Akshay Iyer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Gaussian Process

Displacement Estimation

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. CoRR (2024)
Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. AAAI (2024)
Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley
Fully Bayesian Inference for Latent Variable Gaussian Process Models. SIAM/ASA J. Uncertain. Quantification 11 (4) (2023)
Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen
Uncertainty-aware Mixed-variable Machine Learning for Materials Design. CoRR (2022)
Akshay Iyer, Clifford Lindsay, P. Hendrik Pretorius, Michael A. King
Learning to estimate a surrogate respiratory signal from cardiac motion by signal-to-signal translation. CoRR (2022)
Linh Nguyen, Akshay Iyer, Shweta Khushu
An Automated System for Detecting Visual Damages of Wind Turbine Blades. CoRR (2022)
Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley
Fully Bayesian inference for latent variable Gaussian process models. CoRR (2022)
Akshay Iyer, Linh Nguyen, Shweta Khushu
Learning to identify cracks on wind turbine blade surfaces using drone-based inspection images. CoRR (2022)
Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel W. Apley, Ping Zhu, Wei Chen
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors. CoRR (2021)
Akshay Iyer, Biswadip Dey, Arindam Dasgupta, Wei Chen, Amit Chakraborty
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods. CoRR (2019)
Akshay Iyer, Yichi Zhang, Aditya Prasad, Siyu Tao, Yixing Wang, Linda Schadler, L. Catherine Brinson, Wei Chen
Data-Centric Mixed-Variable Bayesian Optimization For Materials Design. CoRR (2019)