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13 de may. de 2024 · Professor Zoubin Ghahramani, University of Cambridge, is Senior Director and Distinguished Researcher at Google, former Chief Scientist at Uber and a Fellow of the Royal Society.
13 de may. de 2024 · Tameem Adel, Zoubin Ghahramani, Adrian Weller; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:50-59, 2018. Turing affiliated authors. Weller. Ghahramani. Research areas. Machine learning. Direct link. Interpretability of representations in both deep generative and discriminative models is highly desirable.
Hace 5 días · Gintare Karolina Dziugaite, Zoubin Ghahramani, and Daniel M Roy. 2016. A study of the effect of jpg compression on adversarial images. arXiv preprint arXiv:1608.00853 (2016). Google Scholar; Gamaleldin Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian Goodfellow, and Jascha Sohl-Dickstein. 2018.
10 de may. de 2024 · Gal & Ghahramani (2016) Yarin Gal and Zoubin Ghahramani. Dropout as a bayesian approximation: Representing model uncertainty in deep learning.
Hace 3 días · Yarin Gal and Zoubin Ghahramani. Dropout as a bayesian approximation: Representing model uncertainty in deep learning. In ICML, pages 1050-1059. PMLR, 2016. Google Scholar Digital Library; Audun Jsang. Subjective Logic: A formalism for reasoning under uncertainty. Springer Publishing Company, Incorporated, 2018. Google Scholar
Hace 6 días · [2] Yarin Gal and Zoubin Ghahramani. Dropout as a bayesian approximation: Representing model uncertainty in deep learning. In Maria Florina Balcan and Kilian Q. Weinberger, editors, Proceedings of The 33rd International Conference on Machine Learning , volume 48 of Proceedings of Machine Learning Research , pages 1050–1059, New York, New York, USA, 20–22 Jun 2016.
17 de may. de 2024 · Yarin Gal and Zoubin Ghahramani. 2016. Dropout as a bayesian approximation: Representing model uncertainty in deep learning. In international conference on machine learning.
