Andrea Passerini
31 papers · 2006–2026 · 9 venues · across top CS/AI venues
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(6)
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Research topics
Machine Learning
(18)
Artificial Intelligence
(17)
Core AI
(13)
Core Methods
(9)
Optimization & Theory
(8)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Knowledge & Reasoning
(5)
Bayesian & Probabilistic Β· Machine Learning
(5)
Mathematics & Optimization
(4)
Architectures
(4)
Optimization
(4)
Reasoning
(4)
Learning Types Β· Deep Learning
(3)
Keywords
probabilistic inference
(5)
weighted model integration
(5)
smt solving
(4)
reasoning shortcut
(4)
continuous variable
(3)
bayesian inference
(3)
logical constraint
(3)
concept learning
(3)
structured prediction
(2)
active learning
(2)
algebraic constraint
(2)
weighted model counting
(2)
graph neural network
(2)
hybrid domain
(2)
representation learning
(2)
symbolic reasoning
(1)
uncertainty quantification
(1)
domain generalization
(1)
relational learning
(1)
concept-based explanation
(1)
Papers
Benchmarking XAI Explanations with Human-Aligned Evaluations
AAAI 2026
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
UAI 2025
Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
ICML 2025
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
ICLR 2025
Simple Path Structural Encoding for Graph Transformers
ICML 2025
Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
EMNLP 2025
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
NeurIPS 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
UAI 2024
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain
NAACL 2024
Concept-level Debugging of Part-Prototype Networks
ICLR 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
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
NeurIPS 2023
GlanceNets: Interpretable, Leak-proof Concept-based Models
NeurIPS 2022
SMT-based weighted model integration with structure awareness
UAI 2022
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey
IJCAI 2021
Interactive Label Cleaning with Example-based Explanations
NeurIPS 2021
Learning Aggregation Functions
IJCAI 2021
Efficient Generation of Structured Objects with Constrained Adversarial Networks
NeurIPS 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes
IJCAI 2020
Learning Weighted Model Integration Distributions
AAAI 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
Bootstrapping Domain Ontologies from Wikipedia: A Uniform Approach
IJCAI 2015
Probabilistic Inference in Hybrid Domains by Weighted Model Integration
IJCAI 2015
Predicting the Geometry of Metal Binding Sites from Protein Sequence
NeurIPS 2008
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
JMLR 2006