Generative AI workflows heavily rely on data-centric tasks - such as
fil...
This paper presents the results and insights from the black-box optimiza...
Bayesian optimization has recently emerged as a popular method for the
s...
We introduce the Metropolis-Hastings generative adversarial network (MH-...
We present a new data-driven benchmark system to evaluate the performanc...
We propose Bayesian hypernetworks: a framework for approximate Bayesian
...
We propose a general model explanation system (MES) for "explaining" the...
We propose a principled algorithm for robust Bayesian filtering and smoo...