Probability & Statistics Fundamentals: Part I
Notes on Probability & Statistics Fundamentals
I’m a Ph.D. student at CEA-LIST Design of Embedded & Autonomous Systems Lab (LSEA). My research is focused on improving the reliability and safety of autonomous systems that use deep learning techniques by capturing and using deep neural network uncertainty. I was born and grew up in Cochabamba, Bolivia. During my academic and professional career, I’ve been primarily involved in embedded systems, mobile robots, and machine learning / deep learning.
Notes on Probability & Statistics Fundamentals
Notes on Uncertainty Estimation on Bayesian Neural Networks with a simple Approximate Bayesian Inference method, Monte Carlo Dropout.
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