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Maroñas Molano, Juan
Quantitative Methods
PhD: Universidad Politécnica de Valencia
Biography
PhD from Polytechnic University of Valencia in computer science. He has directed and codirected several final degree and master’s degree thesis, in addition to being a member of the research team in several research projects. He has also published in top tier conferences and journals such as ICML, AISTATS or ICASSP.
Education
PhD in Computer Science, Universidad Politécnica de Valencia (2021)
MsC in Computer Science, Universidad Politécnica de Valencia (2016)
BsC in Electrical Engineer, AUniversidad Autónoma de Madrid (2015)
Research Interests
Bayesian Inference
Professional Career
Senior Machine Learning Scientist, Cognizant, March 2023 -present
Machine Learning Lecturer, Universidad Pontificia de Comillas, September 2022 - September 2024
Post doctoral Researcher, Universidad Autónoma de Madrid, February 2022 - March 2023
PhD Researcher - September 2017, Universidad Politécnica de Valencia, January 2022
Publications in Scientific Journals
Lin, Zhidi; Maroñas, Juan; Li, Ying; Yin, Feng; Theodoridis, Sergios: "Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models", International Conference on Acoustics, Speech and Signal Processing, 2024.
Maroñas, Juan; Hernández-Lobato, Daniel: "Efficient Transformed Gaussian Process for non stationary dependent multi-class classification", International Conference on Machine Learning, 24045-24081, 2023.
Maroñas, Juan; Hamelijnck, Oliver; Knoblauch, Jeremias; Damoulas, Theodoros: "Transforming Gaussian Processes with Normalizing Flows", International conference on Artificial Intelligence and Statistics, 2021.
Maroñas, Juan; Paredes, Roberto; Ramos, Daniel: "Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks", Neurocomputing, 407, 194-205, 2020.
Otros profesores
