Anthony Tompkins

13 papers A* 2A 3Misc 1Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Structure based SAT dataset for analysing GNN generalisation.
AISTATS
Yi Fu, Anthony Tompkins, Yang Song, Maurice Pagnucco
2025 J jnl
Structure based SAT dataset for analysing GNN generalisation.
CoRR
Yi Fu, Anthony Tompkins, Yang Song, Maurice Pagnucco
2024 J jnl
Multi-degradation-adaptation network for fundus image enhancement with degradation representation learning.
Medical Image Anal.
Ruoyu Guo, Yiwen Xu, Anthony Tompkins, Maurice Pagnucco, Yang Song
2023 — conf
Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach.
CoLLAs
Renhao Huang, Anthony Tompkins, Maurice Pagnucco, Yang Song
2020 — conf
Online Domain Adaptation for Occupancy Mapping.
Robotics: Science and Systems
Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
2020 J jnl
Online Domain Adaptation for Occupancy Mapping.
CoRR
Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
2020 A* conf
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning.
NeurIPS
Anthony Tompkins, Rafael Oliveira, Fabio T. Ramos
2020 J jnl
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning.
CoRR
Anthony Tompkins, Rafael Oliveira, Fabio Ramos
2019 A conf
Black Box Quantiles for Kernel Learning.
AISTATS
Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos
2019 A conf
Periodic Kernel Approximation by Index Set Fourier Series Features.
UAI
Anthony Tompkins, Fabio Ramos
2018 Misc conf
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments.
CoRL
Ransalu Senanayake, Anthony Tompkins, Fabio Ramos
2018 A* conf
Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling.
AAAI
Anthony Tompkins, Fabio Ramos
2018 J jnl
Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels.
CoRR
Anthony Tompkins, Fabio Ramos