| Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. R Senanayake, A Tompkins, F Ramos Conference on Robot Learning, 443-455, 2018 | 26 | 2018 |
| Fourier feature approximations for periodic kernels in time-series modelling A Tompkins, F Ramos Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 25 | 2018 |
| Terrain-based path planning and following for an experimental mars rover S Potiris, A Tompkins, A Goktogan Australasian Conference on Robotics and Automation, Melbourne, 1-10, 2014 | 14 | 2014 |
| Online Domain Adaptation for Occupancy Mapping A Tompkins, R Senanayake, F Ramos Robotics: Science and Systems, 2020 | 10 | 2020 |
| Black Box Quantiles for Kernel Learning A Tompkins, R Senanayake, P Morere, F Ramos The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 9 | 2019 |
| Periodic Kernel Approximation by Index Set Fourier Series Features A Tompkins, F Ramos Conference on Uncertainty in Artificial Intelligence, 2019 | 5 | 2019 |
| Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning A Tompkins, R Oliveira, F Ramos Conference on Neural Information Processing Systems, 2020 | 4 | 2020 |
| Bayesian Spatio-Temporal Modelling with Fourier Features A Tompkins | 1 | 2018 |
| Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach R Huang, A Tompkins, M Pagnucco, Y Song Conference on Lifelong Learning Agents, 227-243, 2023 | | 2023 |
| Generalised Kernel Representations with Applications to Data Efficient Machine Learning A Tompkins | | 2023 |
| Gray-box probabilistic occupancy mapping A Tompkins, R Senanayake, F Ramos 2018 NIPS Workshop on Machine Learning for Intelligent Transportation Systems, 2018 | | 2018 |
Fabio RamosUniversity of Sydney and NVIDIAVerified email at sydney.edu.au
