Anirban Chaudhuri

According to our database, Anirban Chaudhuri authored at least 17 papers between 2015 and 2026.

Collaborative distances:

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

2026

Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference.

Shane A. McQuarrie, Mengwu Guo, Anirban Chaudhuri

CoRR, January, 2026

2025

Block-structured Operator Inference for coupled multiphysics model reduction.

Benjamin G. Zastrow, Anirban Chaudhuri, Karen E. Willcox, Anthony Ashley, Michael Chamberlain Henson

CoRR, November, 2025

Projection-based multifidelity linear regression for data-scarce applications.

Vignesh Sella, Julie Pham, Karen Willcox, Anirban Chaudhuri

CoRR, August, 2025

TumorTwin: A python framework for patient-specific digital twins in oncology.

Michael G. Kapteyn, Anirban Chaudhuri, Ernesto A. B. F. Lima, Graham Pash, Rafael Bravo, Karen Willcox, Thomas E. Yankeelov, David A. Hormuth II

CoRR, May, 2025

Validating the predictions of mathematical models describing tumor growth and treatment response.

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

CoRR, February, 2025

Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine.

Kaan Sel, Andrea Hawkins-Daarud, Anirban Chaudhuri, Deen Osman, Ahmad Bahai, David Paydarfar, Karen Willcox, Caroline Chung, Roozbeh Jafari

npj Digit. Medicine, 2025

2024

Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems.

Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo

CoRR, 2024

Multifidelity linear regression for scientific machine learning from scarce data.

Elizabeth Qian, Anirban Chaudhuri, Dayoung Kang, Vignesh Sella

CoRR, 2024

2023

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas.

Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox

Frontiers Artif. Intell., February, 2023

2022

Dual-Band Metasurface Cross-Polarization Converter For Cancer Detection In Terahertz Band.

Anirban Chaudhuri, Parama Pal, Beena Rai

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Generalized Multifidelity Active Learning for Gaussian-process-based Reliability Analysis.

Anirban Chaudhuri, Karen Willcox

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

2021

Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data.

Thomas O'Leary-Roseberry, Xiaosong Du, Anirban Chaudhuri, Joaquim R. R. A. Martins, Karen Willcox, Omar Ghattas

CoRR, 2021

Certifiable Risk-Based Engineering Design Optimization.

Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox

CoRR, 2021

2020

Information Reuse for Importance Sampling in Reliability-Based Design Optimization.

Anirban Chaudhuri, Boris Kramer, Karen E. Willcox

Reliab. Eng. Syst. Saf., 2020

2019

mfEGRA: Multifidelity Efficient Global Reliability Analysis.

Anirban Chaudhuri, Alexandre Noll Marques, Karen E. Willcox

CoRR, 2019

Cell-based Coherent Design Methodology for Linear and Non-linear Analog Circuits.

Debanjana Datta, Mousumi Bhanja, Anirban Chaudhuri, Baidyanath Ray, Ayan Banerjee

Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019

2015

NASA Uncertainty Quantification Challenge: An Optimization-Based Methodology and Validation.

Anirban Chaudhuri, Garrett Waycaster, Nathaniel Price, Taiki Matsumura, Raphael T. Haftka

J. Aerosp. Inf. Syst., 2015