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Felix L. Opolka
Felix L. Opolka
Graduate Student, University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Spatio-temporal deep graph infomax
FL Opolka, A Solomon, C Cangea, P Veličković, P Liò, RD Hjelm
ICLR 2019 Workshop on Representation Learning on Graphs and Manifolds, 2019
172019
Adaptive filters and aggregator fusion for efficient graph convolutions
SA Tailor, FL Opolka, P Lio, ND Lane
arXiv preprint arXiv:2104.01481, 2021
92021
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
92020
Graph convolutional gaussian processes for link prediction
FL Opolka, P Liò
arXiv preprint arXiv:2002.04337, 2020
82020
Do We Need Anisotropic Graph Neural Networks?
SA Tailor, F Opolka, P Lio, ND Lane
International Conference on Learning Representations, 2021
72021
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
F Opolka, YC Zhi, P Liò, X Dong
International Conference on Artificial Intelligence and Statistics, 4818-4834, 2022
32022
Approximate Latent Force Model Inference
J Moss, F Opolka, B Dumitrascu, P Lió
arXiv preprint arXiv:2109.11851, 2021
12021
Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks** To appear in the Proceedings of 2020 IEEE International Conference on Smart …
G Yeghikyan, FL Opolka, M Nanni, B Lepri, P Liò
SMARTCOMP, 57-64, 2020
12020
Transductive Kernels for Gaussian Processes on Graphs
YC Zhi, FL Opolka, YC Ng, P Liò, X Dong
arXiv preprint arXiv:2211.15322, 2022
2022
Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes
F Opolka, P Lió
International Conference on Artificial Intelligence and Statistics, 4835-4852, 2022
2022
Ferienakademie Sarntal 2017 Course 1 The Probabilistic Method
F Opolka, S Albers, R Wanka
2017
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, 0
Ensemble Learning
PD Mining, F Opolka
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Articles 1–13