Kilian Weinberger, PhD

Kilian Weinberger

Kilian Weinberger, PhD is Principal Scientist at ASAPP and an Associate Professor in the Department of Computer Science at Cornell University. He received his Ph.D. in Machine Learning from the University of Pennsylvania and his undergraduate degree in Mathematics and Computing from the University of Oxford. Kilian focuses on machine learning and its applications. In particular, he focuses on learning under resource constraints, metric learning, Gaussian Processes, computer vision and deep learning. For his research, Kilian has won several best paper awards at ICML, CVPR, AISTATS and KDD and was awarded the Outstanding AAAI Senior Program Chair Award and received an NSF CAREER award. He was elected co-Program Chair for ICML 2016 and for AAAI 2018.

From network compression to DenseNets

Neural Network Compression. What is it, and why does it matter? Here’s a look at what led to the development of DenseNets for parameter-efficient networks with significantly more accurate predictions. Read more