Probabilistic AI School Courses

Bayesian Workflow

Learn Bayesian workflow techniques for probabilistic modeling, including prior specification, model checking, and posterior predictive checks.

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

Introduction to Probabilistic Models - Lecture 1

Explore probabilistic models, their applications, and fundamental concepts in this comprehensive introduction by Silja Renooij at the Nordic Probabilistic AI School.

• YouTube
• 2 hours 11 minutes
• On-Demand
• Free Video

Deep Generative Models - Lectures 2 and 3

Explore advanced deep generative models with expert insights on latest techniques, applications, and theoretical foundations in probabilistic AI.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Causal Machine Learning

Explore causal machine learning concepts and techniques with expert Fredrik D. Johansson in this comprehensive ProbAI lecture.

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

Variational Inference and Optimization - Lecture 1

Explore variational inference and optimization techniques in probabilistic AI, covering key concepts and applications in machine learning and data analysis.

• YouTube
• 1 hour 44 minutes
• On-Demand
• Free Video

Variational Inference and Optimization - Lecture 2

Explore advanced variational inference and optimization techniques for probabilistic AI, focusing on practical applications and cutting-edge methodologies.

• YouTube
• 1 hour 49 minutes
• On-Demand
• Free Video

Monte Carlo Methods

Explore Monte Carlo methods for probabilistic AI, covering key concepts and applications in this comprehensive tutorial from ProbAI 2024.

• YouTube
• 2 hours 26 minutes
• On-Demand
• Free Video

Diffusion Models

Explore advanced concepts in diffusion models, including theory, applications, and recent developments in probabilistic AI.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Probabilistic Machine Learning in Bioinformatics

Explore probabilistic machine learning applications in bioinformatics, focusing on cutting-edge techniques and their impact on biological data analysis.

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

SDEs Are All You Need for Latent Variable Models

Explore stochastic differential equations for latent variable models, focusing on applications in probabilistic AI and machine learning.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Introduction to Deep Generative Models

Explore deep generative models, their applications, and underlying principles in this comprehensive introduction by Jes Frellen at the Nordic Probabilistic AI School.

• YouTube
• 2 hours
• On-Demand
• Free Video

Variational Inference and Optimization - Lecture 1

Explore variational inference and optimization techniques in probabilistic AI, covering key concepts and applications for advanced machine learning.

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

Causal Inference - Lecture from Nordic Probabilistic AI School 2024

Explore causal inference principles, techniques, and applications in AI with expert Adele Ribeiro. Gain insights into probabilistic modeling and decision-making.

• YouTube
• 2 hours 36 minutes
• On-Demand
• Free Video

Gaussian Processes

Explore Gaussian Processes with Daniel Hernández-Lobato, covering key concepts, applications, and advanced techniques in probabilistic machine learning.

• YouTube
• 2 hours 22 minutes
• On-Demand
• Free Video

Probabilistic Circuits

Explore probabilistic circuits with Antonio Vergari, covering foundational concepts and advanced applications in AI and machine learning.

• YouTube
• 2 hours 36 minutes
• On-Demand
• Free Video