Ceci n’est pas une bio

I am a Ph.D. student in Bayesian Filtering and Deep Learning Methods with a theoretical statistical perspective at Carlos III University of Madrid. Previously, I was a Software Engineer working at Devo in the loxcope team and I also worked at the European Southern Observatory as a Data engineer and at CERN Openlab Program. My interests verse on Computational Statistics, Deep Learning, Geometric Measure Theory, Dynamical Systems, Scientific Computing and Software Engineering. My experience covers languages such as Julia, Python, Java, SQL, JavaScript ; and technologies such as Docker, ANTLR4, Kubernetes, Apache Spark, GIT or C.I. systems. In this blog you will find posts mainly on software topics, but also on science and personal-organization.

News

New article submitted to Pattern Recognition

New article submitted to Pattern Recognition (November 2024)! Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss. Jose Manuel de Frutos, Pablo M. Olmos, Manuel Alberto Vázquez, Joaquín Míguez

Paper accepted at AISTATS 2024

Paper accepted at AISTATS 2024 (January 2024)! Training Implicit Generative Models via an Invariant Statistical Loss. Jose Manuel de Frutos, Pablo M. Olmos, Manuel Alberto Vázquez, Joaquín Míguez