Sebastian Nowozin - Concepedia

Author

Sebastian Nowozin

Microsoft Research (United Kingdom)ORCID

Also Known As

Nowozin, S, Nowozin, S., Nowozin, Sebastian, S. Nowozin, Sebastian Nowozin

157

Publications

12.9K

Citations

H-Index

162

Concepts

All Affiliations

Microsoft Research (United Kingdom)Microsoft (United States)Max Planck Institute for Biological Cybernetics University of Cambridge Google (United States)

About

Sebastian Nowozin is an author at Microsoft Research (United Kingdom) specializing in machine learning, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	40	69	9.2K
2	Management	6	6	1.3K
3	Health Sciences	5	5	771
4	Business	2	2	207
5	Education	1	1	32

Sebastian Nowozin

Publications

11K

Citations

H-Index

Page 1

	Year	Citations
On feature combination for multiclass object classification Peter Gehler, Sebastian Nowozin Multiple Instance LearningEngineeringMachine LearningObject CategorizationBiometrics	2009	792
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia, Emily Fertig, Jie Ren, arXiv (Cornell University) Dataset ShiftMachine LearningEngineeringMachine Learning ToolUncertain Data	2019	648
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin, Botond Cseke, Ryota Tomioka arXiv (Cornell University) Variational Divergence MinimizationEngineeringMachine LearningData ScienceGenerative Adversarial Network	2016	635
f-GAN: Training Generative Neural Samplers using Variational Divergence\n Minimization Sebastian Nowozin, Botond Cseke, Ryota Tomioka arXiv (Cornell University)	2016	607
Which Training Methods for GANs do actually Converge? Lars Mescheder, Andreas Geiger, Sebastian Nowozin arXiv (Cornell University) Generator DistributionsGenerator UpdateMachine LearningData ScienceEngineering	2018	606
DSAC — Differentiable RANSAC for Camera Localization Eric Brachmann, Alexander Krull, Sebastian Nowozin, EngineeringMachine LearningDeep Learning PipelinesLocalization TechniqueLocalization	2017	601
Instructing people for training gestural interactive systems Simon Fothergill, Helena M. Mentis, Pushmeet Kohli, EngineeringMachine LearningHuman Pose EstimationHuman-machine InteractionWearable Technology	2012	371
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift Yaniv Ovadia, Emily Fertig, Jie Ren, arXiv (Cornell University) Dataset ShiftMachine LearningEngineeringMachine Learning ToolUncertain Data	2019	367
PixelDefend: Leveraging Generative Models to Understand and Defend\n against Adversarial Examples Yang Song, Taesup Kim, Sebastian Nowozin, arXiv (Cornell University)	2017	338
Oblivious multi-party machine learning on trusted processors Olga Ohrimenko, Félix Schuster, Cédric Fournet, MPG.PuRe (Max Planck Society) Privacy ProtectionEngineeringMachine LearningInformation SecurityConfidential Computing	2016	334

Page 1