Alessandro Antonucci
10 papers · 2014–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17)
🏆
Keyword Champion
(4)
📈
Trend Setter
💎
Century Club · Bronze
⚡
Prolific Year · Productive
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Bayesian & Probabilistic · Artificial Intelligence
(6)
Bayesian & Probabilistic · Machine Learning
(5)
Core AI
(4)
Core Methods
(4)
Knowledge & Reasoning
(3)
Optimization & Theory
(3)
Reasoning
(3)
Learning Types
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Optimization
(1)
Resources & Methods
(1)
Keywords
credal network
(4)
bayesian network
(4)
probabilistic graphical model
(3)
counterfactual reasoning
(2)
counterfactual query
(2)
causal inference
(2)
structural causal model
(2)
probabilistic inference
(1)
maximum a posteriori inference
(1)
bayesian inference
(1)
parameter learning
(1)
sensitivity analysis
(1)
graphical model
(1)
probabilistic modeling
(1)
exact inference
(1)
semantic shift
(1)
causal effect
(1)
uncertainty estimation
(1)
map inference
(1)
approximate inference
(1)
Papers
Causal Understanding by LLMs: The Role of Uncertainty
EMNLP 2025
Knowledge Intensive Learning of Credal Networks
UAI 2024
Bounding Counterfactuals under Selection Bias
PGM 2022
CREDICI: A Java Library for Causal Inference by Credal Networks
PGM 2020
CREMA: A Java Library for Credal Network Inference
PGM 2020
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces
SemEval 2020
Structural Causal Models Are (Solvable by) Credal Networks
PGM 2020
Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks
PGM 2020
Proceedings of the Eighth International Conference on Probabilistic Graphical Models
PGM 2016
Global Sensitivity Analysis for MAP Inference in Graphical Models
NeurIPS 2014