2022-ongoing |
Pierre-Elliott Thiboud
Funding |
Cifre Previa Medical |
Co-advisors |
NMickaël Sdika, Nicolas Duchateau |
Title |
Structure and explicability of neural networks for sepsis prevention |
|
2021-ongoing |
Alexandre Devillers
Funding |
Ministerial grand |
Co-advisors |
Salima Hassas |
Title |
Deep and active learning of sensori-motor contingencies for robust and efficient representations |
|
2020-2023 |
Anaëlle Badier
Funding |
Cifre Nomad Education |
Co-advisors |
Nathalie Guin, Marie Lefevre |
Title |
Adaptive Learning in an extracurricular context: recommendation models and trace analysis of an industrial deployment for continuous improvement of the personalization process |
|
2018-2022 |
Ruiqi Dai
Funding |
Ministerial grand |
Co-advisors |
Stefan Duffner, Frédéric Armetta, Mathieu Guillermin |
Title |
Continual class-incremental learning for autonomous object recognition in image sequences |
|
2018-2022 |
Simon Forest
Funding |
AMPLIFIER project |
Co-advisor |
Jean-Charles Quinton |
Title |
Topologies in neuro-inspired multimodal perception: learning, fusion and decision making |
|
2017-2020 |
Alexandre Galdeano
Funding |
Cifre Hoomano |
Co-advisors |
Salima Hassas, Amélie Cordier |
Title |
Developmental learning of behaviors suggesting empathy in social robots |
|
2016-2019 |
Victor Lequay
Funding |
Cifre Ubiant |
Co-advisor |
Salima Hassas |
Title |
A bottom-up approach to energy management in a smart grid: adaptive and reactive model using a decentralized architecture for a generic user-centered system enabling large scale deployments |
|
2023 |
Léo Schneider
Co-advisor |
Stefan Duffner, Alexandre Devillers |
Title |
Variationnal Contrastive Learning |
|
2023 |
Yoann Ait-Ichou
Co-advisor |
Stefan Duffner, Antoine Louchart |
Title |
Deep learning models for birds representations |
|
2021 |
Alexandre Devillers
Title |
Deep sensori-motor representation learning for an autonomous agent |
|
2021 |
José Villamar
Co-advisor |
Jean-Charles Quinton, Simon Forest |
Title |
Visual decision making: towards a unified formalism of computational models |
|
2021 |
Étienne Vareille
Title |
General deep multimodal learning |
|
2020 |
Valentin Chaffraix
Co-advisor |
Stefan Duffner, Frédéric Armetta, Mathieu Guillermin |
Title |
Deep neural networks for unsupervised sensori-motor representation learning |
|
2020 |
Anaëlle Badier
Co-advisor |
Marie Lefevre |
Title |
Adaptive learning & Learning Analytics : new dimensions for content personalization |
|
2019 |
Nicolas Condometti
Co-advisor |
Salima Hassas, Yukie Nagai, Stephan Heinrich |
Title |
Emotion classification with predictive coding |
|
2019 |
Christophe Techer
Co-advisor |
Marie Lefevre |
Title |
Automatic generation of questions with or without difficulty settings |
|
2019 |
Nathan Gauthier
Co-advisor |
Brice Denoun |
Title |
Deep multimodal learning for social robotics |
|
2018 |
Simon Forest
Co-advisor |
Jean-Charles Quinton |
Title |
Multimodal merging for social robots |
|
2018 |
Pierre Couy
Co-advisors |
Alexandre Meyer, Frédéric Armetta |
Title |
Deep learning and style transfer applied to skeleton based animation |
|
2018 |
Étienne Desbois
Co-advisors |
Alexandre Meyer, Frédéric Armetta |
Title |
Neural style transfer and synthesis for Human motion data |
|
2018 |
Louis Manhès
Co-advisors |
Stefan Duffner, Frédéric Armetta |
Title |
Autonomous object recognition with deep developmental learning |
|
2018 |
Brice Denoun
Co-advisor |
Amélie Cordier |
Title |
Multimodal Learning for social robots |
|
2017 |
Florent Gattoni
Co-advisors |
Alexandre Meyer, Frédéric Armetta |
Title |
Deep learning for virtual human animation and style transfer |
|
2017 |
Nawel Medjkoune
Co-advisors |
Stefan Duffner, Frédéric Armetta |
Title |
Autonomous object recognition in videos using
neural networks and constructivist learning |
|
2017 |
Tom Dusséaux
Co-advisor |
Frédéric Armetta |
Title |
Analysis of an artificial curiosity algorithm |
|
2016 |
Quentin Bouchon
Co-advisor |
Salima Hassas |
Title |
A virtual assistant in a smart environment: application to smart vehicles |
|
2015 |
Maxime Bucher
Co-advisor |
Alexander Gepperth |
Title |
Distributed multimodal representations: functional properties and scalability |
|