Emanuele Marconato

According to our database, Emanuele Marconato authored at least 21 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

If Concept Bottlenecks are the Question, are Foundation Models the Answer?

Nicola Debole, Pietro Barbiero, Francesco Giannini, Andrea Passerini, Stefano Teso, Emanuele Marconato

Mach. Learn., May, 2026

Relational Linear Properties in Language Models: An Empirical Investigation.

Giovanni Valer, Luigi Gresele, Marco Bronzini, Emanuele Marconato

CoRR, May, 2026

Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models.

Samuele Bortolotti, Emanuele Marconato, Andrea Pugnana, Andrea Passerini, Stefano Teso

CoRR, May, 2026

Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations.

Nicola Debole, Andrea Passerini, Stefano Teso, Andrea Pugnana, Emanuele Marconato

CoRR, May, 2026

Logit Distance Bounds Representational Similarity.

Beatrix M. G. Nielsen, Emanuele Marconato, Luigi Gresele, Andrea Dittadi, Simon Buchholz

CoRR, February, 2026

2025

Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts.

Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Paolo Morettin, Elena Umili, Antonio Vergari, Efthymia Tsamoura, Andrea Passerini, Stefano Teso

CoRR, October, 2025

When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective.

Beatrix M. G. Nielsen, Emanuele Marconato, Andrea Dittadi, Luigi Gresele

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens.

Samuele Bortolotti, Emanuele Marconato, Paolo Morettin, Andrea Passerini, Stefano Teso

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling.

Emanuele Marconato, Sébastien Lachapelle, Sebastian Weichwald, Luigi Gresele

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts.

Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini

Dataset, June, 2024

A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts.

Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini

CoRR, 2024

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.

Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso

Proceedings of the Uncertainty in Artificial Intelligence, 2024

A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts.

Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Benchmarking in Neuro-Symbolic AI.

Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi

Proceedings of the Learning and Reasoning, 2024

2023

Interpretability Is in the Mind of the Beholder: A Causal Framework for Human-Interpretable Representation Learning.

Emanuele Marconato, Andrea Passerini, Stefano Teso

Entropy, December, 2023

Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts.

Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations.

Emanuele Marconato, Stefano Teso, Andrea Passerini

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal.

Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso

Proceedings of the International Conference on Machine Learning, 2023

2022

GlanceNets: Interpretabile, Leak-proof Concept-based Models.

Emanuele Marconato, Andrea Passerini, Stefano Teso

CoRR, 2022

GlanceNets: Interpretable, Leak-proof Concept-based Models.

Emanuele Marconato, Andrea Passerini, Stefano Teso

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Catastrophic Forgetting in Continual Concept Bottleneck Models.

Emanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022