Konstantin Sobolev

According to our database, Konstantin Sobolev authored at least 15 papers between 2015 and 2026.

Collaborative distances:

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

2026

Calibri: Enhancing Diffusion Transformers via Parameter-Efficient Calibration.

Danil Tokhchukov, Aysel Mirzoeva, Andrey Kuznetsov, Konstantin Sobolev

CoRR, March, 2026

Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching.

Arsen Kuzhamuratov, Mikhail Zhirnov, Andrey Kuznetsov, Ivan V. Oseledets, Konstantin Sobolev

CoRR, March, 2026

Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition.

Ashish Jha, Dmitrii Ermilov, Anh Huy Phan, Konstantin Sobolev, Salman Ahmadi-Asl, Naveed Ahmed, Imran Junejo, Zaher Al Aghbari, Thar Baker, Ahmed M. Khedr, Andrzej Cichocki

IEEE Intell. Syst., 2026

T-LoRA: Single Image Diffusion Model Customization Without Overfitting.

Vera Soboleva, Aibek Alanov, Andrey Kuznetsov, Konstantin Sobolev

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ImproveYourVideos: Architectural Improvements for Text-to-Video Generation Pipeline.

Vladimir Arkhipkin, Zein Shaheen, Viacheslav Vasilev, Elizaveta Dakhova, Konstantin Sobolev, Andrey Kuznetsov, Denis Dimitrov

IEEE Access, 2025

2024

How to Train Your Unstable Looped Tensor Network.

Anh-Huy Phan, Dmitry Ermilov, Nikolay Kozyrskiy, Igor Vorona, Konstantin Sobolev

IEEE J. Sel. Top. Signal Process., September, 2024

2023

Attribute recognition for person re-identification using federated learning at all-in-edge.

Shini Girija, Thar Baker, Naveed Ahmed, Ahmed M. Khedr, Zaher Al Aghbari, Ashish Jha, Konstantin Sobolev, Salman Ahmadi-Asl, Anh Huy Phan

Internet Things, July, 2023

Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition.

Ashish Jha, Dimitrii Ermilov, Konstantin Sobolev, Anh Huy Phan, Salman Ahmadi-Asl, Naveed Ahmed, Imran N. Junejo, Zaher Al Aghbari, Thar Baker, Ahmed Mohamed Khedr, Andrzej Cichocki

CoRR, 2023

2022

Modeling the dynamics of a changing range genetic algorithm in noisy environments.

Adil Amirjanov, Konstantin Sobolev

Math. Comput. Simul., 2022

How to Train Unstable Looped Tensor Network.

Anh-Huy Phan, Konstantin Sobolev, Dmitry Ermilov, Igor Vorona, Nikolay Kozyrskiy, Petr Tichavský, Andrzej Cichocki

CoRR, 2022

2021

Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices.

Anh-Huy Phan, Petr Tichavský, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Andrzej Cichocki

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network.

Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki

Proceedings of the Computer Vision - ECCV 2020, 2020

2017

Scheduling of directed acyclic graphs by a genetic algorithm with a repairing mechanism.

Adil Amirjanov, Konstantin Sobolev

Concurr. Comput. Pract. Exp., 2017

2016

Anti-Icing Superhydrophobic Surfaces: Controlling Entropic Molecular Interactions to Design Novel Icephobic Concrete.

Rahul Ramachandran, Marina Kozhukhova, Konstantin Sobolev, Michael Nosonovsky

Entropy, 2016

2015

Changing range genetic algorithm for multimodal function optimisation.

Adil Amirjanov, Konstantin Sobolev

Int. J. Bio Inspired Comput., 2015