Maksim Zhdanov
I'm a Research Scientist at AIRI.
At the moment, I'm a 3-year BSc computer science student at University of Science and Technology MISIS (Moscow).
My passion is the AI research. I believe that the state-of-the-art technologies will shape our tomorrow as we continuosly understand the laws of our world better and better. I'm interested in AI4Science, particularly in how neural networks can be applied to biological and physical systems to facilitate new breakthroughs in drug design and quantum chemistry.
I'm also interested in generative AI and self-supervised learning.
My past experience includes conducting general machine learning research in T-Bank AI Lab mostly in the areas of uncertainty estimation and out-of-distribution detection. Previously, I worked on image/video generative models at X-Labs AI.
In the past, I participated in numerous machine learning competitions.
From cold Siberia
Links
[GitHub, Google Scholar, CV, LinkedIn, Research Gate]
Selected Papers
Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials
M. Zhdanov, V. Kurenkov
International Conference on Machine Learning (ICML) GenBio Workshop, 2025
[PDF, ArXiv,
Code]
Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
M. Zhdanov, S. Dereka, S. Kolesnikov
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025 (previosuly AAAI 2024 Deployable AI Workshop)
[PDF, ArXiv, Poster,
Code]
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
S. Dereka, I. Karpukhin, M. Zhdanov, S. Kolesnikov
IEEE International Conference on Image Processing (ICIP), 2024
[PDF, ArXiv,
Code]
Machine learning-assisted close-set X-ray diffraction phase identification of transition metals
M. Zhdanov, A. Zhdanov
International Conference on Learning Representations (ICLR) ML4Materials Workshop, 2023
[PDF, ArXiv,
Poster, Code]
Invited Talks
2024, Research4Kids CIS trip (7 citites).
2023, MISIS.
2023, Tinkoff STEM University.
News
06/2025: Phi-Module was accepted at The 2nd Workshop on Generative AI and Biology (ICML 2025)!
05/2025: Our new pre-print on the electrostatics for neural network interatomic potentials is available.
04/2025: I'm attending ICLR 2025 in Singapore!
11/2024: Our new paper on identity curvature Laplace approximation is accepted to WACV 2024!
Meet us in Tucson, Arizona in February!
09/2024: I'm joining AIRI to work on multidisciplinary problems of AI! Stay tuned for new updates!
06/2024: Our paper on the diversification of deep ensembles is accepted to IEEE ICIP 2024!
Meet us in Adu Dhabi in October!
04/2024: I've just deadlifted 200 KG!
04/2024: We've visited 7 cities of CIS with our research talks.
02/2024: I'm joining Tinkoff Research as a Research Scientist!
12/2023: Our paper on Laplace approximation is accepted to AAAI 2024 DAI Workshop. Stay tuned for updates!
10/2023: I gave a talk about our paper on deep ensembles in MISIS (in Russian).
10/2023: Pre-print of our paper on the diversification of deep ensembles is available.
07/2023: I gave a talk on the presentation day of Tinkoff STEM University.
06/2023: Pre-print of our paper on image retrieval generalization is available.
04/2023: MISIS media highlighted our paper.
03/2023: Our paper on machine learning for X-Ray diffraction is accepted to ICLR 2023
ML4Materials workshop.
01/2023: I'm starting my research internship at Tinkoff AI Lab.
09/2022: I'm starting my undegraduate studies at MISIS university!
