Paper Stories
Discover the stories behind our research papers - in-depth explorations of our work, methodologies, and findings
A Comprehensive Survey on Bio-Inspired Algorithms: Taxonomy, Applications, and Future Directions
Shriyank Somvanshi, Md Monzurul Islam, Syed Aaqib Javed, Gaurab Chhetri, Kazi Sifatul Islam, Tausif Islam Chowdhury, Sazzad Bin Bashar Polock, Anandi Dutta, Ph.D., Subasish Das, Ph.D.
Comprehensive survey of bio-inspired algorithms exploring their theoretical foundations, applications, and future potential in optimization and machine learning.
A Survey on Kolmogorov-Arnold Networks
Shriyank Somvanshi, Syed Aaqib Javed, Md Monzurul Islam, Diwas Pandit, Subasish Das, Ph.D.
Comprehensive survey of Kolmogorov-Arnold Networks (KAN) exploring theoretical foundations, evolution, applications, and future potential in neural network architectures.
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models
Shriyank Somvanshi, Md Monzurul Islam, Mahmuda Sultana Mimi, Sazzad Bin Bashar Polock, Gaurab Chhetri, Subasish Das, Ph.D.
Comprehensive survey of Structured State Space Models (SSMs) exploring their theoretical foundations, evolution, applications, and future potential in sequence modeling.
From Tiny Machine Learning to Tiny Deep Learning: A Survey
Shriyank Somvanshi, Md Monzurul Islam, Gaurab Chhetri, Rohit Chakraborty, Mahmuda Sultana Mimi, Sawgat Ahmed Shuvo, Kazi Sifatul Islam, Syed Aaqib Javed, Sharif Ahmed Rafat, Anandi Dutta, Ph.D., Subasish Das, Ph.D.
Comprehensive survey of Tiny Machine Learning to Tiny Deep Learning exploring their evolution, optimization techniques, hardware platforms, and applications in edge AI.
A Survey on Deep Tabular Learning
Shriyank Somvanshi, Subasish Das, Ph.D., Syed Aaqib Javed, Gian Antariksa, Ahmed Hossain
Comprehensive survey of deep learning models for tabular data exploring their evolution, architectures, and applications across various domains.