Speaker
Prof.
Ivan Oseledets
(AIRI)
Description
In this talk, I will describe several recent results that use low-rank approximation and machine learning together. There are two stories that I will discuss:
- Using low-rank approximation to speedup machine learning applications (hybrid models)
- Using machine learning algorithms to compute certain classes of low-rank decomposition algorithms (including a AlphaEvolve and AlphaTensor papers that use different variants of RL and ML for compute tensor decompositions for difficult tensors).
Primary author
Prof.
Ivan Oseledets
(AIRI)