Mathieu Lefort

发表

Self-organization of neural maps using a modulated BCM rule within a multimodal architecture

Mathieu Lefort, Y. Boniface, B. Girau, 2010, BICS 2010.

Coupling BCM and neural fields for the emergence of self-organization consensus.

Mathieu Lefort, Y. Boniface, B. Girau, 2011, Advances in experimental medicine and biology.

Empathy Display Influence on Human-Robot Interactions: a Pilot Study

Amélie Cordier, Mathieu Lefort, Laurianne Charrier, 2018, IROS 2018.

New Software and Platforms - Learning algorithms

Olivier Mangin, Pierre-Yves Oudeyer, Didier Roy, 2013 .

Combining Manifold Learning and Neural Field Dynamics for Multimodal Fusion

Simon Forest, Mathieu Lefort, J. Quinton, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

The Impact of Action in Visual Representation Learning

S. Duffner, Mathieu Lefort, Alexandre Devillers, 2022, 2022 IEEE International Conference on Development and Learning (ICDL).

EquiMod: An Equivariance Module to Improve Self-Supervised Learning

Mathieu Lefort, Alexandre Devillers, 2022, ArXiv.

Towards Considering Explicit Sensitivity to Augmentation in Visual Instance Discrimination Tasks

Mathieu Lefort, Alexandre Devillers, 2022 .

Competition in high dimensional spaces using a sparse approximation of neural fields.

Bernard Girau, Jean-Charles Quinton, Mathieu Lefort, 2011, Advances in experimental medicine and biology.

Active learning of local predictable representations with artificial curiosity

Alexander Gepperth, Mathieu Lefort, Mathieu Lefort, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Novelty detection for unsupervised continual learning in image sequences

Stefan Duffner, Frederic Armetta, Mathieu Lefort, 2021, 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).

A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect

Simon Forest, Mathieu Lefort, J. Quinton, 2022, Neural Computation.

Biologically inspired incremental learning for high-dimensional spaces

Alexander Gepperth, Thomas Hecht, Ursula Körner, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Resource-efficient Incremental learning in very high dimensions

Alexander Gepperth, Thomas Hecht, Mathieu Lefort, 2015, ESANN.

Self-supervised Continual Learning for Object Recognition in Image Sequences

S. Duffner, Mathieu Lefort, Mathieu Guillermin, 2021, ICONIP.

Using self-organizing maps for regression: the importance of the output function

Alexander Gepperth, Thomas Hecht, Mathieu Lefort, 2015, ESANN.

EquiMod: An Equivariance Module to Improve Visual Instance Discrimination

Mathieu Lefort, Alexandre Devillers, 2022, ICLR.

The RoPE Scale: a Measure of How Empathic a Robot is Perceived

Salima Hassas, Amélie Cordier, Mathieu Lefort, 2019, 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Learning to be attractive: Probabilistic computation with dynamic attractor networks

Alexander Gepperth, Mathieu Lefort, Mathieu Lefort, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Latency-Based Probabilistic Information Processing in Recurrent Neural Hierarchies

Alexander Gepperth, Mathieu Lefort, Mathieu Lefort, 2014, ICANN.

Learning Arithmetic Operations With A Multistep Deep Learning

Frédéric Armetta, Mathieu Lefort, Bastien Nollet, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

SOMMA: Cortically inspired paradigms for multimodal processing

Bernard Girau, Yann Boniface, Mathieu Lefort, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Sequential annotations for naturally-occurring HRI: first insights

S. Hassas, Mathieu Lefort, Heike Baldauf-Quilliatre, 2023, ArXiv.

Recommendation Model for an After-School E-learning Mobile Application

Mathieu Lefort, Marie Lefèvre, A. Badier, 2023, CSEDU.

PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination

Alexander Gepperth, Mathieu Lefort, Mathieu Lefort, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Discrimination of visual pedestrians data by combining projection and prediction learning

Alexander Gepperth, Mathieu Lefort, Mathieu Lefort, 2014, ESANN.