Stanislav Morozov

According to our database, Stanislav Morozov authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Accelerated alternating minimization algorithm for low-rank approximations in the Chebyshev norm.

Stanislav Morozov, Dmitry A. Zheltkov, Alexander Osinsky

CoRR, 2024

2022

On the optimal rank-1 approximation of matrices in the Chebyshev norm.

Stanislav Morozov, Matvey Smirnov, Nikolai L. Zamarashkin

CoRR, 2022

On the algorithm of best approximation by low rank matrices in the Chebyshev norm.

Stanislav Morozov, Nikolai L. Zamarashkin, Eugene Tyrtyshnikov

CoRR, 2022

2021

Object Segmentation Without Labels with Large-Scale Generative Models.

Andrey Voynov, Stanislav Morozov, Artem Babenko

Proceedings of the 38th International Conference on Machine Learning, 2021

On Self-Supervised Image Representations for GAN Evaluation.

Stanislav Morozov, Andrey Voynov, Artem Babenko

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models.

Andrey Voynov, Stanislav Morozov, Artem Babenko

CoRR, 2020

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data.

Sergei Popov, Stanislav Morozov, Artem Babenko

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs.

Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko

CoRR, 2019

Relevance Proximity Graphs for Fast Relevance Retrieval.

Stanislav Morozov, Artem Babenko

CoRR, 2019

Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.

Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Problem of Decoupling Multivariate Polynomials.

Stanislav Morozov, Dmitry A. Zheltkov, Nikolai L. Zamarashkin

Proceedings of the Large-Scale Scientific Computing - 12th International Conference, 2019

Unsupervised Neural Quantization for Compressed-Domain Similarity Search.

Stanislav Morozov, Artem Babenko

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Non-metric Similarity Graphs for Maximum Inner Product Search.

Stanislav Morozov, Artem Babenko

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018