Non-metric Similarity Graphs for Maximum Inner Product Search. - Stanislav Morozov; Artem Babenko (NeurIPS, 2018)

Unsupervised Neural Quantization for Compressed-Domain Similarity Search. - Stanislav Morozov; Artem Babenko (ICCV, 2019)

On the Problem of Decoupling Multivariate Polynomials. - Stanislav Morozov; Dmitry A. Zheltkov; Nikolai L. Zamarashkin (LSSC, 2019)

Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs. - Denis Mazur; Vage Egiazarian; Stanislav Morozov; Artem Babenko (NeurIPS, 2019)

Relevance Proximity Graphs for Fast Relevance Retrieval. - Stanislav Morozov; Artem Babenko (CoRR, 2019)

Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs. - Denis Mazur; Vage Egiazarian; Stanislav Morozov; Artem Babenko (CoRR, 2019)

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. - Sergei Popov; Stanislav Morozov; Artem Babenko (ICLR, 2020)

Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models. - Andrey Voynov; Stanislav Morozov; Artem Babenko (CoRR, 2020)

On Self-Supervised Image Representations for GAN Evaluation. - Stanislav Morozov; Andrey Voynov; Artem Babenko (ICLR, 2021)

Object Segmentation Without Labels with Large-Scale Generative Models. - Andrey Voynov; Stanislav Morozov; Artem Babenko (ICML, 2021)

On the algorithm of best approximation by low rank matrices in the Chebyshev norm. - Stanislav Morozov; Nikolai L. Zamarashkin; Eugene Tyrtyshnikov (CoRR, 2022)

On the optimal rank-1 approximation of matrices in the Chebyshev norm. - Stanislav Morozov; Matvey Smirnov; Nikolai L. Zamarashkin (CoRR, 2022)

Accelerated alternating minimization algorithm for low-rank approximations in the Chebyshev norm. - Stanislav Morozov; Dmitry A. Zheltkov; Alexander Osinsky (CoRR, 2024)