Kristofer G. Reyes

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 12

Top Topics

Autonomous Robotic

Top Venues

Adv. Intell. Syst.

SIAM J. Sci. Comput.

INFORMS J. Comput.

Publications

Amanda A. Volk, Kristofer G. Reyes, Jeffrey G. Ethier, Luke A. Baldwin
Pessimistic asynchronous sampling in high-cost Bayesian optimization. CoRR (2024)
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 (2023)
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)
Fazel Bateni, Robert W. Epps, Kameel Antami, 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)
Marcus Michael Noack, Harinarayan Krishnan, Mark D. Risser, Kristofer G. Reyes
Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels. CoRR (2022)
Kameel Abdel-Latif, Robert 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) (2021)
Kameel Abdel-Latif, Robert 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) (2021)
Soojung Baek, Kristofer G. Reyes
Problem-fluent models for complex decision-making in autonomous materials research. CoRR (2021)
Kristofer G. Reyes, Warren B. Powell
Optimal Learning for Sequential Decisions in Laboratory Experimentation. CoRR (2020)
Xinyu He, Kristofer G. Reyes, Warren B. Powell
Optimal Learning with Local Nonlinear Parametric Models over Continuous Designs. SIAM J. Sci. Comput. 42 (4) (2020)
Yan Li, Kristofer G. Reyes, Jorge Vazquez-Anderson, Yingfei Wang, Lydia M. Contreras, Warren B. Powell
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) (2018)
Yingfei Wang, Kristofer G. Reyes, Keith A. Brown, Chad A. Mirkin, Warren B. Powell
Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science. SIAM J. Sci. Comput. 37 (3) (2015)