Do we need anisotropic graph neural networks? SA Tailor, FL Opolka, P Lio, ND Lane arXiv preprint arXiv:2104.01481, 2021 | 33 | 2021 |
Spatio-temporal deep graph infomax FL Opolka, A Solomon, C Cangea, P Veličković, P Liņ, RD Hjelm ICLR 2019 Workshop on Representation Learning on Graphs and Manifolds, 2019 | 31 | 2019 |
Adaptive gaussian processes on graphs via spectral graph wavelets F Opolka, YC Zhi, P Lio, X Dong International Conference on Artificial Intelligence and Statistics, 4818-4834, 2022 | 17 | 2022 |
Learning mobility flows from urban features with spatial interaction models and neural networks G Yeghikyan, FL Opolka, M Nanni, B Lepri, P Lio 2020 IEEE International Conference on Smart Computing (SMARTCOMP), 57-64, 2020 | 17 | 2020 |
Graph convolutional Gaussian processes for link prediction FL Opolka, P Liņ arXiv preprint arXiv:2002.04337, 2020 | 14 | 2020 |
Adaptive filters and aggregator fusion for efficient graph convolutions SA Tailor, FL Opolka, P Lio, ND Lane arXiv preprint arXiv:2104.01481, 2021 | 12 | 2021 |
Approximate latent force model inference JD Moss, FL Opolka, B Dumitrascu, P Lió arXiv preprint arXiv:2109.11851, 2021 | 5 | 2021 |
Bayesian link prediction with deep graph convolutional gaussian processes F Opolka, P Lio International Conference on Artificial Intelligence and Statistics, 4835-4852, 2022 | 4 | 2022 |
Graph classification Gaussian processes via spectral features FL Opolka, YC Zhi, P Liņ, X Dong Uncertainty in Artificial Intelligence, 1575-1585, 2023 | 1 | 2023 |
Meta-Learning Nonlinear Dynamical Systems with Deep Kernels J Moss, F Opolka, J England, P Lio | | 2023 |
Graph Neural Stochastic Differential Equations R Bergna, F Opolka, P Liņ, JM Hernandez-Lobato arXiv preprint arXiv:2308.12316, 2023 | | 2023 |
Meta-Learning Deep Kernels for Latent Force Inference J Moss, F Opolka, J England, P Lió 1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023 | | 2023 |
Transductive Kernels for Gaussian Processes on Graphs YC Zhi, FL Opolka, YC Ng, P Liņ, X Dong arXiv preprint arXiv:2211.15322, 2022 | | 2022 |
Improving Generalisation in Multi-Output Gaussian Processes for Time Series Prediction F Opolka, W Bruinsma, Y Wu, P Lio, E Perim 18th International Workshop on Mining and Learning with Graphs, 2022 | | 2022 |
Ferienakademie Sarntal 2017 Course 1 The Probabilistic Method F Opolka, S Albers, R Wanka | | 2017 |
Ensemble Learning PD Mining, F Opolka | | |