Maxim Golyadkin
- Doctoral Student:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Junior Research Fellow:Faculty of Computer Science / International Laboratory for Intelligent Systems and Structural Analysis
- Visiting Lecturer:HSE Campus in Nizhny Novgorod / Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) / Department of Information Systems and Technologies
- Maxim Golyadkin has been at HSE University since 2023.
Education
- 2021
Master's in Applied Mathematics and Information Science
HSE University - 2019
Bachelor's
St Petersburg State University
Postgraduate Studies
3rd year of study
Approved topic of thesis: Neural network methods for image processing and enhancement
Academic Supervisor: Makarov, Ilya
Publications4
- Article Maksim Golyadkin, Alexander Gambashidze, Nurgaliev I., Ilya Makarov. Refining the ONCE Benchmark With Hyperparameter Tuning // IEEE Access. 2024. Vol. 12. P. 3805-3814. doi
- Article Maksim Golyadkin, Ilya Makarov. Robust Manga Page Colorization via Coloring Latent Space // IEEE Access. 2023. Vol. 11. P. 111581-111597. doi
- Article Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov. SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes // Artificial Intelligence. 2023. Vol. 324. Article 104012. doi
- Chapter Maksim Golyadkin, Makarov I. Semi-automatic Manga Colorization Using Conditional Adversarial Networks, in: Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 12602. Cham: Springer, 2021. doi P. 230-242. doi