Timur Garipov - Concepedia

Author

Timur Garipov

National Research University Higher School of Economics ORCID

Also Known As

Creech, Trevor, Garipov, Timur, Timur A. Garipov, Timur Garipov

Publications

1.7K

Citations

H-Index

Concepts

All Affiliations

National Research University Higher School of Economics Cornell University Samsung (United States)Skolkovo Institute of Science and Technology Lomonosov Moscow State University

About

Timur Garipov is an author at National Research University Higher School of Economics specializing in computer science, deep learning, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	1.6K
2	Computer Science	10	10	1.6K
3	Data Science	9	9	1.6K
4	Bayesian Inference	4	4	260
5	Artificial Intelligence	1	1	10

Timur Garipov

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov, D. A. Podoprikhin, Timur Garipov, Mathematical ProgrammingGeometric LearningConvolutional Neural NetworkEngineeringMachine Learning	2018	616
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov, D. A. Podoprikhin, Timur Garipov, arXiv (Cornell University) Mathematical ProgrammingGeometric LearningConvolutional Neural NetworkEngineeringMachine Learning	2018	225
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs Timur Garipov, Pavel Izmailov, D. A. Podoprikhin, arXiv (Cornell University) Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2018	212
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox, Timur Garipov, Pavel Izmailov, arXiv (Cornell University) Bayesian StatisticsEngineeringMachine LearningData ScienceMachine Learning Model	2019	180
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs Timur Garipov, Pavel Izmailov, D. A. Podoprikhin, Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2018	167
Ultimate tensorization: compressing convolutional and FC layers alike Timur Garipov, Dmitry Podoprikhin, Alexander Novikov, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningAutoencodersImage Analysis	2016	102
Subspace Inference for Bayesian Deep Learning Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Geometric LearningBayesian StatisticParameter SpaceEngineeringMachine Learning	2019	51
Subspace Inference for Bayesian Deep Learning Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, arXiv (Cornell University) Geometric LearningBayesian StatisticParameter SpaceEngineeringMachine Learning	2019	19
Bayesian Incremental Learning for Deep Neural Networks Max Kochurov, Timur Garipov, Dmitry Podoprikhin, arXiv (Cornell University) Artificial IntelligenceIncremental LearningDeep Neural NetworksBayesian Incremental LearningMachine Learning	2018	10
Towards understanding the true loss surface of deep neural networks using random matrix theory and iterative spectral methods Diego Granziol, Timur Garipov, Dmitry Vetrov, Spectral TheoryTrue Loss SurfaceDeep Neural NetworksEngineeringMachine Learning	2019	10

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