2025
| | | Gaussian Processes on Lie Groups and their Homogeneous Spaces Workshop on Lie groups and symmetry for ML and DL, Alan Turing Institute | |
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| | | Gaussian Vector Fields on Manifolds and Graphs Uncertainty in multivariate, non-Euclidean and functional spaces: theory and practice |
2024
| | | HEC-DSA, Université de Lausanne | |
| | | Geometric Probabilistic Models CVLab, EPFL | |
| | | Tutorial: Geometric Probabilistic Models The Conference on Uncertainty in Artificial Intelligence (UAI 2024) |
2023
| | | Data to Actionable Knowledge Lab, Harvard University | |
| | | Université Grenoble Alpes & INRIA & CNRS | |
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| | | University of Stuttgart | |
| | | TU Munich | |
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| | | TU Wien | |
| | | University of Vienna | |
| | | TU Delft | |
| | | University of Amsterdam | |
| | | Università della Svizzera italiana | |
| | | University of Tübingen | |
| | | University of Bern | |
| | | University of Freiburg, Machine Learning Lab | |
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| | | University of Cambridge, CBL Lab, Cambridge Ellis Unit Seminar Series | |
| | | Imperial College London | |
| | | University College London, Statistical Machine Learning Group |
2022
2021
2020
| | | Gaussian Random Fields in Machine Learning | |
| | | Huawei Russian Wireless Workshop 2020 | |
| | | Gaussian Processes in Machine Learning [In Russian] Chebyshev Laboratory Student Colloquium | |
| | | Laplacian Eigenmaps Algorithm for Dimensionality Reduction [In Russian] | |
| | | Basic Methods of Dimensionality Reduction: PCA and Kernel PCA [In Russian] |