| Information entropy initialized concrete autoencoder for optimal sensor placement and reconstruction of geophysical fields N Turko, A Lobashev, K Ushakov, M Kaurkin, R Ibrayev Russian Supercomputing Days, 167-184, 2022 | 3 | 2022 |
| Concrete autoencoder for the reconstruction of sea temperature field from sparse measurements AA Lobashev, NA Turko, KV Ushakov, MN Kaurkin, RA Ibrayev Journal of Marine Science and Engineering 11 (2), 404, 2023 | 2 | 2023 |
| Diffusion-based inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motion A Lobashev, K Polovnikov arXiv preprint arXiv:2404.07029, 2024 | | 2024 |
| Global Ocean Forecast Accuracy Improvement Due to Optimal Sensor Placement T N. A., L A. A., U K. V., K M. N., K L. Y., S S. A., I R. A. Russian Journal of Earth Sciences 23 (6), from 1 to 21, 2023 | | 2023 |
| Computing Partition Functions in Unnormalized Density Models Using Bayesian Thermodynamic Integration A Lobashev, M Tamm Machine Learning and the Physical Sciences, Workshop at the 37th conference …, 2023 | | 2023 |
| On the Generalization of Deep Neural Networks for Optimal Sensor Placement in Global Ocean Forecasting A Lobashev, N Turko, K Ushakov, M Kaurkin, R Ibrayev The Symbiosis of Deep Learning and Differential Equations III, Workshop at …, 2023 | | 2023 |
| Counting Phases and Faces Using Bayesian Thermodynamic Integration A Lobashev, MV Tamm arXiv preprint arXiv:2206.07494, 2022 | | 2022 |
| Conformational Entropy Estimation of a Non-Markovian Random Walk by Autoregressive Generative Modeling AA Lobashev, MV Tamm The 46th International Conference of the Middle European Cooperation in …, 2021 | | 2021 |
| Contrastive Learning Approach for Phase Diagram Construction of the Random Walk Model with Volume and Surface Reinforcement A Lobashev, M Tamm Conference on Complex Systems, 2020 | | 2020 |
Mikhail TammERA Chair in Cultural Data Analytics, Tallinn University, EstoniaVerified email at tlu.ee
