Explore advanced machine learning techniques in this lecture on Deepsets, Graph Neural Networks, and Transformers. Delve into the intricacies of these powerful algorithms as Sanmay Ganguly presents the ninth installment of a comprehensive series on statistical methods and machine learning in high energy physics. Gain valuable insights into cutting-edge approaches for analyzing complex data structures and relationships, essential for tackling the challenges in modern high energy physics research. Learn how these advanced neural network architectures can be applied to process and interpret the massive datasets generated by experiments like the Large Hadron Collider. Enhance your understanding of deep learning techniques that are revolutionizing data analysis in particle physics and beyond.
Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 9
International Centre for Theoretical Sciences via YouTube
Overview
Syllabus
Lectures on Deepsets, Graph Neural Network and Transformers.. (Lecture 9) by Sanmay Ganguly
Taught by
International Centre for Theoretical Sciences
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