Taedong Yun

11 papers A* 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Case for Leveraging Generative AI to Expand and Enhance Training in the Provision of Mental Health Services.
CoRR
Hannah R. Lawrence, Shannon Wiltsey Stirman, Samuel Dorison, Taedong Yun, Megan Jones Bell
2025 — conf
Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coaching Agent Interactions.
ACL (Findings)
Taedong Yun, Eric Yang, Mustafa Safdari, Jong Ha Lee, Vaishnavi Vinod Kumar, S. Sara Mahdavi, Jonathan Amar, Derek Peyton, Reut Aharony, Andreas Michaelides, Logan Douglas Schneider, Isaac R. Galatzer-Levy, Yugang Jia, John Canny, Arthur Gretton, Maja J. Mataric
2025 J jnl
Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coaching Agent Interactions.
CoRR
Taedong Yun, Eric Yang, Mustafa Safdari, Jong Ha Lee, Vaishnavi Vinod Kumar, S. Sara Mahdavi, Jonathan Amar, Derek Peyton, Reut Aharony, Andreas Michaelides, Logan D. Schneider, Isaac R. Galatzer-Levy, Yugang Jia, John Canny, Arthur Gretton, Maja J. Mataric
2023 J jnl
Evaluating unsupervised disentangled representation learning for genomic discovery and disease risk prediction.
CoRR
Taedong Yun
2023 J jnl
Improving variant calling using population data and deep learning.
BMC Bioinform.
Nae-Chyun Chen, Alexey Kolesnikov, Sidharth Goel, Taedong Yun, Pi-Chuan Chang, Andrew Carroll
2022 J jnl
Underspecification Presents Challenges for Credibility in Modern Machine Learning.
J. Mach. Learn. Res.
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
2021 J jnl
Accurate, scalable cohort variant calls using DeepVariant and GLnexus.
Bioinform.
Taedong Yun, Helen Li, Pi-Chuan Chang, Michael F. Lin, Andrew Carroll, Cory Y. McLean
2021 A* conf
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression.
NeurIPS
Steve Yadlowsky, Taedong Yun, Cory Y. McLean, Alexander D'Amour
2021 J jnl
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression.
CoRR
Steve Yadlowsky, Taedong Yun, Cory Y. McLean, Alexander D'Amour
2020 J jnl
Underspecification Presents Challenges for Credibility in Modern Machine Learning.
CoRR
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
2013 J jnl
Rainbow Graphs and Switching Classes.
SIAM J. Discret. Math.
Suho Oh, Hwanchul Yoo, Taedong Yun