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: https://t.co/GRsPnWqjX9 Video: https://t.co/4CxRzlAJm7

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: https://t.co/4hJQBTfTsT

Arrived in Kigali for #ICLR2023 to present our findings on (Kernel) Neural Optimal Transport on Monday at oral (AD4, 15.00) and poster session 2 (#91), and on Wednesday at poster session 5 (#133)! Papers: https://t.co/sZxemk77CH https://t.co/UlQrSnVsn6

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: https://t.co/OxciWpIJ2P 🖇 @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:

Feel the power of topology for NLP! Here is how Artificial Text Detection can be done via Examining the Topology of Attention Maps https://t.co/m2Wq0whxEV @KatyaArtemov Accepted to #EMNLP2021 #EMNLP #TDA

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 https://t.co/1rDR4mrAuv @likzet @artistadatos #KDD

"Random Fourier Features based SLAM" is all you need to efficiently localise your robot. Accepted to IROS https://t.co/Bdb6aZwGqh @yeahrmek #IROS

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! https://t.co/Wdw2Svpj17 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! https://t.co/UlBD7alSPQ 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

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! 🥳

I was featured at @el_universal_mx, the largest Mexican newspaper. The article describes what I do and how things got started. And yes, I am a proud nerd. https://t.co/UhuUJNZfY7

“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 https://t.co/yQgkKzkVwQ #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! https://t.co/bzRbQEx3kb #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!

New papers accepted to ICLR 2021: - Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization, https://t.co/KHqRd3Oo5e - Wasserstein-2 Generative Networks, https://t.co/lNGeWouysz #iclr2021