15 citations · 25 across the 19 of their papers we have counts for
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eess.SP2022
Adaptive Bayesian Beamforming for Imaging by Marginalizing the Speed of Sound
Kyurae Kim, Simon Maskell, Jason F. Ralph
Imaging methods based on array signal processing often require a fixed propagation speed of the medium, or speed of sound (SoS) for methods based on acoustic signals. The resolutio…
cs.DC2022★ 15 cited
A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization
Kyurae Kim, Youngjae Kim, Sungyong Park
This paper proposes Bayesian optimization augmented factoring self-scheduling (BO FSS), a new parallel loop scheduling strategy. BO FSS is an automatic tuning variant of the factor…
cs.LG2022★ 3 cited
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
Kyurae Kim, Jisu Oh, Jacob R. Gardner +2
Minimizing the inclusive Kullback-Leibler (KL) divergence with stochastic gradient descent (SGD) is challenging since its gradient is defined as an integral over the posterior. Rec…