99 citations · 219 across the 24 of their papers we have counts for
5 papers · 1 filter
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers
P. Rodriguez-Fernandez, N. T. Howard, A. Saltzman +6
This work presents the PORTALS framework, which leverages surrogate modeling and optimization techniques to enable the prediction of core plasma profiles and performance with nonli…
Sustainable Concrete via Bayesian Optimization
Sebastian Ament, Andrew Witte, Nishant Garg +1
Eight percent of global carbon dioxide emissions can be attributed to the production of cement, the main component of concrete, which is also the dominant source of CO2 emissions i…
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sebastian Ament, Samuel Daulton, David Eriksson +2
Expected Improvement (EI) is arguably the most popular acquisition function in Bayesian optimization and has found countless successful applications, but its performance is often e…
Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research
Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler +6
X-ray diffraction (XRD) is an essential technique to determine a material's crystal structure in high-throughput experimentation, and has recently been incorporated in artificially…
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
Aryan Deshwal, Sebastian Ament, Maximilian Balandat +3
We consider the problem of optimizing expensive black-box functions over high-dimensional combinatorial spaces which arises in many science, engineering, and ML applications. We us…