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Shrijita Bhattacharya
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2020 – today
- 2024
- [j7]Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti:
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation. J. Comput. Graph. Stat. 33(1): 75-84 (2024) - [j6]Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti:
Comprehensive study of variational Bayes classification for dense deep neural networks. Stat. Comput. 34(1): 17 (2024) - [j5]Zihuan Liu, Shrijita Bhattacharya, Tapabrata Maiti:
Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1379-1385 (2024) - 2023
- [j4]Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti:
Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details. Neural Networks 167: 309-330 (2023) - [i6]Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti:
A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks. CoRR abs/2308.09104 (2023) - 2022
- [i5]Sanket R. Jantre, Sandeep Madireddy, Shrijita Bhattacharya, Tapabrata Maiti, Prasanna Balaprakash:
Sequential Bayesian Neural Subnetwork Ensembles. CoRR abs/2206.00794 (2022) - 2021
- [j3]Shrijita Bhattacharya, Tapabrata Maiti:
Statistical foundation of Variational Bayes neural networks. Neural Networks 137: 151-173 (2021) - [j2]Vojtech Kejzlar, Mookyong Son, Shrijita Bhattacharya, Tapabrata Maiti:
A fast and calibrated computer model emulator: an empirical Bayes approach. Stat. Comput. 31(4): 49 (2021) - [i4]Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti:
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details. CoRR abs/2108.11000 (2021) - 2020
- [i3]Shrijita Bhattacharya, Tapabrata Maiti:
Statistical Foundation of Variational Bayes Neural Networks. CoRR abs/2006.15786 (2020) - [i2]Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti:
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges. CoRR abs/2011.09592 (2020)
2010 – 2019
- 2018
- [c2]Michael G. Kallitsis, Shrijita Bhattacharya, George Michailidis:
Detection of False Data Injection Attacks in Smart Grids Based on Forecasts. SmartGridComm 2018: 1-7 - 2016
- [j1]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): 1834-1848 (2016) - [c1]Michael G. Kallitsis, Shrijita Bhattacharya, Stilian Stoev, George Michailidis:
Adaptive statistical detection of false data injection attacks in smart grids. GlobalSIP 2016: 826-830 - 2015
- [i1]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 abs/1509.00268 (2015)
Coauthor Index
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