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Yaniv Ovadia
Yaniv Ovadia
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Cited by
Year
Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift
Y Ovadia, E Fertig, J Ren, Z Nado, D Sculley, S Nowozin, J Dillon, ...
Advances in neural information processing systems 32, 2019
11712019
Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift
Y Ovadia, E Fertig, J Ren, Z Nado, D Sculley, S Nowozin, J Dillon, ...
Advances in neural information processing systems 32, 2019
11712019
Jane: a new tool for the cophylogeny reconstruction problem
C Conow, D Fielder, Y Ovadia, R Libeskind-Hadas
Algorithms for Molecular Biology 5, 1-10, 2010
4002010
The cophylogeny reconstruction problem is NP-complete
Y Ovadia, D Fielder, C Conow, R Libeskind-Hadas
Journal of Computational Biology 18 (1), 59-65, 2011
822011
Can you trust your model’s uncertainty
Y Ovadia, E Fertig, J Ren, Z Nado, D Sculley, S Nowozin, JV Dillon, ...
evaluating predictive uncertainty under dataset shift, 2019
442019
Sketchgraphs: A large-scale dataset for modeling relational geometry in computer-aided design
A Seff, Y Ovadia, W Zhou, RP Adams
arXiv preprint arXiv:2007.08506, 2020
402020
Estimating the spectral density of large implicit matrices
RP Adams, J Pennington, MJ Johnson, J Smith, Y Ovadia, B Patton, ...
arXiv preprint arXiv:1802.03451, 2018
272018
Dppnet: Approximating determinantal point processes with deep networks
ZE Mariet, Y Ovadia, J Snoek
Advances in Neural Information Processing Systems 32, 2019
92019
Learning to count mosquitoes for the sterile insect technique
Y Ovadia, Y Halpern, D Krishnan, J Livni, D Newburger, R Poplin, T Zha, ...
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
82017
Computational Feasibility of Increasing the Visibility of Vertices in Covert Networks
YJ Ovadia
22010
Predictive classification of insects
M Desnoyer, V Criswell, J Livni, Y Ovadia, P Massaro, N Snoad, ...
US Patent App. 16/859,397, 2020
12020
Predictive models for visually classifying insects
T Zha, Y Ovadia, D Newburger, D Krishnan, J Livni, M Desnoyer
US Patent 11,151,423, 2021
2021
Representation Learning for Seismic Hawkes Processes
D Belanger, Y Ovadia, M Bileschi, B Meade
Increasing Visibility of Vertices in Covert Networks
Y Ovadia
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