Search Results for author: Akshay Iyer

Found 9 papers, 2 papers with code

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing

1 code implementation27 Jan 2024 Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi

The main challenge in this estimation task is the potential confounding of treatment assignment with an individual's covariates in the training data, whereas during inference ICTE requires prediction on independently sampled treatments.


Fully Bayesian inference for latent variable Gaussian process models

1 code implementation4 Nov 2022 Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley

However, this plug-in approach will not account for uncertainty in estimation of the LVs, which can be significant especially with limited training data.

Bayesian Inference Gaussian Processes +1

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

no code implementations20 Jul 2022 Akshay Iyer, Clifford Lindsay, Hendrik Pretorius, Michael King

Our goal is to lay a foundation to guide the optimization of neural networks for respiratory motion correction from SPECT without the need for an EMT.

Learning to identify cracks on wind turbine blade surfaces using drone-based inspection images

no code implementations20 Jul 2022 Akshay Iyer, Linh Nguyen, Shweta Khushu

Hence in this work, we bring more objectivity, scalability, and repeatability in our damage inspection process, using deep learning, to miss fewer cracks.


Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design

no code implementations11 Jul 2022 Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen

Data-driven design shows the promise of accelerating materials discovery but is challenging due to the prohibitive cost of searching the vast design space of chemistry, structure, and synthesis methods.

Bayesian Optimization BIG-bench Machine Learning +1

An Automated System for Detecting Visual Damages of Wind Turbine Blades

no code implementations22 May 2022 Linh Nguyen, Akshay Iyer, Shweta Khushu

We discuss the performance of our damage's suggestion model in production and how this system works in coordination with humans as part of a commercialized product and how it can contribute towards lowering wind energy's operational costs.

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

no code implementations26 Jun 2021 LiWei Wang, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, Wei Chen

In addition, an interpretable latent space is obtained to draw insights into the effect of categorical factors, such as those associated with building blocks of architectures and element choices in metamaterial and materials design.

Gaussian Processes Variational Inference

A Conditional Generative Model for Predicting Material Microstructures from Processing Methods

no code implementations4 Oct 2019 Akshay Iyer, Biswadip Dey, Arindam Dasgupta, Wei Chen, Amit Chakraborty

Microstructures of a material form the bridge linking processing conditions - which can be controlled, to the material property - which is the primary interest in engineering applications.

Feature Engineering Image Generation

Data-Centric Mixed-Variable Bayesian Optimization For Materials Design

no code implementations4 Jul 2019 Akshay Iyer, Yichi Zhang, Aditya Prasad, Siyu Tao, Yixing Wang, Linda Schadler, L Catherine Brinson, Wei Chen

To this end, we present a data-centric, mixed-variable Bayesian Optimization framework that integrates data from literature, experiments, and simulations for knowledge discovery and computational materials design.

Bayesian Optimization Navigate

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