anime enjoyer • builder • learner • system tinkerer • AI + math explorer • code writer • midnight debugger • bug fixer • problem breaker • low-level curious • pattern spotter • research-minded • quiet observer • open to change • always prototyping • sometimes overthinking • often simplifying • notes collector • visual thinker • likes beautiful ideas • still figuring things out • anime enjoyer • builder • learner • system tinkerer • AI + math explorer • code writer • midnight debugger • bug fixer • problem breaker • low-level curious • pattern spotter • research-minded • quiet observer • open to change • always prototyping • sometimes overthinking • often simplifying • notes collector • visual thinker • likes beautiful ideas • still figuring things out
A fast and robust triple tensor decomposition model for corrupted data, built with ADMM to improve convergence and recovery under noise, missing entries, and outliers.
Accepted paper on a fast and robust triple tensor decomposition model, optimized with ADMM for signal reconstruction and data recovery under corruption.
