Welcome to TAKABE group website！
This research group deals with various topics related to large-scale random systems.
For example, the topics include
- trainable algorithms based on deep unfolding/deep learning for signal processing, wireless communication, and optimization
- theoretical analysis of random systems called spinglass, such as combinatorial optimization, random graphs, and inference
- error correcting codes, especially LDPC codes
- efficient sampling methods, such as MCMC and particle-based variational inference
- quantum(-simulated) algorithms for optimization
Introduction to S. Takabe,
PI of the group
To potential PhD applicants: Thank you for your interest in our group. While we welcome offers, please keep in mind that we may decline them if your expertise does not align with ours.