Sotabase

Career

· Research Scientist, Google DeepMind2023–
· Research Scientist Intern, Google DeepMind2022–2023
· Student Researcher, Google2021–2022
· Research Intern, Google2019–2019
· Student Researcher, Google2019–2020
· Teaching Assistant, University of Oxford2019–2019
· Part-time Consultant, EDF Energy Services2017–2017
· Data Analyst Associate, fifty-five2017–2017
· Part-time Consultant, LITA.co2017–2017
· École Centrale Paris, Diplôme d'Ingénieur, Applied Mathematics, CentraleSupélec2015–2018
· Part-time Software Developper, EVER2015–2016
· Mathematics, Physics, Computer Science, Lycée Louis-le-Grand2013–2015

Publications (41)

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
arXiv.org · 2024
3,137
cited
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv.org · 2025
1,636
cited
Gemma 2: Improving Open Language Models at a Practical Size
arXiv.org · 2024
1,634
cited
Gemma 3 Technical Report
arXiv.org · 2025
882
cited
Gemma: Open Models Based on Gemini Research and Technology
arXiv.org · 2024
875
cited
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
Neural Information Processing Systems · 2019
199
cited
LieTransformer: Equivariant self-attention for Lie Groups
International Conference on Machine Learning · 2020
128
cited
Human Alignment of Large Language Models through Online Preference Optimisation
International Conference on Machine Learning · 2024
88
cited
Perfect Density Models Cannot Guarantee Anomaly Detection
Entropy · 2020
54
cited
Understanding Self-Predictive Learning for Reinforcement Learning
International Conference on Machine Learning · 2022
43
cited
Metrics and continuity in reinforcement learning
AAAI Conference on Artificial Intelligence · 2021
39
cited
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
International Conference on Learning Representations · 2023
37
cited
Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study
North American Chapter of the Association for Computational Linguistics · 2025
36
cited
On the Generalization of Representations in Reinforcement Learning
International Conference on Artificial Intelligence and Statistics · 2022
36
cited
Hierarchical Representations with Poincaré Variational Auto-Encoders
arXiv.org · 2019
19
cited
Bootstrapped Representations in Reinforcement Learning
International Conference on Machine Learning · 2023
12
cited
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
North American Chapter of the Association for Computational Linguistics · 2025
12
cited
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
International Conference on Artificial Intelligence and Statistics · 2022
8
cited
Large Language Models as a Normalizer for Transliteration and Dialectal Translation
COLING Workshops · 2025
8
cited
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai
Annual Meeting of the Association for Computational Linguistics · 2024
5
cited
Sotabase
Charline Le Lan | Researcher Profile | Sotabase | Sotabase