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Cell Systems
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August 20, 2021
Informed training set design enables efficient machine learning-assisted directed protein evolution
Bruce J Wittmann, Yisong Yue, Frances H Arnold
Optics Express
|
February 18, 2026
Verifiably stable nonlinear control with reinforcement-learned diffractive optical networks
Mingliang Xie, Xiren Zhang, Jinghui Cai, et al.
Neuron
|
December 16, 2020
Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments
Logan Cross, Jeff Cockburn, Yisong Yue, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
December 22, 2025
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song, T Anderson Keller, Yisong Yue, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition
|
December 22, 2022
Task Programming: Learning Data Efficient Behavior Representations
Jennifer J Sun, Ann Kennedy, Eric Zhan, et al.
ACS Synthetic Biology
|
July 31, 2023
DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering
Jason Yang, Julie Ducharme, Kadina E Johnston, et al.
Cell Systems
|
September 11, 2025
Evaluation of machine learning-assisted directed evolution across diverse combinatorial landscapes
Francesca-Zhoufan Li, Jason Yang, Kadina E Johnston, et al.
Science Robotics
|
May 4, 2022
Neural-Fly enables rapid learning for agile flight in strong winds
Michael O'Connell, Guanya Shi, Xichen Shi, et al.
ACS Synthetic Biology
|
January 17, 2024
Correction to "DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering"
Jason Yang, Julie Ducharme, Kadina E Johnston, et al.
Journal of Chemical Information and Modeling
|
January 8, 2021
Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions
Michael R Maser, Alexander Y Cui, Serim Ryou, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
Cell Systems
|
August 20, 2021
Informed training set design enables efficient machine learning-assisted directed protein evolution
Bruce J Wittmann, Yisong Yue, Frances H Arnold
Optics Express
|
February 18, 2026
Verifiably stable nonlinear control with reinforcement-learned diffractive optical networks
Mingliang Xie, Xiren Zhang, Jinghui Cai, et al.
Neuron
|
December 16, 2020
Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments
Logan Cross, Jeff Cockburn, Yisong Yue, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
December 22, 2025
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song, T Anderson Keller, Yisong Yue, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition
|
December 22, 2022
Task Programming: Learning Data Efficient Behavior Representations
Jennifer J Sun, Ann Kennedy, Eric Zhan, et al.
ACS Synthetic Biology
|
July 31, 2023
DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering
Jason Yang, Julie Ducharme, Kadina E Johnston, et al.
Cell Systems
|
September 11, 2025
Evaluation of machine learning-assisted directed evolution across diverse combinatorial landscapes
Francesca-Zhoufan Li, Jason Yang, Kadina E Johnston, et al.
Science Robotics
|
May 4, 2022
Neural-Fly enables rapid learning for agile flight in strong winds
Michael O'Connell, Guanya Shi, Xichen Shi, et al.
ACS Synthetic Biology
|
January 17, 2024
Correction to "DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering"
Jason Yang, Julie Ducharme, Kadina E Johnston, et al.
Journal of Chemical Information and Modeling
|
January 8, 2021
Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions
Michael R Maser, Alexander Y Cui, Serim Ryou, et al.
Page
of 2