Tapabrata Maiti

41 papers C 1Misc 1Journal 36Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Consistent estimation of low-rank spatial covariance matrix: A penalized random effects approach. J. Multivar. Anal. Siddhartha Nandy, Chae Young Lim, Tapabrata Maiti
2026	J	`jnl`	Variational Inference Aided Variable Selection For Spatially Structured High Dimensional Covariates. J. Comput. Graph. Stat. Siddhartha Nandy, Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti
2025	J	`jnl`	Co-Hub Node Based Multiview Graph Learning with Theoretical Guarantees. CoRR Bisakh Banerjee, Mohammad Alwardat, Tapabrata Maiti, Selin Aviyente
2025	J	`jnl`	Robust Spatiotemporally Contiguous Anomaly Detection Using Tensor Decomposition. CoRR Rachita Mondal, Mert Indibi, Tapabrata Maiti, Selin Aviyente
2025	J	`jnl`	Signed Graph Learning: Algorithms and Theory. CoRR Abdullah Karaaslanli, Bisakh Banerjee, Tapabrata Maiti, Selin Aviyente
2025	J	`jnl`	Spike-and-Slab Shrinkage Priors for Structurally Sparse Bayesian Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
2024	J	`jnl`	A Tensor Based Varying-Coefficient Model for Multi-Modal Neuroimaging Data Analysis. IEEE Trans. Signal Process. Pratim Guha Niyogi, Martin A. Lindquist, Tapabrata Maiti
2024	J	`jnl`	Comprehensive study of variational Bayes classification for dense deep neural networks. Stat. Comput. Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti
2024	J	`jnl`	ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data. J. Mach. Learn. Res. Kaixu Yang, Arkaprabha Ganguli, Tapabrata Maiti
2024	J	`jnl`	Error-controlled feature selection for ultrahigh-dimensional and highly correlated feature space using deep learning. Stat. Anal. Data Min. Arkaprabha Ganguli, Tapabrata Maiti, David Todem
2024	J	`jnl`	Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation. J. Comput. Graph. Stat. Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti
2024	J	`jnl`	Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space. IEEE Trans. Neural Networks Learn. Syst. Zihuan Liu, Shrijita Bhattacharya, Tapabrata Maiti
2023	J	`jnl`	A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks. CoRR Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
2023	J	`jnl`	Kernelized multiview signed graph learning for single-cell RNA sequencing data. BMC Bioinform. Abdullah Karaaslanli, Satabdi Saha, Tapabrata Maiti, Selin Aviyente
2023	J	`jnl`	Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details. Neural Networks Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
2023	Misc	`conf`	Multiple Signed Graph Learning for Gene Regulatory Network Inference. ICASSP Abdullah Karaaslanli, Satabdi Saha, Tapabrata Maiti, Selin Aviyente
2023	J	`jnl`	Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration. Stat. Comput. Vojtech Kejzlar, Tapabrata Maiti
2022	J	`jnl`	Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data. CoRR Peide Li, Seyyid Emre Sofuoglu, Tapabrata Maiti, Selin Aviyente
2022	J	`jnl`	Coupled support tensor machine classification for multimodal neuroimaging data. Stat. Anal. Data Min. Peide Li, Seyyid Emre Sofuoglu, Selin Aviyente, Tapabrata Maiti
2022	J	`jnl`	Feature Selection integrated Deep Learning for Ultrahigh Dimensional and Highly Correlated Feature Space. CoRR Arkaprabha Ganguli, Tapabrata Maiti
2022	J	`jnl`	Sequential Bayesian Neural Subnetwork Ensembles. CoRR Sanket R. Jantre, Sandeep Madireddy, Shrijita Bhattacharya, Tapabrata Maiti, Prasanna Balaprakash
2022	J	`jnl`	scSGL: kernelized signed graph learning for single-cell gene regulatory network inference. Bioinform. Abdullah Karaaslanli, Satabdi Saha, Selin Aviyente, Tapabrata Maiti
2021	J	`jnl`	A fast and calibrated computer model emulator: an empirical Bayes approach. Stat. Comput. Vojtech Kejzlar, Mookyong Son, Shrijita Bhattacharya, Tapabrata Maiti
2021	J	`jnl`	Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details. CoRR Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
2021	J	`jnl`	Statistical foundation of Variational Bayes neural networks. Neural Networks Shrijita Bhattacharya, Tapabrata Maiti
2021	J	`jnl`	TEC: Tensor Ensemble Classifier for Big Data. CoRR Peide Li, Rejaul Karim, Tapabrata Maiti
2020	J	`jnl`	A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease. CoRR Zihuan Liu, Tapabrata Maiti, Andrew R. Bender
2020	J	`jnl`	Statistical Aspects of High-Dimensional Sparse Artificial Neural Network Models. Mach. Learn. Knowl. Extr. Kaixu Yang, Tapabrata Maiti
2020	J	`jnl`	Statistical Foundation of Variational Bayes Neural Networks. CoRR Shrijita Bhattacharya, Tapabrata Maiti
2020	J	`jnl`	Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges. CoRR Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti
2019	J	`jnl`	Bayesian model selection for generalized linear models using non-local priors. Comput. Stat. Data Anal. Guiling Shi, Chae Young Lim, Tapabrata Maiti
2019	J	`jnl`	Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration. IEEE J. Biomed. Health Informatics Liangliang Zhang, Zhenxiang Jiang, Jongeun Choi, Chae Young Lim, Tapabrata Maiti, Seungik Baek
2016	J	`jnl`	Spatial regression and estimation of disease risks: A clustering-based approach. Stat. Anal. Data Min. Wenning Feng, Chae Young Lim, Tapabrata Maiti, Zhen Zhang
2015	—	`conf`	Appearance-based localization using Group LASSO regression with an indoor experiment. AIM Huan N. Do, Jongeun Choi, Chae Young Lim, Tapabrata Maiti
2013	J	`jnl`	Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. Autom. Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
2012	—	`conf`	A unified Bayesian approach for prediction and detection using mobile sensor networks. CDC Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
2012	C	`conf`	Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. ACC Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
2012	J	`jnl`	Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks. IEEE Trans. Autom. Control. Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
2011	—	`ch.`	Horvitz-Thompson Estimator. International Encyclopedia of Statistical Science Tapabrata Maiti
2009	J	`jnl`	An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation). BMC Bioinform. Martin J. Aryee, José A. Gutiérrez-Pabello, Igor Kramnik, Tapabrata Maiti, John Quackenbush
2006	J	`jnl`	Classification of pathological stage of prostate cancer patients using penalized splines. Comput. Stat. Data Anal. Tathagata Banerjee, Tapabrata Maiti, Pushpal Mukhopadhyay