Abstract: Abstract. Bayesian optimization (BO) is increasingly employed in critical applications such as materials design to find optimal solutions with minimal costs. While BO is known for its sample efficiency, relying solely on ...

Abstract: Bayesian optimization (BO) is a sequential optimization strategy that is increasingly employed in a wide range of areas such as materials design. In real-world applications, acquiring high-fidelity (HF) data through physical ...

Abstract: Abstract. Foundation models are at the forefront of an increasing number of critical applications. In regards to technologies such as additive manufacturing (AM), these models have the potential to accelerate process design ...

Abstract: Anomalies are samples that significantly deviate from the rest of the data and their detection plays a major role in building machine learning models that can be reliably used in applications such as data-driven design and ...