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Felipe Tobar received the B.Sc. and M.Sc. degrees in electrical engineering from Universidad de Chile, 2010 and the Ph.D. degree in signal processing from Imperial College London, 2014. He was with the Machine Learning Group with the University of Cambridge as an Associate Researcher for one year. He is currently with Universidad de Chile, as a Research Fellow with the Center for Mathematical Modeling from 2015 and as an Adjunct Professor with the Department of Mathematical Engineering since 2018. Felipe teaches Machine Learning and Statistics both at graduate and undergraduate levels, and his research interest include the interface between machine learning and statistical signal processing, including approximate inference, Bayesian nonparametrics, spectral estimation, natural language processing and philosophy of the artificial intelligence. Felipe is also an Associate Researcher of the Advanced Centre for Electrical and Electronic Engineering (Universidad Santa Maria) and the coordinator of Universidad de Chile upcoming Master of Data Science programme.
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论文共 56 篇作者统计合作学者相似作者
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CoRRno. 2275 (2023)
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Tamara Pérez-Jeldres, Benjamín Pizarro,Gabriel Ascui,Matías Orellana,Mauricio Cerda-Villablanca,Danilo Alvares,Andrés de la Vega, Macarena Cannistra,Bárbara Cornejo,Pablo Baéz,Verónica Silva,Elizabeth Arriagada,
Medicineno. 36 (2022): e30216-e30216
arXiv (Cornell University) (2022)
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T. Perez, B. Pizarro,G. Ascui,F. Tobar, M. Cerda-Villablanca,D. Alvares,M. Orellana,A. De la Vega, M. Canistra, B. Cornejo, P. Baez,V. Silva,
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