Discrete World Models via Regularization
Fuente:
arXiv
Saved in:
| Main Authors: | Bizzaro, Davide, Serafini, Luciano |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Lifted Inference beyond First-Order Logic
by: Malhotra, Sagar, et al.
Published: (2023)
by: Malhotra, Sagar, et al.
Published: (2023)
Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration
by: Bizzaro, Davide, et al.
Published: (2025)
by: Bizzaro, Davide, et al.
Published: (2025)
On the Theoretical Limitations of Embedding-based Link Prediction
by: Badreddine, Samy, et al.
Published: (2025)
by: Badreddine, Samy, et al.
Published: (2025)
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
by: Daniele, Alessandro, et al.
Published: (2022)
by: Daniele, Alessandro, et al.
Published: (2022)
Simple and Effective Transfer Learning for Neuro-Symbolic Integration
by: Daniele, Alessandro, et al.
Published: (2024)
by: Daniele, Alessandro, et al.
Published: (2024)
Preference-Based Alignment of Discrete Diffusion Models
by: Borso, Umberto, et al.
Published: (2025)
by: Borso, Umberto, et al.
Published: (2025)
DiPRL: Learning Discrete Programmatic Policies via Architecture Entropy Regularization
by: Hu, Chengpeng, et al.
Published: (2026)
by: Hu, Chengpeng, et al.
Published: (2026)
A Notion of Complexity for Theory of Mind via Discrete World Models
by: Huang, X. Angelo, et al.
Published: (2024)
by: Huang, X. Angelo, et al.
Published: (2024)
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
by: Rector-Brooks, Jarrid, et al.
Published: (2024)
by: Rector-Brooks, Jarrid, et al.
Published: (2024)
Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models
by: Zhao, Kai, et al.
Published: (2026)
by: Zhao, Kai, et al.
Published: (2026)
The Global Neural World Model: Spatially Grounded Discrete Topologies for Action-Conditioned Planning
by: Kermiche, Noureddine
Published: (2026)
by: Kermiche, Noureddine
Published: (2026)
Structure and Redundancy in Large Language Models: A Spectral Study via Random Matrix Theory
by: Ettori, Davide
Published: (2026)
by: Ettori, Davide
Published: (2026)
Discrete Modeling via Boundary Conditional Diffusion Processes
by: Gu, Yuxuan, et al.
Published: (2024)
by: Gu, Yuxuan, et al.
Published: (2024)
MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
by: Xiong, Xuantang, et al.
Published: (2025)
by: Xiong, Xuantang, et al.
Published: (2025)
Generative Adversarial Model-Based Optimization via Source Critic Regularization
by: Yao, Michael S., et al.
Published: (2024)
by: Yao, Michael S., et al.
Published: (2024)
World Model Robustness via Surprise Recognition
by: Zollicoffer, Geigh, et al.
Published: (2025)
by: Zollicoffer, Geigh, et al.
Published: (2025)
Spectral Geometry for Deep Learning: Compression and Hallucination Detection via Random Matrix Theory
by: Ettori, Davide
Published: (2026)
by: Ettori, Davide
Published: (2026)
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
by: Chen, Zixiang, et al.
Published: (2023)
by: Chen, Zixiang, et al.
Published: (2023)
Towards Counting Markov Equivalence Classes with Logical Constraints
by: Bizzaro, Davide, et al.
Published: (2024)
by: Bizzaro, Davide, et al.
Published: (2024)
Variational Deep Learning via Implicit Regularization
by: Wenger, Jonathan, et al.
Published: (2025)
by: Wenger, Jonathan, et al.
Published: (2025)
In-Context Reinforcement Learning via Communicative World Models
by: Martinez-Lopez, Fernando, et al.
Published: (2025)
by: Martinez-Lopez, Fernando, et al.
Published: (2025)
World Models via Policy-Guided Trajectory Diffusion
by: Rigter, Marc, et al.
Published: (2023)
by: Rigter, Marc, et al.
Published: (2023)
Latent-Augmented Discrete Diffusion Models
by: Shariatian, Dario, et al.
Published: (2025)
by: Shariatian, Dario, et al.
Published: (2025)
Informed Correctors for Discrete Diffusion Models
by: Zhao, Yixiu, et al.
Published: (2024)
by: Zhao, Yixiu, et al.
Published: (2024)
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
by: Wang, Chenyu, et al.
Published: (2024)
by: Wang, Chenyu, et al.
Published: (2024)
Adapting World Models with Latent-State Dynamics Residuals
by: Lanier, JB, et al.
Published: (2025)
by: Lanier, JB, et al.
Published: (2025)
Improving Robustness In Sparse Autoencoders via Masked Regularization
by: Narayanaswamy, Vivek, et al.
Published: (2026)
by: Narayanaswamy, Vivek, et al.
Published: (2026)
Maintaining Plasticity in Continual Learning via Regenerative Regularization
by: Kumar, Saurabh, et al.
Published: (2023)
by: Kumar, Saurabh, et al.
Published: (2023)
Revisiting Chebyshev Polynomial and Anisotropic RBF Models for Tabular Regression
by: Gerber, Luciano, et al.
Published: (2026)
by: Gerber, Luciano, et al.
Published: (2026)
Deep SPI: Safe Policy Improvement via World Models
by: Delgrange, Florent, et al.
Published: (2025)
by: Delgrange, Florent, et al.
Published: (2025)
Reinforcement Learning from Delayed Observations via World Models
by: Karamzade, Armin, et al.
Published: (2024)
by: Karamzade, Armin, et al.
Published: (2024)
Verification of the Implicit World Model in a Generative Model via Adversarial Sequences
by: Balogh, András, et al.
Published: (2026)
by: Balogh, András, et al.
Published: (2026)
Learning Discrete Concepts in Latent Hierarchical Models
by: Kong, Lingjing, et al.
Published: (2024)
by: Kong, Lingjing, et al.
Published: (2024)
Implicit Search via Discrete Diffusion: A Study on Chess
by: Ye, Jiacheng, et al.
Published: (2025)
by: Ye, Jiacheng, et al.
Published: (2025)
Enhancing Time Series Forecasting via Logic-Inspired Regularization
by: Zhang, Jianqi, et al.
Published: (2025)
by: Zhang, Jianqi, et al.
Published: (2025)
Addressing Label Shift in Distributed Learning via Entropy Regularization
by: Wu, Zhiyuan, et al.
Published: (2025)
by: Wu, Zhiyuan, et al.
Published: (2025)
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization
by: Pang, Jing-Cheng, et al.
Published: (2021)
by: Pang, Jing-Cheng, et al.
Published: (2021)
Learning Regularizers: Learning Optimizers that can Regularize
by: Sahoo, Suraj Kumar, et al.
Published: (2025)
by: Sahoo, Suraj Kumar, et al.
Published: (2025)
Membership Inference Attacks on Discrete Diffusion Language Models
by: Kasivelrajan, Shailesh
Published: (2026)
by: Kasivelrajan, Shailesh
Published: (2026)
Discrete-Choice Model with Generalized Additive Utility Network
by: Nishi, Tomoki, et al.
Published: (2023)
by: Nishi, Tomoki, et al.
Published: (2023)
Similar Items
-
Lifted Inference beyond First-Order Logic
by: Malhotra, Sagar, et al.
Published: (2023) -
Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration
by: Bizzaro, Davide, et al.
Published: (2025) -
On the Theoretical Limitations of Embedding-based Link Prediction
by: Badreddine, Samy, et al.
Published: (2025) -
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
by: Daniele, Alessandro, et al.
Published: (2022) -
Simple and Effective Transfer Learning for Neuro-Symbolic Integration
by: Daniele, Alessandro, et al.
Published: (2024)