MIPT Bioinformatics Club #1

April 23, 2018

Daria Romanovskaia about Nature paper “Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning” Authors of this paper propos...

MIPT Quantum Club #2

April 7, 2018

Anton Karazeev about optical setups that can mimic the functionality of artificial neural networks (Optical Neural Networks) - paper [1], Nature, 2017. The ...

MIPT Deep Learning Club #13

March 30, 2018

Taras Khakhulin about “Breaking the Softmax Bottleneck: A High-Rank RNN Language Model” The problem of constructing the Language model was considered as a f...

MIPT Deep Learning Club #12

March 16, 2018

Anton Karazeev on classical methods of keyphrases extraction from (biomedical) texts: statistical (TF-IDF) and graphical (TextRank). Besides them, newly pro...

MIPT Quantum Club #1

March 3, 2018

Anton Karazeev on application of neural networks (Restricted Boltzmann Machines, RBM) for quantum state tomography qst Tomography of quantum states is labou...

MIPT Deep Learning Club #11

February 16, 2018

Danil Lykov on applications of attention-mechanisms Besides well-known paper “Show, Attend and Tell” by Bengio et al., a new paper about “AttnGAN” by Micros...

MIPT Deep Learning Club #10

November 28, 2017

Danil Lykov about Hinton’s paper on “Dynamic Routing Between Capsules” New method of information transmitting from different areas of image is proposed (in ...

MIPT Deep Learning Club #9

November 21, 2017

Emil Zakirov about “Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer” Authors studied conditional computation layer called Mi...

MIPT Deep Learning Club #8

November 3, 2017

“Improving the Realism of Synthetic Images” - Anton Karazeev about paper by Apple (Machine Learning Journal) The key novelty here is using the generator’s h...

MIPT Deep Learning Club #6

October 20, 2017

Synthesis of human speech from text - Emil Zakirov about generative model “WaveNet” by google [September, 2016] WaveNet [April, 2017] Tacotron