2 papers
cs.CV2025
Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning
Souvik Maji, Rhythm Baghel, Pratik Mazumder
Few-shot learning has been extensively explored to address problems where the amount of labeled samples is very limited for some classes. In the semi-supervised few-shot learning s…
cond-mat.mes-hall2025
Signatures of Majorana bound states in scanning gate microscopy of hybrid nanowires
S. Maji, M. P. Nowak
We theoretically study scanning gate microscopy of a superconductor-proximitized semiconducting wire focusing on the potential for detection of Majorana bound states. We exploit th…