Roman Bresson - RankMe

15 papers A* 4B 2C 1Journal 5Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Rank the Initial Branching Order of SAT Solvers. CoRR Arvid Eriksson, Gabriel Poesia, Roman Bresson, Karl Henrik Johansson, David Broman
2025	—	`conf`	Detect Adversarial Examples with Exchangeability Martingale. COPA Genghua Dong, Roman Bresson, Henrik Boström
2025	B	`conf`	Explaining Deep Neural Networks with Example and Pixel Attribution. DS Genghua Dong, Henrik Boström, Roman Bresson, Amr Alkhatib
2025	J	`jnl`	KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. Trans. Mach. Learn. Res. Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis
2025	B	`conf`	Obtaining Example-Based Explanations from Deep Neural Networks. IDA Genghua Dong, Henrik Boström, Michalis Vazirgiannis, Roman Bresson
2025	J	`jnl`	Obtaining Example-Based Explanations from Deep Neural Networks. CoRR Genghua Dong, Henrik Boström, Michalis Vazirgiannis, Roman Bresson
2025	A*	`conf`	Prediction via Shapley Value Regression. ICML Amr Alkhatib, Roman Bresson, Henrik Boström, Michalis Vazirgiannis
2025	J	`jnl`	Prediction via Shapley Value Regression. CoRR Amr Alkhatib, Roman Bresson, Henrik Boström, Michalis Vazirgiannis
2024	A*	`conf`	Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid. IJCAI Nicolas Atienza, Roman Bresson, Cyriaque Rousselot, Philippe Caillou, Johanne Cohen, Christophe Labreuche, Michèle Sebag
2024	J	`jnl`	KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. CoRR Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis
2023	—	`conf`	Necessary and Sufficient Explanations of Multi-Criteria Decision Aiding Models, with and Without Interacting Criteria. xAI (2) Christophe Labreuche, Roman Bresson
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
2021	A*	`conf`	On the Identifiability of Hierarchical Decision Models. KR Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag
2020	A*	`conf`	Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals. IJCAI Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag
2019	C	`conf`	Socially Compliant Navigation in dense crowds. IV Roman Bresson, Jacques Saraydaryan, Julie Dugdale, Anne Spalanzani