Difference between revisions of "List of theses"

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==BS==
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===BS Thesises===
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{|class = "wikitable"
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|-
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! Link to the person
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! Thesis
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! Paper
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! GitHub Code
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! Slides
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! Video
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|-
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| [https://github.com/Intelligent-Systems-Phystech/Gorchakov-BS-thesis Gorchakov Vyacheslav]
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| [https://github.com/Intelligent-Systems-Phystech/Gorchakov-BS-thesis/blob/master/docs/Gorchakov_BS_Thesis_text.pdf Sampling by importance in the problem of DC power flow modeling. BS Thesis 2022 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Pilkevich-BS-Thesis GitHub Code]
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| [https://github.com/Intelligent-Systems-Phystech/Pilkevich-BS-Thesis/blob/master/docs/pres.pdf Slides]
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| [https://youtu.be/mmAacGSUvPQ?t=2620 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Gorpinich Gorpinich Maria]
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| [https://github.com/Intelligent-Systems-Phystech/Gorpinich-BS-Thesis/blob/master/paper/Gorpinich2021DistillingKnowledge.pdf Optimization of metaparameters in the problem of knowledge distillation. BS Thesis 2022 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Gorpinich-BS-Thesis GitHub Code]
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| [https://github.com/Intelligent-Systems-Phystech/Gorpinich-BS-Thesis/blob/master/paper/slides/Gorpinich2021DistillingKnowledge_slides.pdf Slides]
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| [https://youtu.be/mmAacGSUvPQ?t=835 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Anton39reg Pilkevich Anton]
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| [https://github.com/Intelligent-Systems-Phystech/Kurdyukova-BS-Thesis/raw/master/docs/Kurdyukova2022BSThesis.pdf Optimization of the criterion given by the neural network model in the problem of text detoxification. BS Thesis 2022 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Kurdyukova-BS-Thesis/raw/master/code/ccm_accelerometer.ipynb GitHub Code]
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| [https://github.com/Intelligent-Systems-Phystech/Kurdyukova-BS-Thesis/raw/master/slides/Kurdyukova2022Slides.pdf Slides]
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| [https://youtu.be/mmAacGSUvPQ?t=4035 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Antonina_Kurdyukova Kurdyukova Antonina]
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| [https://github.com/Intelligent-Systems-Phystech/Kurdyukova-BS-Thesis/raw/master/docs/Kurdyukova2022BSThesis.pdf Reducing the dimension of the phase space in problems of canonical correlation analysis. BS Thesis 2022 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Kurdyukova-BS-Thesis/raw/master/code/ccm_accelerometer.ipynb GitHub Code]
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| [https://github.com/Intelligent-Systems-Phystech/Kurdyukova-BS-Thesis/raw/master/slides/Kurdyukova2022Slides.pdf Slides]
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| [https://youtu.be/mmAacGSUvPQ?t=1635 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Hristolubov_Maxim Khristolyubov Maxim]
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| [https://github.com/Intelligent-Systems-Phystech/Khristolyubov-BS-Thesis/blob/main/paper/Khristolyubov_Bacalavr_Thesis%20(24).pdf Model parameter space for phase trajectory approximation. BS Thesis 2022 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Khristolyubov-BS-Thesis/tree/main/code GitHub Code]
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| [https://github.com/Intelligent-Systems-Phystech/Khristolyubov-BS-Thesis/blob/main/slides/BS_slides_.pdf Slides]
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| [https://youtu.be/mmAacGSUvPQ?t=5130 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Rustem_Messi Islamov Rustem]
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| [http://www.machinelearning.ru/wiki/images/c/ce/Islamov2021BachelorThesisShort.pdf Second order distributed methods with fast convergence rate and compression. BS Thesis 2021 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Islamov-BS-Thesis/tree/main/Code GitHub Code]
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| [http://www.machinelearning.ru/wiki/images/f/f7/Islamov2021ThesisPresentation.pdf Slides]
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| [https://youtu.be/Jn7jChIBszw?t=6370 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Savelev_Nickolay Saveliev Nikolay]
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| [http://www.machinelearning.ru/wiki/images/a/aa/Savelev_text.pdf Structured pricing for interchangeable goods. BS Thesis 2021 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Savelev-BS-Thesis/tree/main/code GitHub Code]
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| [http://www.machinelearning.ru/wiki/images/0/00/Savelev_slides.pdf Slides]
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| [https://youtu.be/Jn7jChIBszw?t=8580 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Filatov_Andrey Filatov Andrey]
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| [http://www.machinelearning.ru/wiki/images/c/c3/Filatov2021BachelorThesis.pdf Rapid optimization of multitasking models. BS Thesis 2021 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Filatov-BS-Thesis GitHub Code]
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| [http://www.machinelearning.ru/wiki/images/b/bb/Filatov2021Presentation.pdf Slides]
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| [https://youtu.be/Jn7jChIBszw?t=9510 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Filippova_Anastasia Filippova Anastasia]
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| [http://www.machinelearning.ru/wiki/images/b/bf/FilippovaBachelorThesis.pdf Methods for analyzing human movements based on the readings of signals from sensors. BS Thesis 2021 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Filippova-BS-Thesis/tree/main/lib GitHub Code]
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| [http://www.machinelearning.ru/wiki/images/f/f9/Activity2Vec-6.pdf Slides]
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| [https://youtu.be/Jn7jChIBszw?t=10600 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Lexakhar Khar Aleksandra]
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| [http://www.machinelearning.ru/wiki/images/3/3e/Khar_diplom.pdf Dynamic pricing with Thomson sampling. BS Thesis 2021 MIPT.]
 +
|
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| [https://github.com/Intelligent-Systems-Phystech/Filippova-BS-Thesis/tree/main/lib GitHub Code]
 +
| [http://www.machinelearning.ru/wiki/images/f/f9/Activity2Vec-6.pdf Slides]
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| [https://youtu.be/Jn7jChIBszw?t=10600 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Vshokorov Shokorov Vyacheslav]
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| [http://www.machinelearning.ru/wiki/images/6/67/Shokorov2021BachelorThesis.pdf Estimation of parameters of a probabilistic model in the problem of domain adaptation. BS Thesis 2021 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/Khar-BS-Thesis/tree/main/code GitHub Code]
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| [http://www.machinelearning.ru/wiki/images/b/be/Khar_diplom_slides.pdf Slides]
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| [https://youtu.be/Jn7jChIBszw?t=11741 Video]
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Varenik.nv Varenyk Natalia]
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| [http://www.machinelearning.ru/wiki/images/4/41/Varenik2020thesis_final.pdf Neural network density approximation for constructing a probability-metric space. BS Thesis 2020 MIPT.]
 +
|
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| [https://github.com/Natalia-Varenik/NIR GitHub Code]
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| [http://www.machinelearning.ru/wiki/images/6/65/Varenik2020presentation_final.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Severilov.pa Severilov Pavel]
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| [http://www.machinelearning.ru/wiki/images/5/54/Severilov2020BcSThesis.pdf Assessing the Quality of Protein Structure Prediction Using Graph Convolutional Neural Networks. BS Thesis 2020 MIPT.]
 +
|
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| [https://github.com/severilov/Graph-nets-for-CASP/tree/master/code GitHub Code]
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| [http://www.machinelearning.ru/wiki/images/3/37/Severilov2020Slides.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:PanchenkoSviatoslav Panchenko Svyatoslav]
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| [http://www.machinelearning.ru/wiki/images/c/c1/Panchenko2020BcSThesis.pdf Construction of a Probabilistic Metric Space for Modeling Orientation-Dependent States. BS Thesis 2020 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/ProbabilisticMetricSpace GitHub Code]
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| [http://www.machinelearning.ru/wiki/images/d/d8/Panchenko2020BcSThesisPresentation.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Vmarkin Markin Valery]
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| [http://www.machinelearning.ru/wiki/images/8/88/MarkinThesis2020.pdf Local models in the analysis of brain signals. BS Thesis 2020 MIPT.]
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|
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| [https://github.com/Intelligent-Systems-Phystech/ECoG_Project GitHub Code]
 +
| [http://www.machinelearning.ru/wiki/images/8/83/MarkinSlides2020.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:AstakhovAnton Astakhov Anton]
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| [http://www.machinelearning.ru/wiki/images/8/8e/Astakhov2018AdaptiveScoring.pdf Adaptive credit scoring. BS Thesis 2020 MIPT.]
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|
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|
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|
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Tamaz Gadaev Tamaz]
 +
| [https://drive.google.com/file/d/1ymT1xw8tQY7UyTVaThDc2wFfN8-tf3FJ/view Estimating the optimal sample size. BS Thesis 2019 MIPT.]
 +
|
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|
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| [https://drive.google.com/file/d/19rZuo35407YWSg8L0FLFZP-7XeYCoMQ_/view Slides]
 +
|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Andriygav Grabovoi Andrey]
 +
| [http://www.machinelearning.ru/wiki/images/c/cd/Grabovoy2019BSThesis.pdf Analysis of properties of local models in time series clustering problems. BS Thesis 2019 MIPT.]
 +
|
 +
|
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| [http://www.machinelearning.ru/wiki/images/1/19/Grabovoy2019TimeSeriesClusteringSlides.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Ol_terekhov Terekhov Oleg]
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| Optimal Generation of Local Approximation Models in the Time Series Classification Problem. BS Thesis 2019 MIPT.
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|
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|
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|
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:%D0%93%D0%B0%D1%81%D0%B0%D0%BD%D0%BE%D0%B2_%D0%AD%D0%BB%D1%8C%D0%BD%D1%83%D1%80 Hasanov Elnur Eldar ogly]
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| [http://www.machinelearning.ru/wiki/images/1/10/Gasanov2018BachelorDiploma.pdf Feature Space Generation in Problems of Corticogram Analysis. BS Thesis 2018 MIPT.]
 +
|
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|
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| [http://www.machinelearning.ru/wiki/images/c/cd/Gasanov2018Presentation_.pdf Slides]
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|
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|-
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| Ivanychev Sergey
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| [http://www.machinelearning.ru/wiki/images/3/37/Ivanychev18BachelorThesis_%28merged%29.pdf Choice of Optimal Local Approximation Models for Time Series Classification. BS Thesis 2018 MIPT.]
 +
|
 +
|
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| [http://www.machinelearning.ru/wiki/images/e/e7/Ivanychev2018Slides.pdf Slides]
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|
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|-
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| [https://github.com/karina-usmanova Usmanova Karina]
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| [http://www.machinelearning.ru/wiki/images/1/11/Usmanova2018CCM_PLS.pdf Models for detecting dependencies in time series in the problems of constructing predictive models. BS Thesis 2018 MIPT.]
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|
 +
|
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| [http://www.machinelearning.ru/wiki/images/c/ce/Usmanova2018Presentation.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:IShibaev Shibaev Innokenty]
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| [http://www.machinelearning.ru/wiki/images/9/90/Shibaev2018BThesis.pdf Prediction of Optimal Superpositions in Regression Problems. BS Thesis 2018 MIPT.]
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|
 +
|
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| [http://www.machinelearning.ru/wiki/images/c/c1/Shibaev2018Presentation.pdf Slides]
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|
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|-
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| [https://www.mathnet.ru/rus/person143915 Smerdov Anton]
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| [http://www.machinelearning.ru/wiki/images/c/c5/Smerdov18BachelorThesis.pdf Choice of the optimal recurrent network model in paraphrase search problems. BS Thesis 2018 MIPT.]
 +
| [http://strijov.com/papers/SmerdovBakhteev2017Paraphrase.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/4/41/Smerdov2018Presentation.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Mvladimirova Vladimirova Maria]
 +
| [https://svn.code.sf.net/p/mlalgorithms/code/Group374/Vladimirova2016BaggingNN/doc/Vladimirova2016BaggingNN.pdf Bagging of neural networks in multitask classification of biological acivity for nuclear receptors. BS Thesis 2017 MIPT.]
 +
| [http://strijov.com/papers/Zadayanchuk2015OptimalNN4.pdf Paper]
 +
|
 +
| [https://svn.code.sf.net/p/mlalgorithms/code/Group374/Vladimirova2016BaggingNN/doc/Vladimirova2016Presentation.pdf Slides]
 +
| [https://youtu.be/pPumIZ81KU4 Video]
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|-
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| [https://zadaianchuk.github.io/ Zadayanchuk Andrey]
 +
| [http://www.machinelearning.ru/wiki/images/d/d0/Zadayanchuk2016Diploma2.pdf Choosing the optimal time series classification model. BS Thesis 2016 MIPT.]
 +
| [http://strijov.com/papers/Zadayanchuk2015OptimalNN4.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/0/0c/Zadayanchuk2016Presentation.pdf Slides]
 +
|
 +
|-
 +
| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Zlatovalex Zlatov Alexander]
 +
| [http://www.machinelearning.ru/wiki/images/4/4c/Zlatov2016BSThesis.pdf Building a hierarchical model of a large conference. BS Thesis 2016 MIPT.]
 +
|
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/7/7e/ZlatovPresentation2016.pdf Slides]
 +
|
 +
|-
 +
| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Isachenkoroma Isachenko Roman]
 +
| [http://www.machinelearning.ru/wiki/images/8/8e/Isachenko2016DiplomaPresentation.pdf Metric learning in the problem of multiclass classification of time series. BS Thesis 2016 MIPT.]
 +
| [https://mi.mathnet.ru/ia415 Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/8/8e/Isachenko2016DiplomaPresentation.pdf Slides]
 +
|
 +
|-
 +
| [https://github.com/neychev Neichev Radoslav]
 +
| [http://www.machinelearning.ru/wiki/images/0/03/Neychev2016BSThesis.pdf Predictive multi-models of multi-scale time series of the Internet of Things. BS Thesis 2016 MIPT.]
 +
| [http://strijov.com/papers/Neychev2015FeatureSelection.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/8/8e/Isachenko2016DiplomaPresentation.pdf Slides]
 +
|
 +
|-
 +
| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Artembochkarev Bochkarev Artem]
 +
| [http://www.machinelearning.ru/wiki/images/9/9b/Bochkarev2016Article.pdf Generation of expert-interpretable models of petrophysical measurements in laboratory core studies. BS Thesis 2016 MIPT.]
 +
| [http://strijov.com/papers/Bochkarev2017PermeabilityEstimation.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/3/3e/BochkarevPresentation.pdf Slides]
 +
|
 +
|-
 +
| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Goncharovalex Goncharov Alexey]
 +
| [http://www.machinelearning.ru/wiki/images/4/4e/Goncharov2016diplom.pdf Discrete and continuous time series alignment methods. BS Thesis 2016 MIPT.]
 +
| [http://strijov.com/papers/Goncharov2015authumn.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/c/c8/GoncharovPresentation.pdf Slides]
 +
|
 +
|-
 +
| [https://scholar.google.com/citations?user=5ILnTRsAAAAJ&hl=ru&oi=ao Dvinskikh Darina]
 +
| [http://www.machinelearning.ru/wiki/images/8/8e/ArticleDvinskikh2016.pdf Choice of Superposition of Models in Predicting Rail Freight Transportation. BS Thesis 2016 MIPT.]
 +
|
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/8/82/2016PresentationDvinskikh.pdf Slides]
 +
|
 +
|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Mpopova Popova Maria]
 +
| [http://www.machinelearning.ru/wiki/images/7/7e/Popova2015Diploma.pdf Choosing the Optimal Deep Learning Network in Time Series Classification Problems. BS Thesis 2015 MIPT.]
 +
| [http://strijov.com/papers/Popova2014OptimalModelSelection.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/8/87/Popova2015Presenation.pdf Slides]
 +
|
 +
|-
 +
| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:%D0%9A%D1%83%D0%BB%D1%83%D0%BD%D1%87%D0%B0%D0%BA%D0%BE%D0%B2 Kulunchakov Andrey]
 +
| [http://www.machinelearning.ru/wiki/images/9/9e/Kulunchakov2015RankingBySimpleFun.pdf Generation of structurally simple ranking functions for information retrieval problems. BS Thesis 2015 MIPT.]
 +
| [http://strijov.com/papers/Kulunchakov2014RankingBySimpleFun.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/f/f4/PresentationKulunchakov2015Ranking.pdf Slides]
 +
|
 +
|-
 +
| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Rgazizullina Gazizullina Rimma]
 +
| [http://www.machinelearning.ru/wiki/images/2/21/Gazizullina2015.pdf Building Compositions of Prognostic Models and Evaluating the Quality of Time Series Forecast. BS Thesis 2015 MIPT.]
 +
| [http://strijov.com/papers/Gazizullina2014RailwayForecasting.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/2/22/Gazizullina2015Presentation.pdf Slides]
 +
|
 +
|-
 +
| [https://scholar.google.com/citations?user=M95gd1QAAAAJ&hl=en Karasikov Mikhail]
 +
| [http://www.machinelearning.ru/wiki/images/4/42/Karasikov2015BSThesis.pdf Classification of time series in the space of parameters of generating models. BS Thesis 2015 MIPT.]
 +
| [http://strijov.com/papers/Karasikov2016TSC.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/0/02/Karasikov2015BSThesisPresentation.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Perekrestenko Perekrestenko Dmitry]
 +
| [http://www.machinelearning.ru/wiki/images/a/ad/Perekrestenko2014StructureAnalysis.pdf Analysis of the statistical and structural complexity of the superposition of neural networks. BS Thesis 2014 MIPT.]
 +
|
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/b/b3/Perekrestenko2014StructureAnalysis_Presentation.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Andmityashov Mityashov Andrey]
 +
| [http://www.machinelearning.ru/wiki/images/2/2e/Mityashov2014BSThesis.pdf Domain Expert Constraints for the Elastic-Net Penalty Function in the Case of Logistic Regression. BS Thesis 2014 MIPT.]
 +
|
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/e/eb/Mityashov2014presentation.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Katrutsa Katrutsa Alexander]
 +
| [http://www.machinelearning.ru/wiki/images/4/4a/Katrutsa2014BSThesis.pdf Multicollinearity Analysis in Feature Selection. BS Thesis 2014 MIPT.]
 +
| [http://strijov.com/papers/Katrutsa2014TestGeneration.pdf Paper]
 +
|
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| [http://www.machinelearning.ru/wiki/images/4/47/Katrutsa2014BSPresenation.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Medvmasha Stenina (Medvednikova) Maria]
 +
| [http://www.machinelearning.ru/wiki/images/f/f7/Medvednikova2013Diploma.pdf Construction of integral indicators based on partially ordered sets of expert assessments. BS Thesis 2013 MIPT.]
 +
| [http://strijov.com/papers/Medvednikova2012CoIndicator.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/7/7e/Medvednikova2013Presentation.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Arsenty Kuzmin Arsenty]
 +
| [http://www.machinelearning.ru/wiki/images/2/23/Kuzmin2013Diploma.pdf Checking the adequacy of the topic models of a collection of documents. BS Thesis 2013 MIPT.]
 +
| [http://strijov.com/papers/Kuzmin2013ThematicClustering.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/f/fd/Kuzmin2013Presentation.pdf Slides]
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|
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|-
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| [http://www.machinelearning.ru/wiki/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Varf_Ann Varfolomeeva Anna]
 +
| [http://www.machinelearning.ru/wiki/images/f/f2/Varfolomeeva2013Diploma.pdf Structural learning methods for building predictive models. BS Thesis 2013 MIPT.]
 +
| [http://strijov.com/papers/Varfolomeeva2013StrcLearning.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/a/a3/Varfolomeeva2013Presentation.pdf Slides]
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|
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|-
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| [https://www.linkedin.com/in/alexander-aduenko-128b7565/ Aduenko Alexander]
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| [http://www.machinelearning.ru/wiki/images/b/b3/Thesis.pdf Joint selection of objects and features when building models in bank scoring problems. BS Thesis 2013 MIPT.]
 +
| [http://strijov.com/papers/Kuzmin2013ThematicClustering.pdf Paper]
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|
 +
| [http://www.machinelearning.ru/wiki/images/a/a3/Varfolomeeva2013Presentation.pdf Slides]
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|
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|-
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| [https://www.linkedin.com/in/mikhail-kuznetsov-887568104/ Kuznetsov Mikhail]
 +
| [http://www.machinelearning.ru/wiki/images/9/9c/Kuznetsov2011B-thesis.pdf Refining Expert Estimates with Measured Data. BS Thesis 2013 MIPT.]
 +
| [http://strijov.com/papers/Medvednikova2012RankScales.pdf Paper]
 +
|
 +
| [http://www.machinelearning.ru/wiki/images/a/a3/Varfolomeeva2013Presentation.pdf Slides]
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|}
 
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Revision as of 22:54, 21 November 2022

PhD

Link to the person Thesis Paper GitHub Code Abstract Slides Video
Andrey Grabovoy A prior distribution of parameters in problems of choosing deep learning models. PhD Thesis 2022 MIPT. Paper PhD Thesis GitHub Abstract Slides Video
Roman Isachenko Dimensionality reduction for time series decoding and forecasting problems. PhD Thesis 2021 MIPT. Paper PhD Thesis GitHub Abstract Slides Video
Oleg Bakhteev Deep learning model selection of suboptimal complexity. PhD Thesis 2020 MIPT. Paper PhD Thesis GitHub Abstract Slides Video
Anastasiya Motrenko Model selection for multicorrelated time series. PhD Thesis 2019 MIPT. Paper GitHub Abstract Slides Video
Alexander Aduenko Model selection in classification problems. PhD Thesis 2017 MIPT. Abstract Slides Video
Arsenty Kuzmin Hierarchical classication of document collection. PhD Thesis 2017 MIPT. Paper Abstract Slides Video
Mikhail Kuznetsov Construction preference learning models using ordinal-scaled expert estimations. PhD Thesis 2016 MIPT. Abstract Slides Video
Roman Sologub Algorithms of inductive model generation and transformation for non-linear regression problems. PhD Thesis 2013 MIPT. Paper Abstract

Master of Sciences

Link to the person Thesis Paper GitHub Code Slides Video
Natalia Varenik Building a connectivity map of functional groups in the problem of decoding brain signals. MS Thesis 2022 MIPT. Paper GitHub Code Slides Video
Severilov Pavel Choosing the optimal model in the problem of modeling dynamics of a physical system by neural networks. MS Thesis 2022 MIPT. Paper1,Paper2 GitHub Code Slides Video
Sviatoslav Panchenko Bilinearity of geometric product for the task of signal decoding. MS Thesis 2022 MIPT. GitHub Code Slides Video
Tamaz Gadaev Multilinear model choice in forecasting problem. MS Thesis 2021 MIPT. Slides Video
Andrey Grabovoy A prior distribution of parameters in problems of choosing deep learning models. MS Thesis 2021 MIPT. Paper GitHub Code Slides Video
Egor Kirillov Phase reconstruction of microscopic images by reciprocal lattice. MS Thesis 2021 MIPT. GDrive Code Slides Video
Alina Samokhina Continuous time representation for signal decoding. MS Thesis 2021 MIPT. Paper GitHub Code Slides Video
Gleb Morgachev Construction of a metric space of multi-index time series with an effectively computable metric function. MS Thesis 2021 MIPT. GitHub Code Slides Video
Grigory Malinovsky Distributed optimization methods and federated learning. MS Thesis 2021 MIPT. GitHub Code Slides Video
Filipp Nikitin Construction of Feature Spaces in Problems of Predicting Chemical Reactions. MS Thesis 2020 MIPT. GitHub Code Slides
Sayranov Danil Choice of an Ensemble of Local Models in Problems of Signal Analysis. MS Thesis 2020 MIPT. GitHub Code Slides
Uvarov Nikita Selection of model superpositions in time series forecasting. MS Thesis 2020 MIPT. Slides
Usmanova Karina Approximation of quasiperiodic signal phase trajectory using directional regression. MS Thesis 2020 MIPT. Paper GitHub Code Slides
Vladimirova Maria Bayesian Analysis of Parameter Distribution Functions of Deep Learning Networks. MS Thesis 2020 MIPT. Slides
Alex Goncharov Building Interpretable Deep Learning Models in the Social Ranking Problem. MS Thesis 2018 MIPT. Slides
Alex Goncharov Building Interpretable Deep Learning Models in the Social Ranking Problem. MS Thesis 2018 MIPT. Slides
Roman Isachenko Space Dimension Reduction in Time Series Analysis Problems. MS Thesis 2018 MIPT. Paper, Paper GitHub Code Slides
Radoslav Neichev Informative a priori assumptions in the privileged learning problem. MS Thesis 2018 MIPT. Slides
Artem Bochkarev Structured learning for model generation. MS Thesis 2018 MIPT. Paper1, Paper2 GitHub Code Slides
Karasikov Mikhail Building a ranking function to predict the tertiary structure of a protein. MS Thesis 2017 MIPT. Paper GitHub Code Slides Video
Maria Popova Generating and separating models for the generation of new drugs. MS Thesis 2017 MIPT. Papers: 1, 2, 3, 4 Slides
Andrey Kulunchakov Generation of structurally simple ranking functions for information retrieval problems. MS Thesis 2017 MIPT. Paper GitHub Code Slides Video
Andrey Mityashov Decomposition of a mixture of distributions based on empirical data in text clustering problems. MS Thesis 2016 MIPT. GitHub Code Slides
Alexander Katrutsa Discrete Quadratic Programming with Feature Selection Relaxation. MS Thesis 2016 MIPT. Papers: 1, 2 GitHub Code Slides
Oleg Bakhteev Sequential generation of deep learning models of optimal complexity. MS Thesis 2016 MIPT. Paper Slides
Maria Stenina (Medvednikova) Consistency of Forecasts in Problems of Forecasting Hierarchical Time Series. MS Thesis 2015 MIPT. Paper Slides
Arsenty Kuzmin Construction of hierarchical thematic models of large conferences. MS Thesis 2015 MIPT. Paper Slides
Matrosov Mikhail Short-term prediction of musical works using chord sequences. MS Thesis 2015 MIPT. Slides
Rita Kuznetsova Classification of time series using invariant transformations. MS Thesis 2015 MIPT. Paper
Zhuikov Vladimir Recommendation system for selecting clothes based on metric analysis of advertising descriptions. MS Thesis 2015 MIPT. Slides
Varfolomeeva Anna Structural learning methods in the generalization problem structures of ranking models. MS Thesis 2015 MIPT. Paper Slides
Alexander Aduenko Topological analysis of the space of parameters in problems of choosing multimodels. MS Thesis 2015 MIPT. Papers: 1, 2, 3, 4, 5, 6 Slides
Georgy Rudoy Algorithms of inductive generation and simplification and criteria for choosing the optimal essentially non-linear regression model for the approximation of measured data. MS Thesis 2014 MIPT. Paper Slides
Fadeev Ilya Choice of hierarchical models in autoregressive forecasting. MS Thesis 2013 MIPT. Slides
Kononenko Daniil Estimation of parameters of invariant transformations in problems of time series forecasting. MS Thesis 2013 MIPT. Slides
Motrenko Anastasia Estimation of the sample size in forecasting tasks. MS Thesis 2013 MIPT. Slides
Kuznetsov Mikhail Construction of integral indicators in problems with ordinal features. MS Thesis 2013 MIPT. Slides

BS

BS Thesises

Link to the person Thesis Paper GitHub Code Slides Video
Gorchakov Vyacheslav Sampling by importance in the problem of DC power flow modeling. BS Thesis 2022 MIPT. GitHub Code Slides Video
Gorpinich Maria Optimization of metaparameters in the problem of knowledge distillation. BS Thesis 2022 MIPT. GitHub Code Slides Video
Pilkevich Anton Optimization of the criterion given by the neural network model in the problem of text detoxification. BS Thesis 2022 MIPT. GitHub Code Slides Video
Kurdyukova Antonina Reducing the dimension of the phase space in problems of canonical correlation analysis. BS Thesis 2022 MIPT. GitHub Code Slides Video
Khristolyubov Maxim Model parameter space for phase trajectory approximation. BS Thesis 2022 MIPT. GitHub Code Slides Video
Islamov Rustem Second order distributed methods with fast convergence rate and compression. BS Thesis 2021 MIPT. GitHub Code Slides Video
Saveliev Nikolay Structured pricing for interchangeable goods. BS Thesis 2021 MIPT. GitHub Code Slides Video
Filatov Andrey Rapid optimization of multitasking models. BS Thesis 2021 MIPT. GitHub Code Slides Video
Filippova Anastasia Methods for analyzing human movements based on the readings of signals from sensors. BS Thesis 2021 MIPT. GitHub Code Slides Video
Khar Aleksandra Dynamic pricing with Thomson sampling. BS Thesis 2021 MIPT. GitHub Code Slides Video
Shokorov Vyacheslav Estimation of parameters of a probabilistic model in the problem of domain adaptation. BS Thesis 2021 MIPT. GitHub Code Slides Video
Varenyk Natalia Neural network density approximation for constructing a probability-metric space. BS Thesis 2020 MIPT. GitHub Code Slides
Severilov Pavel Assessing the Quality of Protein Structure Prediction Using Graph Convolutional Neural Networks. BS Thesis 2020 MIPT. GitHub Code Slides
Panchenko Svyatoslav Construction of a Probabilistic Metric Space for Modeling Orientation-Dependent States. BS Thesis 2020 MIPT. GitHub Code Slides
Markin Valery Local models in the analysis of brain signals. BS Thesis 2020 MIPT. GitHub Code Slides
Astakhov Anton Adaptive credit scoring. BS Thesis 2020 MIPT.
Gadaev Tamaz Estimating the optimal sample size. BS Thesis 2019 MIPT. Slides
Grabovoi Andrey Analysis of properties of local models in time series clustering problems. BS Thesis 2019 MIPT. Slides
Terekhov Oleg Optimal Generation of Local Approximation Models in the Time Series Classification Problem. BS Thesis 2019 MIPT.
Hasanov Elnur Eldar ogly Feature Space Generation in Problems of Corticogram Analysis. BS Thesis 2018 MIPT. Slides
Ivanychev Sergey Choice of Optimal Local Approximation Models for Time Series Classification. BS Thesis 2018 MIPT. Slides
Usmanova Karina Models for detecting dependencies in time series in the problems of constructing predictive models. BS Thesis 2018 MIPT. Slides
Shibaev Innokenty Prediction of Optimal Superpositions in Regression Problems. BS Thesis 2018 MIPT. Slides
Smerdov Anton Choice of the optimal recurrent network model in paraphrase search problems. BS Thesis 2018 MIPT. Paper Slides
Vladimirova Maria Bagging of neural networks in multitask classification of biological acivity for nuclear receptors. BS Thesis 2017 MIPT. Paper Slides Video
Zadayanchuk Andrey Choosing the optimal time series classification model. BS Thesis 2016 MIPT. Paper Slides
Zlatov Alexander Building a hierarchical model of a large conference. BS Thesis 2016 MIPT. Slides
Isachenko Roman Metric learning in the problem of multiclass classification of time series. BS Thesis 2016 MIPT. Paper Slides
Neichev Radoslav Predictive multi-models of multi-scale time series of the Internet of Things. BS Thesis 2016 MIPT. Paper Slides
Bochkarev Artem Generation of expert-interpretable models of petrophysical measurements in laboratory core studies. BS Thesis 2016 MIPT. Paper Slides
Goncharov Alexey Discrete and continuous time series alignment methods. BS Thesis 2016 MIPT. Paper Slides
Dvinskikh Darina Choice of Superposition of Models in Predicting Rail Freight Transportation. BS Thesis 2016 MIPT. Slides
Popova Maria Choosing the Optimal Deep Learning Network in Time Series Classification Problems. BS Thesis 2015 MIPT. Paper Slides
Kulunchakov Andrey Generation of structurally simple ranking functions for information retrieval problems. BS Thesis 2015 MIPT. Paper Slides
Gazizullina Rimma Building Compositions of Prognostic Models and Evaluating the Quality of Time Series Forecast. BS Thesis 2015 MIPT. Paper Slides
Karasikov Mikhail Classification of time series in the space of parameters of generating models. BS Thesis 2015 MIPT. Paper Slides
Perekrestenko Dmitry Analysis of the statistical and structural complexity of the superposition of neural networks. BS Thesis 2014 MIPT. Slides
Mityashov Andrey Domain Expert Constraints for the Elastic-Net Penalty Function in the Case of Logistic Regression. BS Thesis 2014 MIPT. Slides
Katrutsa Alexander Multicollinearity Analysis in Feature Selection. BS Thesis 2014 MIPT. Paper Slides
Stenina (Medvednikova) Maria Construction of integral indicators based on partially ordered sets of expert assessments. BS Thesis 2013 MIPT. Paper Slides
Kuzmin Arsenty Checking the adequacy of the topic models of a collection of documents. BS Thesis 2013 MIPT. Paper Slides
Varfolomeeva Anna Structural learning methods for building predictive models. BS Thesis 2013 MIPT. Paper Slides
Aduenko Alexander Joint selection of objects and features when building models in bank scoring problems. BS Thesis 2013 MIPT. Paper Slides
Kuznetsov Mikhail Refining Expert Estimates with Measured Data. BS Thesis 2013 MIPT. Paper Slides