Probabilistic AI School Courses

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
• Self-Paced
• 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
• Self-Paced
• Free Video

Diffusion Models

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

• YouTube
• 1 hour 9 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Bayesian Workflow

Learn Bayesian workflow techniques for probabilistic modeling, from problem formulation to model evaluation and iteration, enhancing your data analysis skills.

• YouTube
• 2 hours 4 minutes
• Self-Paced
• Free Video

Variational Inference and Optimization - Lecture 3

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

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

Introduction to Probabilistic Models - Probabilistic AI School

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

• YouTube
• 2 hours 10 minutes
• Self-Paced
• Free Video

Variational Inference and Optimization - Lecture 3

Explore advanced concepts in variational inference and optimization with expert insights from Langseth, Masegosa, and Nielsen at the Nordic Probabilistic AI School.

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

Probabilistic Modeling and Programming Tutorial - Lecture 1

Explore probabilistic modeling and programming techniques with expert guidance, enhancing your AI and machine learning skills through hands-on tutorials and practical examples.

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