Dmitry Vetrov

4.8k total citations · 1 hit paper
50 papers, 1.5k citations indexed

About

Dmitry Vetrov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Dmitry Vetrov has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Dmitry Vetrov's work include Adversarial Robustness in Machine Learning (7 papers), Advanced Neural Network Applications (7 papers) and Machine Learning and Data Classification (6 papers). Dmitry Vetrov is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Advanced Neural Network Applications (7 papers) and Machine Learning and Data Classification (6 papers). Dmitry Vetrov collaborates with scholars based in Russia, United States and Tajikistan. Dmitry Vetrov's co-authors include Ludmila I. Kuncheva, Andrew Gordon Wilson, Timur Garipov, Pavel Izmailov, D. A. Podoprikhin, Arsenii Ashukha, Dmitry Molchanov, Michael Figurnov, Yukun Zhu and Li Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, PLoS Genetics and Molecular Pharmaceutics.

In The Last Decade

Dmitry Vetrov

46 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Averaging Weights Leads to Wider Optima and Better Generalization

2018 329 citations Dmitry Vetrov et al. profile →

Peers

Countries citing papers authored by Dmitry Vetrov

Since Specialization

Citations

This map shows the geographic impact of Dmitry Vetrov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dmitry Vetrov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Vetrov more than expected).

Fields of papers citing papers by Dmitry Vetrov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry Vetrov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dmitry Vetrov. The network helps show where Dmitry Vetrov may publish in the future.

Co-authorship network of co-authors of Dmitry Vetrov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Vetrov. A scholar is included among the top collaborators of Dmitry Vetrov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitry Vetrov. Dmitry Vetrov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing 2024 ·(unknown), В. В. Титов, (unknown), Dmitry Vetrov	2
2	On Power Laws in Deep Ensembles 2020 ·Neural Information Processing Systems ·(unknown), (unknown), (unknown), Dmitry Vetrov	3
3	Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning 2020 ·arXiv (Cornell University) ·Arsenii Ashukha, (unknown), Dmitry Molchanov, Dmitry Vetrov	26
4	Variational Autoencoder with Arbitrary Conditioning 2019 ·International Conference on Learning Representations ·О. А. Иванов, Michael Figurnov, Dmitry Vetrov	12
5	Few-shot Generative Modelling with Generative Matching Networks 2018 ·International Conference on Artificial Intelligence and Statistics ·Sergey Bartunov, Dmitry Vetrov	25
6	Variance Networks: When Expectation Does Not Meet Your Expectations 2018 ·International Conference on Learning Representations ·(unknown), Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov	1
7	Spatially Adaptive Computation Time for Residual Networks 2017 ·Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry Vetrov, Ruslan Salakhutdinov	187
8	Structured Bayesian Pruning via Log-Normal Multiplicative Noise 2017 ·Neural Information Processing Systems ·(unknown), Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov	28
9	Relevance tagging machine 2015 ·Dmitry Molchanov, (unknown), Dmitry Vetrov	1
10	M-Best-Diverse labelings for submodular energies and beyond 2015 ·Alexander Kirillov, (unknown), Dmitry Vetrov, Carsten Rother, Bogdan Savchynskyy	7
11	Variational Inference for Sequential Distance Dependent Chinese Restaurant Process 2014 ·International Conference on Machine Learning ·Sergey Bartunov, Dmitry Vetrov	1
12	Putting MRFs on a Tensor Train 2014 ·International Conference on Machine Learning ·Alexander Novikov, (unknown), Anton Osokin, Dmitry Vetrov	8
13	Statistic Parametric Mapping of Changes in Gene Activity in Animal Brain during Acoustic Stimulation 2013 ·Bulletin of Experimental Biology and Medicine ·(unknown), Anton Osokin, (unknown), (unknown), (unknown), (unknown), Vladimir Galatenko, Dmitry Vetrov, K. V. Anokhin	1
14	Variational Relevance Vector Machine for Tabular Data 2010 ·Asian Conference on Machine Learning ·(unknown), Dmitry Vetrov, Lior Wolf, Tal Hassner	1
15	Variational segmentation algorithms with label frequency constraints 2010 ·Pattern Recognition and Image Analysis ·(unknown), Dmitry Laptev, Anton Osokin, Dmitry Vetrov	4
16	An efficient method for feature selection in linear regression based on an extended Akaike’s information criterion 2009 ·Computational Mathematics and Mathematical Physics ·Dmitry Vetrov, (unknown), (unknown)	1
17	Video tracking and behaviour segmentation of laboratory rodents 2009 ·Pattern Recognition and Image Analysis ·(unknown), (unknown), (unknown), Dmitry Vetrov, Anton Konushin	2
18	Knowledge representation and acquisition in expert systems for pattern recognition 2007 ·Computational Mathematics and Mathematical Physics ·(unknown), Dmitry Vetrov, (unknown)	1
19	Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization 2006 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ludmila I. Kuncheva, Dmitry Vetrov	224
20	RECOGNITION: A UNIVERSAL SOFTWARE SYSTEM FOR RECOGNITION, DATA MINING, AND FORECASTING 2005 ·Pattern Recognition and Image Analysis ·Yu. I. Zhuravlev, (unknown), O. V. Sen’ko, (unknown), Dmitry Vetrov, (unknown), (unknown), (unknown), Anton Obukhov, (unknown), (unknown), (unknown), (unknown)	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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