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期刊


刊名Nature Machine Intelligence
收藏年代2019～2024



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2019 2020 2021 2022 2023 2024

2024, vol.6, no.1 2024, vol.6, no.2 2024, vol.6, no.3 2024, vol.6, no.4 2024, vol.6, no.5

题名作者出版年年卷期
The rewards of reusable machine learning codeNature Machine Intelligence20242024, vol.6, no.4
Federated learning is not a cure-all for data ethicsMarieke Bak; Vince I. Madai; Leo Anthony Celi; Georgios A. Kaissis; Ronald Cornet; Menno Maris; Daniel Rueckert; Alena Buyx; Stuart McLennan20242024, vol.6, no.4
The curious case of the test set AUROCMichael Roberts; Alon Hazan; Soren Dittmer; James H. F. Rudd; Carola-Bibiane Schonlieb20242024, vol.6, no.4
Dangers of speech technology for workplace diversityMike Horia Mihail Teodorescu; Mingang K. Geiger; Lily Morse20242024, vol.6, no.4
Artificial intelligence tackles the nature-nurture debateJustin N. Wood20242024, vol.6, no.4
The benefits, risks and bounds of personalizing the alignment of large language models to individualsHannah Rose Kirk; Bertie Vidgen; Paul Rottger; Scott A. Hale20242024, vol.6, no.4
Synthetic Lagrangian turbulence by generative diffusion modelsT. Li; L. Biferale; F. Bonaccorso; M. A. Scarpolini; M. Buzzicotti20242024, vol.6, no.4
Tandem mass spectrum prediction for small molecules using graph transformersAdamo Young; Hannes Rost; Bo Wang20242024, vol.6, no.4
Equivariant 3D-conditional diffusion model for molecular linker designIlia Igashov; Hannes Stark; Clement Vignac; Arne Schneuing; Victor Garcia Satorras; Pascal Frossard; Max Welling; Michael Bronstein; Bruno Correia20242024, vol.6, no.4
Geometry-enhanced pretraining on interatomic potentialsTaoyong Cui; Chenyu Tang; Mao Su; Shufei Zhang; Yuqiang Li; Lei Bai; Yuhan Dong; Xingao Gong; Wanli Ouyang20242024, vol.6, no.4
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