Gabriella Contardo

According to our database, Gabriella Contardo authored at least 15 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence.

Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Leander Thiele, Romeel Dave, Desika Narayanan, Andrina Nicola, Yin Li, Pablo Villanueva-Domingo, Benjamin D. Wandelt, David N. Spergel, Rachel S. Somerville, José Manuel Zorrilla Matilla, Faizan G. Mohammad, Sultan Hassan, Helen Shao, Digvijay Wadekar, Michael Eickenberg, Kaze W. K. Wong, Gabriella Contardo, Yongseok Jo, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Lucia A. Perez, Daisuke Nagai, Nicholas Battaglia, Mark Vogelsberger

CoRR, 2021

A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients.

V. Ashley Villar, Miles D. Cranmer, Edo Berger, Gabriella Contardo, Shirley Ho, Griffin Hosseinzadeh, Joshua Yao-Yu Lin

CoRR, 2021

2020

Anomaly Detection for Multivariate Time Series of Exotic Supernovae.

V. Ashley Villar, Miles D. Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin

CoRR, 2020

Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way.

Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles D. Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo

CoRR, 2020

Dalek - a deep-learning emulator for TARDIS.

Wolfgang E. Kerzendorf, Christian Vogl, Johannes Buchner, Gabriella Contardo, Marc Williamson, Patrick van der Smagt

CoRR, 2020

2019

From Dark Matter to Galaxies with Convolutional Neural Networks.

Jacky H. T. Yip, Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Gabriella Contardo, Francisco Villaescusa-Navarro, Siyu He, Shy Genel, Shirley Ho

CoRR, 2019

From Dark Matter to Galaxies with Convolutional Networks.

Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Siyu He, Gabriella Contardo, Francisco Villaescusa-Navarro, Shirley Ho

CoRR, 2019

2017

Machine learning under budget constraints. (Apprentissage statistique sous contraintes de budget).

Gabriella Contardo

PhD thesis, 2017

A Meta-Learning Approach to One-Step Active-Learning.

Gabriella Contardo, Ludovic Denoyer, Thierry Artières

Proceedings of the International Workshop on Automatic Selection, 2017

2016

Sequential Cost-Sensitive Feature Acquisition.

Gabriella Contardo, Ludovic Denoyer, Thierry Artières

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Recurrent Neural Networks for Adaptive Feature Acquisition.

Gabriella Contardo, Ludovic Denoyer, Thierry Artières

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series.

Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Representation Learning for cold-start recommendation.

Gabriella Contardo, Ludovic Denoyer, Thierry Artières

Proceedings of the 3rd International Conference on Learning Representations, 2015

Car-Traffic Forecasting: A Representation Learning Approach.

Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer

Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

2014

Learning States Representations in POMDP.

Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari

Proceedings of the 2nd International Conference on Learning Representations, 2014