Zobrazeno 1 - 10
of 4 163
pro vyhledávání: '"MILLER, JOHN P."'
A critical bottleneck for scientific progress is the costly nature of computer simulations for complex systems. Surrogate models provide an appealing solution: such models are trained on simulator evaluations, then used to emulate and quantify uncert
Externí odkaz:
http://arxiv.org/abs/2410.12690
Autor:
Miller, John Joshua, Mak, Simon, Sun, Benny, Narayanan, Sai Ranjeet, Yang, Suo, Sun, Zongxuan, Kim, Kenneth S., Kweon, Chol-Bum Mike
The optimization of expensive black-box simulators arises in a myriad of modern scientific and engineering applications. Bayesian optimization provides an appealing solution, by leveraging a fitted surrogate model to guide the selection of subsequent
Externí odkaz:
http://arxiv.org/abs/2410.01196
Autor:
Huang, Tianshu, Miller, John, Prabhakara, Akarsh, Jin, Tao, Laroia, Tarana, Kolter, Zico, Rowe, Anthony
Simulation is an invaluable tool for radio-frequency system designers that enables rapid prototyping of various algorithms for imaging, target detection, classification, and tracking. However, simulating realistic radar scans is a challenging task th
Externí odkaz:
http://arxiv.org/abs/2403.03896
Autor:
Miller, John Joshua, Mak, Simon
The optimization of a black-box simulator over control parameters $\mathbf{x}$ arises in a myriad of scientific applications. In such applications, the simulator often takes the form $f(\mathbf{x},\boldsymbol{\theta})$, where $\boldsymbol{\theta}$ ar
Externí odkaz:
http://arxiv.org/abs/2403.03816
Accelerated sea level rise has resulted in recurrent flooding in coastal regions, increasingly impacting both transportation systems and local populations. Using the Hampton Roads region in Virginia as a case study, this study a. identifies hotspots
Externí odkaz:
http://arxiv.org/abs/2402.07959
Autor:
Miller, John A., Aldosari, Mohammed, Saeed, Farah, Barna, Nasid Habib, Rana, Subas, Arpinar, I. Budak, Liu, Ninghao
Deep Learning has been successfully applied to many application domains, yet its advantages have been slow to emerge for time series forecasting. For example, in the well-known Makridakis (M) Competitions, hybrids of traditional statistical or machin
Externí odkaz:
http://arxiv.org/abs/2401.13912
Due to accelerated sea level rise and climate change, the transportation system is increasingly affected by recurrent flooding coastal regions, yet the cumulative travel disruption effects are not well understood. In Part 1 of this study, the accessi
Externí odkaz:
http://arxiv.org/abs/2402.03335
Recurrent flooding has increased rapidly in coastal regions due to sea level rise and climate change. A key metric for evaluating transportation system degradation is accessibility, yet the lack of temporally and spatially disaggregate data means tha
Externí odkaz:
http://arxiv.org/abs/2402.03334