From post

Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering.

, , , , , , , и . RECOMB, том 12074 из Lecture Notes in Computer Science, стр. 261-263. Springer, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Exploring Continual Learning for Code Generation Models., , , , , , , , , и 2 other автор(ы). CoRR, (2023)A Static Evaluation of Code Completion by Large Language Models., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops., , , и . BMC Bioinform., 24 (1): 399 (декабря 2023)Bifurcated Attention for Single-Context Large-Batch Sampling., , , , , , , , , и 3 other автор(ы). ICML, OpenReview.net, (2024)SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition., , и . ACL (1), стр. 722-731. Association for Computational Linguistics, (2019)Multi-lingual Evaluation of Code Generation Models., , , , , , , , , и 15 other автор(ы). CoRR, (2022)A Static Evaluation of Code Completion by Large Language Models., , , , , , , , , и . ACL (industry), стр. 347-360. Association for Computational Linguistics, (2023)Learning Code Preference via Synthetic Evolution., , , , , , , и . CoRR, (2024)Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering., , , , , , , и . RECOMB, том 12074 из Lecture Notes in Computer Science, стр. 261-263. Springer, (2020)Fewer Truncations Improve Language Modeling., , , , , , и . ICML, OpenReview.net, (2024)