Stefano Teso
23 papers · 2016–2026 · 6 conferences · across top CS/AI conferences
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Keywords
reasoning shortcut
(3)
probabilistic inference
(3)
constraint learning
(3)
active learning
(2)
neuro-symbolic learning
(2)
machine learning
(2)
representation learning
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smt solving
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logical constraint
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combinatorial optimization
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concept learning
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benchmark evaluation
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human activity recognition
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uncertainty quantification
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density estimation
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catastrophic forgetting
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structured prediction
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gaussian process
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bayesian inference
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formal verification
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Papers
Human Cognitive Biases in Explanation-based Interaction: The Case of Within and Between Session Order Effect
AAAI 2026
Logically Consistent Language Models via Neuro-Symbolic Integration
ICLR 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 Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
NIPS 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
UAI 2024
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
NIPS 2023
Concept-level Debugging of Part-Prototype Networks
ICLR 2023
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
ICML 2023
GlanceNets: Interpretable, Leak-proof Concept-based Models
NIPS 2022
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion
AAAI 2022
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition
IJCAI 2022
Semantic Probabilistic Layers for Neuro-Symbolic Learning
NIPS 2022
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
NIPS 2021
Interactive Label Cleaning with Example-based Explanations
NIPS 2021
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation
AAAI 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes
IJCAI 2020
Efficient Generation of Structured Objects with Constrained Adversarial Networks
NIPS 2020
Learning Weighted Model Integration Distributions
AAAI 2020
Acquiring Integer Programs from Data
IJCAI 2019
Learning SMT(LRA) Constraints using SMT Solvers
IJCAI 2018
Pyconstruct: Constraint Programming Meets Structured Prediction
IJCAI 2018
Constructive Preference Elicitation by Setwise Max-Margin Learning
IJCAI 2016