Scientific workshop "Big Data Analytics"

h1. Seminar "Big Data Analytics"

(sorted by later first) 

h2. Schedule 2019, spring

Thursday, 16:20, cab 5273 NSU new building

h3. March, 2019

|28, #|~~time slot (25 min)~~

~~time slot (25 min)~~

~~time slot (25 min)~~

~~time slot (25 min)~~|

|21, #|~~time slot (25 min)~~

~~time slot (25 min)~~

~~time slot (25 min)~~

~~time slot (25 min)~~|

|14, #|*Omid Razizadeh* Pixel Recurrent Neural Networks.

~~time slot (25 min)~~

~~time slot (25 min)~~

~~time slot (25 min)~~|

|7, #|*Andrey Zubkov* Performance of Word Embeddings

~~time slot (25 min)~~

~~time slot (25 min)~~

~~time slot (25 min)~~|

h3. February, 2019

|28, #|~~time slot (25 min)~~

~~time slot (25 min)~~

~~time slot (25 min)~~

~~time slot (25 min)~~|

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]]