Kristofer G. Reyes

According to our database, Kristofer G. Reyes authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

Pessimistic asynchronous sampling in high-cost Bayesian optimization.

Amanda A. Volk, Kristofer G. Reyes, Jeffrey G. Ethier, Luke A. Baldwin

CoRR, 2024

2023

A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows.

Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, Byung-Jun Yoon

CoRR, 2023

2022

Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels.

Marcus Michael Noack, Harinarayan Krishnan, Mark D. Risser, Kristofer G. Reyes

CoRR, 2022

Autonomous Nanocrystal Doping by Self-Driving Fluidic Micro-Processors.

Fazel Bateni, Robert W. Epps, Kameel Antami, Rokas Dargis, Jeffery A. Bennett, Kristofer G. Reyes, Milad Abolhasani

Adv. Intell. Syst., 2022

Autonomous Nanocrystal Doping by Self-Driving Fluidic Micro-Processors.

Fazel Bateni, Robert Epps, Kameel Abdel-Latif, Rokas Dargis, Jeffery A. Bennett, Kristofer G. Reyes, Milad Abolhasani

Adv. Intell. Syst., 2022

2021

Problem-fluent models for complex decision-making in autonomous materials research.

Soojung Baek, Kristofer G. Reyes

CoRR, 2021

Self-Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow.

Kameel Abdel-Latif, Robert W. Epps, Fazel Bateni, Suyong Han, Kristofer G. Reyes, Milad Abolhasani

Adv. Intell. Syst., 2021

2020

Optimal Learning with Local Nonlinear Parametric Models over Continuous Designs.

Xinyu He, Kristofer G. Reyes, Warren B. Powell

SIAM J. Sci. Comput., 2020

Optimal Learning for Sequential Decisions in Laboratory Experimentation.

Kristofer G. Reyes, Warren B. Powell

CoRR, 2020

2018

A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model.

Yan Li, Kristofer G. Reyes, Jorge Vazquez-Anderson, Yingfei Wang, Lydia M. Contreras, Warren B. Powell

INFORMS J. Comput., 2018

2015

Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science.

Yingfei Wang, Kristofer G. Reyes, Keith A. Brown, Chad A. Mirkin, Warren B. Powell

SIAM J. Sci. Comput., 2015

Optimal Learning in Experimental Design Using the Knowledge Gradient Policy with Application to Characterizing Nanoemulsion Stability.

Si Chen, Kristofer-Roy G. Reyes, Maneesh K. Gupta, Michael C. McAlpine, Warren B. Powell

SIAM/ASA J. Uncertain. Quantification, 2015

2014

Fast Kinetic Monte Carlo Simulations Using Hash Table Based Caching with Applications to Nanowire Growth and Sintering.

Kristofer G. Reyes

Multiscale Model. Simul., 2014