Adaptive statistical detection of false data injection attacks in smart grids. - Michael G. Kallitsis; Shrijita Bhattacharya; Stilian Stoev; George Michailidis (GlobalSIP, 2016)

AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis, and Forensics of Multi-Gigabit Streams. - Michael G. Kallitsis; Stilian A. Stoev; Shrijita Bhattacharya; George Michailidis (IEEE J. Sel. Areas Commun., 2016)

Detection of False Data Injection Attacks in Smart Grids Based on Forecasts. - Michael G. Kallitsis; Shrijita Bhattacharya; George Michailidis (SmartGridComm, 2018)

Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges. - Shrijita Bhattacharya; Zihuan Liu; Tapabrata Maiti (CoRR, 2020)

Statistical foundation of Variational Bayes neural networks. - Shrijita Bhattacharya; Tapabrata Maiti (Neural Networks, 2021)

A fast and calibrated computer model emulator: an empirical Bayes approach. - Vojtech Kejzlar; Mookyong Son; Shrijita Bhattacharya; Tapabrata Maiti (Stat. Comput., 2021)

Sequential Bayesian Neural Subnetwork Ensembles. - Sanket R. Jantre; Sandeep Madireddy; Shrijita Bhattacharya; Tapabrata Maiti; Prasanna Balaprakash (CoRR, 2022)

A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks. - Sanket R. Jantre; Shrijita Bhattacharya; Tapabrata Maiti (CoRR, 2023)

Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details. - Sanket R. Jantre; Shrijita Bhattacharya; Tapabrata Maiti (Neural Networks, 2023)

Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation. - Minwoo Kim; Shrijita Bhattacharya; Tapabrata Maiti (J. Comput. Graph. Stat., 2024)

Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space. - Zihuan Liu; Shrijita Bhattacharya; Tapabrata Maiti (IEEE Trans. Neural Networks Learn. Syst., 2024)

Comprehensive study of variational Bayes classification for dense deep neural networks. - Shrijita Bhattacharya; Zihuan Liu; Tapabrata Maiti (Stat. Comput., 2024)

Spike-and-Slab Shrinkage Priors for Structurally Sparse Bayesian Neural Networks. - Sanket R. Jantre; Shrijita Bhattacharya; Tapabrata Maiti (IEEE Trans. Neural Networks Learn. Syst., 2025)