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Charline Le Lan
Charline Le Lan
Google DeepMind, Research Scientist
Adresă de e-mail confirmată pe google.com
Titlu
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Citat de
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
35722023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
14082024
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
11442024
Gemma 2: Improving open language models at a practical size
G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ...
arXiv preprint arXiv:2408.00118, 2024
5672024
Continuous Hierarchical Representations with Poincar\'e Variational Auto-Encoders
E Mathieu, C Le Lan, CJ Maddison, R Tomioka, YW Teh
Advances in Neural Information Processing Systems (NeurIPS19), 2019
238*2019
Lietransformer: Equivariant self-attention for lie groups
MJ Hutchinson*, C Le Lan*, S Zaidi*, E Dupont, YW Teh, H Kim
International Conference on Machine Learning (ICML21), *equal contribution, 2021
130*2021
Perfect density models cannot guarantee anomaly detection
C Le Lan, L Dinh
Journal Entropy, ICBINB NeurIPS20 Workshop (Entropic Award,Oral); arXiv …, 2021
582021
On the Generalization of Representations in Reinforcement Learning
C Le Lan, S Tu, A Oberman, R Agarwal, MG Bellemare
International Conference on Artificial Intelligence and Statistics (AISTATS22), 2022
382022
Human alignment of large language models through online preference optimisation
D Calandriello, D Guo, R Munos, M Rowland, Y Tang, BA Pires, ...
arXiv preprint arXiv:2403.08635, 2024
372024
Understanding Self-Predictive Learning for Reinforcement Learning
Y Tang, ZD Guo, PH Richemond, BÁ Pires, Y Chandak, R Munos, ...
International Conference on Machine Learning (ICML23), 2023
342023
Metrics and continuity in reinforcement learning
C Le Lan, MG Bellemare, PS Castro
AAAI Conference on Artificial Intelligence 35, (AAAI21), 2021
342021
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
J Farebrother*, J Greaves*, R Agarwal, C Le Lan, R Goroshin, PS Castro, ...
International Conference on Learning Representations (ICLR23), *equal …, 2023
30*2023
Bootstrapped Representations in Reinforcement Learning
C Le Lan, S Tu, M Rowland, A Harutyunyan, R Agarwal, MG Bellemare, ...
International Conference on Machine Learning (ICML23), 2023
82023
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
C Le Lan, J Greaves, J Farebrother, M Rowland, F Pedregosa, R Agarwal, ...
International Conference on Artificial Intelligence and Statistics (AISTATS23), 2023
62023
Revisiting Bisimulation: A Sampling-Based State Similarity Pseudo-metric
C Le Lan, R Agarwal
ICLR 2023 Tiny Papers, 2023
22023
Understanding representation learning for deep reinforcement learning
C Le Lan
PhD thesis, 2023
2023
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