4 citations · 6 across the 3 of their papers we have counts for
3 papers
Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data
Hengrui Zhang, Alexandru B. Georgescu, Suraj Yerramilli +5
The increasing demands of sustainable energy, electronics, and biomedical applications call for next-generation functional materials with unprecedented properties. Of particular in…
Fully Bayesian inference for latent variable Gaussian process models
Suraj Yerramilli, Akshay Iyer, Wei Chen +1
Real engineering and scientific applications often involve one or more qualitative inputs. Standard Gaussian processes (GPs), however, cannot directly accommodate qualitative input…
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors
Liwei Wang, Suraj Yerramilli, Akshay Iyer +3
Scientific and engineering problems often require the use of artificial intelligence to aid understanding and the search for promising designs. While Gaussian processes (GP) stand…