Gabriella Contardo

20 papers B 2Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics. CoRR Sebastian Springer, Andre Scaffidi, Maximilian Autenrieth, Gabriella Contardo, Alessandro Laio, Roberto Trotta, Heikki Haario
2025	J	`jnl`	Rotary Masked Autoencoders are Versatile Learners. CoRR Uros Zivanovic, Serafina Di Gioia, Andre Scaffidi, Martín de los Rios, Gabriella Contardo, Roberto Trotta
2024	J	`jnl`	Cosmology with Persistent Homology: Parameter Inference via Machine Learning. CoRR Juan X. E. A. Calles, Jacky H. T. Yip, Gabriella Contardo, Jorge Noreña, Adam Rouhiainen, Gary Shiu
2021	J	`jnl`	A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients. CoRR V. Ashley Villar, Miles D. Cranmer, Edo Berger, Gabriella Contardo, Shirley Ho, Griffin Hosseinzadeh, Joshua Yao-Yu Lin
2021	J	`jnl`	The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. CoRR 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
2020	J	`jnl`	Anomaly Detection for Multivariate Time Series of Exotic Supernovae. CoRR V. Ashley Villar, Miles D. Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin
2020	J	`jnl`	Dalek - a deep-learning emulator for TARDIS. CoRR Wolfgang E. Kerzendorf, Christian Vogl, Johannes Buchner, Gabriella Contardo, Marc Williamson, Patrick van der Smagt
2020	J	`jnl`	Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way. CoRR Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles D. Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo
2019	J	`jnl`	From Dark Matter to Galaxies with Convolutional Networks. CoRR Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Siyu He, Gabriella Contardo, Francisco Villaescusa-Navarro, Shirley Ho
2019	J	`jnl`	From Dark Matter to Galaxies with Convolutional Neural Networks. CoRR Jacky H. T. Yip, Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Gabriella Contardo, Francisco Villaescusa-Navarro, Siyu He, Shy Genel, Shirley Ho
2017	J	`jnl`	A Meta-Learning Approach to One-Step Active Learning. CoRR Gabriella Contardo, Ludovic Denoyer, Thierry Artières
2017	—	`conf`	A Meta-Learning Approach to One-Step Active-Learning. AutoML@PKDD/ECML Gabriella Contardo, Ludovic Denoyer, Thierry Artières
2017	—	`—`	Machine learning under budget constraints. (Apprentissage statistique sous contraintes de budget). Gabriella Contardo
2016	B	`conf`	Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. ESANN Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer
2016	—	`conf`	Recurrent Neural Networks for Adaptive Feature Acquisition. ICONIP (3) Gabriella Contardo, Ludovic Denoyer, Thierry Artières
2016	B	`conf`	Sequential Cost-Sensitive Feature Acquisition. IDA Gabriella Contardo, Ludovic Denoyer, Thierry Artières
2016	J	`jnl`	Sequential Cost-Sensitive Feature Acquisition. CoRR Gabriella Contardo, Ludovic Denoyer, Thierry Artières
2015	—	`conf`	Car-Traffic Forecasting: A Representation Learning Approach. MUD@ICML Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer
2015	—	`conf`	Representation Learning for cold-start recommendation. ICLR (Workshop) Gabriella Contardo, Ludovic Denoyer, Thierry Artières
2014	—	`conf`	Learning States Representations in POMDP. ICLR (Workshop Poster) Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari