Seminars schedule » History » Version 241
Version 240 (Vladislav Panferov, 2020-03-19 09:11) → Version 241/552 (Vladislav Panferov, 2020-03-19 09:12)
h1. Seminar "Big Data Analytics"
(sorted by later first)
h2. Schedule 2020, spring
Thursday, 16:20, -cab 0207 NSU new building, '-1' elevator floor-, online: https://zoom.us/j/910812617
h3. May, 2020
|7, #|*Ravi Kumar* Master
*Owen Siyoto* Master
*Oladotun Aluko* Coursework
*Alexander Rusnak* Coursework
~~ Extra timeslot 25 min ~~|
|14, #|*Kaivalya Pandey* Coursework
*Andrey Yashkin* Coursework
*Rohan Rathore* Coursework
*Sergey Garmaev* Coursework
*Dinesh Reddy* Coursework|
|21, #|*Alexey Korolev* Coursework
*Mohamed Nasser* End-to-End 3D Face Reconstruction with Deep Neural Networks
*Vlaidslav Panferov* You Only Look Once: Unified, Real-Time Object Detection
*Daria Pirozhkova* Coursework
*Rishabh Tiwari* Coursework|
|28, #|*Alix Bernard* Coursework
*Mukul Vishwas* Coursework
*Watana Pongsapas* Coursework
*Raphael Blankson* Coursework
*Abhishek Saxena* Coursework|
h3. April, 2020
|2, #|*Thibault Kollen* Flipout: Efficient pseudo-independent weight perturbations on mini-batches
*Richard Fambon* Tensor Networks
*Alexander Rusnak* GPT-2
*Dinesh Reddy* Brain Tumor Sementation Using Deep Learning by Type Specific Sorting of Images|
|9, #|*Rohan Rathore* Layer-wise relevance propagation: an overview
*Antoine Logeais* Weight uncertainty in neural networks
*Owen Siyoto* Learning to interpret satellite images in global scale using wikipedia
*Abhishek Saxena* Blockchain for AI: Review and open research challenges|
|16, #|*Alexey Korolev* Bert-dst: Scalable end-to-end dialogue state tracking with bidirectional encoder representations from transformer BERT-DST
*Jetina Tsvaki* Understanding learning mixup training methods
*Jetina Tsvaki* Master
*Alexander Donets* Implicit weight uncertainty in neural networks|
|23, #|*Mukul Vishwas*
*Rishabh Tiwari*
*Geoffroy de Felcourt* Jasper: An end-to-end convolutional neural acoustic model
*Vladislav Panferov* Coursework|
|30, #|*Raphael Blankson* Towards quantum machine learning with tensor networks
*Vassily Baranov* Coursework
*Kalmutskiy Kirill* Coursework
*Mikhail Liz* Coursework|
h3. March, 2020
|5, #|-*Elena Voskoboy* Hybrid VAE for NLG-
*Mikhail Liz* Deep learning for symbolic mathematics
*Vassily Baranov* Distilling knowledge
-*Andrey Yashkin*-
*Sergey Garmaev* Reservoir Computing|
|12, #|*Oladotun Aluko* NASNet and AutoML
*Watana Pongsapas* Deep learning: A Generic approach for extreme condition traffic
*Kirill Kalmutsky* Variational Quantum Circuits and Deep Reinforcement Learning
*Andrey Yashkin* Quantum circuit learning|
|19, #|*-Geoffroy de Felcourt-*
*Elena Voskoboy* Hybrid VAE for NLG
~~25 min slot~~|
|26, #|*Omid Razizadeh* Reynolds Averaged Turbulence Modeling using Deep Neural Networks with Embedded Invariance.
*Omid Razizadeh* Master thesis
*Kaivalya Pandey* Deep Reinforcement Learning
*Alix Bernard* Deep Learning based Approach to Reduced Order Modelling.|
h3. February, 2020
|6, #3133|Planning the semester|
|13, #3133|Planning the semester|
|20, #|*Nikita Nikolaev* Zero and Few shot learning
~~25 min slot~~
~~25 min slot~~
~~25 min slot~~|
|27, #|*Daria Pirozhkova* ERNIE
-*Sergey Garmaev* Reservoir Computing-
~~25 min slot~~
~~25 min slot~~|
h2. Schedule 2019, fall
Thursday, 18:10, cab 5239 NSU new building
h3. December, 2019
|5, #2819|*Rohan Rahore* “Why Should I Trust You?” Explaining the Predictions of Any Classifier
*Jetina Tsvaki* Thesis
*Omid Razizadeh* Thesis
-*Mihail Rodin* Style transfer-
-*Mohammed Sweilam*-|
|12, #2860|*Ravi Kumar* Thesis
*Raphael Blankson*
*Nikita Nikolaev*
*Abhishek Saxena*
*Rishabh Tiwarri*|
|19, #2946|Conducted by *Kaivalya Anand Pandey*
*Jetina Tsvaki* Paper
-*Elizaveta Tagirova* Paper with code: Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme-
-*Elizaveta Tagirova* Master thesis-
-*Vladislav Panferov*-
*Mikhail Liz* CosFace
*Alexander Rusnak*|
|26, #|*Mihail Rodin* Style transfer
*Mohammed Sweilam*
-*Alexander Rusnak*-
*Owen Siyoto* Master thesis
*Owen Siyoto* Efficient Net
Rescheduled:
* *Elizaveta Tagirova* Paper with code: Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme-
* *Elizaveta Tagirova* Master thesis
* *Vladislav Panferov*|
h3. November, 2019
|7, #2660|*Sergey Garmaev*
*Dinesh Reddy*
*Daria Pirozhkova*
-*Oladotun Aluko*-
*Ravi Kumar* Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge|
|14, #2720|*Roman Kozinets*, Weight Agnostic Neural Networks
*Roman Kozinets*, Master thesis
*Elena Voskoboy* A neural algorithm of artistic style
*Alix Bernard*
-*Oladotun Aluko*-|
|21, #2726|*Kaivalya Pandey*
*Alexander Donets*
-*Rishabh Tiwari*-
*Andrey Yashkin*
*Oladotun Aluko*|
|28, #2766|*Alexey Korolev*
*Kirill Kalmutskiy*
*Mukul Vishwas*
*Antoine Kristanek*|
h3. October, 2019
|3, #2447|~~25 min slot~~
~~25 min slot~~
~~25 min slot~~
~~25 min slot~~|
|10, #2456|Scientific Advisor: prof. Yakovenko S.N.
Scientific Advisor: Postovalov S.N.
Scientific Advisor: Bondarenko I., Batura T.V.
~~25 min slot~~|
|17, #2473|*Munyaradzi Njera* Paper
~~25 min slot~~
~~25 min slot~~
~~25 min slot~~|
|24, #|Scientific Advisor: prof. Palchunov D.E.
*Munyaradzi Njera* Thesis
*Vassily Baranov*|
|31, #2638|*Omid Razizadeh*, Data-driven predictive using field inversion
~~25 min slot~~
*Watana Pongsapas*
-*Ravi Kumar* Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge-|
h3. September, 2019
1. Introduction
2. Scientific advisors presentations: https://trello.com/b/859tElZm/scientfic-advisors-19-21
Presented:
# Taylakov D. (Digital Field Technology)
# Kolonin A.
# Okunev A.
# Usov E. (NNTC.pro)
To be presented:
# ... see https://trello.com/b/859tElZm/scientfic-advisors-19-21
3. Planning the semester #2435 (20.09.2019, 26.09.2019)
h2. Schedule 2019, spring
Thursday, 16:20, cab 5212 NSU new building
h3. May, 2019
|23, #|*Munjaradzi Njera* Master thesis
*Andrey Marinov*: Selsam, D., Lamm, M., Bünz, B., Liang, P., de Moura, L., & Dill, D. L. (2018). Learning a SAT solver from single-bit supervision. arXiv preprint arXiv:1802.03685.
*Ravi Kumar* Course work
-*Klim Markelov* Master thesis-
*Roman Kozinets* Master thesis (imaging)
*Anton Dorozhko* Reinforcement Learning for long-term reward optimization in recommender systems (Master thesis)
*Omid Razizadeh* Coursework: Detecting Alzheimer's disease using different machine learning approaches
*Artem Sergeev* Paper: Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
*Artem Sergeev* Master Thesis|
|16, #|*Jetina Tsvaki* Master thesis
*Anik Chakrabarthy* Master thesis
*Dylan Bersans* Outside the closed world: On Using ML for Network Intrusion Detection
*Andrey Marinov* Master thesis: Research on an efficiency of the bilingual model for the silent speech recognition.
*Ivan Rogalsky* Open System Categorical Quantum Semantics in NLP (master thesis, review)
*Jetina Tsvaki* Predicting Oil Movement in a development System Using Deep Latent Dynamic Models|
h3. April, 2019
|25, #|Open Seminar jointly with Open Data Science Siberia
*Andrey Zubkov* Master thesis: Separability of silent speech phonemes for English language. Speaker and session independence.
*Evgeniy Kurochkin* Master thesis
*Alexandra Luchkina* Master thesis
*Leyuan Sheng* Master thesis: Text to speech synthesis using Generative Adversarial networks for speech enhancement.
*Malysheva Anastasia* Master thesis: The development and research of the prediction methods for time series obtained by the combination of different patterns.
*Olga Yakovenko* Course work
*Juan Pinzon* Master thesis: Sentiment Analysis in Social Media Texts (Spanish language)
Video: https://www.youtube.com/watch?v=T7Oa4hBR3g4|
|18, #|-*Ivan Rogalsky* Open System Categorical Quantum Semantics in NLP (master thesis, review)
*Ravi Kumar* Master thesis
*Jetina Tsvaki* Predicting Oil Movement in a development System Using Deep Latent Dynamic Models
*Dylan Bersans* Outside the closed world: On Using ML for Network Intrusion Detection
*Olga Yakovenko* Course work
*Juan Pinzon* Master thesis- replaced by
*Natalia Loukashevich* Modern trends on NLP (Tochka Kipenia, Academpark, 16:00, 18.04.2019)|
|11, #2164|*Leyuan Sheng* Tacotron 2
-*Klim Markelov* Master thesis-
-*Juan Pinzon* Master thesis-
*Ravi Kumar* State of the art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's
*Malysheva Anastasia* Attention is all you need https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf |
|4, #2146|*Roman Kozinets* CNN for speech command recognition. Review
-*Ivan Rogalsky* Quantum-Theoretic Approach in Dicstr. Semantics-
*Akilesh Sivaswamy* Master thesis: Data classification using superposition and HMM
*Madina Tussupova* Master Thesis: Determination of grammatical categories using machine learning algorithms
*Madina Tussupova* 5.3. Wieting J., Kiela D. No Training Required: Exploring Random Encoders for Sentence Classification //arXiv preprint arXiv:1901.10444. – 2019. URL (20 min)|
h3. March, 2019
|28, #2105|-*Ravi Kumar* State of the art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's-
*Munjaradzi Njera* Human-level control through deep reinforcement learning
*Thomas Vialars* Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures
*Petr Gusev* MXNet
*Petr Gusev* Master Thesis|
|21, #2086|*Juan Pinzon* Universal Language Model Fine-tuning for Text Classification
*Elizaveta Tagirova* Master Thesis
-*Petr Gusev* MXNet-
-*Seth Gyamerah* Understanding consumer behavior-|
|14, #2076|*Omid Razizadeh* Pixel Recurrent Neural Networks.
*Klim Markelov* A Style-Based Generator Architecture for Generative Adversarial Networks.
*Anik Chakrabarthy* DisCoCat toy model
*Akilesh Sivaswamy* CosFace|
|7, #2071|-*Andrey Zubkov* Performance of Word Embeddings- (previously reported)
*Alexandra Luchkina* Triplet loss
*Evgeniy Kurochkin* Self-Taught Convolutional Neural Networks for Short Text Clustering
*Olga Yakovenko* BigARTM|
h3. February, 2019
|28, #2058|*Elizaveta Tagirova* Universal Sentence Encoder
*Andrey Zubkov* Neurohackathon on autism disorder: prized solution
~~time slot (25 min)~~
~~time slot (25 min)~~|
|21, #2054|*Vyacheslav Mukhortov* Project Management Practice: teambiudling and project tasks.
*Evgeniy Pavlovskiy* Planning of academic seminar for Spring, 2019|
h2. Schedule 2018, fall
Thursday, 18:10, cab 5273 NSU new building
h3. December, 2018
|6, #2034|*Leyuan Sheng*, CycleGAN
*Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf
*Luchkina Alexandra*, Sobolev Training
*Fishman Daniil*, Prediction of enhancer-promoter interactions via natural language processing|
|13, #|*Anton Kolonin*. Topics for master work.
*Evgeniy Averyanov*, Schmidt, Mark. Minimizing finite sums with the stochastic average gradient / M. Schmidt, N. Le Roux, F. Bach // Mathematical Programming. — 2017. — Vol. 162(1). — P. 83–112. — URL: https://link.springer.com/article/10.1007/s10107-016-1030-6
*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf
*Lee Wonjai*. Bayesian CDF (continue with example)
|
|20, #|-*Artem Sergeev*. ArcFace-
*Gyamerah Seth*, Fuzzy time series on financial forecasting
-*Mulley Loic*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf-
*Kurochkin Evgeniy*, DenseNet
|
|27, #|*Julien Machet*, Machine learning top down and bottom up.
*Ivan Rogalsky*
*Arsentiy Melnikov* Teacher student curriculum learning https://arxiv.org/pdf/1707.00183.pdf
*Loic Mulley*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf
*Artem Sergeev*, ArcFace|
h3. November, 2018
|1, #|*Petr Gusev*. ResNet, ResNeXt K. He, X. Zhang, S. Ren, and J. Sun. Deep Residual Learning for Image Recognition. In CVPR, 2016
*Anastasia Malysheva*, Variational Autoencoders
*Anik Chakrabarthy*. Quantum Semantics
~~25 min slot~~|
|8, #|*Akilesh Sivawamy*, Mobile NN.
*Lee Wonjai*. Bayesian CDF
-*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf- (moved to December)
*Olga Yakovenko*, RNN for Speech Recognition|
|15, #|*Ravi Kumar*, Deep Learning in Mobile and Wireless Networks: a Survey
*Munjaradzi Njera*, Attentioned based LSTM
*Juan Fernando Pinzon Correa*, Rapids AI
*Urynbassarov Mukhtar*, GAN|
|22, #|lost|
|29, #|*Roman Kozinets*, Siamese NN
*Omid Razizadeh*, tSNE
*Jetina Tsvaki*, Natural language based financial forecasting: a survey
*Owen Siyoto*, Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network|
h3. October, 2018
|18, #2028|Planning the semester|
|25, #|*Klim Markelov*, Capsule NN
*Andrey Zubkov*, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983
*Vitaly Poteshkin*, MixUp
Planning the semester|
h3. September, 2018
1. 2nd year students coursework pre-defence: (1) #2008, (2) 14.09.2018.
2. Scientific advisors presentations: https://trello.com/b/ZlMTMsS8/bdaai-scientific-topics
# Taylakov D.
# Savostyanov A.N.
# Duchkov A.
# Golovin S.
# Pavlovskiy E.
# Kohanovskiy A.
# Sviridenko D.
# Redyuk A.
# Vityaev E.
h2. [[Archive]]
(sorted by later first)
h2. Schedule 2020, spring
Thursday, 16:20, -cab 0207 NSU new building, '-1' elevator floor-, online: https://zoom.us/j/910812617
h3. May, 2020
|7, #|*Ravi Kumar* Master
*Owen Siyoto* Master
*Oladotun Aluko* Coursework
*Alexander Rusnak* Coursework
~~ Extra timeslot 25 min ~~|
|14, #|*Kaivalya Pandey* Coursework
*Andrey Yashkin* Coursework
*Rohan Rathore* Coursework
*Sergey Garmaev* Coursework
*Dinesh Reddy* Coursework|
|21, #|*Alexey Korolev* Coursework
*Mohamed Nasser* End-to-End 3D Face Reconstruction with Deep Neural Networks
*Vlaidslav Panferov* You Only Look Once: Unified, Real-Time Object Detection
*Daria Pirozhkova* Coursework
*Rishabh Tiwari* Coursework|
|28, #|*Alix Bernard* Coursework
*Mukul Vishwas* Coursework
*Watana Pongsapas* Coursework
*Raphael Blankson* Coursework
*Abhishek Saxena* Coursework|
h3. April, 2020
|2, #|*Thibault Kollen* Flipout: Efficient pseudo-independent weight perturbations on mini-batches
*Richard Fambon* Tensor Networks
*Alexander Rusnak* GPT-2
*Dinesh Reddy* Brain Tumor Sementation Using Deep Learning by Type Specific Sorting of Images|
|9, #|*Rohan Rathore* Layer-wise relevance propagation: an overview
*Antoine Logeais* Weight uncertainty in neural networks
*Owen Siyoto* Learning to interpret satellite images in global scale using wikipedia
*Abhishek Saxena* Blockchain for AI: Review and open research challenges|
|16, #|*Alexey Korolev* Bert-dst: Scalable end-to-end dialogue state tracking with bidirectional encoder representations from transformer BERT-DST
*Jetina Tsvaki* Understanding learning mixup training methods
*Jetina Tsvaki* Master
*Alexander Donets* Implicit weight uncertainty in neural networks|
|23, #|*Mukul Vishwas*
*Rishabh Tiwari*
*Geoffroy de Felcourt* Jasper: An end-to-end convolutional neural acoustic model
*Vladislav Panferov* Coursework|
|30, #|*Raphael Blankson* Towards quantum machine learning with tensor networks
*Vassily Baranov* Coursework
*Kalmutskiy Kirill* Coursework
*Mikhail Liz* Coursework|
h3. March, 2020
|5, #|-*Elena Voskoboy* Hybrid VAE for NLG-
*Mikhail Liz* Deep learning for symbolic mathematics
*Vassily Baranov* Distilling knowledge
-*Andrey Yashkin*-
*Sergey Garmaev* Reservoir Computing|
|12, #|*Oladotun Aluko* NASNet and AutoML
*Watana Pongsapas* Deep learning: A Generic approach for extreme condition traffic
*Kirill Kalmutsky* Variational Quantum Circuits and Deep Reinforcement Learning
*Andrey Yashkin* Quantum circuit learning|
|19, #|*-Geoffroy de Felcourt-*
*Elena Voskoboy* Hybrid VAE for NLG
~~25 min slot~~|
|26, #|*Omid Razizadeh* Reynolds Averaged Turbulence Modeling using Deep Neural Networks with Embedded Invariance.
*Omid Razizadeh* Master thesis
*Kaivalya Pandey* Deep Reinforcement Learning
*Alix Bernard* Deep Learning based Approach to Reduced Order Modelling.|
h3. February, 2020
|6, #3133|Planning the semester|
|13, #3133|Planning the semester|
|20, #|*Nikita Nikolaev* Zero and Few shot learning
~~25 min slot~~
~~25 min slot~~
~~25 min slot~~|
|27, #|*Daria Pirozhkova* ERNIE
-*Sergey Garmaev* Reservoir Computing-
~~25 min slot~~
~~25 min slot~~|
h2. Schedule 2019, fall
Thursday, 18:10, cab 5239 NSU new building
h3. December, 2019
|5, #2819|*Rohan Rahore* “Why Should I Trust You?” Explaining the Predictions of Any Classifier
*Jetina Tsvaki* Thesis
*Omid Razizadeh* Thesis
-*Mihail Rodin* Style transfer-
-*Mohammed Sweilam*-|
|12, #2860|*Ravi Kumar* Thesis
*Raphael Blankson*
*Nikita Nikolaev*
*Abhishek Saxena*
*Rishabh Tiwarri*|
|19, #2946|Conducted by *Kaivalya Anand Pandey*
*Jetina Tsvaki* Paper
-*Elizaveta Tagirova* Paper with code: Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme-
-*Elizaveta Tagirova* Master thesis-
-*Vladislav Panferov*-
*Mikhail Liz* CosFace
*Alexander Rusnak*|
|26, #|*Mihail Rodin* Style transfer
*Mohammed Sweilam*
-*Alexander Rusnak*-
*Owen Siyoto* Master thesis
*Owen Siyoto* Efficient Net
Rescheduled:
* *Elizaveta Tagirova* Paper with code: Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme-
* *Elizaveta Tagirova* Master thesis
* *Vladislav Panferov*|
h3. November, 2019
|7, #2660|*Sergey Garmaev*
*Dinesh Reddy*
*Daria Pirozhkova*
-*Oladotun Aluko*-
*Ravi Kumar* Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge|
|14, #2720|*Roman Kozinets*, Weight Agnostic Neural Networks
*Roman Kozinets*, Master thesis
*Elena Voskoboy* A neural algorithm of artistic style
*Alix Bernard*
-*Oladotun Aluko*-|
|21, #2726|*Kaivalya Pandey*
*Alexander Donets*
-*Rishabh Tiwari*-
*Andrey Yashkin*
*Oladotun Aluko*|
|28, #2766|*Alexey Korolev*
*Kirill Kalmutskiy*
*Mukul Vishwas*
*Antoine Kristanek*|
h3. October, 2019
|3, #2447|~~25 min slot~~
~~25 min slot~~
~~25 min slot~~
~~25 min slot~~|
|10, #2456|Scientific Advisor: prof. Yakovenko S.N.
Scientific Advisor: Postovalov S.N.
Scientific Advisor: Bondarenko I., Batura T.V.
~~25 min slot~~|
|17, #2473|*Munyaradzi Njera* Paper
~~25 min slot~~
~~25 min slot~~
~~25 min slot~~|
|24, #|Scientific Advisor: prof. Palchunov D.E.
*Munyaradzi Njera* Thesis
*Vassily Baranov*|
|31, #2638|*Omid Razizadeh*, Data-driven predictive using field inversion
~~25 min slot~~
*Watana Pongsapas*
-*Ravi Kumar* Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge-|
h3. September, 2019
1. Introduction
2. Scientific advisors presentations: https://trello.com/b/859tElZm/scientfic-advisors-19-21
Presented:
# Taylakov D. (Digital Field Technology)
# Kolonin A.
# Okunev A.
# Usov E. (NNTC.pro)
To be presented:
# ... see https://trello.com/b/859tElZm/scientfic-advisors-19-21
3. Planning the semester #2435 (20.09.2019, 26.09.2019)
h2. Schedule 2019, spring
Thursday, 16:20, cab 5212 NSU new building
h3. May, 2019
|23, #|*Munjaradzi Njera* Master thesis
*Andrey Marinov*: Selsam, D., Lamm, M., Bünz, B., Liang, P., de Moura, L., & Dill, D. L. (2018). Learning a SAT solver from single-bit supervision. arXiv preprint arXiv:1802.03685.
*Ravi Kumar* Course work
-*Klim Markelov* Master thesis-
*Roman Kozinets* Master thesis (imaging)
*Anton Dorozhko* Reinforcement Learning for long-term reward optimization in recommender systems (Master thesis)
*Omid Razizadeh* Coursework: Detecting Alzheimer's disease using different machine learning approaches
*Artem Sergeev* Paper: Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
*Artem Sergeev* Master Thesis|
|16, #|*Jetina Tsvaki* Master thesis
*Anik Chakrabarthy* Master thesis
*Dylan Bersans* Outside the closed world: On Using ML for Network Intrusion Detection
*Andrey Marinov* Master thesis: Research on an efficiency of the bilingual model for the silent speech recognition.
*Ivan Rogalsky* Open System Categorical Quantum Semantics in NLP (master thesis, review)
*Jetina Tsvaki* Predicting Oil Movement in a development System Using Deep Latent Dynamic Models|
h3. April, 2019
|25, #|Open Seminar jointly with Open Data Science Siberia
*Andrey Zubkov* Master thesis: Separability of silent speech phonemes for English language. Speaker and session independence.
*Evgeniy Kurochkin* Master thesis
*Alexandra Luchkina* Master thesis
*Leyuan Sheng* Master thesis: Text to speech synthesis using Generative Adversarial networks for speech enhancement.
*Malysheva Anastasia* Master thesis: The development and research of the prediction methods for time series obtained by the combination of different patterns.
*Olga Yakovenko* Course work
*Juan Pinzon* Master thesis: Sentiment Analysis in Social Media Texts (Spanish language)
Video: https://www.youtube.com/watch?v=T7Oa4hBR3g4|
|18, #|-*Ivan Rogalsky* Open System Categorical Quantum Semantics in NLP (master thesis, review)
*Ravi Kumar* Master thesis
*Jetina Tsvaki* Predicting Oil Movement in a development System Using Deep Latent Dynamic Models
*Dylan Bersans* Outside the closed world: On Using ML for Network Intrusion Detection
*Olga Yakovenko* Course work
*Juan Pinzon* Master thesis- replaced by
*Natalia Loukashevich* Modern trends on NLP (Tochka Kipenia, Academpark, 16:00, 18.04.2019)|
|11, #2164|*Leyuan Sheng* Tacotron 2
-*Klim Markelov* Master thesis-
-*Juan Pinzon* Master thesis-
*Ravi Kumar* State of the art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's
*Malysheva Anastasia* Attention is all you need https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf |
|4, #2146|*Roman Kozinets* CNN for speech command recognition. Review
-*Ivan Rogalsky* Quantum-Theoretic Approach in Dicstr. Semantics-
*Akilesh Sivaswamy* Master thesis: Data classification using superposition and HMM
*Madina Tussupova* Master Thesis: Determination of grammatical categories using machine learning algorithms
*Madina Tussupova* 5.3. Wieting J., Kiela D. No Training Required: Exploring Random Encoders for Sentence Classification //arXiv preprint arXiv:1901.10444. – 2019. URL (20 min)|
h3. March, 2019
|28, #2105|-*Ravi Kumar* State of the art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's-
*Munjaradzi Njera* Human-level control through deep reinforcement learning
*Thomas Vialars* Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures
*Petr Gusev* MXNet
*Petr Gusev* Master Thesis|
|21, #2086|*Juan Pinzon* Universal Language Model Fine-tuning for Text Classification
*Elizaveta Tagirova* Master Thesis
-*Petr Gusev* MXNet-
-*Seth Gyamerah* Understanding consumer behavior-|
|14, #2076|*Omid Razizadeh* Pixel Recurrent Neural Networks.
*Klim Markelov* A Style-Based Generator Architecture for Generative Adversarial Networks.
*Anik Chakrabarthy* DisCoCat toy model
*Akilesh Sivaswamy* CosFace|
|7, #2071|-*Andrey Zubkov* Performance of Word Embeddings- (previously reported)
*Alexandra Luchkina* Triplet loss
*Evgeniy Kurochkin* Self-Taught Convolutional Neural Networks for Short Text Clustering
*Olga Yakovenko* BigARTM|
h3. February, 2019
|28, #2058|*Elizaveta Tagirova* Universal Sentence Encoder
*Andrey Zubkov* Neurohackathon on autism disorder: prized solution
~~time slot (25 min)~~
~~time slot (25 min)~~|
|21, #2054|*Vyacheslav Mukhortov* Project Management Practice: teambiudling and project tasks.
*Evgeniy Pavlovskiy* Planning of academic seminar for Spring, 2019|
h2. Schedule 2018, fall
Thursday, 18:10, cab 5273 NSU new building
h3. December, 2018
|6, #2034|*Leyuan Sheng*, CycleGAN
*Tagirova Elizaveta*. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf
*Luchkina Alexandra*, Sobolev Training
*Fishman Daniil*, Prediction of enhancer-promoter interactions via natural language processing|
|13, #|*Anton Kolonin*. Topics for master work.
*Evgeniy Averyanov*, Schmidt, Mark. Minimizing finite sums with the stochastic average gradient / M. Schmidt, N. Le Roux, F. Bach // Mathematical Programming. — 2017. — Vol. 162(1). — P. 83–112. — URL: https://link.springer.com/article/10.1007/s10107-016-1030-6
*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf
*Lee Wonjai*. Bayesian CDF (continue with example)
|
|20, #|-*Artem Sergeev*. ArcFace-
*Gyamerah Seth*, Fuzzy time series on financial forecasting
-*Mulley Loic*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf-
*Kurochkin Evgeniy*, DenseNet
|
|27, #|*Julien Machet*, Machine learning top down and bottom up.
*Ivan Rogalsky*
*Arsentiy Melnikov* Teacher student curriculum learning https://arxiv.org/pdf/1707.00183.pdf
*Loic Mulley*, Triplet Loss https://arxiv.org/pdf/1503.03832.pdf
*Artem Sergeev*, ArcFace|
h3. November, 2018
|1, #|*Petr Gusev*. ResNet, ResNeXt K. He, X. Zhang, S. Ren, and J. Sun. Deep Residual Learning for Image Recognition. In CVPR, 2016
*Anastasia Malysheva*, Variational Autoencoders
*Anik Chakrabarthy*. Quantum Semantics
~~25 min slot~~|
|8, #|*Akilesh Sivawamy*, Mobile NN.
*Lee Wonjai*. Bayesian CDF
-*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf- (moved to December)
*Olga Yakovenko*, RNN for Speech Recognition|
|15, #|*Ravi Kumar*, Deep Learning in Mobile and Wireless Networks: a Survey
*Munjaradzi Njera*, Attentioned based LSTM
*Juan Fernando Pinzon Correa*, Rapids AI
*Urynbassarov Mukhtar*, GAN|
|22, #|lost|
|29, #|*Roman Kozinets*, Siamese NN
*Omid Razizadeh*, tSNE
*Jetina Tsvaki*, Natural language based financial forecasting: a survey
*Owen Siyoto*, Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network|
h3. October, 2018
|18, #2028|Planning the semester|
|25, #|*Klim Markelov*, Capsule NN
*Andrey Zubkov*, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983
*Vitaly Poteshkin*, MixUp
Planning the semester|
h3. September, 2018
1. 2nd year students coursework pre-defence: (1) #2008, (2) 14.09.2018.
2. Scientific advisors presentations: https://trello.com/b/ZlMTMsS8/bdaai-scientific-topics
# Taylakov D.
# Savostyanov A.N.
# Duchkov A.
# Golovin S.
# Pavlovskiy E.
# Kohanovskiy A.
# Sviridenko D.
# Redyuk A.
# Vityaev E.
h2. [[Archive]]