Robert B. Gramacy

D-Tech (United States) — United States

Computer Science · Physical Sciences

38h-index6.1kcitations216works0.92yr avg
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Research Topics

Gaussian Processes and Bayesian Inference(92), Advanced Multi-Objective Optimization Algorithms(78), Optimal Experimental Design Methods(25), Probabilistic and Robust Engineering Design(19), Machine Learning and Algorithms(16)

Publications216 total

Modular Jump Gaussian Processes
Data Science in Science·2026Open Access
Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments
Quality Engineering·2026
Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models
arXiv (Cornell University)·2025Open Access
Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models
ArXiv.org·2025Open Access
Voronoi candidates for Bayesian optimization
Journal of Global Optimization·2025· 1 cited
Bayesian Statistical Inversion for High-Dimensional Computer Model Output and Spatially Distributed Counts
arXiv (Cornell University)·2025Open Access
Robust Wrapped Gaussian Process Inference for Noisy Angular Data
arXiv (Cornell University)·2025Open Access
Active Learning of Piecewise Gaussian Process Surrogates
Technometrics·2025· 1 cited
Gaussian process forecasting of sparse ecological time series
2025Open Access
Vecchia approximated Bayesian heteroskedastic Gaussian processes
arXiv (Cornell University)·2025Open Access
Synthesizing data products, mathematical models, and observations for lake temperature forecasting
The Annals of Applied Statistics·2025· 2 cited
Modular Jump Gaussian Processes
arXiv (Cornell University)·2025Open Access
Monotonic warpings for additive and deep Gaussian processes
Statistics and Computing·2025· 1 cited
Contour location for reliability in airfoil simulation experiments using deep Gaussian processes
The Annals of Applied Statistics·2025· 7 cited
Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments
arXiv (Cornell University)·2025Open Access
A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change
AMBIO·2024· 4 citedOpen Access
Monotonic warpings for additive and deep Gaussian processes
arXiv (Cornell University)·2024Open Access
Synthesizing data products, mathematical models, and observational measurements for lake temperature forecasting
arXiv (Cornell University)·2024Open Access
Augmenting a Simulation Campaign for Hybrid Computer Model and Field Data Experiments
Technometrics·2024· 2 citedOpen Access
Publishing an applied statistics paper: Guidance and advice from editors
Quality and Reliability Engineering International·2024· 2 cited
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Frequent Co-authors

Herbert K. H. Lee(6), Leah R. Johnson(4), Furong Sun(3), Mickaël Binois(3), Matthew A. Taddy(3), Sébastien Le Digabel(3), Stefan M. Wild(3), Nicholas G. Polson(3), Matthew J. Heaton(2), Abhirup Datta(2), Andrew O. Finley(2), Reinhard Furrer(2), Rajarshi Guhaniyogi(2), Florian Gerber(2), Dorit Hammerling(2), Matthias Katzfuß(2), Finn Lindgren(2), Douglas Nychka(2), Andrew Zammit‐Mangion(2), Michael Ludkovski(2)