Roman Bresson

According to our database, Roman Bresson authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

Prediction via Shapley Value Regression.

Amr Alkhatib, Roman Bresson, Henrik Boström, Michalis Vazirgiannis

CoRR, May, 2025

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.

Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis

Trans. Mach. Learn. Res., 2025

Obtaining Example-Based Explanations from Deep Neural Networks.

Genghua Dong, Henrik Boström, Michalis Vazirgiannis, Roman Bresson

Proceedings of the Advances in Intelligent Data Analysis XXIII, 2025

Detect Adversarial Examples with Exchangeability Martingale.

Genghua Dong, Roman Bresson, Henrik Boström

Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

2024

Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid.

Nicolas Atienza, Roman Bresson, Cyriaque Rousselot, Philippe Caillou, Johanne Cohen, Christophe Labreuche, Michèle Sebag

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Necessary and Sufficient Explanations of Multi-Criteria Decision Aiding Models, with and Without Interacting Criteria.

Christophe Labreuche, Roman Bresson

Proceedings of the Explainable Artificial Intelligence, 2023

2022

Neural learning and validation of hierarchical multi-criteria decision aiding models with interacting criteria. (Apprentissage neuronal et validation de modèles hiérarchiques d'aide à la décision multicritère présentant de l'interaction entre les critères).

Roman Bresson

PhD thesis, 2022

2021

On the Identifiability of Hierarchical Decision Models.

Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag

Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

2020

Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals.

Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Socially Compliant Navigation in dense crowds.

Roman Bresson, Jacques Saraydaryan, Julie Dugdale, Anne Spalanzani

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019