Mathieu Lefort

ORCID

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 23

Top Venues

Nancy 2 University, France (PHD)

Education History

Nancy 2 University, France

PHD

Publications

Alexandre Devillers, Mathieu Lefort
EquiMod: An Equivariance Module to Improve Visual Instance Discrimination. ICLR (2023)
Anaëlle Badier, Mathieu Lefort, Marie Lefèvre
Recommendation Model for an After-School E-learning Mobile Application. CSEDU (2) (2023)
Lucien Tisserand, Frédéric Armetta, Heike Baldauf-Quilliatre, Antoine Bouquin, Salima Hassas, Mathieu Lefort
Sequential annotations for naturally-occurring HRI: first insights. CoRR (2023)
Frédéric Armetta, Anthony Baccuet, Mathieu Lefort
L'apprentissage algorithmique, une nouvelle étape pour l'IA. Une application aux opérations arithmétiques. CNIA (2023)
Anaëlle Badier, Mathieu Lefort, Marie Lefèvre
Understanding the Usages and Effects of a Recommendation System in a Non-formal Learning Context. ITS (2023)
Simon Forest, Jean-Charles Quinton, Mathieu Lefort
Champ neuronal et apprentissage profond de topologies pour la fusion multimodale. CNIA (2023)
Alexandre Devillers, Mathieu Lefort
EquiMod: An Equivariance Module to Improve Self-Supervised Learning. CoRR (2022)
Simon Forest, Jean-Charles Quinton, Mathieu Lefort
A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect. Neural Comput. 34 (8) (2022)
Alexandre Devillers, Valentin Chaffraix, Frédéric Armetta, Stefan Duffner, Mathieu Lefort
The Impact of Action in Visual Representation Learning. ICDL (2022)
Simon Forest, Jean-Charles Quinton, Mathieu Lefort
Combining Manifold Learning and Neural Field Dynamics for Multimodal Fusion. IJCNN (2022)
Ruiqi Dai, Mathieu Lefort, Frédéric Armetta, Mathieu Guillermin, Stefan Duffner
Self-supervised Continual Learning for Object Recognition in Image Sequences. ICONIP (5) (2021)
Ruiqi Dai, Mathieu Lefort, Frédéric Armetta, Mathieu Guillermin, Stefan Duffner
Novelty detection for unsupervised continual learning in image sequences. ICTAI (2021)
Bastien Nollet, Mathieu Lefort, Frédéric Armetta
Learning Arithmetic Operations With A Multistep Deep Learning. IJCNN (2020)
Laurianne Charrier, Alisa Rieger, Alexandre Galdeano, Amélie Cordier, Mathieu Lefort, Salima Hassas
The RoPE Scale: a Measure of How Empathic a Robot is Perceived. HRI (2019)
Victor Lequay, Mathieu Lefort, Saber Mansour, Salima Hassas
Ajustement diffus et adaptatif de la consommation électrique résidentielle par un système multi-agent auto-adaptatif. Rev. d'Intelligence Artif. 31 (4) (2017)
Victor Lequay, Mathieu Lefort, Saber Mansour, Salima Hassas
Ajustement Diffus et Adaptatif de la Consommation Électrique Résidentielle par un Système Multi-Agents. JFSMA (2016)
Alexander Gepperth, Mathieu Lefort
Learning to be attractive: Probabilistic computation with dynamic attractor networks. ICDL-EPIROB (2016)
Victor Lequay, Mathieu Lefort, Saber Mansour, Salima Hassas
Flexible Load Shedding Using Gossip Communication in a Multi-agents System. SASO (2016)
Thomas Hecht, Mathieu Lefort, Alexander Gepperth
Using self-organizing maps for regression: the importance of the output function. ESANN (2015)
Mathieu Lefort, Alexander Gepperth
Learning of local predictable representations in partially learnable environments. IJCNN (2015)
Alexander Gepperth, Thomas Hecht, Mathieu Lefort, Ursula Körner
Biologically inspired incremental learning for high-dimensional spaces. ICDL-EPIROB (2015)
Mathieu Lefort, Alexander Gepperth
Active learning of local predictable representations with artificial curiosity. ICDL-EPIROB (2015)
Alexander Gepperth, Mathieu Lefort, Thomas Hecht
Resource-efficient Incremental learning in very high dimensions. ESANN (2015)
Mathieu Lefort, Alexander Gepperth
PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination. IJCNN (2014)
Alexander Gepperth, Mathieu Lefort
Latency-Based Probabilistic Information Processing in Recurrent Neural Hierarchies. ICANN (2014)
Mathieu Lefort, Alexander Gepperth
Discrimination of visual pedestrians data by combining projection and prediction learning. ESANN (2014)
Mathieu Lefort, Thomas Kopinski, Alexander Gepperth
Multimodal space representation driven by self-evaluation of predictability. ICDL-EPIROB (2014)
Mathieu Lefort, Yann Boniface, Bernard Girau
SOMMA: Cortically inspired paradigms for multimodal processing. IJCNN (2013)
Mathieu Lefort, Yann Boniface, Bernard Girau
Unlearning in the BCM Learning Rule for Plastic Self-organization in a Multi-modal Architecture. ICANN (1) (2011)

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Publication Activity (10 Years)

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Mathieu Lefort