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Capabilities of Gemini Models in Medicine.

K. Saab, T. Tu, W. Weng, R. Tanno, D. Stutz, E. Wulczyn, F. Zhang, T. Strother, C. Park, E. Vedadi, J. Chaves, S. Hu, M. Schaekermann, A. Kamath, Y. Cheng, D. Barrett, C. Cheung, B. Mustafa, A. Palepu, D. McDuff, L. Hou, T. Golany, L. Liu, J. Alayrac, N. Houlsby, N. Tomasev, J. Freyberg, C. Lau, J. Kemp, J. Lai, S. Azizi, K. Kanada, S. Man, K. Kulkarni, R. Sun, S. Shakeri, L. He, B. Caine, A. Webson, N. Latysheva, M. Johnson, P. Mansfield, J. Lu, E. Rivlin, J. Anderson, B. Green, R. Wong, J. Krause, J. Shlens, E. Dominowska, S. Eslami, K. Chou, C. Cui, O. Vinyals, K. Kavukcuoglu, J. Manyika, J. Dean, D. Hassabis, Y. Matias, D. Webster, J. Barral, G. Corrado, C. Semturs, S. Mahdavi, J. Gottweis, A. Karthikesalingam, and V. Natarajan. CoRR, (2024)

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Roland Stutz

Alexander Stütz

Moritz Stutz

Ernst Stutz

Elfriede Stutz

Other publications of authors with the same name

Relating Adversarially Robust Generalization to Flat Minima.D. Stutz, M. Hein, and B. Schiele. ICCV, page 7787-7797. IEEE, (2021)Adversarial Training Against Location-Optimized Adversarial Patches.S. Rao, D. Stutz, and B. Schiele. ECCV Workshops (5), volume 12539 of Lecture Notes in Computer Science, page 429-448. Springer, (2020)Learning Optimal Conformal Classifiers.D. Stutz, K. Dvijotham, A. Cemgil, and A. Doucet. ICLR, OpenReview.net, (2022)Understanding and improving robustness and uncertainty estimation in deep learning.D. Stutz. Saarland University, Saarbrücken, Germany, (2022)Robustifying Token Attention for Vision Transformers.Y. Guo, D. Stutz, and B. Schiele. ICCV, page 17511-17522. IEEE, (2023)Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks.D. Stutz, M. Hein, and B. Schiele. ICML, volume 119 of Proceedings of Machine Learning Research, page 9155-9166. PMLR, (2020)Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions.Y. Guo, D. Stutz, and B. Schiele. CVPR, page 4108-4118. IEEE, (2023)Disentangling Adversarial Robustness and Generalization.D. Stutz, M. Hein, and B. Schiele. CVPR, page 6976-6987. Computer Vision Foundation / IEEE, (2019)Certified Robust Models with Slack Control and Large Lipschitz Constants.M. Losch, D. Stutz, B. Schiele, and M. Fritz. DAGM, volume 14264 of Lecture Notes in Computer Science, page 574-588. Springer, (2023)Capabilities of Gemini Models in Medicine.K. Saab, T. Tu, W. Weng, R. Tanno, D. Stutz, E. Wulczyn, F. Zhang, T. Strother, C. Park, E. Vedadi and 57 other author(s). CoRR, (2024)

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Disambiguation of "Stutz, David"

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Capabilities of Gemini Models in Medicine.

Please choose a person to relate this publication to

Roland Stutz

Alexander Stütz

Moritz Stutz

Ernst Stutz

Elfriede Stutz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Stutz, David"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Capabilities of Gemini Models in Medicine.

Please choose a person to relate this publication to

Roland Stutz

Alexander Stütz

Moritz Stutz

Ernst Stutz

Elfriede Stutz

Other publications of authors with the same name

Disambiguation

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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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MSOffice XML

Capabilities of Gemini Models in Medicine.