YoVDO

Geometric Probabilistic Models - Tutorial 4

Offered By: Uncertainty in Artificial Intelligence via YouTube

Tags

Gaussian Processes Courses Drug Design Courses Bayesian Optimization Courses Uncertainty Quantification Courses Geometric Deep Learning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore geometric probabilistic models in this comprehensive 2.5-hour tutorial from the Uncertainty in Artificial Intelligence conference. Delve into the intersection of geometric deep learning and data-efficient probabilistic modeling techniques, focusing on Gaussian processes and Bayesian neural networks. Learn how these methods enable uncertainty quantification in geometry-compatible ways, crucial for applications in drug design, robotics, and molecular optimization. Discover the theory and practical implementation of these techniques through software demonstrations, and examine emerging applications where data efficiency and geometric properties are paramount. Access accompanying slides to enhance your understanding of this rapidly developing field at the forefront of AI research.

Syllabus

UAI 2024 Tutorial 4: Geometric Probabilistic Models


Taught by

Uncertainty in Artificial Intelligence

Related Courses

An Exploration of Symmetry (Eligible for NTU Credit)
Nanyang Technological University via Coursera
Organic Chemistry in Biology and Drug Development
Indian Institute of Technology, Kharagpur via Swayam
ARPIT 2020 : Online Refresher Course In Chemistry For Higher Education
Shri Guru Tegh Bahadur Khalsa College via Swayam
Fundamentals of Bioinformatics
Sree Neelakanta Govt. Sanskrit College via Swayam
Artificial Intelligence in Bioinformatics
Taipei Medical University via FutureLearn