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Kristofer G. Reyes
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2020 – today
- 2024
- [i5]Amanda A. Volk, Kristofer G. Reyes, Jeffrey G. Ethier, Luke A. Baldwin:
Pessimistic asynchronous sampling in high-cost Bayesian optimization. CoRR abs/2406.15291 (2024) - 2023
- [i4]Line Pouchard, Kristofer G. Reyes
, Francis J. Alexander, Byung-Jun Yoon:
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows. CoRR abs/2301.05763 (2023) - 2022
- [j9]Fazel Bateni, Robert Epps, Kameel Abdel-Latif, Rokas Dargis, Jeffery A. Bennett, Kristofer G. Reyes, Milad Abolhasani
Autonomous Nanocrystal Doping by Self-Driving Fluidic Micro-Processors. Adv. Intell. Syst. 4(5) (2022) - [j8]Fazel Bateni, Robert W. Epps
Autonomous Nanocrystal Doping by Self-Driving Fluidic Micro-Processors. Adv. Intell. Syst. 4(5) (2022) - [i3]Marcus Michael Noack, Harinarayan Krishnan, Mark D. Risser, Kristofer G. Reyes
Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels. CoRR abs/2205.09070 (2022) - 2021
- [j7]Kameel Abdel-Latif, Robert W. Epps
Self-Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow. Adv. Intell. Syst. 3(2): 2000245 (2021) - [j6]Kameel Abdel-Latif, Robert W. Epps, Fazel Bateni, Suyong Han, Kristofer G. Reyes, Milad Abolhasani
Self-Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow. Adv. Intell. Syst. 3(2): 2170022 (2021) - [i2]Soojung Baek, Kristofer G. Reyes:
Problem-fluent models for complex decision-making in autonomous materials research. CoRR abs/2103.07776 (2021) - 2020
- [j5]Xinyu He, Kristofer G. Reyes
Optimal Learning with Local Nonlinear Parametric Models over Continuous Designs. SIAM J. Sci. Comput. 42(4): A2134-A2157 (2020) - [i1]Kristofer G. Reyes, Warren B. Powell:
Optimal Learning for Sequential Decisions in Laboratory Experimentation. CoRR abs/2004.05417 (2020)
2010 – 2019
- 2018
- [j4]Yan Li
A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model. INFORMS J. Comput. 30(4): 750-767 (2018) - 2015
- [j3]Si Chen, Kristofer-Roy G. Reyes
Optimal Learning in Experimental Design Using the Knowledge Gradient Policy with Application to Characterizing Nanoemulsion Stability. SIAM/ASA J. Uncertain. Quantification 3(1): 320-345 (2015) - [j2]Yingfei Wang, Kristofer G. Reyes
Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science. SIAM J. Sci. Comput. 37(3) (2015) - 2014
- [j1]Kristofer G. Reyes
Fast Kinetic Monte Carlo Simulations Using Hash Table Based Caching with Applications to Nanowire Growth and Sintering. Multiscale Model. Simul. 12(1): 200-224 (2014)
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