Biography
Kilian Weinberger is a Professor in the Department of Computer Science at Cornell University. He received his Ph.D. from the University of Pennsylvania in Machine Learning under the supervision of Lawrence Saul and his undergraduate degree in Mathematics and Computing from the University of Oxford.
During his career he has won several best paper awards at ICML (2004), CVPR (2004, 2017), AISTATS (2005) and KDD (2014, runner-up award). In 2011 he was awarded the Outstanding AAAI Senior Program Chair Award and in 2012 he received an NSF CAREER award. In 2016 he was the recipient of the Daniel M Lazar '29 Excellence in Teaching Award and in 2021 became a Blavatnik National Awards Finalists. He was elected co-Program Chair for ICML 2016 and for AAAI 2018 and became president of the ICML society in 2023. He is a fellow of AAAI and ACM. In 2024 he joined the Sloan Fellowship selection committee.
Kilian Weinberger's research focuses on Machine Learning and its applications. In particular, he focuses on learning under resource constraints, metric learning, AI in Science, computer vision, language modeling, and deep learning. Before joining Cornell University, he was an Associate Professor at Washington University in St. Louis and before that he worked as a research scientist at Yahoo! Research in Santa Clara.
Research Interests
Selected Publications
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi "BERTScore: Evaluating Text Generation with BERT." International Conference on Learning Representations (ICLR) 2020, Addis Ababa, Ethiopia, April 26-30
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger "Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving." International Conference on Learning Representations (ICLR) 2020, Addis Ababa, Ethiopia, April 26-30
Jacob Gardner, Geoff Pleiss, Kilian Q. Weinberger, David Bindel, Andrew Wilson "GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration." Neural Information Processing Systems (NeurIPS), 2018.
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Q. Weinberger "Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving." Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 8445-8453.
Huang, Gao , Zhuang Liu, Laurens Q. van der Maaten, Kilian Weinberger. 2017. "Densely Connected Convolutional Networks." Computer Vision and Pattern Recognition (CVPR).
Weinberger, Kilian, L. K. Saul. 2009. "Distance Metric Learning for Large Margin Nearest Neighbor Classification." Journal of Machine Learning Research (JMLR) 10: 207-244.
Selected Awards and Honors
- Co-Program Chair for AAAI 2018
- Co-Program Chair for ICML 2016
- Best Student Paper Runner-Up Award KDD 2014
- NSF CAREER Award 2012
- AAAI Outstanding Senior Program Chair Award 2011
Education
PhD, University of Pennsylvania 2007
BA, University of Oxford 2002