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... years been working at the company's second line which is doing a lot of Vaibhav Srivastava Associate Professor of Electrical and Computer Engineering Michigan State University Abstract: In this talk, we ... Good afternoon so um today we're going to talk about um Talk Data labeling is a tedious yet necessary task to train Machine Recorded 04 May 2023. Juliane Mueller of the National Renewable Energy Laboratory presents "Adaptive Computing and ... DDPS Talk date: August 2nd, 2024 Speaker: Elizabeth Qian (Georgia Tech, Description: Machine ...
Recorded 26 March 2026. Anirban Chaudhuri of the UT Austin Oden Institute presents "
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ML & Physical World 2022 Lecture 10: Multi-fidelity Learning
Alexandre Abraham - Cardinal: A metrics based Active Learning framework | PyData Global 2020
Anh Tran and Julien Tranchida - Multi-fidelity and parallel machine-learning approaches
Scientific Machine Learning for Multi-Fidelity Combustion Modeling
Juliane Mueller - Adaptive Computing and multi-fidelity learning - IPAM at UCLA
DDPS | “Multi-fidelity linear regression for scientific machine learning from scarce data”
Anirban Chaudhuri - Multifidelity surrogates and decision-making for digital twins - IPAM at UCLA
ML & the Physical World 2024: Lecture 12 Multifidelity Models
[TMLR; J2C Certification] A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
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Last Updated: June 14, 2026
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