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Clara Fannjiang

Showing results (1-10 of 8) with videos related to

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Cold Spring Harbor Perspectives in Biology|December 5, 2023
Is Novelty Predictable?Clara Fannjiang, Jennifer Listgarten
Nature Biotechnology|February 16, 2024
Generative models for protein structures and sequencesChloe Hsu, Clara Fannjiang, Jennifer Listgarten
Nature Biotechnology|January 18, 2022
Learning protein fitness models from evolutionary and assay-labeled dataChloe Hsu, Hunter Nisonoff, Clara Fannjiang, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 18, 2022
Conformal prediction under feedback covariate shift for biomolecular designClara Fannjiang, Stephen Bates, Anastasios N Angelopoulos, et al.
Science (New York, N.Y.)|November 9, 2023
Prediction-powered inferenceAnastasios N Angelopoulos, Stephen Bates, Clara Fannjiang, et al.
The Journal of Experimental Biology|August 3, 2019
Augmenting biologging with supervised machine learning to study <i>in situ</i> behavior of the medusa <i>Chrysaora fuscescens</i>Clara Fannjiang, T Aran Mooney, Seth Cones, et al.
Arxiv|June 9, 2023
Machine Learning for Protein EngineeringKadina E Johnston, Clara Fannjiang, Bruce J Wittmann, et al.
Science Advances|January 24, 2024
Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapyDanqing Zhu, David H Brookes, Akosua Busia, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Cold Spring Harbor Perspectives in Biology|December 5, 2023
Is Novelty Predictable?Clara Fannjiang, Jennifer Listgarten
Nature Biotechnology|February 16, 2024
Generative models for protein structures and sequencesChloe Hsu, Clara Fannjiang, Jennifer Listgarten
Nature Biotechnology|January 18, 2022
Learning protein fitness models from evolutionary and assay-labeled dataChloe Hsu, Hunter Nisonoff, Clara Fannjiang, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 18, 2022
Conformal prediction under feedback covariate shift for biomolecular designClara Fannjiang, Stephen Bates, Anastasios N Angelopoulos, et al.
Science (New York, N.Y.)|November 9, 2023
Prediction-powered inferenceAnastasios N Angelopoulos, Stephen Bates, Clara Fannjiang, et al.
The Journal of Experimental Biology|August 3, 2019
Augmenting biologging with supervised machine learning to study <i>in situ</i> behavior of the medusa <i>Chrysaora fuscescens</i>Clara Fannjiang, T Aran Mooney, Seth Cones, et al.
Arxiv|June 9, 2023
Machine Learning for Protein EngineeringKadina E Johnston, Clara Fannjiang, Bruce J Wittmann, et al.
Science Advances|January 24, 2024
Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapyDanqing Zhu, David H Brookes, Akosua Busia, et al.
Pageof 1