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2020 – today
- 2024
[c4]Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli:
Mechanistic Design and Scaling of Hybrid Architectures. ICML 2024- [i2]Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli:
Mechanistic Design and Scaling of Hybrid Architectures. CoRR abs/2403.17844 (2024) - 2023
- [i1]Adam Winnifrith, Carlos Outeiral, Brian Hie:
Generative artificial intelligence for de novo protein design. CoRR abs/2310.09685 (2023) - 2022
- [c3]Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie
, Tom Sercu, Adam Lerer, Alexander Rives:
Learning inverse folding from millions of predicted structures. ICML 2022: 8946-8970 - 2020
- [c2]Brian Hie, Ellen D. Zhong, Bryan Bryson, Bonnie Berger:
Learning Mutational Semantics. NeurIPS 2020
2010 – 2019
- 2019
- [c1]Brian Hie, Hyunghoon Cho, Benjamin Demeo, Bryan Bryson, Bonnie Berger:
Geometric Sketching of Single-Cell Data Preserves Transcriptional Structure. RECOMB 2019: 299-301
Coauthor Index
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