Sloan Scholar Eric Yeats is the first author on a paper recently accepted to the International Conference on Machine Learning (ICML) 2021. The paper is titled “Improving Gradient Regularization using Complex-Valued Neural Networks.”
The ICML is the leading international academic conference in machine learning. During this year’s conference, Yeats will deliver a presentation, and his paper will be published in the conference proceedings.
Yeats, who came to Duke in fall 2019 as a member of the second cohort of Sloan Scholars, is pursuing his Ph.D. in electrical and computer engineering under the guidance of Helen Li, the Clare Boothe Luce Professor of Electrical and Computer Engineering. His research interest centers around neuromorphic computing—the design of novel brain-inspired computer hardware and algorithms for data-driven learning. Yeats is interested in pushing the performance boundaries of low-power, data-driven computing applications to make artificial intelligence more secure to malicious adversaries.
