Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design
Hwanwoo Kim, Simon Mak, Ann-Kathrin Schuetz, Alan Poon
arXiv:2508.01834
Bayesian inference analysis of jet quenching using inclusive jet and hadron suppression measurements
JETSCAPE Collaboration (R. Ehlers et al.)
Physical Review C111 5, 054913 (2025)
arXiv:2408.08247
A Gaussian Process Generative Model for QCD Equation of State
J. Gong, H. Roch and C. Shen
Physical Review C111 4, 044912 (2025)
arXiv:2410.22160
RESuM: Rare Event Surrogate Model for Physics Detector Design
A.-K. Schuetz, A. W. P. Poon, and A. Li
ICLR 2025 Proceedings [openreview.net]
arXiv:2410.03873 [physics.ins-det]
Model emulation and closure tests for (3+1)D relativistic heavy-ion collisions
H. Roch, S. A. Jahan and C. Shen
Physical Review C110, 044904 (2024)
arXiv:2405.12019
Bayesian analysis of (3+1)D relativistic nuclear dynamics with the RHIC beam energy scan data
S. A. Jahan, H. Roch and C. Shen
Physical Review C110, 054905 (2024)
arXiv:2408.00537
A graphical multi-fidelity Gaussian process model, with application to emulation of expensive computer simulations
Y. Ji, S. Mak, D. Soeder, J. F. Paquet, and S. A. Bass
Technometrics 66, 267 (2024)
Conglomerate multi-fidelity Gaussian process modeling, with application to heavy-ion collisions
Y. Ji, H. S. Yuchi, D. Soeder, J.-F. Paquet, S. A. Bass, V. R. Joseph, C. F. Wu, and S. Mak
SIAM/ASA Journal of Uncertainty Quantification 12, 473 (2024)
Stacking designs: designing experiments for multi-fidelity modeling with confidence
C. L. Sung, Y. Ji, S. Mak, W. Wang, and T. Tang
SIAM/ASA Journal on Uncertainty Quantification 12, 157 (2024)
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
X. Wang, S. Mak, J. Miller, and J. Wu
arXiv:2410.12690
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
T. Tang, S. Mak, and D. Dunson
SIAM/ASA Journal on Uncertainty Quantification 12, 1085 (2024)
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions
X. Zheng, S. Mak, L. Xie, and Y. Xie
Statistical Analysis and Data Mining: The ASA Data Science Journal 17, e11670 (2024)
Bayesflo: Bayesian fault localization of complex software systems
Y. Ji, S. Mak, R. Lekivetz, and J. Morgan
arXiv:2403.08079
Percept: a new online change-point detection method using topological data analysis
X. Zheng, S. Mak, L. Xie, and Y. Xie
Technometrics 65, 162 (2023)
Acceleration of radiological mapping by image super resolution
L. Pan and J. Vavrek
2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), pp. 1–2, IEEE.
Trigonometric quadrature fourier features for scalable Gaussian process regression
K. Li, M. Balakirsky, and S. Mak
2024 International Conference on Artificial Intelligence and Statistics
ACE: Active learning for causal inference with expensive experiments
D. Song, S. Mak, and C. F. Wu
29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: Workshop on Causal Inference and Machine Learning (2023)