Andrea Passerini
31 papers · 2006–2026 · 9 conferences · across top CS/AI conferences
Achievements
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(3)
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Topic Evolution
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(5)
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(96)
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Century Club
(30)
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Conferences
IJCAI (11)
NIPS (6)
ICLR (3)
ICML (3)
UAI (3)
AAAI (2)
EMNLP (1)
JMLR (1)
NAACL (1)
Top co-authors
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