Gabriella Contardo

ORCID

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 13

Top Venues

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

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
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. CoRR (2021)
V. Ashley Villar, Miles D. Cranmer, Edo Berger, Gabriella Contardo, Shirley Ho, Griffin Hosseinzadeh, Joshua Yao-Yu Lin
A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients. CoRR (2021)
Wolfgang E. Kerzendorf, Christian Vogl, Johannes Buchner, Gabriella Contardo, Marc Williamson, Patrick van der Smagt
Dalek - a deep-learning emulator for TARDIS. CoRR (2020)
Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles D. Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo
Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way. CoRR (2020)
V. Ashley Villar, Miles D. Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin
Anomaly Detection for Multivariate Time Series of Exotic Supernovae. CoRR (2020)
Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Siyu He, Gabriella Contardo, Francisco Villaescusa-Navarro, Shirley Ho
From Dark Matter to Galaxies with Convolutional Networks. CoRR (2019)
Jacky H. T. Yip, Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Gabriella Contardo, Francisco Villaescusa-Navarro, Siyu He, Shy Genel, Shirley Ho
From Dark Matter to Galaxies with Convolutional Neural Networks. CoRR (2019)
Gabriella Contardo, Ludovic Denoyer, Thierry Artières
A Meta-Learning Approach to One-Step Active-Learning. AutoML@PKDD/ECML (2017)
Gabriella Contardo, Ludovic Denoyer, Thierry Artières
A Meta-Learning Approach to One-Step Active Learning. CoRR (2017)
Gabriella Contardo, Ludovic Denoyer, Thierry Artières
Sequential Cost-Sensitive Feature Acquisition. IDA (2016)
Gabriella Contardo, Ludovic Denoyer, Thierry Artières
Recurrent Neural Networks for Adaptive Feature Acquisition. ICONIP (3) (2016)
Gabriella Contardo, Ludovic Denoyer, Thierry Artières
Sequential Cost-Sensitive Feature Acquisition. CoRR (2016)
Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer
Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. ESANN (2016)
Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer
Car-Traffic Forecasting: A Representation Learning Approach. MUD@ICML (2015)
Gabriella Contardo, Ludovic Denoyer, Thierry Artières
Representation Learning for cold-start recommendation. ICLR (Workshop) (2015)
Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari
Learning States Representations in POMDP. ICLR (Workshop Poster) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gabriella Contardo