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Picture for Ricardo Vilalta

Ricardo Vilalta

The LSST Dark Energy Science Collaboration and the COIN collaboration

Learning Abstract Task Representations


Jan 28, 2021
Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta

* AAAI Workshop on Meta-Learning 2021 

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Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients


Oct 26, 2020
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Moller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluis Galbany

* Accepted to the 2020 IEEE Symposium Series on Computational Intelligence 

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Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era


Nov 05, 2019
Brian Nord, Andrew J. Connolly, Jamie Kinney, Jeremy Kubica, Gautaum Narayan, Joshua E. G. Peek, Chad Schafer, Erik J. Tollerud, Camille Avestruz, G. Jogesh Babu, Simon Birrer, Douglas Burke, João Caldeira, Douglas A. Caldwell, Joleen K. Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric D. Feigelson, V. Zach Golkhou, Vinay Kashyap, T. S. Li, Thomas Loredo, Luisa Lucie-Smith, Kaisey S. Mandel, J. R. Martínez-Galarza, Adam A. Miller, Priyamvada Natarajan, Michelle Ntampaka, Andy Ptak, David Rapetti, Lior Shamir, Aneta Siemiginowska, Brigitta M. Sipőcz, Arfon M. Smith, Nhan Tran, Ricardo Vilalta, Lucianne M. Walkowicz, John ZuHone

* arXiv admin note: substantial text overlap with arXiv:1905.05116 

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Transfer Learning in Astronomy: A New Machine-Learning Paradigm


Dec 20, 2018
Ricardo Vilalta


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A General Approach to Domain Adaptation with Applications in Astronomy


Dec 20, 2018
Ricardo Vilalta, Kinjal Dhar Gupta, Dainis Boumber, Mikhail M. Meskhi


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Conceptual Domain Adaptation Using Deep Learning


Aug 16, 2018
Behrang Mehrparvar, Ricardo Vilalta


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