statistical mechanics, information theory, machine learning
broad application of statistical mechanics to information science
Yoshiyuki Kabashima is working in a cross-disciplinary field between statistical physics and information sciences. His research topics include error-correcting codes, cryptography, CDMA multi-user detection, data compression, compressive sensing, random matrix, machine learning, spin glasses.
replica method, cavity method, random matrix, probabilistic inference, machine learning