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

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

26 June 2021

Suraj Yerramilli

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

11 / 11 papers shown

Title
Improving Hyperparameter Optimization with Checkpointed Model Weights Nikhil Mehta Jonathan Lorraine Steve Masson Ramanathan Arunachalam Zaid Pervaiz Bhat James Lucas Arun George Zachariah 33 4 0 26 Jun 2024
Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process S. Ravi Yigitcan Comlek Wei-Neng Chen Arjun Pathak Vipul Gupta ... Ghanshyam Pilania Piyush Pandita Sayan Ghosh Nathaniel Mckeever Liping Wang 8 1 0 06 Feb 2024
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling Yi-Ping Chen Liwei Wang Yigitcan Comlek Wei-Neng Chen 14 10 0 05 Oct 2023
Data-Driven Design for Metamaterials and Multiscale Systems: A Review Doksoo Lee Wei-Neng Chen Liwei Wang Yu-Chin Chan Wei Chen AI4CE 11 78 0 01 Jul 2023
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process Hao Zhou Nan Li AI4CE 21 1 0 01 Dec 2022
Multi-Fidelity Cost-Aware Bayesian Optimization Zahra Zanjani Foumani Mehdi Shishehbor Amin Yousefpour Ramin Bostanabad 16 48 0 04 Nov 2022
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design Hengrui Zhang WeiWayneChen Akshay Iyer D. Apley Wei-Neng Chen AI4CE 31 11 0 11 Jul 2022
Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes Kyle Hayes Michael W. Fouts Ali Baheri D. Mebane 17 0 0 26 May 2022
A Framework for Interdomain and Multioutput Gaussian Processes Mark van der Wilk Vincent Dutordoir S. T. John A. Artemev Vincent Adam J. Hensman 35 94 0 02 Mar 2020
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 98 391 0 02 Mar 2013
A Framework for Evaluating Approximation Methods for Gaussian Process Regression Krzysztof Chalupka Christopher K. I. Williams Iain Murray GP 59 168 0 29 May 2012