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Vladislav Panferov, 2020-05-31 13:18
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
June, 2020¶
| 4, # | Elena Voskoboy Coursework Abhishek Saxena Coursework Vladislav Panferov TRADITIONAL METHOD INSPIRED DEEP NEURAL NETWORK FOR EDGE DETECTION Sergey Garmaev Coursework Nikita Nikolaev Coursework Owen Siyoto Learning to interpret satellite images in global scale using wikipedia Mohamed Nasser Coursework Watana Pongsapas Coursework Alix Bernard Coursework |
May, 2020¶
| 7, #3241 | Ravi Kumar Master Owen Siyoto Master Oladotun Aluko Coursework Alexander Rusnak Coursework Vladislav Panferov Coursework Abhishek Saxena Blockchain for AI: Review and open research challenges |
| 14, #3248 | Kaivalya Pandey Coursework Andrey Yashkin Coursework Rohan Rathore Coursework Dinesh Reddy Coursework Munyaradzi Njera Paper Munyaradzi Njera Master Thesis |
| 21, #3283 | Daria Pirozhkova Coursework Alexey Korolev Coursework Mohamed Nasser End-to-End 3D Face Reconstruction with Deep Neural Networks Olga Yakovenko Master thesis |
| 28, #3325 | Mukul Vishwas Coursework Raphael Blankson Coursework Rishabh Tiwari Coursework |
April, 2020¶
| 2, # | [Optional] Daia Scientist - values of a professional |
| 9 |
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 Olga Yakovenko University of Pau |
| 16 |
Rohan Rathore Layer-wise relevance propagation: an overview Antoine Logeais Weight uncertainty in neural networks Alexey Korolev Bert-dst: Scalable end-to-end dialogue state tracking with bidirectional encoder representations from transformer Alexander Donets Implicit weight uncertainty in neural networks |
| 23 |
Jetina Tsvaki Understanding mixup training methods Jetina Tsvaki Master Mukul Vishwas A Study on Face Recognition Techniques with Age and Gender Classification Rishabh Tiwari Geoffroy de Felcourt Jasper: An end-to-end convolutional neural acoustic model Fishman Daniil XGBoost: A Scalable Tree Boosting System Fishman Daniil Master |
| 30, #3240 | Raphael Blankson Towards quantum machine learning with tensor networks Vassily Baranov Coursework Kalmutskiy Kirill Coursework Mikhail Rodin Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization |
March, 2020¶
| 5, #3137 | Mikhail Liz Deep learning for symbolic mathematics Vassily Baranov Distilling knowledge 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 | 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 |
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 ~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 |
| 12, #2860 | Ravi Kumar Thesis Raphael Blankson Nikita Nikolaev Abhishek Saxena Rishabh Tiwarri |
| 19, #2946 | Conducted by Kaivalya Anand Pandey Jetina Tsvaki Paper Mikhail Liz CosFace Alexander Rusnak |
| 26, # | Mihail Rodin Style transfer Mohammed Sweilam 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 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 |
| 21, #2726 | Kaivalya Pandey Alexander Donets 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 |
September, 2019¶
1. Introduction
2. Scientific advisors presentations: https://trello.com/b/859tElZm/scientfic-advisors-19-21
- Taylakov D. (Digital Field Technology)
- Kolonin A.
- Okunev A.
- Usov E. (NNTC.pro)
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 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, # | 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 Natalia Loukashevich Modern trends on NLP (Tochka Kipenia, Academpark, 16:00, 18.04.2019) |
| 11, #2164 | Leyuan Sheng Tacotron 2 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 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 | 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 |
| 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 | 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, # | Gyamerah Seth, Fuzzy time series on financial forecasting 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 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
- Taylakov D.
- Savostyanov A.N.
- Duchkov A.
- Golovin S.
- Pavlovskiy E.
- Kohanovskiy A.
- Sviridenko D.
- Redyuk A.
- Vityaev E.