Learning to Approximate Directional Fields Defined Over 2D Planes. - Maria Taktasheva; Albert Matveev; Alexey Artemov; Evgeny Burnaev (AIST, 2019)

ABC: A Big CAD Model Dataset for Geometric Deep Learning. - Sebastian Koch; Albert Matveev; Zhongshi Jiang; Francis Williams; Alexey Artemov; Evgeny Burnaev; Marc Alexa; Denis Zorin; Daniele Panozzo (CVPR, 2019)

Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. - Albert Matveev; Alexey Artemov; Denis Zorin; Evgeny Burnaev (ANNPR, 2020)

DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes. - Albert Matveev; Alexey Artemov; Ruslan Rakhimov; Gleb Bobrovskikh; Daniele Panozzo; Denis Zorin; Evgeny Burnaev (CoRR, 2020)

3D Parametric Wireframe Extraction Based on Distance Fields. - Albert Matveev; Alexey Artemov; Denis Zorin; Evgeny Burnaev (AIPR, 2021)

DEF: deep estimation of sharp geometric features in 3D shapes. - Albert Matveev; Ruslan Rakhimov; Alexey Artemov; Gleb Bobrovskikh; Vage Egiazarian; Emil Bogomolov; Daniele Panozzo; Denis Zorin; Evgeny Burnaev (ACM Trans. Graph., 2022)

Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators. - Albert Matveev; Sanmitra Ghosh; Aamal Hussain; James-Michael Leahy; Michalis Michaelides (CoRR, 2025)