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Most Recent Additions*

Physical Design Automation for Next Generation ICs: Graph and Machine Learning based Approaches
Dr. Kritanta Saha

A Last Progeny Modified Branching Random Walk
Partha Pratim Ghosh

PORTRAIT: Holistic Data Visualization using Neural Networks
Chayan Maitra

Some Contributions to Inference and Model/Variable Selection in High-Dimensional Problems
Sayantan Paul

Bivariate Current Status Data with Competing Risks using Frailty Models
Biswadeep Ghosh

Large-scale Asymptotics in Fixed-sample and Sequential Multiple Testing
Rahul Roy

On Universal C∗ Algebras associated to Operator Spaces and Generalized Crossed Products
Sayan Kansa Banik

Consumer Welfare and Privatization in Mixed Markets: A Developing Country Perspective
Priyanka Dutta

Design of reliability acceptance sampling plans
Rathin Das

Distributed Computation of Graph Structures by Mobile Agents
Prabhat Kumar Chand

An Empirical Study of RLVR Fine-Tuning for Mathematical Problem Solving in LLMs
Rashmi Konnur

Daily Rainfall Forecasting over West Bengal with Spatio-Temporal Graph Networks
Risheek Ghosh

Telluric Correction of M-dwarf Stars using Machine Learning
Sayak Rana

A Regression Tree Framework for Denoising and Monitoring of Image Data
Subhasish Basak

Predictive importance sampling based coverage verification for multi uav trajectory planning
Snehashish Ghosh

Adaptive Spectral Trust Gate for Physics- Constrained Operator Learning
Soham Chakraborty

Deep Reinforcement Learning with Directed Asymmetry and Kolmogorov-Arnold Networks for Dismantling Interdependent Multiplex Networks
Soumyajit Dev

Dynamic Property Ordering for Efficient Multi-Property Bounded Model Checking
Vivek Kumar

Enhanced Embedding for Multimodal Medical Visual Question and Answering
Akash Suna

Kernelizing Protein Interaction Languages: Spectral Approximations and Random Fourier Features
Aishik Ghosh

*Updated as of 10/16/26.