Shrijita Bhattacharya

According to our database, Shrijita Bhattacharya authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Comprehensive study of variational Bayes classification for dense deep neural networks.

Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti

Stat. Comput., February, 2024

Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space.

Zihuan Liu, Shrijita Bhattacharya, Tapabrata Maiti

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation.

Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti

J. Comput. Graph. Stat., 2024

2023

Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details.

Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti

Neural Networks, October, 2023

A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks.

Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti

CoRR, 2023

2022

Sequential Bayesian Neural Subnetwork Ensembles.

Sanket R. Jantre, Sandeep Madireddy, Shrijita Bhattacharya, Tapabrata Maiti, Prasanna Balaprakash

CoRR, 2022

2021

A fast and calibrated computer model emulator: an empirical Bayes approach.

Vojtech Kejzlar, Mookyong Son, Shrijita Bhattacharya, Tapabrata Maiti

Stat. Comput., 2021

Statistical foundation of Variational Bayes neural networks.

Shrijita Bhattacharya, Tapabrata Maiti

Neural Networks, 2021

2020

Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges.

Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti

CoRR, 2020

2018

Detection of False Data Injection Attacks in Smart Grids Based on Forecasts.

Michael G. Kallitsis, Shrijita Bhattacharya, George Michailidis

Proceedings of the 2018 IEEE International Conference on Communications, 2018

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

Adaptive statistical detection of false data injection attacks in smart grids.

Michael G. Kallitsis, Shrijita Bhattacharya, Stilian Stoev, George Michailidis

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016