publié: (2025)

Constrained Diffusion for Protein Design with Hard Structural Constraints
par: Christopher, Jacob K., et autres
Publié: (2025)

Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
par: Liang, Jinhao, et autres
Publié: (2026)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
par: Liang, Jinhao, et autres
Publié: (2025)

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
par: Liang, Jinhao, et autres
Publié: (2025)

Constrained Diffusion for Accelerated Structure Relaxation of Inorganic Solids with Point Defects
par: Cui, Jingyi, et autres
Publié: (2026)

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models
par: Liang, Jinhao, et autres
Publié: (2024)

Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation
par: Liang, Jinhao, et autres
Publié: (2025)

Learning Constrained Optimization with Deep Augmented Lagrangian Methods
par: Kotary, James, et autres
Publié: (2024)

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
par: Dinh, My H., et autres
Publié: (2024)

Decision Making with Differential Privacy under a Fairness Lens
par: Fioretto, Ferdinando, et autres
Publié: (2021)

Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
par: Fioretto, Ferdinando, et autres
Publié: (2024)

The Data Minimization Principle in Machine Learning
par: Ganesh, Prakhar, et autres
Publié: (2024)

Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
par: Christopher, Jacob K, et autres
Publié: (2024)

Drift Flow Matching
par: Ma, Chenrui, et autres
Publié: (2026)

Training-Free Constrained Generation With Stable Diffusion Models
par: Zampini, Stefano, et autres
Publié: (2025)

Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models
par: Kim, Jaemin, et autres
Publié: (2026)

Constrained Code Generation with Discrete Diffusion
par: Shao, Lize, et autres
Publié: (2026)

On The Fairness Impacts of Hardware Selection in Machine Learning
par: Nelaturu, Sree Harsha, et autres
Publié: (2023)

Low-rank finetuning for LLMs: A fairness perspective
par: Das, Saswat, et autres
Publié: (2024)

End-to-End Optimization and Learning of Fair Court Schedules
par: Dinh, My H, et autres
Publié: (2024)

Masked Diffusion Modeling for Anomaly Detection
par: Zhang, Lixing, et autres
Publié: (2026)

Soft-Masked Diffusion Language Models
par: Hersche, Michael, et autres
Publié: (2025)

Path Planning for Masked Diffusion Model Sampling
par: Peng, Fred Zhangzhi, et autres
Publié: (2025)

Over-Searching in Search-Augmented Large Language Models
par: Xie, Roy, et autres
Publié: (2026)

Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
par: Cardei, Maria Ana, et autres
Publié: (2026)

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
par: Zhu, Yuanshao, et autres
Publié: (2024)

One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion
par: Long, Qingyue, et autres
Publié: (2025)

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
par: Mandi, Jayanta, et autres
Publié: (2023)

Revealing the Attention Floating Mechanism in Masked Diffusion Models
par: Dai, Xin, et autres
Publié: (2026)

Variational Masked Diffusion Models
par: Zhang, Yichi, et autres
Publié: (2025)

Learning Probabilities of Causation with Mask-Augmented Data
par: Wang, Shuai, et autres
Publié: (2025)

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
par: Rector-Brooks, Jarrid, et autres
Publié: (2024)

On the Trainability of Masked Diffusion Language Models via Blockwise Locality
par: Wang, Yuxiang, et autres
Publié: (2026)

LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models
par: Wei, Chenxing, et autres
Publié: (2026)

Latent-Augmented Discrete Diffusion Models
par: Shariatian, Dario, et autres
Publié: (2025)

Tuning the Implicit Regularizer of Masked Diffusion Language Models: Enhancing Generalization via Insights from $k$-Parity
par: Huang, Jianhao, et autres
Publié: (2026)