Copertina

Theoretical Unification of the Fractured Aspects of Information

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Schroeder, Marcin J.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks
di: Franzmeyer, Tim, et al.
Pubblicazione: (2022)

From RLHF to Direct Alignment: A Theoretical Unification of Preference Learning for Large Language Models
di: Raheja, Tarun, et al.
Pubblicazione: (2026)

Superposition with Delayed Unification
di: Bhayat, Ahmed, et al.
Pubblicazione: (2024)

The WHY in Business Processes: Unification of Causal Process Models
di: David, Yuval, et al.
Pubblicazione: (2025)

Reframing the Expected Free Energy: Four Formulations and a Unification
di: Champion, Théophile, et al.
Pubblicazione: (2024)

Neural Information Causality
di: Bang, Jeongho, et al.
Pubblicazione: (2026)

Speeding up approximate MAP by applying domain knowledge about relevant variables
di: Kwisthout, Johan, et al.
Pubblicazione: (2024)

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics
di: Blum, Carter, et al.
Pubblicazione: (2025)

Pseudo-Unification: Entropy Probing Reveals Divergent Information Patterns in Unified Multimodal Models
di: Yang, Songlin, et al.
Pubblicazione: (2026)

Document Classification Pattern Recognition via Information Fusion: A Systematic Review of Multimodal and Multiview Representation Approaches
di: Mirończuk, Marcin Michał
Pubblicazione: (2026)

Proceedings Twentieth Conference on Theoretical Aspects of Rationality and Knowledge
di: Bjorndahl, Adam
Pubblicazione: (2025)

Information-Theoretic Aggregation of Ethical Attributes in Simulated-Command
di: Akay, Taylan, et al.
Pubblicazione: (2025)

RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark
di: Shi, Yang, et al.
Pubblicazione: (2025)

Exploring Task Unification in Graph Representation Learning via Generative Approach
di: Hu, Yulan, et al.
Pubblicazione: (2024)

Tutorial on the Probabilistic Unification of Estimation Theory, Machine Learning, and Generative AI
di: Elmusrati, Mohammed
Pubblicazione: (2025)

Valid Text-to-SQL Generation with Unification-based DeepStochLog
di: Jiao, Ying, et al.
Pubblicazione: (2025)

The Query Channel: Information-Theoretic Limits of Masking-Based Explanations
di: Karakaya, Erciyes, et al.
Pubblicazione: (2026)

Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction
di: Yang, Lu, et al.
Pubblicazione: (2025)

An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
di: Shwartz-Ziv, Ravid, et al.
Pubblicazione: (2023)

Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation
di: Feng, Yichao, et al.
Pubblicazione: (2025)

On Information-Theoretic Measures of Predictive Uncertainty
di: Schweighofer, Kajetan, et al.
Pubblicazione: (2024)

Information-Theoretic Safe Bayesian Optimization
di: Bottero, Alessandro G., et al.
Pubblicazione: (2024)

Information-Theoretic Foundations for Machine Learning
di: Jeon, Hong Jun, et al.
Pubblicazione: (2024)

An Information Theoretic Approach to Machine Unlearning
di: Foster, Jack, et al.
Pubblicazione: (2024)

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
di: Sikchi, Harshit, et al.
Pubblicazione: (2023)

AI and Social Theory
di: Mokander, Jakob, et al.
Pubblicazione: (2024)

Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization
di: Mokander, Jakob, et al.
Pubblicazione: (2024)

Effective Frontiers: A Unification of Neural Scaling Laws
di: Zou, Jiaxuan, et al.
Pubblicazione: (2026)

Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction
di: Distelzweig, Aron, et al.
Pubblicazione: (2024)

Turning Internal Gap into Self-Improvement: Promoting the Generation-Understanding Unification in MLLMs
di: Han, Yujin, et al.
Pubblicazione: (2025)

GeoBS: Information-Theoretic Quantification of Geographic Bias in AI Models
di: Wang, Zhangyu, et al.
Pubblicazione: (2025)

Learning to Decide with Just Enough: Information-Theoretic Context Summarization for CMDPs
di: Liu, Peidong, et al.
Pubblicazione: (2025)

Rule Encoding and Compliance in Large Language Models: An Information-Theoretic Analysis
di: Diederich, Joachim
Pubblicazione: (2025)

An Information Theoretic Evaluation Metric For Strong Unlearning
di: Jeon, Dongjae, et al.
Pubblicazione: (2024)

Representations as Language: An Information-Theoretic Framework for Interpretability
di: Conklin, Henry, et al.
Pubblicazione: (2024)

Information-Theoretic Foundations for Neural Scaling Laws
di: Jeon, Hong Jun, et al.
Pubblicazione: (2024)

Information-Theoretic Distillation for Reference-less Summarization
di: Jung, Jaehun, et al.
Pubblicazione: (2024)

Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents
di: Abtahi, Seyed Moein, et al.
Pubblicazione: (2026)

SUM: Saliency Unification through Mamba for Visual Attention Modeling
di: Hosseini, Alireza, et al.
Pubblicazione: (2024)

Information-Theoretic Framework for Self-Adapting Model Predictive Controllers
di: Hafez, Wael, et al.
Pubblicazione: (2026)