Quick Overview: This is my short presentation at the JupyterCon 2020. This was part of the poster sessions (can be accessed here ... Rishabh Singh, a PhD candidate at the Computational NeuroEngineering Lab (University of Florida), gives a talk on his PhD ... In this lecture, we will motivate why the successful application of machine learning models in the real world (in the context of ...
Mojtaba Farmanbar Uncertainty Quantification How - Detailed Overview & Context
This is my short presentation at the JupyterCon 2020. This was part of the poster sessions (can be accessed here ... Rishabh Singh, a PhD candidate at the Computational NeuroEngineering Lab (University of Florida), gives a talk on his PhD ... In this lecture, we will motivate why the successful application of machine learning models in the real world (in the context of ... Predictions from modeling and simulation (M&S) are increasingly relied upon to inform critical decision making in a variety of ... This is my presentation at the KU Leuven Open Science Day, Leuven, Belgium, April 2021. Abstract and presentation file are ... Neural networks are infamous for making wrong predictions with high confidence. Ideally, when a model encounters difficult ...
This paper takes a fully probabilistic approach by modeling the joint distribution over questions and inputs, defining 2025 ML Academy & Artiste Distinguished Lecture. A short video on what the above paper discusses: - A quick 20 min introduction to various UQ methods for Deep Learning:- - Why is UQ required for Deep Learning - Bayesian NN ... Presenter: James Warner (NASA Langley Research Center) Adopting In this SEI Podcast, Dr. Eric Heim, a senior machine learning research scientist at the Software Engineering Institute at Carnegie ...
Recorded at PyCon DE & PyData 2025, April 23, 2025 Conformal Prediction ...
