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Neural networks are the backbone of deep learning. In recent years, the Bayesian neural networks are gathering a lot of attention.

My first classes at OIST are coming up! OoO patreon.com/thinkstr.

Zoubin Ghahramani (University of Cambridge) --- Bayesian Deep Learning Workshop NIPS 2016 December 10, 2016 — Centre ...

Authors: Pouria Ramazi This project is made possible with funding by the Government of Ontario and through eCampusOntario's ...

Get a 20% discount to my favorite book summary service at https://shortform.com/artem Socials: X/Twitter: ...

Bayesian logic is already helping to improve Machine Learning results using statistical models. Professor Mike Osborne drew us ...

PyData Warsaw 2018 We will show how to assess the uncertainty of deep neural networks. We will cover Bayesian Deep ...

Radford Neal, University of Toronto May 16, 2022 Machine Learning Advances and Applications Seminar ...

For cool updates on AI research, follow me at https://twitter.com/iamvriad. Lecture from the course Neural Networks for Machine ...

PyData New York City 2017 Slides: https://ericmjl.github.io/bayesian-deep-learning-demystified/ In this talk, I aim to do two things: ...

Dive into Artificial Intelligence (AI) and Machine Learning (ML) with our latest video! Have you ever wondered how AI allows ...

First lecture on Bayesian Deep Learning and Uncertainty Quantification by Eric Nalisnick.

Bayesian Deep Learning and a Probabilistic Perspective of Model Construction ICML 2020 Tutorial Bayesian inference is ...

Link to this course: ...

Nordic Probabilistic AI School (ProbAI) 2022 Materials: https://github.com/probabilisticai/probai-2022/

Perhaps the most important formula in probability. Help fund future projects: https://www.patreon.com/3blue1brown An equally ...

This talk was recorded live on 24 May 2023 as part of the course «Introduction to Bayesian Statistics with R». This 3-day course ...

CS5804 Virginia Tech Introduction to Artificial Intelligence http://berthuang.com http://twitter.com/berty38.

Ensembles of neural networks (NN) have long been used to estimate predictive uncertainty; a small number of NNs are trained ...

JonKrohnLearns talks tabular data with Frank Hutter, Professor of Artificial Intelligence at Universität Freiburg in Germany. Despite ...

This talk is part of MCQMC 2020, the 14th International Conference in Monte Carlo & Quasi-Monte Carlo Methods in Scientific ...

It is often critical to know whether we can trust a prediction made by a learned model, especially for medical applications.