אפשרויות גישה ושיוך לתפקיד בקורס

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Course Overview:
- Introducing the concept of learning with symmetries
- Providing a solid foundation in the algebraic tools of groups and group representations
- Equipping students with the knowledge to design, analyze, and evaluate current methods for learning with symmetries
- Course Structure:
- Weekly two-hour lectures
- One-hour recitation sessions
- Theoretical exercises and a coding exercise to reinforce understanding
- Course Plan:
- High-level review of the learning setup (Week 1)
- In-depth exploration of group and representation theory (Weeks 2-8)
- Application of mathematical concepts to study cutting-edge deep learning methods (Weeks 9-13)
- Course Expectations:
- Strong emphasis on mathematical foundations
- Solid grasp of mathematical concepts is crucial for understanding and appreciating the AI techniques covered
- Office Hours:
- Snir Hordan at Amado (Mathematics) Room 622 at 14:30 - 15:20 Wednesday or by appointment
- Homework:
- New assignment out once every two weeks - 6 total for semester
- Recommended Books and Resources:
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- "A friendly introduction to group theory" by Jake Wellens (https://www.dropbox.com/scl/fi/bzj6g0imy3e8o4yjggbww/Group-Theory-intro.pdf?rlkey=jg1zaexkfzcgzk6ssoi7m4idf&dl=0)
- "Group representation theory, Lecture Notes" by Travis Schedler (https://www.dropbox.com/scl/fi/e4g6i1ux6ottq8rczzoew/representation-theory.pdf?rlkey=00630hrennsldv9jjh9ux7m97&dl=0)
- "Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges" by Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Veličković
- "An Introduction to the Theory of Groups" by Joseph J. Rotman
- "Representation Theory: A First Course" by William Fulton, Joe Harris
- "CLASSICAL INVARIANT THEORY, A Primer" by Hanspeter Kraft, Claudio Procesi
- course notes [work in progress]
- recomended talks:
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