| Learning inverse folding from millions of predicted structures C Hsu, R Verkuil, J Liu, Z Lin, B Hie, T Sercu, A Lerer, A Rives International Conference on Machine Learning, 8946--8970, 2022 | 409 | 2022 |
| Learning protein fitness models from evolutionary and assay-labeled data C Hsu, H Nisonoff, C Fannjiang, J Listgarten Nature biotechnology 40 (7), 1114-1122, 2022 | 209* | 2022 |
| Revisiting design choices in proximal policy optimization CCY Hsu, C Mendler-Dünner, M Hardt NeurIPS 2020 Workshop: Challenges of Real-World RL, 2020 | 82 | 2020 |
| Learning inverse folding from millions of predicted structures. bioRxiv 2022 C Hsu, R Verkuil, J Liu, Z Lin, B Hie, T Sercu, A Lerer, A Rives preprint, 2022 | 13 | 2022 |
| The prism manifold realization problem W Ballinger, C Hsu, W Mackey, Y Ni, T Ochse, F Vafaee Algebraic & Geometric Topology 20 (2), 757-816, 2020 | 11 | 2020 |
| Generative models for protein structures and sequences C Hsu, C Fannjiang, J Listgarten nature biotechnology 42 (2), 196-199, 2024 | 9 | 2024 |
| Learning inverse folding from millions of predicted structures. bioRxiv C Hsu, R Verkuil, J Liu, Z Lin, B Hie, T Sercu, A Lerer, A Rives Cold Spring Harbor Laboratory) 10 (2022.04), 10.487779, 2022 | 9 | 2022 |
| Linear dynamics: Clustering without identification C Hsu, M Hardt, M Hardt International Conference on Artificial Intelligence and Statistics, 918-929, 2020 | 7 | 2020 |
| On multidimensional and monotone k-sum C Hsu, C Umans International Symposium on Mathematical Foundations of Computer Science, 2017 | 7 | 2017 |
| Whynot, 2020 J Miller, C Hsu, J Troutman, J Perdomo, T Zrnic, L Liu, Y Sun, L Schmidt, ... URL https://doi. org/10.5281/zenodo 3875775, 7, 0 | 6 | |
| Nanopore callers for epigenetics from limited supervised data B Yao, C Hsu, G Goldner, Y Michaeli, Y Ebenstein, J Listgarten bioRxiv, 2021.06. 17.448800, 2021 | 5 | 2021 |
| Learning to (learn at test time) Y Sun, X Li, K Dalal, C Hsu, S Koyejo, C Guestrin, X Wang, T Hashimoto, ... arXiv preprint arXiv:2310.13807, 2023 | 4 | 2023 |
| A fast generalized DFT for finite groups of Lie type CCY Hsu, C Umans Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018 | 2 | 2018 |
| A new algorithm for fast generalized DFTs CCY Hsu, C Umans ACM Transactions on Algorithms (TALG) 16 (1), 1-20, 2019 | 1 | 2019 |
| Learning antibody sequence constraints from allelic inclusion M Jagota, C Hsu, T Mazumder, K Sung, WS DeWitt, J Listgarten, ... bioRxiv, 2024 | | 2024 |
| GENTANGLE: integrated computational design of gene entanglements JM Martí, C Hsu, C Rochereau, C Xu, T Blazejewski, H Nisonoff, ... Bioinformatics 40 (7), btae380, 2024 | | 2024 |
| Effective training of nanopore callers for epigenetic marks with limited labelled data B Yao, C Hsu, G Goldner, Y Michaeli, Y Ebenstein, J Listgarten Open Biology 14 (6), 230449, 2024 | | 2024 |
| Learning to Design and Engineer Proteins from Evolution, 3D Structures, and Experiments C Hsu University of California, Berkeley, 2023 | | 2023 |