Isaac Reid

Graph Random Features for Scalable Gaussian Processes

Wavelet-Induced Rotary Encodings: RoPE Meets Graphs

Computationally Efficient Graph Modelling with Refined Graph Random Features

Distributional Training Data Attribution: What do Influence Functions Sample?

Linear Transformer Topological Masking with Graph Random Features

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING

Variance-Reducing Couplings for Random Features