A course on Singular Learning Theory, exploring its applications in machine learning and mathematical AI alignment.
The course covers the mathematical foundations of SLT and touches on recent developments in how its tools are used in alignment research. The core focus is the role of degeneracies and singularities in governing the behaviour and training dynamics of neural networks. By the end of the course you will be familiar with:
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We are looking for a student volunteer to join the OMMS Supervisory Committee.
The OMMS Supervisory Committee is responsible for overseeing the course and meets termly at 11am on Tuesdays of week 4. In addition to the Course Director and members of faculty in Mathematics and Statistics, the committee consists of two student representatives: one OMMS student and one fourth-year MURC representative.
Check out the candidates and vote for your Rep via the link below!
