Search Results - "Lalande, Florian"

Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks by Lalande, Florian, Trani, Alessandro Alberto

“…Abstract The dynamical stability of hierarchical triple systems is a long-standing question in celestial mechanics and dynamical astronomy. Assessing the…”
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Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets by Lalande, Florian, Tasker, Elizabeth, Doya, Kenji

“…The exoplanet archive is an incredible resource of information on the properties of discovered extrasolar planets, but statistical analysis has been limited by…”
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On the dissection of degenerate cosmologies with machine learning by Merten, Julian, Giocoli, Carlo, Baldi, Marco, Meneghetti, Massimo, Peel, Austin, Lalande, Florian, Starck, Jean-Luc, Pettorino, Valeria

“…Based on the dustgrain-pathfinder suite of simulations, we investigate observational degeneracies between nine models of modified gravity and massive…”
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Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach by Lalande, Florian, Doya, Kenji

“…Transactions on Machine Learning Research, June 2023 Numerical data imputation algorithms replace missing values by estimates to leverage incomplete data sets…”
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Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets by Lalande, Florian, Tasker, Elizabeth, Doya, Kenji

“…The exoplanet archive is an incredible resource of information on the properties of discovered extrasolar planets, but statistical analysis has been limited by…”
Get full text

Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks by Lalande, Florian, Trani, Alessandro Alberto

“…Understanding the long-term evolution of hierarchical triple systems is challenging due to its inherent chaotic nature, and it requires computationally…”
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A Transformer Model for Symbolic Regression towards Scientific Discovery by Lalande, Florian, Matsubara, Yoshitomo, Chiba, Naoya, Taniai, Tatsunori, Igarashi, Ryo, Ushiku, Yoshitaka

“…Symbolic Regression (SR) searches for mathematical expressions which best describe numerical datasets. This allows to circumvent interpretation issues inherent…”
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Distinguishing standard and modified gravity cosmologies with machine learning by Peel, Austin, Lalande, Florian, Starck, Jean-Luc, Pettorino, Valeria, Merten, Julian, Giocoli, Carlo, Meneghetti, Massimo, Baldi, Marco

“…Phys. Rev. D 100, 023508 (2019) We present a convolutional neural network to classify distinct cosmological scenarios based on the statistically similar…”
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On the dissection of degenerate cosmologies with machine learning by Merten, Julian, Giocoli, Carlo, Baldi, Marco, Meneghetti, Massimo, Peel, Austin, Lalande, Florian, Starck, Jean-Luc, Pettorino, Valeria

“…Based on the DUSTGRAIN-pathfinder suite of simulations, we investigate observational degeneracies between nine models of modified gravity and massive…”
Get full text