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Diana Mincu
Diana Mincu
在 google.com 的电子邮件经过验证
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
7982023
Underspecification presents challenges for credibility in modern machine learning
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
Journal of Machine Learning Research 23 (226), 1-61, 2022
7072022
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
702024
Healthsheet: development of a transparency artifact for health datasets
N Rostamzadeh, D Mincu, S Roy, A Smart, L Wilcox, M Pushkarna, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
452022
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications
J Schrouff, N Harris, O Koyejo, I Alabdulmohsin, E Schnider, ...
arXiv preprint arXiv:2202.01034, 2022
382022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
J Schrouff, N Harris, S Koyejo, IM Alabdulmohsin, E Schnider, ...
Advances in Neural Information Processing Systems 35, 19304-19318, 2022
362022
Best of both worlds: local and global explanations with human-understandable concepts
J Schrouff, S Baur, S Hou, D Mincu, E Loreaux, R Blanes, J Wexler, ...
arXiv preprint arXiv:2106.08641, 2021
272021
Concept-based model explanations for electronic health records
D Mincu, E Loreaux, S Hou, S Baur, I Protsyuk, M Seneviratne, A Mottram, ...
Proceedings of the Conference on Health, Inference, and Learning, 36-46, 2021
252021
Developing robust benchmarks for driving forward AI innovation in healthcare
D Mincu, S Roy
Nature Machine Intelligence, 2022
212022
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing
S Roy, D Mincu, E Loreaux, A Mottram, I Protsyuk, N Harris, Y Xue, ...
Journal of the American Medical Informatics Association 28 (9), 1936-1946, 2021
172021
Batch calibration: Rethinking calibration for in-context learning and prompt engineering
H Zhou, X Wan, L Proleev, D Mincu, J Chen, K Heller, S Roy
arXiv preprint arXiv:2309.17249, 2023
152023
Underspecification presents challenges for credibility in modern machine learning. arXiv
A D’Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
arXiv preprint arXiv:2011.03395, 2020
112020
Disability prediction in multiple sclerosis using performance outcome measures and demographic data
S Roy, D Mincu, L Proleev, N Rostamzadeh, C Ghate, N Harris, C Chen, ...
Conference on Health, Inference, and Learning, 375-396, 2022
52022
Anniversary AI reflections
N Ferruz, M Zitnik, PY Oudeyer, E Hine, N Sengupta, Y Shi, D Mincu, ...
Nature Machine Intelligence 6 (1), 6-12, 2024
22024
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression
A Norcliffe, L Proleev, D Mincu, FL Hartsell, K Heller, S Roy
arXiv preprint arXiv:2302.07854, 2023
12023
STUDY: Socially Aware Temporally Casual Decoder Recommender Systems
E Ahmed, D Mincu, L Harrell, K Heller, S Roy
arXiv preprint arXiv:2306.07946, 2023
2023
Performance of Machine Learning Models for Predicting High-Severity Symptoms in Multiple Sclerosis
S Roy, D Mincu, L Proleev, C Ghate, J Graves, D Steiner, F Hartsell, ...
2023
Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models
A Norcliffe, L Proleev, D Mincu, FL Hartsell, K Heller, S Roy
arXiv e-prints, arXiv: 2302.07854, 2023
2023
Concept-based model explanations for Electronic Health Records
S Baur, S Hou, E Loreaux, D Mincu, A Mottram, I Protsyuk, N Tomasev, ...
arXiv e-prints, arXiv: 2012.02308, 2020
2020
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings: Supplement
J Schrouff, N Harris, O Koyejo, I Alabdulmohsin, E Schnider, ...
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