Gabriele Dominici

18 papers A* 4Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Federated Concept-Based Models: Interpretable models with distributed supervision.
CoRR
Dario Fenoglio, Arianna Casanova, Francesco De Santis, Mohan Li, Gabriele Dominici, Johannes Schneider, Martin Gjoreski, Marc Langheinrich, Pietro Barbiero, Giovanni de Felice
2025 A* conf
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts.
ICML
Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik
2025 J jnl
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts.
CoRR
Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik
2025 A* conf
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning.
ICLR
Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2025 A* conf
Counterfactual Concept Bottleneck Models.
ICLR
Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2025 J jnl
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts.
CoRR
Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu
2025 J jnl
Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning.
CoRR
David Debot, Pietro Barbiero, Gabriele Dominici, Giuseppe Marra
2025 J jnl
Is General-Purpose AI Reasoning Sensitive to Data-Induced Cognitive Biases? Dynamic Benchmarking on Typical Software Engineering Dilemmas.
CoRR
Francesco Sovrano, Gabriele Dominici, Rita Sevastjanova, Alessandra Stramiglio, Alberto Bacchelli
2025 J jnl
Towards Transparent Reasoning: What Drives Faithfulness in Large Language Models?
CoRR
Teague McMillan, Gabriele Dominici, Martin Gjoreski, Marc Langheinrich
2024 — conf
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich
2024 J jnl
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model.
CoRR
Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich
2024 J jnl
Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning.
CoRR
Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2024 J jnl
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models.
CoRR
Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2024 J jnl
DC3DO: Diffusion Classifier for 3D Objects.
CoRR
Nursena Köprücü, Meher Shashwat Nigam, Shicheng Xu, Biruk Abere, Gabriele Dominici, Andrew Rodriguez, Sharvaree Vadgama, Berfin Inal, Alberto Tono
2024 J jnl
Evaluating Explanations Through LLMs: Beyond Traditional User Studies.
CoRR
Francesco Bombassei De Bona, Gabriele Dominici, Tim Miller, Marc Langheinrich, Martin Gjoreski
2024 A* conf
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning.
NeurIPS
Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
2024 J jnl
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning.
CoRR
Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
2023 J jnl
SHARCS: Shared Concept Space for Explainable Multimodal Learning.
CoRR
Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski