Uncertainty Quantification Courses and Certifications

Handling Uncertainties and Calibrating System Models with Wolfram Language

Explore calibration, validation, and uncertainty visualization in system models using Wolfram System Modeler. Learn to match simulations with real-world data and analyze key output uncertainties.

• Wolfram U
• 1 hour
• Self-Paced
• Free Online Course

Introduction to Reliable Deep Learning

Explore reliable deep learning techniques to create trustworthy AI systems that understand and communicate uncertainty, enhancing robustness in high-stakes scenarios.

• Google Skills
• 2 hours
• Self-Paced
• Free Online Course

Engineering Design Optimization - Linear Constrained Optimization

Explore mathematical and algorithmic fundamentals of optimization for engineering systems design, covering linear and non-linear problems with emphasis on multidisciplinary applications.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Fast Uncertainty Estimation and Diffusion Models in PET

Explore fast uncertainty estimation techniques and diffusion models for PET imaging, enhancing medical diagnostics and research applications.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

The Julia Programming Language

Scientific Machine Learning: Opportunities and Challenges - Keynote

Explore Scientific Machine Learning: combining physics-based models with ML for complex phenomena, addressing challenges in computational science, and revolutionizing fields like rocket engine combustion analysis.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Alexander Amini;  MIT

Evidential Deep Learning and Uncertainty

Explore evidential deep learning and uncertainty estimation in neural networks, covering probabilistic learning, types of uncertainty, Bayesian methods, and practical applications.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Simons Foundation

Statistical Physics of Machine Learning

Explore the intersection of statistical physics and machine learning, examining generative models, attention mechanisms, and uncertainty estimation in neural networks through theoretical physics perspectives.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Understanding Infectious Disease Transmission - Insights and Uncertainty

Explore mathematical frameworks and statistical methods for analyzing disease transmission dynamics across human, livestock, and wildlife populations to inform evidence-based health policies.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Deep Learning and Computations of PDEs by Siddhartha Mishra

Explore deep learning applications in PDEs, uncertainty quantification, and optimization. Learn about operator learning, DeepOnet decomposition, and high-dimensional PDEs in this advanced lecture.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Simons Institute

Practical Model-Based Algorithms for Reinforcement Learning and Imitation Learning

Explore efficient model-based algorithms for reinforcement and imitation learning, addressing challenges in learning dynamics and uncertainty, with practical examples and evaluations.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Australian Water School

Maximising the Accuracy of Hydraulic Models

Explore factors influencing hydraulic model accuracy, from input data to computational solvers. Learn to maximize model reliability and confidence, especially when calibration data is unavailable.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Australian Water School

How Wrong Is Your Flood Model?

Explore uncertainties in flood modeling, calibration importance, and strategies for reducing inaccuracies to ensure reliable and defendable results for informed decision-making.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Society for Industrial and Applied Mathematics

Numerical Simulation of Fractured Reservoirs

Explore advanced techniques for simulating fractured reservoirs, including dual-porosity models, unstructured grids, and probabilistic approaches to enhance flow prediction and reservoir management.

• YouTube
• 48 minutes
• Self-Paced
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

Trying to Make Sense of Control from Pixels

Explores challenges in merging machine learning with control systems, focusing on autonomous vehicles using vision. Discusses uncertainty quantification, robust controller design, and performance guarantees.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Simons Institute

Generalization and Robustness in Offline Reinforcement Learning

Explore offline reinforcement learning for safety-critical applications, covering generalization, robustness, and imitation learning in large-scale settings with rich function approximation.

• YouTube
• 54 minutes
• Self-Paced
• Free Video