Scholar
Clément Moulin-Frier
Google Scholar ID: rBnV60QAAAAJ
Inria (Flowers group)
Citations & Impact
Citations
1,067
H-index
16
i10-index
25
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- 2020: Published 'Emergent Jaw Predominance in Vocal Development through Stochastic Optimization' in IEEE Transactions on Cognitive and Developmental Systems.
- 2020: Published 'Modeling the Formation of Social Conventions from Embodied Real-Time Interactions' in PLOS ONE.
- 2020: Published 'Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities' in Frontiers in Big Data.
- 2019: Published 'From Motor to Visually Guided Bimanual Affordance Learning' in Adaptive Behavior.
- 2018: Published 'The Morphospace of Consciousness' as an arXiv preprint.
- 2018: Work related to iCub-HRI software framework (incomplete listing)
Research Experience
- 2019-present: Flowers lab, Inria, Bordeaux, permanent researcher, principal investigator of ORIGINS and ECOCURL projects.
- 2017-2019: Cogitai Inc., USA, research scientist.
- 2015-2017: SPECS laboratory, UPF, Barcelona, post-doctoral researcher, involved in WYSIWYD, INSOCO, SocSMCs, and CDAC projects.
- 2012-2014: Flowers lab, Inria, Bordeaux, researcher, focused on self-organisation of early vocal development.
- 2011: LPPA, Collège de France -- CNRS, Paris, post-doctoral researcher, ROMEO project.
- 2009: USC Brain Project, Los Angeles, visiting scholar, researched recognizing speech in a novel accent.
- 2007-2011: GIPSA-Lab, Speech and Cognition Department, Grenoble, Ph.D. student and teaching assistant, worked on COSMO project and Bayesian model of speech communication.
Education
- Ph.D. in Engineering of Cognition, Interaction, Learning, and Creation from GIPSA-Lab, Speech and Cognition Department, Grenoble, under the supervision of Pierre-Yves Oudeyer; Master's in Computer Science, Master's in Cognitive Science, and Bachelor's in Mathematics and Computer Science from the University of Grenoble (2000-2007).
Background
- Research interests include cognition, interaction, learning, and creation. Focuses on studying emergent communication through curiosity-driven multi-agent reinforcement learning.
Miscellany
- No additional information provided