3 papers
cs.LG2020
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
Anthony Tompkins, Rafael Oliveira, Fabio Ramos
We establish a general form of explicit, input-dependent, measure-valued warpings for learning nonstationary kernels. While stationary kernels are ubiquitous and simple to use, the…
cs.CV2020
Online Domain Adaptation for Occupancy Mapping
Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
Creating accurate spatial representations that take into account uncertainty is critical for autonomous robots to safely navigate in unstructured environments. Although recent LIDA…
stat.ML2018
Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels
Anthony Tompkins, Fabio Ramos
Periodicity is often studied in timeseries modelling with autoregressive methods but is less popular in the kernel literature, particularly for higher dimensional problems such as…