Kristofer G. Reyes

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2024 J jnl
Pessimistic asynchronous sampling in high-cost Bayesian optimization.
CoRR
Amanda A. Volk, Kristofer G. Reyes, Jeffrey G. Ethier, Luke A. Baldwin
2023 J jnl
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows.
CoRR
Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, Byung-Jun Yoon
2022 J jnl
Autonomous Nanocrystal Doping by Self-Driving Fluidic Micro-Processors.
Adv. Intell. Syst.
Fazel Bateni, Robert Epps, Kameel Abdel-Latif, Rokas Dargis, Jeffery A. Bennett, Kristofer G. Reyes, Milad Abolhasani
2022 J jnl
Autonomous Nanocrystal Doping by Self-Driving Fluidic Micro-Processors.
Adv. Intell. Syst.
Fazel Bateni, Robert W. Epps, Kameel Antami, Rokas Dargis, Jeffery A. Bennett, Kristofer G. Reyes, Milad Abolhasani
2022 J jnl
Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels.
CoRR
Marcus Michael Noack, Harinarayan Krishnan, Mark D. Risser, Kristofer G. Reyes
2021 J jnl
Problem-fluent models for complex decision-making in autonomous materials research.
CoRR
Soojung Baek, Kristofer G. Reyes
2021 J jnl
Self-Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow.
Adv. Intell. Syst.
Kameel Abdel-Latif, Robert W. Epps, Fazel Bateni, Suyong Han, Kristofer G. Reyes, Milad Abolhasani
2021 J jnl
Self-Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow.
Adv. Intell. Syst.
Kameel Abdel-Latif, Robert W. Epps, Fazel Bateni, Suyong Han, Kristofer G. Reyes, Milad Abolhasani
2020 J jnl
Optimal Learning for Sequential Decisions in Laboratory Experimentation.
CoRR
Kristofer G. Reyes, Warren B. Powell
2020 J jnl
Optimal Learning with Local Nonlinear Parametric Models over Continuous Designs.
SIAM J. Sci. Comput.
Xinyu He, Kristofer G. Reyes, Warren B. Powell
2018 J jnl
A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model.
INFORMS J. Comput.
Yan Li, Kristofer G. Reyes, Jorge Vazquez-Anderson, Yingfei Wang, Lydia M. Contreras, Warren B. Powell
2015 J jnl
Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science.
SIAM J. Sci. Comput.
Yingfei Wang, Kristofer G. Reyes, Keith A. Brown, Chad A. Mirkin, Warren B. Powell
2014 J jnl
Fast Kinetic Monte Carlo Simulations Using Hash Table Based Caching with Applications to Nanowire Growth and Sintering.
Multiscale Model. Simul.
Kristofer G. Reyes