Jean-Loup Tastet

According to our database, Jean-Loup Tastet authored at least 3 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Learning to detect continuous gravitational waves: an open data-analysis competition.

Rodrigo Tenorio, Michael J. Williams, J. Bayley, Chris Messenger, M. Demkin, W. Reade, J. Koda, Y. Yamakawa, T. Yamaguchi, K. Abe, C. Achard, H. S. T. Bukhari, M. V. Shugaev, G. Sokolov, H. Yoshihara, V. Debout, S. Goulet, Jean-Loup Tastet, Inar Timiryasov, Oleg Ruchayskiy, D. Kanonik, S. Seferbekov, S. Saito, R. Sato, S. Segawa, A Zhyvalkouski, Y. Uchida, S. Yokoi, A Sayed, R.-Q. Xing, I Yamashita, Z. Wang

Mach. Learn. Sci. Technol., 2025

2024

BabyLlama-2: Ensemble-Distilled Models Consistently Outperform Teachers With Limited Data.

Jean-Loup Tastet, Inar Timiryasov

CoRR, 2024

2023

Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty.

Inar Timiryasov, Jean-Loup Tastet

CoRR, 2023