Seminar "Big Data Analytics"¶

(sorted by later first)

Schedule 2020, spring¶

Thursday, 16:20, cab 0207 NSU new building, '-1' elevator floor, online: https://zoom.us/j/910812617

May, 2020¶

7, #	Ravi Kumar Master Owen Siyoto Master Oladotun Aluko Coursework Alexander Rusnak Coursework Vladislav Panferov Coursework
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 Alexander Donets Coursework Daria Pirozhkova Coursework Rishabh Tiwari Coursework	Elena Voskoboy Coursework
28, #	Alix Bernard Coursework Mukul Vishwas Coursework Watana Pongsapas Coursework Raphael Blankson Coursework Abhishek Saxena Coursework

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 Alix Bernard Deep Learning based Approach to Reduced Order Modelling Ravi Kumar Complex Convolution. IEEE
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 Jetina Tsvaki Understanding 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 Fishman Daniil
30, #	Raphael Blankson Towards quantum machine learning with tensor networks Vassily Baranov Coursework Kalmutskiy Kirill Coursework Mikhail Liz Coursework

March, 2020¶

5, #3137	Elena Voskoboy Hybrid VAE for NLG Mikhail Liz Deep learning for symbolic mathematics Vassily Baranov Distilling knowledge Andrey Yashkin Sergey Garmaev Reservoir Computing
12, #3138	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, #3139	Geoffroy de Felcourt Elena Voskoboy Hybrid VAE for NLG ~25 min slot~
26, #3190	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.

February, 2020¶

6, #3133	Planning the semester
13, #3133	Planning the semester
20, #3136	Nikita Nikolaev Zero and Few shot learning ~25 min slot~ ~25 min slot~ ~25 min slot~
27, #3135	Daria Pirozhkova ERNIE Sergey Garmaev Reservoir Computing ~25 min slot~ ~25 min slot~

Schedule 2019, fall¶

Thursday, 18:10, cab 5239 NSU new building

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

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

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

September, 2019¶

1. Introduction
2. Scientific advisors presentations: https://trello.com/b/859tElZm/scientfic-advisors-19-21

Presented:

1. Taylakov D. (Digital Field Technology)
2. Kolonin A.
3. Okunev A.
4. Usov E. (NNTC.pro)

To be presented:

1. ... see https://trello.com/b/859tElZm/scientfic-advisors-19-21

3. Planning the semester #2435 (20.09.2019, 26.09.2019)

Schedule 2019, spring
Thursday, 16:20, cab 5212 NSU new building¶

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

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)

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

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

Schedule 2018, fall
Thursday, 18:10, cab 5273 NSU new building¶

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

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

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

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

1. Taylakov D.
2. Savostyanov A.N.
3. Duchkov A.
4. Golovin S.
5. Pavlovskiy E.
6. Kohanovskiy A.
7. Sviridenko D.
8. Redyuk A.
9. Vityaev E.

Archive¶