← Authors

Andrea Passerini

31 papers · 2006–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸƒ Academic Marathon (19) 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (7) πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (15) 🧬 Topic Evolution πŸ† Keyword Champion πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (96) ❓ The Questioner πŸ’Ž Century Club (30) πŸ”₯ Unstoppable (11)

Conferences

IJCAI (11) NIPS (6) ICLR (3) ICML (3) UAI (3) AAAI (2) EMNLP (1) JMLR (1) NAACL (1)

Top co-authors

Stefano Teso (15) Paolo Morettin (8) Emanuele Marconato (5) Roberto Sebastiani (4) Antonio Vergari (4) Steve Azzolin (4) Samuel Kolb (4) Andrea Bontempelli (3) Luc De Raedt (3) Fausto Giunchiglia (3)

Keywords

probabilistic inference (5) weighted model integration (5) smt solving (4) continuous variable (3) logical constraint (3) bayesian inference (3) reasoning shortcut (3) active learning (2) weighted model counting (2) representation learning (2) hybrid domain (2) concept learning (2) attention mechanism (1) symbolic reasoning (1) computer vision (1) uncertainty quantification (1) concept-based explanation (1) relational learning (1) gaussian process (1) density estimation (1)

Papers

Benchmarking XAI Explanations with Human-Aligned Evaluations AAAI 2026
Simple Path Structural Encoding for Graph Transformers ICML 2025
Towards Reliable Retrieval in RAG Systems for Large Legal Datasets EMNLP 2025
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs ICLR 2025
Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective ICML 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction UAI 2025
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain NAACL 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts UAI 2024
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts NIPS 2024
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts NIPS 2023
Global Explainability of GNNs via Logic Combination of Learned Concepts ICLR 2023
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal ICML 2023
Concept-level Debugging of Part-Prototype Networks ICLR 2023
SMT-based weighted model integration with structure awareness UAI 2022
GlanceNets: Interpretable, Leak-proof Concept-based Models NIPS 2022
Learning Aggregation Functions IJCAI 2021
Interactive Label Cleaning with Example-based Explanations NIPS 2021
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey IJCAI 2021
Learning Weighted Model Integration Distributions AAAI 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020
Efficient Generation of Structured Objects with Constrained Adversarial Networks NIPS 2020
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration IJCAI 2019
Learning SMT(LRA) Constraints using SMT Solvers IJCAI 2018
Pyconstruct: Constraint Programming Meets Structured Prediction IJCAI 2018
Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017
Constructive Preference Elicitation by Setwise Max-Margin Learning IJCAI 2016
Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report IJCAI 2016
Probabilistic Inference in Hybrid Domains by Weighted Model Integration IJCAI 2015
Bootstrapping Domain Ontologies from Wikipedia: A Uniform Approach IJCAI 2015
Predicting the Geometry of Metal Binding Sites from Protein Sequence NIPS 2008
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006