Ekaterina Lobacheva
Ekaterina Lobacheva
National Research University Higher School of Economics / Faculty of Computer Science / Big Data and
Verified email at hse.ru - Homepage
Title
Cited by
Cited by
Year
Bayesian sparsification of recurrent neural networks
E Lobacheva, N Chirkova, D Vetrov
arXiv preprint arXiv:1708.00077, 2017
132017
Bayesian compression for natural language processing
N Chirkova, E Lobacheva, D Vetrov
arXiv preprint arXiv:1810.10927, 2018
112018
On power laws in deep ensembles
E Lobacheva, N Chirkova, M Kodryan, D Vetrov
arXiv preprint arXiv:2007.08483, 2020
92020
Automated real-time classification of functional states based on physiological parameters
EM Lobacheva, YN Galatenko, RF Gabidullina, VV Galatenko, ED Livshitz, ...
Procedia-Social and Behavioral Sciences 86, 373-378, 2013
92013
Semantic embeddings for program behavior patterns
A Chistyakov, E Lobacheva, A Kuznetsov, A Romanenko
arXiv preprint arXiv:1804.03635, 2018
72018
automated real-time classification of functional states: significance of individual tuning stage
MG Ya, E Podol’Skii Vladimir
Psychology in Russia: State of the art 6 (3), 2013
62013
Joint optimization of segmentation and color clustering
E Lobacheva, O Veksler, Y Boykov
Proceedings of the IEEE International Conference on Computer Vision, 1626-1634, 2015
52015
System and method of detecting malicious files using a trained machine learning model
AS Chistyakov, EM Lobacheva, AM Romanenko
US Patent 10,878,090, 2020
22020
Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones?
N Chirkova, E Lobacheva, D Vetrov
arXiv preprint arXiv:2005.07292, 2020
22020
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
E Lobacheva, M Kodryan, N Chirkova, A Malinin, D Vetrov
arXiv preprint arXiv:2106.15739, 2021
12021
System and method of managing computing resources for detection of malicious files based on machine learning model
AS Chistyakov, EM Lobacheva, AM Romanenko
US Patent 10,831,891, 2020
12020
Structured Sparsification of Gated Recurrent Neural Networks
E Lobacheva, N Chirkova, A Markovich, D Vetrov
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4989-4996, 2020
12020
Bayesian sparsification of gated recurrent neural networks
E Lobacheva, N Chirkova, D Vetrov
arXiv preprint arXiv:1812.05692, 2018
12018
Monotonic models for real-time dynamic malware detection
A Chistyakov, E Lobacheva, A Shevelev, A Romanenko
arXiv preprint arXiv:1804.03643, 2018
12018
Adaptive prediction time for sequence classification
M Ryabinin, E Lobacheva
12018
Deep part-based generative shape model with latent variables
A Kirillov, M Gavrikov, E Lobacheva, A Osokin, D Vetrov
27th British Machine Vision Conference (BMVC 2016), 2016
12016
On the Memorization Properties of Contrastive Learning
I Sadrtdinov, N Chirkova, E Lobacheva
arXiv preprint arXiv:2107.10143, 2021
2021
System and method detecting malicious files using machine learning
AS Chistyakov, EM Lobacheva, AM Romanenko
US Patent 10,929,534, 2021
2021
System and method for generating a convolution function for training a malware detection model
AS Chistyakov, EM Lobacheva, AM Romanenko
US Patent 10,922,410, 2021
2021
System and method of allocating computer resources for detection of malicious files
AC Chistyakov, EM Lobacheva, AM Romanenko
US Patent App. 17/062,798, 2021
2021
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