Uncertainty Quantification and Deep Learning ǀ Elise Jennings, Argonne National Laboratory Published 2019-11-06 Download video MP4 360p Download video MP4 720p Recommendations 24:58 Science Use Case 1 - Deep Learning in Astrophysics ǀ Elise Jennings, Argonne National Laboratory 31:33 Science Use Case 2 -Traffic Forecasting ǀ Mallick and Balaprakash, Argonne National Laboratory 18:38 How to handle Uncertainty in Deep Learning #1.1 36:15 Eric J. Ma - An Attempt At Demystifying Bayesian Deep Learning 56:37 Prof. Claudia Schillings | Kirk Lecture: Uncertainty quantification for Bayesian inverse problems... 48:52 MIT 6.S191: Evidential Deep Learning and Uncertainty 27:47 UAI 2023 Oral Session 2: Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning 35:42 Bayesian Deep learning with 10% of the weights - Rob Romijnders 32:53 Machine Learning for Uncertainty Quantification: Trusting the Black Box 1:05:54 CFD, PDEs, and HPC: A Thirty-Year Perspective | Paul Fischer, UI-UC 1:02:37 PETSc Tutorial | Lois Curfman McInnes, Satish Balay; Argonne National Laboratory 1:09:18 MCMC Training of Bayesian Neural Networks 1:25:31 2.18.2022 - DSC - The Future of Computing 40:25 History of Bayesian Neural Networks (Keynote talk) 1:32:34 Jeremy Oakley: Introduction to Uncertainty Quantification and Gaussian Processes - GPSS 2016 56:36 All About that Bayes: Probability, Statistics, and the Quest to Quantify Uncertainty 10:18 Uncertainty (Aleatoric vs Epistemic) | Machine Learning 2:16:51 CIS 7000: Modern Topics in Uncertainty Quantification Lecture 1 1:57:07 Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial 54:57 Lalitha Venkataramanan: "Uncertainty Quantification in Machine Learning" | IACS Seminar Similar videos 1:30:23 First lecture on Bayesian Deep Learning and Uncertainty Quantification 18:47 DeepHyper Workshop 06 Ensembles & uncertainty quantification 22:51 João Caldeira: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms 1:21:18 Tutorial 9 Uncertainty Quantification 360 A Hands on Tutorial 04:20 653 - Misclassification Risk and Uncertainty Quantification in Deep Classifiers 17:41 Uncertainty quantification in data fitting Neural and Hilbert Networks 00:17 Uncertainty quantification in transient modelling 20:23 Introduction to Uncertainty Quantification for Deep Learning 02:52 Uncertainty Quantification 14:28 An Uncertainty Estimation Framework for Probabilistic Object Detection 50:08 MIT 6.S191: Uncertainty in Deep Learning 35:50 Bayesian Evidential Learning 16:02 Uncertainty in Neural Networks: Approximately Bayesian Ensembling 43:53 Bayesian Evidential Learning a protocol for uncertainty quantification in Earth systems 19:51 Model Analysis and Uncertainty Quantification 1:07:01 Uncertainty Quantification in Deep Learning - Bindya Venkatesh 1:01:43 Bridging Computation and Experimentation with Evidential Deep Learning | Ava Amini More results