Surrogate Models Courses and Certifications

Institut Henri Poincaré

Artificial Intelligence, Data Assimilation, and Data-Driven Surrogate Models for Climate Prediction

Explore AI's impact on weather prediction, including deep learning techniques, surrogate models, and data assimilation for improved forecasting and climate modeling.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Coursera

Explain Black-Box Models

Master SHAP values and explainability methods to make black-box models transparent for executives and stakeholders through systematic comparison of XAI techniques.

• Coursera
• 3 hours 44 minutes
• On-Demand
• Paid Course

GERAD Research Center

Bi-Fidelity Expensive Black-Box Problems - An Introduction

Explore bi-fidelity expensive black-box problems, their variations, and techniques for optimizing design outcomes using surrogate models. Learn about reliability conditions and low-fidelity data integration.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Society for Industrial and Applied Mathematics

On the Use of Linear Surrogate Models for Bayesian Inverse Problems

Explore efficient Bayesian inverse problem solutions using linear surrogate models. Learn about model discrepancy, Gaussian priors, and applications in high-dimensional PDE discretization problems.

• YouTube
• 1 hour
• On-Demand
• Conference Talk

Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

121 ratings at LinkedIn Learning

Learn best practices for how to produce explainable AI and interpretable machine learning solutions.

• LinkedIn Learning
• 2 hours 10 minutes
• On-Demand
• Free Trial Available

Prodramp

Apply LIME to Explain, Trust, and Validate Your Predictions for Any ML Model

Learn to implement LIME for explaining ML model predictions, with hands-on exercises using image classification models and custom Python implementations.

• YouTube
• 38 minutes
• On-Demand
• Free Video

The Julia Programming Language

JuliaSim: Machine Learning Accelerated Modeling and Simulation

Explore JuliaSim: Accelerate modeling and simulation with machine learning. Learn about fast differential equation solvers, neural network integration, and surrogate models for enhanced computational efficiency.

• YouTube
• 30 minutes
• On-Demand
• Free Video

USENIX

Hydro - Surrogate-Based Hyperparameter Tuning Service in Datacenters

Innovative hyperparameter tuning service for deep learning models, optimizing efficiency and resource utilization in datacenters through surrogate models and adaptive resource management.

• YouTube
• 16 minutes
• On-Demand
• Conference Talk

Inside Livermore Lab

Multi-fidelity Linear Regression for Scientific Machine Learning from Scarce Data

Explore multi-fidelity linear regression for scientific machine learning, addressing data scarcity challenges in complex engineering systems through innovative training approaches.

• YouTube
• 1 hour
• On-Demand
• Free Video

Inside Livermore Lab

MFEM Workshop 2023 - Student Lightning Talks Part 2

Explore cutting-edge research in high-order mathematical calculations for scientific simulations through student presentations on neural networks, GPU acceleration, and Monte Carlo methods.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Inside Livermore Lab

Leveraging Latent Representations for Predictive Physics-Based Modeling

Explore advanced techniques for leveraging latent representations in predictive physics-based modeling, focusing on surrogate models, inverse problems, and transfer learning for complex PDEs.

• YouTube
• 56 minutes
• On-Demand
• Free Video

ACM SIGPLAN

Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs

Explore a novel methodology for sampling datasets to train neural network-based program surrogates, focusing on complexity-guided sampling for improved accuracy in real-world applications.

• YouTube
• 19 minutes
• On-Demand
• Free Video

The Julia Programming Language

Interpretable Hierarchical Calibration of Agent-Based Models

Explore scientific machine learning's fusion of traditional modeling and ML, focusing on neural network surrogates for agent-based models in epidemiology and automated hierarchical calibration.

• YouTube
• 27 minutes
• On-Demand
• Free Video

INI Seminar Room 2

Scalable Bayesian Inference using Hierarchical Approaches and Surrogates

Explore scalable Bayesian inference techniques using hierarchical approaches and surrogate models for complex statistical problems.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

JuliaHub

Ingesting and Deploying Functional Mockup Units in JuliaSim

Discover how to work with Functional Mockup Units (FMUs) in JuliaSim - from simulating and generating models to creating surrogate models using the FMI standard for dynamic simulations.

• YouTube
• 48 minutes
• On-Demand
• Free Video