Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Christopher, Jacob K., Cardei, Michael, Liang, Jinhao, Fioretto, Ferdinando |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Search-Augmented Masked Diffusion Models for Constrained Generation
by: Ta, Huu Binh, et al.
Published: (2026)
by: Ta, Huu Binh, et al.
Published: (2026)
Simple Self-Conditioning Adaptation for Masked Diffusion Models
by: Cardei, Michael, et al.
Published: (2026)
by: Cardei, Michael, 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)
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)
Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2026)
by: Liang, Jinhao, et al.
Published: (2026)
Constrained Synthesis with Projected Diffusion Models
by: Christopher, Jacob K, et al.
Published: (2024)
by: Christopher, Jacob K, 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)
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)
Constrained Discrete Diffusion
by: Cardei, Michael, et al.
Published: (2025)
by: Cardei, Michael, et al.
Published: (2025)
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
by: Christopher, Jacob K, et al.
Published: (2024)
by: Christopher, Jacob K, 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)
Softened Symbol Grounding for Neuro-symbolic Systems
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
by: Marconato, Emanuele, et al.
Published: (2025)
by: Marconato, Emanuele, et al.
Published: (2025)
Training-Free Constrained Generation With Stable Diffusion Models
by: Zampini, Stefano, et al.
Published: (2025)
by: Zampini, Stefano, et al.
Published: (2025)
GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning
by: Shindo, Hikaru, et al.
Published: (2026)
by: Shindo, Hikaru, et al.
Published: (2026)
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)
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
by: Scassola, Davide, et al.
Published: (2023)
by: Scassola, Davide, et al.
Published: (2023)
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)
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
by: Fioretto, Ferdinando, et al.
Published: (2024)
by: Fioretto, Ferdinando, et al.
Published: (2024)
Neuro-Symbolic Rule Lists
by: Xu, Sascha, et al.
Published: (2024)
by: Xu, Sascha, et al.
Published: (2024)
The Data Minimization Principle in Machine Learning
by: Ganesh, Prakhar, et al.
Published: (2024)
by: Ganesh, Prakhar, et al.
Published: (2024)
Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge
by: Labre, Marcelo
Published: (2026)
by: Labre, Marcelo
Published: (2026)
NeuroFilter: Privacy Guardrails for Conversational LLM Agents
by: Das, Saswat, et al.
Published: (2026)
by: Das, Saswat, et al.
Published: (2026)
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning
by: Cunnington, Daniel, et al.
Published: (2024)
by: Cunnington, Daniel, et al.
Published: (2024)
Procedural Adherence and Interpretability Through Neuro-Symbolic Generative Agents
by: Rothkopf, Raven, et al.
Published: (2024)
by: Rothkopf, Raven, et al.
Published: (2024)
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
by: Marconato, Emanuele, et al.
Published: (2024)
by: Marconato, Emanuele, et al.
Published: (2024)
A Real-Time Neuro-Symbolic Ethical Governor for Safe Decision Control in Autonomous Robotic Manipulation
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026)
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026)
Drift Flow Matching
by: Ma, Chenrui, et al.
Published: (2026)
by: Ma, Chenrui, et al.
Published: (2026)
A Learnability Analysis on Neuro-Symbolic Learning
by: He, Hao-Yuan, et al.
Published: (2025)
by: He, Hao-Yuan, et al.
Published: (2025)
Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations
by: Bougzime, Oualid, et al.
Published: (2025)
by: Bougzime, Oualid, et al.
Published: (2025)
Grounding LTL Tasks in Sub-Symbolic RL Environments for Zero-Shot Generalization
by: Pannacci, Matteo, et al.
Published: (2026)
by: Pannacci, Matteo, et al.
Published: (2026)
Explainable Diagnosis Prediction through Neuro-Symbolic Integration
by: Lu, Qiuhao, et al.
Published: (2024)
by: Lu, Qiuhao, et al.
Published: (2024)
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
Bridging the Gap: Representation Spaces in Neuro-Symbolic AI
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
Simple and Effective Transfer Learning for Neuro-Symbolic Integration
by: Daniele, Alessandro, et al.
Published: (2024)
by: Daniele, Alessandro, et al.
Published: (2024)
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
by: Singireddy, Suraj, et al.
Published: (2023)
by: Singireddy, Suraj, et al.
Published: (2023)
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
by: Bortolotti, Samuele, et al.
Published: (2025)
by: Bortolotti, Samuele, et al.
Published: (2025)
Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models
by: Bortolotti, Samuele, et al.
Published: (2026)
by: Bortolotti, Samuele, et al.
Published: (2026)
Similar Items
-
Search-Augmented Masked Diffusion Models for Constrained Generation
by: Ta, Huu Binh, et al.
Published: (2026) -
Simple Self-Conditioning Adaptation for Masked Diffusion Models
by: Cardei, Michael, et al.
Published: (2026) -
Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025) -
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
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)