Shrijita Bhattacharya

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 14

Top Topics

Variational Bayes

Top Venues

Neural Networks

IEEE J. Sel. Areas Commun.

Publications

Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation. J. Comput. Graph. Stat. 33 (1) (2024)
Zihuan Liu, Shrijita Bhattacharya, Tapabrata Maiti
Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti
Comprehensive study of variational Bayes classification for dense deep neural networks. Stat. Comput. 34 (1) (2024)
Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details. Neural Networks 167 (2023)
Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks. CoRR (2023)
Sanket Jantre, Sandeep Madireddy, Shrijita Bhattacharya, Tapabrata Maiti, Prasanna Balaprakash
Sequential Bayesian Neural Subnetwork Ensembles. CoRR (2022)
Shrijita Bhattacharya, Tapabrata Maiti
Statistical foundation of Variational Bayes neural networks. Neural Networks 137 (2021)
Vojtech Kejzlar, Mookyong Son, Shrijita Bhattacharya, Tapabrata Maiti
A fast and calibrated computer model emulator: an empirical Bayes approach. Stat. Comput. 31 (4) (2021)
Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details. CoRR (2021)
Shrijita Bhattacharya, Tapabrata Maiti
Statistical Foundation of Variational Bayes Neural Networks. CoRR (2020)
Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges. CoRR (2020)
Michael G. Kallitsis, Shrijita Bhattacharya, George Michailidis
Detection of False Data Injection Attacks in Smart Grids Based on Forecasts. SmartGridComm (2018)
Michael G. Kallitsis, Stilian A. Stoev, Shrijita Bhattacharya, George Michailidis
AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis, and Forensics of Multi-Gigabit Streams. IEEE J. Sel. Areas Commun. 34 (6) (2016)
Michael G. Kallitsis, Shrijita Bhattacharya, Stilian Stoev, George Michailidis
Adaptive statistical detection of false data injection attacks in smart grids. GlobalSIP (2016)
Michael G. Kallitsis, Stilian Stoev, Shrijita Bhattacharya, George Michailidis
AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis and Forensics of Multi-gigabit Streams. CoRR (2015)