Course Description

Welcome to the fascinating field of geometric machine learning, a discipline at the intersection of intelligence, symbolic, and geometric! Throughout this course, we will explore various advanced machine learning techniques and algorithms through paper reading, presentation, and project discussion. Topics include:

• Agentic Learning
• Neural-Symbolic AI
• Multi-Modal Graph Learning
• Neural-Symbolic Harmonization
• Graph Retrieval-augmented Generation (GraphRAG)
• Applications

Students will complete a team-based (optional) course project and a paper presentation.

Lectures

Friday, 4:00-5:20 pm, 200 Deschutes

Office Hours

Instructor: Zoom Meeting or In Class

• Schedule Upon Request