Taedong Yun

According to our database, Taedong Yun authored at least 6 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Improving variant calling using population data and deep learning.

Nae-Chyun Chen, Alexey Kolesnikov, Sidharth Goel, Taedong Yun, Pi-Chuan Chang, Andrew Carroll

BMC Bioinform., December, 2023

Evaluating unsupervised disentangled representation learning for genomic discovery and disease risk prediction.

Taedong Yun

CoRR, 2023

2022

Underspecification Presents Challenges for Credibility in Modern Machine Learning.

Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley

J. Mach. Learn. Res., 2022

2021

Accurate, scalable cohort variant calls using DeepVariant and GLnexus.

Taedong Yun, Helen Li, Pi-Chuan Chang, Michael F. Lin, Andrew Carroll, Cory Y. McLean

Bioinform., 2021

SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression.

Steve Yadlowsky, Taedong Yun, Cory Y. McLean, Alexander D'Amour

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2013

Rainbow Graphs and Switching Classes.

Suho Oh, Hwanchul Yoo, Taedong Yun

SIAM J. Discret. Math., 2013