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2020 – today
- 2021
[i9]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 abs/2103.12102 (2021)- [i8]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 abs/2109.10915 (2021) - 2020
- [i7]Wolfgang E. Kerzendorf, Christian Vogl, Johannes Buchner, Gabriella Contardo, Marc Williamson, Patrick van der Smagt:
Dalek - a deep-learning emulator for TARDIS. CoRR abs/2007.01868 (2020) - [i6]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 abs/2007.04459 (2020) - [i5]V. Ashley Villar, Miles D. Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin:
Anomaly Detection for Multivariate Time Series of Exotic Supernovae. CoRR abs/2010.11194 (2020)
2010 – 2019
- 2019
- [i4]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 abs/1902.05965 (2019) - [i3]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 abs/1910.07813 (2019) - 2017
- [b1]Gabriella Contardo:
Machine learning under budget constraints. (Apprentissage statistique sous contraintes de budget). Pierre and Marie Curie University, Paris, France, 2017 - [c7]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
A Meta-Learning Approach to One-Step Active-Learning. AutoML@PKDD/ECML 2017: 28-40 - [i2]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
A Meta-Learning Approach to One-Step Active Learning. CoRR abs/1706.08334 (2017) - 2016
- [c6]Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer:
Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. ESANN 2016 - [c5]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Recurrent Neural Networks for Adaptive Feature Acquisition. ICONIP (3) 2016: 591-599 - [c4]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Sequential Cost-Sensitive Feature Acquisition. IDA 2016: 284-294 - [i1]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Sequential Cost-Sensitive Feature Acquisition. CoRR abs/1607.03691 (2016) - 2015
- [c3]Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer:
Car-Traffic Forecasting: A Representation Learning Approach. MUD@ICML 2015: 85-87 - [c2]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Representation Learning for cold-start recommendation. ICLR (Workshop) 2015 - 2014
- [c1]Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari:
Learning States Representations in POMDP. ICLR (Workshop Poster) 2014
Coauthor Index
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