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2020 – today
- 2024
[j1]Ruoyu Guo
, Yiwen Xu, Anthony Tompkins, Maurice Pagnucco, Yang Song:
Multi-degradation-adaptation network for fundus image enhancement with degradation representation learning. Medical Image Anal. 97: 103273 (2024)- 2023
- [c7]Renhao Huang, Anthony Tompkins, Maurice Pagnucco, Yang Song:
Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach. CoLLAs 2023: 227-243 - 2020
- [c6]Anthony Tompkins, Rafael Oliveira, Fabio T. Ramos:
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. NeurIPS 2020 - [c5]Anthony Tompkins, Ransalu Senanayake, Fabio Ramos:
Online Domain Adaptation for Occupancy Mapping. Robotics: Science and Systems 2020 - [i3]Anthony Tompkins, Ransalu Senanayake, Fabio Ramos:
Online Domain Adaptation for Occupancy Mapping. CoRR abs/2007.00164 (2020) - [i2]Anthony Tompkins, Rafael Oliveira, Fabio Ramos:
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. CoRR abs/2010.04315 (2020)
2010 – 2019
- 2019
- [c4]Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos:
Black Box Quantiles for Kernel Learning. AISTATS 2019: 1427-1437 - [c3]Anthony Tompkins, Fabio Ramos:
Periodic Kernel Approximation by Index Set Fourier Series Features. UAI 2019: 486-496 - 2018
- [c2]Anthony Tompkins, Fabio Ramos:
Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling. AAAI 2018: 4155-4162 - [c1]Ransalu Senanayake, Anthony Tompkins, Fabio Ramos:
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. CoRL 2018: 443-455 - [i1]Anthony Tompkins, Fabio Ramos:
Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels. CoRR abs/1805.04982 (2018)
Coauthor Index
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