7 citations · 8 across the 2 of their papers we have counts for
3 papers
Gaussian-boson-sampling-enhanced dense subgraph finding shows limited advantage over efficient classical algorithms
Naomi R. Solomons, Oliver F. Thomas, Dara P. S. McCutcheon
Recent claims of achieving exponential quantum advantage have attracted attention to Gaussian boson sampling (GBS), a potential application of which is dense subgraph finding. We i…
Null-sampling for Interpretable and Fair Representations
Thomas Kehrenberg, Myles Bartlett, Oliver Thomas +1
We propose to learn invariant representations, in the data domain, to achieve interpretability in algorithmic fairness. Invariance implies a selectivity for high level, relevant co…
Discovering Fair Representations in the Data Domain
Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas
Interpretability and fairness are critical in computer vision and machine learning applications, in particular when dealing with human outcomes, e.g. inviting or not inviting for a…