Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis. - Sayar Karmakar; Sanchari Das (EICC, 2020)

Change-Point Analysis of Cyberbullying-Related Twitter Discussions During COVID-19. - Sanchari Das; Andrew Kim; Sayar Karmakar (CoRR, 2020)

Understanding the Rise of Twitter-based cyberbullying due to COVID-19 through comprehensive statistical evaluation. - Sayar Karmakar; Sanchari Das (HICSS, 2021)

Time Series-Based Malware Detection Using Hardware Performance Counters. - Abraham Peedikayil Kuruvila; Sayar Karmakar; Kanad Basu (HOST, 2021)

Shrinkage estimation with singular priors and an application to small area estimation. - Ryumei Nakada; Tatsuya Kubokawa; Malay Ghosh; Sayar Karmakar (J. Multivar. Anal., 2021)

An Empirical Study of the Occurrence of Heavy-Tails in Training a ReLU Gate. - Sayar Karmakar; Anirbit Mukherjee (CoRR, 2022)

Capacity Bounds for the DeepONet Method of Solving Differential Equations. - Pulkit Gopalani; Sayar Karmakar; Anirbit Mukherjee (CoRR, 2022)

Provable training of a ReLU gate with an iterative non-gradient algorithm. - Sayar Karmakar; Anirbit Mukherjee (Neural Networks, 2022)

Depth-2 neural networks under a data-poisoning attack. - Sayar Karmakar; Anirbit Mukherjee; Theodore Papamarkou (Neurocomputing, 2023)

A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States. - Soudeep Deb; Sayar Karmakar (Comput. Stat. Data Anal., 2023)

An NLP-assisted Bayesian time-series analysis for prevalence of Twitter cyberbullying during the COVID-19 pandemic. - Christopher Perez; Sayar Karmakar (Soc. Netw. Anal. Min., 2023)

Towards Size-Independent Generalization Bounds for Deep Operator Nets. - Pulkit Gopalani; Sayar Karmakar; Dibyakanti Kumar; Anirbit Mukherjee (Trans. Mach. Learn. Res., 2024)

Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping. - Shamik Kundu; Sanjay Das; Sayar Karmakar; Arnab Raha; Souvik Kundu 009; Yiorgos Makris; Kanad Basu (Trans. Mach. Learn. Res., 2024)

Sharp Gaussian approximations for Decentralized Federated Learning. - Soham Bonnerjee; Sayar Karmakar; Wei Biao Wu (CoRR, 2025)

WISER: Segmenting watermarked region - an epidemic change-point perspective. - Soham Bonnerjee; Sayar Karmakar; Subhrajyoty Roy (CoRR, 2025)