On the dissection of degenerate cosmologies with machine learning. - Julian Merten; Carlo Giocoli; Marco Baldi; Massimo Meneghetti; Austin Peel; Florian Lalande; Jean-Luc Starck; Valeria Pettorino (CoRR, 2018)

Numerical Data Imputation: Choose kNN over Deep Learning. - Florian Lalande; Kenji Doya (SISAP, 2022)

Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks. - Florian Lalande; Alessandro Alberto Trani (CoRR, 2022)

A Transformer Model for Symbolic Regression towards Scientific Discovery. - Florian Lalande; Yoshitomo Matsubara; Naoya Chiba; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku (CoRR, 2023)

Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach. - Florian Lalande; Kenji Doya (Trans. Mach. Learn. Res., 2023)

Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets. - Florian Lalande; Elizabeth Tasker; Kenji Doya (CoRR, 2024)