Journal ·
MK-SGC-SC: Multiple Kernel guided Sparse Graph Construction in Spectral Clustering for Unsupervised Speaker Diarization
Nikhil Raghav, Avisek Gupta, Swagatam Das, Md Sahidullah
arXiv
Deep Learning · AI/ML · TCG CREST
Learning the Hidden Complexity of the World
The Representations Learning Lab develops the theoretical foundations and algorithms for artificial intelligence that can grasp why events occur, moving beyond mere pattern recognition. Our core focus spans causality, data representation, and advanced machine learning.
5+
Publications
4
Researchers
2
Research Areas
2024
Founded
Research Areas
View all →Featured Publications
All papers →Lab members in bold.
Conference ·
Exact Rotation Invariant Robust PCA
Tanmoy Jana, Nikhil Raghav, Angshul Majumdar, Md Sahidullah
International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Conference ·
Kernelized Low-rank matrix recovery: Application in collaborative representation based classification
Subhajit Saha, Angshul Majumdar, Swagatam Das, Avisek Gupta
International Joint Conference on Neural Networks (IJCNN)
Paper ↗
DOI:10.1109/IJCNN64981.2025.11227597
low-rank matrix recovery nuclear norm minimization kernel methods Majorisation Minimization Collaborative Representation based Classification face recognition
The Team
Meet everyone →We are a diverse group united by a passion for the mathematical foundations of learning.
Avisek Gupta
Principal Investigator
Subhajit Saha
PhD Scholar
Rupak Chain
PhD Scholar
Tanmoy Jana
PhD Scholar