2 citations · 5 across the 5 of their papers we have counts for
5 papers
Learning k-Determinantal Point Processes for Personalized Ranking
Yuli Liu, Christian Walder, Lexing Xie
The key to personalized recommendation is to predict a personalized ranking on a catalog of items by modeling the user's preferences. There are many personalized ranking approaches…
DualVAE: Controlling Colours of Generated and Real Images
Keerth Rathakumar, David Liebowitz, Christian Walder +2
Colour controlled image generation and manipulation are of interest to artists and graphic designers. Vector Quantised Variational AutoEncoders (VQ-VAEs) with autoregressive (AR) p…
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
Daniel D. Johnson, Daniel Tarlow, Christian Walder
Large language models show impressive results at predicting structured text such as code, but also commonly introduce errors and hallucinations in their output. When used to assist…
Sampled Transformer for Point Sets
Shidi Li, Christian Walder, Alexander Soen +2
The sparse transformer can reduce the computational complexity of the self-attention layers to , whilst still being a universal approximator of continuous sequence-to-sequenc…
Semi-Supervised Kernel PCA
Christian Walder, Ricardo Henao, Morten Mørup +1
We present three generalisations of Kernel Principal Components Analysis (KPCA) which incorporate knowledge of the class labels of a subset of the data points. The first, MV-KPCA,…