68 citations · 127 across the 5 of their papers we have counts for
5 papers
Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets
Florian Lalande, Elizabeth Tasker, Kenji Doya
The exoplanet archive is an incredible resource of information on the properties of discovered extrasolar planets, but statistical analysis has been limited by the number of missin…
A Transformer Model for Symbolic Regression towards Scientific Discovery
Florian Lalande, Yoshitomo Matsubara, Naoya Chiba +3
Symbolic Regression (SR) searches for mathematical expressions which best describe numerical datasets. This allows to circumvent interpretation issues inherent to artificial neural…
Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks
Florian Lalande, Alessandro Alberto Trani
Understanding the long-term evolution of hierarchical triple systems is challenging due to its inherent chaotic nature, and it requires computationally expensive simulations. Here…
Distinguishing standard and modified gravity cosmologies with machine learning
Austin Peel, Florian Lalande, Jean-Luc Starck +5
We present a convolutional neural network to classify distinct cosmological scenarios based on the statistically similar weak-lensing maps they generate. Modified gravity (MG) mode…
On the dissection of degenerate cosmologies with machine learning
Julian Merten, Carlo Giocoli, Marco Baldi +5
Based on the DUSTGRAIN-pathfinder suite of simulations, we investigate observational degeneracies between nine models of modified gravity and massive neutrinos. Three types of mach…