7 papers
Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention
Akash Yadav, Taiwo A. Adebiyi, Ruda Zhang
Transformer-based scientific foundation models are increasingly deployed in high-stakes settings, but current architectures give deterministic outputs and provide limited support f…
Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization
Bach Do, Nafeezat A. Ajenifuja, Taiwo A. Adebiyi +1
High-fidelity simulations and physical experiments are essential for engineering analysis and design, yet their high cost often makes two critical tasks--global sensitivity analysi…
Achieving high-performance polarization-independent nonreciprocal thermal radiation with pattern-free heterostructures
Bach Do, Bardia Nabavi, Sina Jafari Ghalekohneh +3
Many advanced energy harvesting technologies rely on advanced control of thermal emission. Recently, it has been shown that the emissivity and absorptivity of thermal emitters can…
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
Taiwo A. Adebiyi, Bach Do, Ruda Zhang
Bayesian optimization devolves the global optimization of a costly objective function to the global optimization of a sequence of acquisition functions. This inner-loop optimizatio…
Gaussian Process Thompson Sampling via Rootfinding
Taiwo A. Adebiyi, Bach Do, Ruda Zhang
Thompson sampling (TS) is a simple, effective stochastic policy in Bayesian decision making. It samples the posterior belief about the reward profile and optimizes the sample to ob…
Automated design of nonreciprocal thermal emitters via Bayesian optimization
Bach Do, Sina Jafari Ghalekohneh, Taiwo Adebiyi +2
Nonreciprocal thermal emitters that break Kirchhoff's law of thermal radiation promise exciting applications for thermal and energy applications. The design of the bandwidth and an…