Akshay Iyer

According to our database, Akshay Iyer authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing.

Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fully Bayesian Inference for Latent Variable Gaussian Process Models.

Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley

SIAM/ASA J. Uncertain. Quantification, December, 2023

2022

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

Akshay Iyer, Clifford Lindsay, P. Hendrik Pretorius, Michael A. King

CoRR, 2022

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

Akshay Iyer, Linh Nguyen, Shweta Khushu

CoRR, 2022

Uncertainty-aware Mixed-variable Machine Learning for Materials Design.

Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen

CoRR, 2022

An Automated System for Detecting Visual Damages of Wind Turbine Blades.

Linh Nguyen, Akshay Iyer, Shweta Khushu

CoRR, 2022

2021

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

Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel W. Apley, Ping Zhu, Wei Chen

CoRR, 2021

2019

A Conditional Generative Model for Predicting Material Microstructures from Processing Methods.

Akshay Iyer, Biswadip Dey, Arindam Dasgupta, Wei Chen, Amit Chakraborty

CoRR, 2019

Data-Centric Mixed-Variable Bayesian Optimization For Materials Design.

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

CoRR, 2019