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ORCIDSayantan Banerjee
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2020 – today
- 2026
[j8]Sayantan Banerjee
, Agnieszka Wylomanska, S. Sundar:
A self-supervised learning approach for denoising autoregressive models with additive noise: finite and infinite variance cases. Digit. Signal Process. 180: 106200 (2026)- [j7]Sidhant R. Nair, Tanmay Sen, Mrinmay Sen, Sayantan Banerjee:
DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix. Trans. Mach. Learn. Res. 2026 (2026) - [i4]Sultan Amed, Tanmay Sen, Sayantan Banerjee:
FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling. CoRR abs/2601.11134 (2026) - [i3]Soham Sarkar, Tanmay Sen, Sayantan Banerjee:
BayPrAnoMeta: Bayesian Proto-MAML for Few-Shot Industrial Image Anomaly Detection. CoRR abs/2601.19992 (2026) - 2025
- [i2]Sultan Amed, Chan Yu Hang, Sayantan Banerjee:
PDx - Adaptive Credit Risk Forecasting Model in Digital Lending using Machine Learning Operations. CoRR abs/2512.22305 (2025) - 2024
- [j6]Anindya Bhadra, Ksheera Sagar, David Rowe, Sayantan Banerjee, Jyotishka Datta:
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix. J. Mach. Learn. Res. 25: 295:1-295:43 (2024) - 2022
- [j5]Shyamali Mitra, Sayantan Banerjee, Mrinal Kanti Naskar:
Remodelling correlation: A fault resilient technique of correlation sensitive stochastic designs. Array 15: 100219 (2022) - [j4]Sayantan Banerjee:
Horseshoe shrinkage methods for Bayesian fusion estimation. Comput. Stat. Data Anal. 174: 107450 (2022) - 2021
- [i1]Shyamali Mitra, Sayantan Banerjee, Mrinal Kanti Naskar:
ReCo1: A Fault resilient technique of Correlation Sensitive Stochastic Designs. CoRR abs/2107.13827 (2021)
2010 – 2019
- 2019
- [j3]Sayantan Banerjee, Rehan Akbani, Veerabhadran Baladandayuthapani:
Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer. Comput. Stat. Data Anal. 132: 46-69 (2019) - 2015
- [j2]Sayantan Banerjee, Subhashis Ghosal:
Bayesian structure learning in graphical models. J. Multivar. Anal. 136: 147-162 (2015) - 2014
- [j1]S. McKay Curtis, Sayantan Banerjee, Subhashis Ghosal:
Fast Bayesian model assessment for nonparametric additive regression. Comput. Stat. Data Anal. 71: 347-358 (2014)
Coauthor Index
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