Seminars schedule » History » Revision 261
Revision 260 (Owen Siyoto, 2020-04-16 11:12) → Revision 261/552 (Owen Siyoto, 2020-04-16 11:13)
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 *Owen Siyoto* Learning to interpret satellite images in global scale using wikipedia *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 *Elena Voskoboy* 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| |28, #|*Alix Bernard* Coursework *Mukul Vishwas* Coursework *Watana Pongsapas* Coursework *Raphael Blankson* Coursework *Abhishek Saxena* Coursework *Nikita Nikolaev* Coursework| h3. April, 2020 |2, #|[Optional] Daia Scientist - values of a professional| |9 -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 *Olga Yakovenko* University of Pau| |16 -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 *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 -16-, #|*Jetina Tsvaki* Understanding mixup training methods *Jetina Tsvaki* Master *Mukul Vishwas* *Rishabh Tiwari* *Geoffroy de Felcourt* Jasper: An end-to-end convolutional neural acoustic model *Fishman Daniil* *Mikhail Rodin* Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization| |30, #|*Raphael Blankson* Towards quantum machine learning with tensor networks *Vassily Baranov* Coursework *Kalmutskiy Kirill* Coursework *Mikhail Liz* Coursework| h3. 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-.| h3. 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~~| 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]]