research
∙
06/01/2023
Is novelty predictable?
Machine learning-based design has gained traction in the sciences, most ...
share
research
∙
02/08/2022
Conformal prediction for the design problem
In many real-world deployments of machine learning, we use a prediction ...
research
∙
06/14/2020
Autofocused oracles for model-based design
Data-driven design is making headway into a number of application areas,...
research
∙
05/24/2019
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization
We show that under mild conditions, Estimation of Distribution Algorithm...
research
∙
01/29/2019
Conditioning by adaptive sampling for robust design
We present a new method for design problems wherein the goal is to maxim...
research
∙
10/28/2018
Gaussian Process Prior Variational Autoencoders
Variational autoencoders (VAE) are a powerful and widely-used class of m...
research
∙
10/08/2018
Design by adaptive sampling
We present a probabilistic modeling framework and adaptive sampling algo...
research
∙
05/03/2012
