Gabriella Contardo
Cited by
Cited by
The quijote simulations
F Villaescusa-Navarro, CH Hahn, E Massara, A Banerjee, AM Delgado, ...
The Astrophysical Journal Supplement Series 250 (1), 2, 2020
The camels project: Cosmology and astrophysics with machine-learning simulations
F Villaescusa-Navarro, D Anglés-Alcázar, S Genel, DN Spergel, ...
The Astrophysical Journal 915 (1), 71, 2021
A meta-learning approach to one-step active learning
G Contardo, L Denoyer, T Artières
AutoML Workshop @ ECML-PKDD, 2017
Evolution of the Exoplanet Size Distribution: Forming Large Super-Earths Over Billions of Years
TJ David, G Contardo, A Sandoval, R Angus, YL Lu, M Bedell, JL Curtis, ...
The Astronomical Journal 161 (6), 265, 2021
The camels multifield data set: Learning the universe’s fundamental parameters with artificial intelligence
F Villaescusa-Navarro, S Genel, D Angles-Alcazar, L Thiele, R Dave, ...
The Astrophysical Journal Supplement Series 259 (2), 61, 2022
Recurrent neural networks for adaptive feature acquisition
G Contardo, L Denoyer, T Artières
Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016
Gravitational-wave population inference with deep flow-based generative network
KWK Wong, G Contardo, S Ho
Physical Review D 101 (12), 123005, 2020
A deep-learning approach for live anomaly detection of extragalactic transients
VA Villar, M Cranmer, E Berger, G Contardo, S Ho, G Hosseinzadeh, ...
The Astrophysical Journal Supplement Series 255 (2), 24, 2021
From Dark Matter to Galaxies with Convolutional Neural Networks
JHT Yip, X Zhang, Y Wang, W Zhang, Y Sun, G Contardo, ...
Machine Learning and the Physical Sciences @ NeurIPS, 2019
Sequential cost-sensitive feature acquisition
G Contardo, L Denoyer, T Artières
Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA …, 2016
The Influence of Age on the Relative Frequency of Super-Earths and Sub-Neptunes
A Sandoval, G Contardo, TJ David
The Astrophysical Journal 911 (2), 117, 2021
Further Evidence of Modified Spin-down in Sun-like Stars: Pileups in the Temperature–Period Distribution
TJ David, R Angus, JL Curtis, JL van Saders, IL Colman, G Contardo, ...
The Astrophysical Journal 933 (1), 114, 2022
Representation learning for cold-start recommendation
G Contardo, L Denoyer, T Artieres
ICLR Workshop 2015, 2014
Finding universal relations in subhalo properties with artificial intelligence
H Shao, F Villaescusa-Navarro, S Genel, DN Spergel, D Anglés-Alcázar, ...
The Astrophysical Journal 927 (1), 85, 2022
Learning states representations in pomdp
G Contardo, L Denoyer, T Artieres, P Gallinari
ICLR workshop 2014, 2013
Dalek: A Deep Learning Emulator for TARDIS
WE Kerzendorf, C Vogl, J Buchner, G Contardo, M Williamson, ...
The Astrophysical Journal Letters 910 (2), L23, 2021
Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series.
A Ziat, G Contardo, N Baskiotis, L Denoyer
ESANN, 2016
Anomaly Detection for Multivariate Time Series of Exotic Supernovae
VA Villar, M Cranmer, G Contardo, S Ho, JYY Lin
Machine Learning and the Physical Sciences Workshop at NeurIPS., 2020
Machine learning under budget constraints
G Contardo
Université Pierre et Marie Curie-Paris VI, 2017
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network: Application in the Milky Way
A Oladosu, T Xu, P Ekfeldt, BA Kelly, M Cranmer, S Ho, AM Price-Whelan, ...
arXiv preprint arXiv:2007.04459, 2020
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