Marvin Lavechin
Scholar

Marvin Lavechin

Google Scholar ID: QvKvn9sAAAAJ
Ecole Normale Supérieure, Meta AI
Cognitive SciencesArtificial IntelligencePsycholinguisticsDeep LearningMultimodality
Citations & Impact
All-time
Citations
1,047
 
H-index
14
 
i10-index
15
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • 1. Paper 'Simulating Early Phonetic and Word Learning Without Linguistic Categories' published in Developmental Science, 2025.
  • 2. Paper 'Modeling the initial state of early phonetic learning in infants' published in Language Development Research, 2024.
  • 3. Paper 'Decode, move and speak! Self-supervised learning of speech units, gestures, and sound relationships using vocal imitation' published in Computational Linguistics, 2024.
  • 4. Paper 'Modeling early phonetic acquisition from child-centered audio data' published in Cognition, 2024.
Research Experience
  • Currently a Simons postdoctoral fellow at the Computational Psycholinguistics lab, MIT, under the supervision of Roger Levy and Elika Bergelson. Formerly, worked at Meta AI, LSCP (Paris, France), and GIPSA (Grenoble, France).
Education
  • Ph.D. from GIPSA, Grenoble, France, defended in September 2023.
Background
  • Research Interests: Intersection of Artificial Intelligence and Cognitive Sciences. Research focuses on language development in infants and machines, particularly developing and democratizing artificial neural networks for automatic analysis of children's language environment and linguistic production (supervised learning), and running human-inspired computer simulations to build more efficient algorithms and identify mechanisms driving language acquisition in infants (unsupervised/self-supervised learning). Field: Computational Psycholinguistics.
Miscellany
  • Personal interests not mentioned