KDD 2020: Physics Inspired Models in Artificial Intelligence
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Syllabus
Intro
Terminology
Motivation: Why Physics & AI?
Why this Tutorial?
Tutorial Goals
Interplay of Physics and Al
The Four Paradigms
Theory vs. Data?
Limitations of the 4th Paradigm
Cautionary Tale: Problems with Big Data
Parameters Galore!
Physics: Tycho Brahe to Kepler to Newton
A Brief History of Physics & Al
Generalization in Physics & Al
Generalization in Neural Nets
Generalization: Observations
Computational Complexity, Al & Physics
Complexity Classes
3-SAT and Phase Transitions
Problems: Complexity
Interpretability & Explainability in Al/ML
Properties of XAI
Physics Informed Neural Nets (PINN)
Physics-guided Neural Network (PGNN)
Physics & Explainable Al: An Illustration
Results Summary
Open Questions in Neural Networks
Statistical physics theory of Deep Learning?
Information Bottleneck & Neural Nets
Information Bottlenecks & Physics
The Committee Machine
Taught by
Association for Computing Machinery (ACM)
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