Anirban Chaudhuri

18 papers Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference. CoRR Shane A. McQuarrie, Mengwu Guo, Anirban Chaudhuri
2025	J	`jnl`	Block-structured Operator Inference for coupled multiphysics model reduction. CoRR Benjamin G. Zastrow, Anirban Chaudhuri, Karen E. Willcox, Anthony Ashley, Michael Chamberlain Henson
2025	J	`jnl`	Projection-based multifidelity linear regression for data-scarce applications. CoRR Vignesh Sella, Julie Pham, Karen Willcox, Anirban Chaudhuri
2025	J	`jnl`	Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine. npj Digit. Medicine Kaan Sel, Andrea Hawkins-Daarud, Anirban Chaudhuri, Deen Osman, Ahmad Bahai, David Paydarfar, Karen Willcox, Caroline Chung, Roozbeh Jafari
2025	J	`jnl`	TumorTwin: A python framework for patient-specific digital twins in oncology. CoRR Michael G. Kapteyn, Anirban Chaudhuri, Ernesto A. B. F. Lima, Graham Pash, Rafael Bravo, Karen Willcox, Thomas E. Yankeelov, David A. Hormuth II
2025	J	`jnl`	Validating the predictions of mathematical models describing tumor growth and treatment response. CoRR Guillermo Lorenzo, David A. Hormuth II, Chengyue Wu, Graham Pash, Anirban Chaudhuri, Ernesto A. B. F. Lima, Lois C. Okereke, Reshmi Patel, Karen Willcox, Thomas E. Yankeelov
2024	J	`jnl`	Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems. CoRR Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo
2024	J	`jnl`	Multifidelity linear regression for scientific machine learning from scarce data. CoRR Elizabeth Qian, Anirban Chaudhuri, Dayoung Kang, Vignesh Sella
2023	J	`jnl`	Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas. CoRR Anirban Chaudhuri, Graham Pash, David A. Hormuth II, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
2023	J	`jnl`	Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Frontiers Artif. Intell. Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
2022	—	`conf`	Dual-Band Metasurface Cross-Polarization Converter For Cancer Detection In Terahertz Band. IEEE SENSORS Anirban Chaudhuri, Parama Pal, Beena Rai
2022	—	`conf`	Generalized Multifidelity Active Learning for Gaussian-process-based Reliability Analysis. DDDAS Anirban Chaudhuri, Karen Willcox
2021	J	`jnl`	Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data. CoRR Thomas O'Leary-Roseberry, Xiaosong Du, Anirban Chaudhuri, Joaquim R. R. A. Martins, Karen Willcox, Omar Ghattas
2021	J	`jnl`	Certifiable Risk-Based Engineering Design Optimization. CoRR Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox
2020	J	`jnl`	Information Reuse for Importance Sampling in Reliability-Based Design Optimization. Reliab. Eng. Syst. Saf. Anirban Chaudhuri, Boris Kramer, Karen E. Willcox
2019	—	`conf`	Cell-based Coherent Design Methodology for Linear and Non-linear Analog Circuits. SoCC Debanjana Datta, Mousumi Bhanja, Anirban Chaudhuri, Baidyanath Ray, Ayan Banerjee
2019	J	`jnl`	mfEGRA: Multifidelity Efficient Global Reliability Analysis. CoRR Anirban Chaudhuri, Alexandre Noll Marques, Karen E. Willcox
2015	J	`jnl`	NASA Uncertainty Quantification Challenge: An Optimization-Based Methodology and Validation. J. Aerosp. Inf. Syst. Anirban Chaudhuri, Garrett Waycaster, Nathaniel Price, Taiki Matsumura, Raphael T. Haftka