Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling. - Anthony Tompkins; Fabio Ramos 001 (AAAI, 2018)

Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. - Ransalu Senanayake; Anthony Tompkins; Fabio Ramos 001 (CoRL, 2018)

Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels. - Anthony Tompkins; Fabio Ramos 001 (CoRR, 2018)

Black Box Quantiles for Kernel Learning. - Anthony Tompkins; Ransalu Senanayake; Philippe Morere; Fabio Ramos 001 (AISTATS, 2019)

Periodic Kernel Approximation by Index Set Fourier Series Features. - Anthony Tompkins; Fabio Ramos 001 (UAI, 2019)

Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. - Anthony Tompkins; Rafael Oliveira 001; Fabio T. Ramos 001 (NeurIPS, 2020)

Online Domain Adaptation for Occupancy Mapping. - Anthony Tompkins; Ransalu Senanayake; Fabio Ramos 001 (Robotics: Science and Systems, 2020)

Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach. - Renhao Huang; Anthony Tompkins; Maurice Pagnucco; Yang Song 001 (CoLLAs, 2023)

Multi-degradation-adaptation network for fundus image enhancement with degradation representation learning. - Ruoyu Guo; Yiwen Xu; Anthony Tompkins; Maurice Pagnucco; Yang Song 001 (Medical Image Anal., 2024)

Structure based SAT dataset for analysing GNN generalisation. - Yi Fu; Anthony Tompkins; Yang Song 001; Maurice Pagnucco (AISTATS, 2025)