97 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of the WitwatersrandZA3 papers
- University of Cape TownZA2 papers
- African Institute for Mathematical SciencesZA1 paper
- Carnegie Mellon UniversityUS1 paper
- City, University of LondonGB1 paper
- Deloitte (United States)US1 paper
- IBM Research - Thomas J. Watson Research CenterUS1 paper
- IBM (United States)US1 paper
- London Institute for Mathematical SciencesGB1 paper
- Nankai UniversityCN1 paper
- National Institute for Theoretical PhysicsZA1 paper
- Royal Institution of Great BritainGB1 paper
7 papers
Localizing Persona Representations in LLMs
Celia Cintas, Miriam Rateike, Erik Miehling +2
We present a study on how and where personas -- defined by distinct sets of human characteristics, values, and beliefs -- are encoded in the representation space of large language…
Surrogate Ensemble Forecasting for Dynamic Climate Impact Models
Julian Kuehnert, Deborah McGlynn, Sekou L. Remy +2
As acute climate change impacts weather and climate variability, there is increased demand for robust climate impact model predictions from which forecasts of the impacts can be de…
Representation of the Fermionic Boundary Operator
Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh +4
The boundary operator is a linear operator that acts on a collection of high-dimensional binary points (simplices) and maps them to their boundaries. This boundary map is one of th…
The Effect of Noise on the Performance of Variational Algorithms for Quantum Chemistry
Waheeda Saib, Petros Wallden, Ismail Akhalwaya
Variational quantum algorithms are suitable for use on noisy quantum systems. One of the most important use-cases is the quantum simulation of materials, using the variational quan…
Narratives and Counternarratives on Data Sharing in Africa
Rediet Abebe, Kehinde Aruleba, Abeba Birhane +4
As machine learning and data science applications grow ever more prevalent, there is an increased focus on data sharing and open data initiatives, particularly in the context of th…
DeepSource: Point Source Detection using Deep Learning
A. Vafaei Sadr, Etienne. E. Vos, Bruce A. Bassett +3
Point source detection at low signal-to-noise is challenging for astronomical surveys, particularly in radio interferometry images where the noise is correlated. Machine learning i…
Sequential Quantiles via Hermite Series Density Estimation
Michael Stephanou, Melvin Varughese, Iain Macdonald
Sequential quantile estimation refers to incorporating observations into quantile estimates in an incremental fashion thus furnishing an online estimate of one or more quantiles at…