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Anirban Chaudhuri
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Journal Articles
- 2023
- [j3]Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox:
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Frontiers Artif. Intell. 6 (2023) - 2020
- [j2]Anirban Chaudhuri, Boris Kramer, Karen E. Willcox:
Information Reuse for Importance Sampling in Reliability-Based Design Optimization. Reliab. Eng. Syst. Saf. 201: 106853 (2020) - 2015
- [j1]Anirban Chaudhuri, Garrett Waycaster, Nathaniel Price, Taiki Matsumura, Raphael T. Haftka:
NASA Uncertainty Quantification Challenge: An Optimization-Based Methodology and Validation. J. Aerosp. Inf. Syst. 12(1): 10-34 (2015)
Conference and Workshop Papers
- 2022
- [c3]Anirban Chaudhuri, Karen Willcox:
Generalized Multifidelity Active Learning for Gaussian-process-based Reliability Analysis. DDDAS 2022: 17-26 - [c2]Anirban Chaudhuri, Parama Pal, Beena Rai:
Dual-Band Metasurface Cross-Polarization Converter For Cancer Detection In Terahertz Band. IEEE SENSORS 2022: 1-4 - 2019
- [c1]Debanjana Datta, Mousumi Bhanja, Anirban Chaudhuri, Baidyanath Ray, Ayan Banerjee:
Cell-based Coherent Design Methodology for Linear and Non-linear Analog Circuits. SoCC 2019: 455-460
Informal and Other Publications
- 2024
- [i6]Elizabeth Qian, Anirban Chaudhuri, Dayoung Kang, Vignesh Sella:
Multifidelity linear regression for scientific machine learning from scarce data. CoRR abs/2403.08627 (2024) - [i5]Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo:
Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems. CoRR abs/2408.03455 (2024) - 2023
- [i4]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:
Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas. CoRR abs/2308.12429 (2023) - 2021
- [i3]Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox:
Certifiable Risk-Based Engineering Design Optimization. CoRR abs/2101.05129 (2021) - [i2]Thomas O'Leary-Roseberry, Xiaosong Du, Anirban Chaudhuri, Joaquim R. R. A. Martins, Karen Willcox, Omar Ghattas:
Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data. CoRR abs/2112.07096 (2021) - 2019
- [i1]Anirban Chaudhuri, Alexandre Noll Marques, Karen E. Willcox:
mfEGRA: Multifidelity Efficient Global Reliability Analysis. CoRR abs/1910.02497 (2019)
Coauthor Index
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