New papers accepted to ICLR 2021: - Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization, arxiv.org/abs/2102.01752 - Wasserstein-2 Generative Networks, arxiv.org/abs/1909.13082 #iclr2021

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ECML PKDD You closed the submissions on EasyChair more than 15 minutes before the announced deadline, 23:59 AoE (UTC - 12). It is still 23:44.

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

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

Good news! 🎉 Our paper "Adversarial Attacks on Deep Models for Financial Transaction Records" with @RodrigoRivr Evgeny Burnaev and other outstanding coauthors is accepted at #KDD2021! We know, how to attack financial transaction models and defend from those attacks. SIGKDD 2025

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 Aude Genevay Justin Solomon

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

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 Alexey Zaytsev @artistadatos #KDD

"Random Fourier Features based SLAM" is all you need to efficiently localise your robot. Accepted to IROS arxiv.org/abs/2011.00594 Yermek Kapushev #IROS

Feel the power of topology for NLP! Here is how Artificial Text Detection can be done via Examining the Topology of Attention Maps arxiv.org/abs/2109.04825 Katya Artemova Accepted to #EMNLP2021 #EMNLP #TDA

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…

Excited to share *DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes* - our SIGGRAPH 2022 paper on reconstructing highly-accurate surface-based distance fields and wireframe representations of sampled 3D shapes. arxiv.org/abs/2011.15081 More in 🧵1/

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: openreview.net/forum?id=d8CBR… openreview.net/forum?id=Zuc_M…

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…

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