Miquel Florensa Montilla's Research Page

Miquel Florensa Montilla's Research Page
/main page/research axes/Miquel Florensa Montilla
Position	PhD. Student \| 2025 -
Contact	miquel.florensa-montilla@polymtl.ca B-431.1 Main Building Ecole Polytechnique Montreal, CANADA
Education	M.Sc.A. \| 2024-2025 Polytechnique Montréal, CANADA Advisor: James-A. Goulet, Guillaume-Alexandre Bilodeau B.E., Computer Engineering \| 2019-2023 Facultat Infromàtica de Barcelona, Universitat Politècnica de Catalunya, Spain,
Research Project	Title: Scalable Bayesian Deep Learning via Tractable Approximate Gaussian Inference Summary: My research focuses on scaling Bayesian Deep Learning through Tractable Approximate Gaussian Inference. I aim to develop transformer architecture, classification systems, regularization techniques, and initialization strategies within a Bayesian framework. By enabling uncertainty quantification, this work seeks to improve the reliability, interpretability, and overall performance of machine learning models across diverse applications.