Image de couverture de livre

Towards Error Centric Intelligence I, Beyond Observational Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Thomas, Marcus A.
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Error-Centric Intelligence II: Energy-Structured Causal Models
par: Thomas, Marcus
Publié: (2025)

Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features
par: Najjar, Hiba, et autres
Publié: (2024)

Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence
par: György, András, et autres
Publié: (2025)

Beyond Mimicry: Toward Lifelong Adaptability in Imitation Learning
par: Gavenski, Nathan, et autres
Publié: (2026)

Beyond the Norms: Detecting Prediction Errors in Regression Models
par: Altieri, Andres, et autres
Publié: (2024)

Beyond Error-Based Optimization: Experience-Driven Symbolic Regression with Goal-Conditioned Reinforcement Learning
par: Sun, Jianwen, et autres
Publié: (2026)

Object-Centric Neuro-Argumentative Learning
par: Jacob, Abdul Rahman, et autres
Publié: (2025)

Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
par: Umm-e-Habiba, et autres
Publié: (2022)

Knowledge-Centric Metacognitive Learning
par: Kumar, Arun, et autres
Publié: (2024)

Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability
par: Zhang, Shichang, et autres
Publié: (2025)

Deep Reinforcement Learning via Object-Centric Attention
par: Blüml, Jannis, et autres
Publié: (2025)

A Concept-Centric Approach to Multi-Modality Learning
par: Geng, Yuchong, et autres
Publié: (2024)

Toward a Metrology for Artificial Intelligence: Hidden-Rule Environments and Reinforcement Learning
par: Mathew, Christo, et autres
Publié: (2025)

Object-Centric World Models for Causality-Aware Reinforcement Learning
par: Nishimoto, Yosuke, et autres
Publié: (2025)

Griffin: Towards a Graph-Centric Relational Database Foundation Model
par: Wang, Yanbo, et autres
Publié: (2025)

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
par: Hu, Rui, et autres
Publié: (2024)

Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids
par: Olowookere, AbdulQoyum A., et autres
Publié: (2026)

AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models
par: Heins, Conor, et autres
Publié: (2025)

Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
par: Kim, Sunwoo, et autres
Publié: (2025)

Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
par: GX-Chen, Anthony, et autres
Publié: (2024)

Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
par: Kori, Avinash, et autres
Publié: (2024)

Data-Centric Interpretability for LLM-based Multi-Agent Reinforcement Learning
par: Yan, John, et autres
Publié: (2026)

Learning the Error Patterns of Language Models
par: Kim, Jinwoo, et autres
Publié: (2026)

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond
par: Guo, Kehan, et autres
Publié: (2025)

Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
par: Santosh, KC, et autres
Publié: (2025)

Toward Learning POMDPs Beyond Full-Rank Actions and State Observability
par: Shaw, Seiji, et autres
Publié: (2026)

From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization
par: Chen, Xinjie, et autres
Publié: (2025)

Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
par: Salt, Llewyn, et autres
Publié: (2025)

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
par: Wang, Dongjie, et autres
Publié: (2025)

A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
par: Tschalzev, Andrej, et autres
Publié: (2024)

Object Centric Concept Bottlenecks
par: Steinmann, David, et autres
Publié: (2025)

Beyond Fluency: Toward Reliable Trajectories in Agentic IR
par: Sinha, Anushree, et autres
Publié: (2026)

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective
par: Ying, Wangyang, et autres
Publié: (2025)

Beyond Relevance: Utility-Centric Retrieval in the LLM Era
par: Zhang, Hengran, et autres
Publié: (2026)

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
par: Su, Hongjin, et autres
Publié: (2025)

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024
par: Spathis, Dimitris, et autres
Publié: (2024)

Learning to Theorize the World from Observation
par: Baek, Doojin, et autres
Publié: (2026)

Explicitly Disentangled Representations in Object-Centric Learning
par: Majellaro, Riccardo, et autres
Publié: (2024)

Towards Data-Centric RLHF: Simple Metrics for Preference Dataset Comparison
par: Shen, Judy Hanwen, et autres
Publié: (2024)

Decision-Centric Design for LLM Systems
par: Sun, Wei
Publié: (2026)