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Akshay Iyer
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Fully Bayesian inference for latent variable Gaussian process models


Nov 04, 2022
Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley

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Learning to estimate a surrogate respiratory signal from cardiac motion by signal-to-signal translation


Jul 20, 2022
Akshay Iyer, Clifford Lindsay, Hendrik Pretorius, Michael King

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* Medical Imaging Meets NeurIPS 
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Learning to identify cracks on wind turbine blade surfaces using drone-based inspection images


Jul 20, 2022
Akshay Iyer, Linh Nguyen, Shweta Khushu

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* NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning 
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Uncertainty-aware Mixed-variable Machine Learning for Materials Design


Jul 11, 2022
Hengrui Zhang, Wei "Wayne" Chen, Akshay Iyer, Daniel W. Apley, Wei Chen

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An Automated System for Detecting Visual Damages of Wind Turbine Blades


May 22, 2022
Linh Nguyen, Akshay Iyer, Shweta Khushu

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Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors


Jun 30, 2021
Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, Wei Chen

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* Preprint submitted to Journal of Mechanical Design 
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A Conditional Generative Model for Predicting Material Microstructures from Processing Methods


Oct 04, 2019
Akshay Iyer, Biswadip Dey, Arindam Dasgupta, Wei Chen, Amit Chakraborty

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Data-Centric Mixed-Variable Bayesian Optimization For Materials Design


Jul 04, 2019
Akshay Iyer, Yichi Zhang, Aditya Prasad, Siyu Tao, Yixing Wang, Linda Schadler, L Catherine Brinson, Wei Chen

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