Pietro Barbiero
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
9
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Counterfactual Concept Bottleneck Models. | Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich |
| 2025 | ICLR | Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. | Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich |
| 2025 | ICML | Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. | Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik |
| 2025 | KR | Categorical Explaining Functors: Ensuring Coherence in Logical Explanations. | Stefano Fioravanti, Francesco Giannini, Pietro Barbiero, Paolo Frazzetto, Roberto Confalonieri, Fabio Zanasi, Nicol Navarin |
| 2024 | KDD | Workshop on Human-Interpretable AI. | Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli |
| 2023 | AAAI | Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. | Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Li |
| 2023 | AAAI | Towards Robust Metrics for Concept Representation Evaluation. | Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik |
| 2023 | ICLR | Global Explainability of GNNs via Logic Combination of Learned Concepts. | Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Li, Andrea Passerini |
| 2023 | ICML | Interpretable Neural-Symbolic Concept Reasoning. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frdric Precioso, Mateja Jamnik, Giuseppe Marra |
| 2023 | NeSy | Interpretable Neural-Symbolic Concept Reasoning. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Li, Frdric Precioso, Mateja Jamnik, Giuseppe Marra |
| 2023 | NeSy | Logic Explained Networks. | Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Li, Marco Maggini, Stefano Melacci |
| 2022 | AAAI | Entropy-Based Logic Explanations of Neural Networks. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Li, Marco Gori, Stefano Melacci |
| 2022 | AAAI | Algorithmic Concept-Based Explainable Reasoning. | Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Li |
| 2022 | EMNLP | Extending Logic Explained Networks to Text Classification. | Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Li |
| 2021 | IJCNN | Topological Gradient-based Competitive Learning. | Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione |
| 2020 | IJCNN | Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study. | Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero |
| 2019 | GECCO | Beyond coreset discovery: evolutionary archetypes. | Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda |
| 2019 | GECCO | Evolutionary discovery of coresets for classification. | Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda |