Research organisation focused on advanced #data #analytics for science and engineering. #MachineLearning group for industrial applications based @Skoltechadase.group Moscow, RussiaJoined July 2017
Excited to share the release of Sk3D: a new multi-sensor dataset for multi-view 3D surface reconstruction.
Sk3D provides registered RGB **and depth** for 7 sensors of varying resolutions and modalities.
#CVPR2023
Project: skoltech3d.appliedai.tech
Video: youtu.be/KPwghPyZWDE
At #ICLR2023 and interested to learn topologically correct representations? We will present our "Learning Topology-Preserving Data Representations" today (May 1)! Poster session 1 (#83), 11:30–13:30 Paper: openreview.net/forum?id=lIu-i…
Happy to share our #CVPR2022 work!
Joint collaboration with @TimoteiArdelean @vilemp @burnaevevgeny.
We take the original NPBG pipeline and make it work without per-scene optimization.
Code coming this week.
Happy to share our #CVPR2022 work!
Joint collaboration with @TimoteiArdelean @vilemp @burnaevevgeny.
We take the original NPBG pipeline and make it work without per-scene optimization.
Code coming this week.
Scientists created a neural network method for modeling diffusions that obey the Fokker-Planck equation High voltage sign ⚡️
Read the full article presented at Neural Information Processing Systems (NeurIPS 2021) via link: lnkd.in/dxYMKTGD 🖇 @burnaevevgeny
We updated the code for "Making DensePose fast and light" to match the recent detectron2 version and released the weights! We also added the "Continuous surface embeddings" variant. Metrics got even better compared to the legacy version!
github: github.com/zetyquickly/De…
Wanna know how to defend from adversarial attacks on your financial transactions? Then first you need to know how to do them! see our recent KDD paper
arxiv.org/abs/2106.08361@likzet @artistadatos #KDD
A "Key to Efficient Online Aggregation of Functional and Probabilistic Forecasts" you can find in our recent paper about "Mixability of Integral Losses", accepted to Pattern Recognition journal! arxiv.org/abs/1912.07048
Thnx to Alex Korotin and Vladimir Vyugin
Often wonder what is Optimal Transport efficient for?
In our paper "Large-Scale Wasserstein Gradient Flows" we show how to solve the Fokker-Planck equation in a multidimensional case! arxiv.org/abs/2106.00736 Thnx to P Mokrov, A Korotin, Lingxiao Li @a_gnv@JustinMSolomon
"Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark" gives an answer to this delicate question in our recent paper arxiv.org/abs/2106.01954
Good news! 🎉
Our paper "Adversarial Attacks on Deep Models for Financial Transaction Records" with @RodrigoRivr @burnaevevgeny and other outstanding coauthors is accepted at #KDD2021! We know, how to attack financial transaction models and defend from those attacks.
@kdd_news
Alexander Korotin, Skoltech PhD student in Computer Science, and CDISE research scientist Alexey Artemov have been chosen as the recipients of the Ilya Segalovich Award, a prize that @yandex awards annually for outstanding achievements in computer science. Congratulations! 🥳
“Reinforcement Learning for Combinatorial Optimization: A Survey”
by Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov, Evgeny Burnaev has been accepted to Computers and Operations Research! see arxiv.org/abs/2003.03600#RL#optimization#graphML
"The Ph.D. Grind" is the book that every doctoral student must read. It is a memoir by Philip J. Guo, a university professor, but back then a graduate student navigating a Ph.D. program in computer science. This thread summarizes the main takeaways for you👇 [1/23]
WE ARE LIVE! The 3rd Deep Learning for Geometric Computing Workshop at #ICCV2021 is accepting papers and challenge submissions with 7 tracks of geometry processing problems in 2D/3D. Competitions with prizes, proceedings, keynotes! sites.google.com/view/dlgc-work…#DLGC2021#CV#3D
We are thrilled to announce our latest pre-print on the deep clustering of event sequences! Have you ever wondered how to cluster sequences of bank transactions? Or of patients' visits to hospitals? In this work, we show you how to do it using COHORTNEY! arxiv.org/abs/2104.01440
2K Followers 5K FollowingData-Centric Engineering, a new #openaccess journal at the interface of engineering and data science. Published by @CambridgeUP and supported by @LR_Foundation.
40 Followers 659 FollowingEconomista frustrado (PUCP), Enamorado de la Matematica (UGR- Es) , sin ser correspondido . Emprendedor en Startup de educacion virtual con herramientas de RV.
283 Followers 97 FollowingHSE University's Faculty of Computer Science is one of the foremost centres of computer science education and research in Russia.
8 Followers 8 FollowingLARSS laboratory works on applications of digital technologies in Industry and the development of Machine Learning algorithms in Skoltech. Our head is @likzet
2K Followers 6K FollowingTenured Asst Prof at the @univgroningen, Uncertainty in ML, Robotics, Chilean, Photographer, Feminist, Snoopy lover, Dr #latinXinAI
8 Followers 8 FollowingLARSS laboratory works on applications of digital technologies in Industry and the development of Machine Learning algorithms in Skoltech. Our head is @likzet
332 Followers 43 FollowingThe Summer School of Machine Learning at Skoltech will take place ONLINE between the 16th and the 21st of August 2020. 👇APPLY in the link!
244K Followers 2K FollowingThe world's leading publication for data science and artificial intelligence professionals.
Submit an Article ✍️ https://t.co/57pIMegK1o
5K Followers 0 FollowingVirtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC.
3K Followers 262 FollowingResearch director at Meta leading the Adaptive Experimentation team. Bayesian optimization, Bayesian ML, bandits, RL, experiments, causal inference.
451K Followers 77 FollowingTensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation
36K Followers 272 FollowingAngel investor. Ex Researcher in Deep Learning @GoogleDeepMind. Co-creator @GoogleAI Brain Amsterdam, Ex original @DeepMind, Edu at Oxford, UvA and Stanford.
41K Followers 245 FollowingProfessor of Machine Learning, University of Oxford
@OATML_Oxford Group Leader
Director of Research at the UK govt's AI Security Institute (AISI)