| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 7058 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 3467 | 2024 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1259 | 2025 |
| 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 | 1049 | 2022 |
| 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 | 100 | 2022 |
| 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 | 90 | 2023 |
| 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 | 86 | 2022 |
| 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, 107, 2022 | 51 | 2022 |
| 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 | 46 | 2021 |
| Developing robust benchmarks for driving forward AI innovation in healthcare D Mincu, S Roy Nature Machine Intelligence, 2022 | 43 | 2022 |
| 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 | 32 | 2021 |
| 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 | 29 | 2021 |
| 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 | 15 | 2024 |
| 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 | 13 | 2022 |
| Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis S Roy, D Mincu, L Proleev, C Ghate, JS Graves, DF Steiner, FL Hartsell, ... Scientific Reports 15 (1), 18209, 2025 | 4 | 2025 |
| 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 | 3 | 2023 |
| Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models A Norcliffe, L Proleev, D Mincu, F Hartsell, K Heller, S Roy 1048550/arXiv2 2302 (07854), 1-24, 2023 | 1 | 2023 |
| LeMAJ (Legal LLM-as-a-Judge): Bridging Legal Reasoning and LLM Evaluation J Enguehard, M Van Ermengem, K Atkinson, S Cha, AG Chowdhury, ... Proceedings of the Natural Legal Language Processing Workshop 2025, 318-337, 2025 | | 2025 |
| STUDY: Socially Aware Temporally Causal Decoder Recommender Systems E Ahmed, D Mincu, L Harrell, K Heller, S Roy arXiv preprint arXiv:2306.07946, 2023 | | 2023 |
| Disability prediction in multiple sclerosis using performance outcome measures and demographic data D Mincu arXiv (Cornell University), 2022 | | 2022 |
Jessica SchrouffDeepMindVerified email at deepmind.com
