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20142026
most citedDriving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks

233 citations · 1.1k across the 115 of their papers we have counts for

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Showing 2023Show all

16 papers · 1 filter

cs.CV2023

NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion

Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov +4

We present a novel method for 3D surface reconstruction from multiple images where only a part of the object of interest is captured. Our approach builds on two recent developments…

cs.CG2023★ 1 cited

A Method for Auto-Differentiation of the Voronoi Tessellation

Sergei Shumilin, Alexander Ryabov, Serguei Barannikov +2

Voronoi tessellation, also known as Voronoi diagram, is an important computational geometry technique that has applications in various scientific disciplines. It involves dividing…

cs.CV2023

PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing

Natalia Soboleva, Olga Gorbunova, Maria Ivanova +4

Surface reconstruction with preservation of geometric features is a challenging computer vision task. Despite significant progress in implicit shape reconstruction, state-of-the-ar…

cs.LG2023

Light Schrödinger Bridge

Alexander Korotin, Nikita Gushchin, Evgeny Burnaev

Despite the recent advances in the field of computational Schrödinger Bridges (SB), most existing SB solvers are still heavy-weighted and require complex optimization of several ne…

cs.LG2023

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs

Alexander Kolesov, Petr Mokrov, Igor Udovichenko +5

Optimal transport (OT) barycenters are a mathematically grounded way of averaging probability distributions while capturing their geometric properties. In short, the barycenter tas…

cs.LG2023★ 1 cited

Disentanglement Learning via Topology

Nikita Balabin, Daria Voronkova, Ilya Trofimov +2

We propose TopDis (Topological Disentanglement), a method for learning disentangled representations via adding a multi-scale topological loss term. Disentanglement is a crucial pro…