Mathieu Lefort

33 papers A* 2B 10C 1Journal 5Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Towards Better Interpretability of Sepsis Prediction by Deep Neural Networks with Variable-Wise Attribution Maps. ISBI P.-E. Thiboud, Valentine Wargnier-Dauchelle, Mathieu Lefort, Nicolas Duchateau, Michaël Sdika
2024	—	`book`	Structured representation learning and multimodal perception, towards more autonomous sensorimotor systems. (Apprentissage de représentations structurées et perception multimodale, vers des systèmes sensorimoteurs plus autonomes). Mathieu Lefort
2024	J	`jnl`	Unraveling the thread: understanding and addressing sequential failures in human-robot interaction. Frontiers Robotics AI Lucien Tisserand, Brooke Stephenson, Heike Baldauf-Quilliatre, Mathieu Lefort, Frédéric Armetta
2023	—	`conf`	Champ neuronal et apprentissage profond de topologies pour la fusion multimodale. CNIA Simon Forest, Jean-Charles Quinton, Mathieu Lefort
2023	A*	`conf`	EquiMod: An Equivariance Module to Improve Visual Instance Discrimination. ICLR Alexandre Devillers, Mathieu Lefort
2023	—	`conf`	L'apprentissage algorithmique, une nouvelle étape pour l'IA. Une application aux opérations arithmétiques. CNIA Frédéric Armetta, Anthony Baccuet, Mathieu Lefort
2023	—	`conf`	Recommendation Model for an After-School E-learning Mobile Application. CSEDU (2) Anaëlle Badier, Mathieu Lefort, Marie Lefèvre
2023	J	`jnl`	Sequential annotations for naturally-occurring HRI: first insights. CoRR Lucien Tisserand, Frédéric Armetta, Heike Baldauf-Quilliatre, Antoine Bouquin, Salima Hassas, Mathieu Lefort
2023	B	`conf`	Understanding the Usages and Effects of a Recommendation System in a Non-formal Learning Context. ITS Anaëlle Badier, Mathieu Lefort, Marie Lefèvre
2022	J	`jnl`	A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect. Neural Comput. Simon Forest, Jean-Charles Quinton, Mathieu Lefort
2022	B	`conf`	Combining Manifold Learning and Neural Field Dynamics for Multimodal Fusion. IJCNN Simon Forest, Jean-Charles Quinton, Mathieu Lefort
2022	J	`jnl`	EquiMod: An Equivariance Module to Improve Self-Supervised Learning. CoRR Alexandre Devillers, Mathieu Lefort
2022	—	`conf`	The Impact of Action in Visual Representation Learning. ICDL Alexandre Devillers, Valentin Chaffraix, Frédéric Armetta, Stefan Duffner, Mathieu Lefort
2021	B	`conf`	Novelty detection for unsupervised continual learning in image sequences. ICTAI Ruiqi Dai, Mathieu Lefort, Frédéric Armetta, Mathieu Guillermin, Stefan Duffner
2021	—	`conf`	Self-supervised Continual Learning for Object Recognition in Image Sequences. ICONIP (5) Ruiqi Dai, Mathieu Lefort, Frédéric Armetta, Mathieu Guillermin, Stefan Duffner
2020	B	`conf`	Learning Arithmetic Operations With A Multistep Deep Learning. IJCNN Bastien Nollet, Mathieu Lefort, Frédéric Armetta
2019	A*	`conf`	The RoPE Scale: a Measure of How Empathic a Robot is Perceived. HRI Laurianne Charrier, Alisa Rieger, Alexandre Galdeano, Amélie Cordier, Mathieu Lefort, Salima Hassas
2017	J	`jnl`	Ajustement diffus et adaptatif de la consommation électrique résidentielle par un système multi-agent auto-adaptatif. Rev. d'Intelligence Artif. Victor Lequay, Mathieu Lefort, Saber Mansour, Salima Hassas
2016	—	`conf`	Ajustement Diffus et Adaptatif de la Consommation Électrique Résidentielle par un Système Multi-Agents. JFSMA Victor Lequay, Mathieu Lefort, Saber Mansour, Salima Hassas
2016	—	`conf`	Flexible Load Shedding Using Gossip Communication in a Multi-agents System. SASO Victor Lequay, Mathieu Lefort, Saber Mansour, Salima Hassas
2016	—	`conf`	Learning to be attractive: Probabilistic computation with dynamic attractor networks. ICDL-EPIROB Alexander Gepperth, Mathieu Lefort
2015	—	`conf`	Active learning of local predictable representations with artificial curiosity. ICDL-EPIROB Mathieu Lefort, Alexander Gepperth
2015	—	`conf`	Biologically inspired incremental learning for high-dimensional spaces. ICDL-EPIROB Alexander Gepperth, Thomas Hecht, Mathieu Lefort, Ursula Körner
2015	B	`conf`	Learning of local predictable representations in partially learnable environments. IJCNN Mathieu Lefort, Alexander Gepperth
2015	B	`conf`	Resource-efficient Incremental learning in very high dimensions. ESANN Alexander Gepperth, Mathieu Lefort, Thomas Hecht
2015	B	`conf`	Using self-organizing maps for regression: the importance of the output function. ESANN Thomas Hecht, Mathieu Lefort, Alexander Gepperth
2014	B	`conf`	Discrimination of visual pedestrians data by combining projection and prediction learning. ESANN Mathieu Lefort, Alexander Gepperth
2014	C	`conf`	Latency-Based Probabilistic Information Processing in Recurrent Neural Hierarchies. ICANN Alexander Gepperth, Mathieu Lefort
2014	—	`conf`	Multimodal space representation driven by self-evaluation of predictability. ICDL-EPIROB Mathieu Lefort, Thomas Kopinski, Alexander Gepperth
2014	B	`conf`	PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination. IJCNN Mathieu Lefort, Alexander Gepperth
2013	B	`conf`	SOMMA: Cortically inspired paradigms for multimodal processing. IJCNN Mathieu Lefort, Yann Boniface, Bernard Girau
2012	—	`—`	Apprentissage spatial de corrélations multimodales par des mécanismes d'inspiration corticale. (Spatial learning of multimodal correlations in a cortically inspired way). Mathieu Lefort
2011	—	`conf`	Unlearning in the BCM Learning Rule for Plastic Self-organization in a Multi-modal Architecture. ICANN (1) Mathieu Lefort, Yann Boniface, Bernard Girau