Cory Y. McLean

According to our database, Cory Y. McLean authored at least 8 papers between 2011 and 2023.

Collaborative distances:

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

2023

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning.

Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y. McLean, Yossi Matias, Gregory S. Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila

CoRR, 2023

Multimodal LLMs for Health Grounded in Individual-Specific Data.

Anastasiya Belyaeva, Justin Cosentino, Farhad Hormozdiari, Krish Eswaran, Shravya Shetty, Greg Corrado, Andrew Carroll, Cory Y. McLean, Nicholas A. Furlotte

Proceedings of the Machine Learning for Multimodal Healthcare Data, 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

Knowledge distillation for fast and accurate DNA sequence correction.

Anastasiya Belyaeva, Joel Shor, Daniel E. Cook, Kishwar Shafin, Daniel Liu, Armin Töpfer, Aaron M. Wenger, William J. Rowell, Howard Yang, Alexey Kolesnikov, Cory Y. McLean, Maria Nattestad, Andrew Carroll, Pi-Chuan Chang

CoRR, 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

2019

GenomeWarp: an alignment-based variant coordinate transformation.

Cory Y. McLean, Yeongwoo Hwang, Ryan Poplin, Mark A. DePristo

Bioinform., 2019

2011

Computational analysis of the mammalian cis-regulatory landscape.

Cory Y. McLean

PhD thesis, 2011