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Vector Institute

Alternate names: Institut de Vector, Vector Institute for Artificial Intelligence
ROR: 03kqdja62
OpenAlex ID: I4210127509
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
2024 · Gary S Collins, Karel G M Moons, et al. · BMJ · 4,077
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The repertoire of mutational signatures in human cancer
2020 · Ludmil B. Alexandrov, Jaegil Kim, et al. · Nature · 3,469
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Pan-cancer analysis of whole genomes
2020 · Lauri A. Aaltonen, Federico Abascal, et al. · Nature · 3,055
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Segment anything in medical images
2024 · Jun Ma, Yuting He, et al. · Nature Communications · 2,943
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Shortcut learning in deep neural networks
2020 · Robert Geirhos, Jörn-Henrik Jacobsen, et al. · Nature Machine Intelligence · 2,118
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Inverse molecular design using machine learning: Generative models for matter engineering
2018 · Benjamin Sanchez-Lengeling, Alán Aspuru-Guzik · Science · 2,048
Noisy intermediate-scale quantum algorithms
2022 · Kishor Bharti, Alba Cervera-Lierta, et al. · Reviews of Modern Physics · 1,716
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Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction
2020 · Ali Punjani, Haowei Zhang, et al. · Nature Methods · 1,683
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The false hope of current approaches to explainable artificial intelligence in health care
2021 · Marzyeh Ghassemi, Luke Oakden-Rayner, et al. · The Lancet Digital Health · 1,661
Moment Matching for Multi-Source Domain Adaptation
2019 · Xingchao Peng, Qinxun Bai, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 1,623
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Deep learning enables rapid identification of potent DDR1 kinase inhibitors
2019 · Alex Zhavoronkov, Yan A. Ivanenkov, et al. · Nature Biotechnology · 1,533
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
2024 · Haotian Cui, Chloe Wang, et al. · Nature Methods · 1,376
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Do no harm: a roadmap for responsible machine learning for health care
2019 · Jenna Wiens, Suchi Saria, et al. · Nature Medicine · 1,235
Quantum Chemistry in the Age of Quantum Computing
· Cao, Y, Romero, J, et al. · OPUS - Open Publications of UTS Scholars (University of Technology Sydney) · 1,171
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The evolutionary history of 2,658 cancers
2020 · Moritz Gerstung, Clemency Jolly, et al. · Nature · 1,046
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A deep learning framework for neuroscience
2019 · Blake A. Richards, Timothy P. Lillicrap, et al. · Nature Neuroscience · 1,019
3D variability analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM
2021 · Ali Punjani, David J. Fleet · Journal of Structural Biology · 978
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Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
2021 · Laleh Seyyed-Kalantari, Haoran Zhang, et al. · Nature Medicine · 906
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Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms
2019 · Sukin Sim, Peter D. Johnson, et al. · Advanced Quantum Technologies · 892
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Patterns of somatic structural variation in human cancer genomes
2020 · Yilong Li, Nicola D. Roberts, et al. · Nature · 866
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Neural-network quantum state tomography
2018 · Giacomo Torlai, Guglielmo Mazzola, et al. · Nature Physics · 843
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Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
2020 · Daniil Polykovskiy, Alexander Zhebrak, et al. · Frontiers in Pharmacology · 828
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Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
2019 · Towaki Takikawa, David Acuna, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 814
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Self-driving laboratory for accelerated discovery of thin-film materials
2020 · B. P. MacLeod, F. G. L. Parlane, et al. · Science Advances · 810
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
2022 · Lukas Brunke, Melissa Greeff, et al. · Annual Review of Control Robotics and Autonomous Systems · 768
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Works count: 3,740
Citation count: 322,900
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