Skoltech is an international graduate research-focused university that was founded by the group of world-renowned scientists in 2011. Skoltech's curriculum focuses on technology and innovation, offering Master's programs in 11 technological disciplines. Students receive rigorous theoretical and practical training, design their own research projects, participate in internships and gain entrepreneurial skills in English. The faculty is comprised of current researchers with international accreditation and achievements.

Deep Machine Intelligence Workshop

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                               Skoltech & Skolkovo Foundation
                               Workshop Program
                                     Saturday 4.6.16
10:00 10:15 Coffee break
10:15 10:45 Pavel Shkljudov (IBM), Slides,IBM Watson – the uncharted territory
10:45 11:15 Alexander Gasnikov (MIPT), Slides,
Universal fast gradient method for strictly convex stochastic composit optimization problems
11:15 11:45 Dmitry Vetrov (Skoltech), Slides,
Modelling multiple word meanings using Adaptive Skip-gram
11:45 12:15 Sergey Nikolenko (NRU HSE St. Petersburg, PDMI RAS), Slides
Deep learning for natural language processing
12:15 13:15 Lunch
13:15 13:45 Ivan Laptev (INRIA), Slides
Computer vision in CNN era: New challenges and opportunities
13:45 14:15 Andrey Ustyuzhanin (Yandex), Slides,
Reconstruction of long-lived particles tracks using deep learning
14:15 14:45 Alexander Chigorin (Yandex), Slides,
Improving Yandex images search using deep learning
14:45 15:15

Alexander Panin, Alexey Rogozhnikov (Yandex), Slides,

AgentNet - reinforcement learning toolkit for humans
15:15 16:45 Round table
16:45 17:05 Coffee break
17:05 17:35 Ruslan Salakhutdinov Carnegie Mellon University), Slides,Deep Learning
17:35 18:05
                                    Sunday 5.6.16
10:00 10:15 Coffee break
10:15 10:45 Ivan Oseledets (Skoltech),  Slides,Tensors and deep architectures
10:45 11:15 Mikhail Burtsev (MIPT DeepHack), Slides,
FSNet learning in partially-observable stochastic environments
11:15 11:45 Alexander Khanin (VisionLabs),  Slides,
Computer vision and deep learning in practical business cases
11:45 12:15 Ekaterina Lobacheva (Kaspersky Lab), Slides,
Recurrent neural networks for malware detection
12:15 13:15 Lunch
13:15 13:45 Vadim Lebedev (Skoltech), Slides,
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
13:45 14:15 Victor Lempitsky (Skoltech), Slides,
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
14:15 14:45 Andrey Afanasyev (iBinom),
Generalising better: applying deep-learning to prioritise deleterious point mutations
14:45 15:15 Anton Rodomanov (FCS HSE), Slides,
Optimization Methods for Big Sums of Functions
15:15 15:45 Dmitry Molchanov,
Automatic Relevance Determination via Variational Dropout
15:45 16:15 Artem Babenko (Yandex), Slides 
Deep learning for image retrieval
16:15 16:45 Lyubov Podoynitsina (Samsung R&D Institute Russia), Slides,
Veles - Deep learning platform from Samsung
16:45 17:15 Alexey Artemov (Yandex Data Factory), Slides,
Signal filtration with trend in disorders detection problems
17:15 17:35 Coffee break