:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	D'Acunto, Gabriele, Zennaro, Fabio Massimo, Felekis, Yorgos, Di Lorenzo, Paolo
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2502.00407
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning Consistent Causal Abstraction Networks
par: D'Acunto, Gabriele, et autres
Publié: (2026)

Networks of Causal Abstractions: A Sheaf-theoretic Framework
par: D'Acunto, Gabriele, et autres
Publié: (2025)

Distributionally Robust Causal Abstractions
par: Felekis, Yorgos, et autres
Publié: (2025)

Causally Abstracted Multi-armed Bandits
par: Zennaro, Fabio Massimo, et autres
Publié: (2024)

The Relativity of Causal Knowledge
par: D'Acunto, Gabriele, et autres
Publié: (2025)

Learning Network Sheaves for AI-native Semantic Communication
par: Grimaldi, Enrico, et autres
Publié: (2025)

Multi-Level Causal Embeddings
par: Schooltink, Willem, et autres
Publié: (2026)

Aligning Graphical and Functional Causal Abstractions
par: Schooltink, Willem, et autres
Publié: (2024)

Learning the Structure of Connection Graphs
par: Di Nino, Leonardo, et autres
Publié: (2025)

Simplicial Gaussian Models: Representation and Inference
par: Marinucci, Lorenzo, et autres
Publié: (2025)

Learning Multi-Frequency Partial Correlation Graphs
par: D'Acunto, Gabriele, et autres
Publié: (2023)

Colored Markov Random Fields for Probabilistic Topological Modeling
par: Marinucci, Lorenzo, et autres
Publié: (2025)

Extracting the Multiscale Causal Backbone of Brain Dynamics
par: D'Acunto, Gabriele, et autres
Publié: (2023)

Teleological Inference in Structural Causal Models via Intentional Interventions
par: Compagno, Dario, et autres
Publié: (2026)

Neural Causal Abstractions
par: Xia, Kevin, et autres
Publié: (2024)

Learning Causal Abstractions of Linear Structural Causal Models
par: Massidda, Riccardo, et autres
Publié: (2024)

Multi-View Spectral Clustering for Graphs with Multiple View Structures
par: Tsitsikas, Yorgos, et autres
Publié: (2025)

The Causal Information Bottleneck and Optimal Causal Variable Abstractions
par: Simoes, Francisco N. F. Q., et autres
Publié: (2024)

Combining Causal Models for More Accurate Abstractions of Neural Networks
par: Pîslar, Theodora-Mara, et autres
Publié: (2025)

How Causal Abstraction Underpins Computational Explanation
par: Geiger, Atticus, et autres
Publié: (2025)

Efficient Discovery of Approximate Causal Abstractions via Neural Mechanism Sparsification
par: Asiaee, Amir
Publié: (2026)

PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction
par: Chang, Jonathn, et autres
Publié: (2026)

Contrastive Abstraction for Reinforcement Learning
par: Patil, Vihang, et autres
Publié: (2024)

Causal Abstraction in Model Interpretability: A Compact Survey
par: Zhang, Yihao
Publié: (2024)

A Sparsity Principle for Partially Observable Causal Representation Learning
par: Xu, Danru, et autres
Publié: (2024)

Communication Efficient Split Learning of ViTs with Attention-based Double Compression
par: Alvetreti, Federico, et autres
Publié: (2025)

Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
par: Dominici, Gabriele, et autres
Publié: (2024)

How to Turn Your Knowledge Graph Embeddings into Generative Models
par: Loconte, Lorenzo, et autres
Publié: (2023)

Learning Markov State Abstractions for Deep Reinforcement Learning
par: Allen, Cameron, et autres
Publié: (2021)

Abstraction for Offline Goal-Conditioned Reinforcement Learning
par: Wibault, Clarisse, et autres
Publié: (2026)

Spatio-temporal Value Semantics-based Abstraction for Dense Deep Reinforcement Learning
par: Nie, Jihui, et autres
Publié: (2024)

A Unifying Framework for Learning Argumentation Semantics
par: Mileva, Zlatina, et autres
Publié: (2023)

Learning with Language-Guided State Abstractions
par: Peng, Andi, et autres
Publié: (2024)

Semantic Channel Equalization Strategies for Deep Joint Source-Channel Coding
par: Pannacci, Lorenzo, et autres
Publié: (2025)

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
par: Lee, Hosung, et autres
Publié: (2024)

Robust Optimization in Causal Models and G-Causal Normalizing Flows
par: Visentin, Gabriele, et autres
Publié: (2025)

Semantic Level of Detail for Knowledge Graphs: Discovering Abstraction Boundaries via Spectral Heat Diffusion
par: Izgorodin, Edward
Publié: (2026)

Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions
par: Nayyar, Rashmeet Kaur, et autres
Publié: (2025)

Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning
par: Cipollone, Roberto, et autres
Publié: (2025)

CIVeX: Causal Intervention Verification for Language Agents
par: Rovai, Fabio
Publié: (2026)