| Matérn Gaussian processes on graphs V Borovitskiy, I Azangulov, A Terenin, P Mostowsky, M Deisenroth, ... International Conference on Artificial Intelligence and Statistics, 2593-2601, 2021 | 99 | 2021 |
| Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces I Azangulov, A Smolensky, A Terenin, V Borovitskiy Journal of Machine Learning Research 25 (281), 1-51, 2024 | 19 | 2024 |
| Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces I Azangulov, A Smolensky, A Terenin, V Borovitskiy arXiv preprint arXiv:2301.13088, 2023 | 13 | 2023 |
| Linear convergence of diffusion models under the manifold hypothesis P Potaptchik, I Azangulov, G Deligiannidis arXiv preprint arXiv:2410.09046, 2024 | 2 | 2024 |
| Convergence of diffusion models under the manifold hypothesis in high-dimensions I Azangulov, G Deligiannidis, J Rousseau arXiv preprint arXiv:2409.18804, 2024 | 2 | 2024 |
| Estimation of the time of Bernoulli scheme coordinates reach the first column of Young tableau I Azangulov, G Ovechkin Funktsional'nyi Analiz i ego Prilozheniya 54 (2), 78-84, 2020 | 2* | 2020 |
| The GeometricKernels Package: Heat and Mat\'ern Kernels for Geometric Learning on Manifolds, Meshes, and Graphs P Mostowsky, V Dutordoir, I Azangulov, N Jaquier, MJ Hutchinson, ... arXiv preprint arXiv:2407.08086, 2024 | 1 | 2024 |
| Bayesian inference of covariance parameters in spectral approach to geostatistical simulation N Ismagilov, I Azangulov, V Borovitskiy, M Lifshits, P Mostowsky ECMOR XVII 2020 (1), 1-10, 2020 | 1 | 2020 |
| Power sum kernels in permutation learning I Azangulov, DA Eremeev Zapiski Nauchnykh Seminarov POMI 525, 7-21, 2023 | | 2023 |
| On power sum kernels on symmetric groups I Azangulov, V Borovitskiy, A Smolensky arXiv preprint arXiv:2211.05650, 2022 | | 2022 |
