| The quijote simulations F Villaescusa-Navarro, CH Hahn, E Massara, A Banerjee, AM Delgado, ... The Astrophysical Journal Supplement Series 250 (1), 2, 2020 | 38 | 2020 |
| Recurrent neural networks for adaptive feature acquisition G Contardo, L Denoyer, T Artières International Conference on Neural Information Processing, 591-599, 2016 | 23 | 2016 |
| A meta-learning approach to one-step active learning G Contardo, L Denoyer, T Artières AutoML Workshop @ ECML-PKDD, 2017 | 16 | 2017 |
| Sequential cost-sensitive feature acquisition G Contardo, L Denoyer, T Artières International Symposium on Intelligent Data Analysis, 284-294, 2016 | 12 | 2016 |
| Representation learning for cold-start recommendation G Contardo, L Denoyer, T Artieres ICLR Workshop 2015, 2014 | 10 | 2014 |
| Gravitational-wave population inference with deep flow-based generative network KWK Wong, G Contardo, S Ho Physical Review D 101 (12), 123005, 2020 | 9 | 2020 |
| 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 | 9* | 2019 |
| Learning states representations in pomdp G Contardo, L Denoyer, T Artieres, P Gallinari ICLR workshop 2014, 2013 | 9 | 2013 |
| Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. A Ziat, G Contardo, N Baskiotis, L Denoyer ESANN, 2016 | 5 | 2016 |
| The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations F Villaescusa-Navarro, D Anglés-Alcázar, S Genel, DN Spergel, ... arXiv preprint arXiv:2010.00619, 2020 | 2 | 2020 |
| Machine learning under budget constraints G Contardo Université Pierre et Marie Curie-Paris VI, 2017 | 2 | 2017 |
| Car-traffic forecasting: A representation learning approach A Ziat, G Contardo, N Baskiotis, L Denoyer MUD@ ICML, 2015 | 1 | 2015 |
| The Super-Earth to Sub-Neptune Fraction as a Function of Stellar Age A Sandoval, T David, G Contardo American Astronomical Society Meeting Abstracts 53 (1), 531.05, 2021 | | 2021 |
| The Influence of Age on the Relative Frequency of Super-Earths and Sub-Neptunes A Sandoval, G Contardo, TJ David arXiv preprint arXiv:2012.09239, 2020 | | 2020 |
| Small Planet Sizes Evolve Over Billions of Years TJ David, G Contardo, A Sandoval, R Angus, M Bedell, JL Curtis, ... arXiv preprint arXiv:2011.09894, 2020 | | 2020 |
| Anomaly Detection for Multivariate Time Series of Exotic Supernovae VA Villar, M Cranmer, G Contardo, S Ho, JYY Lin arXiv preprint arXiv:2010.11194, 2020 | | 2020 |
| Meta-Learning for Anomaly Classification with Set Equivariant Networks: 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 | | 2020 |
| Dalek--a deep-learning emulator for TARDIS WE Kerzendorf, C Vogl, J Buchner, G Contardo, M Williamson, ... arXiv preprint arXiv:2007.01868, 2020 | | 2020 |
| Classification of binary stars from light curves G Contardo, R Angus, R Luger American Astronomical Society Meeting Abstracts# 233 233, 235.06, 2019 | | 2019 |
| Representation Learning for Completion and Prediction over Relational Temporal Data A Ziat, G Contardo, N Baskiotis, L Denoyer | | 2015 |
