18 citations · 24 across the 6 of their papers we have counts for
6 papers
FOLD: Fuzzy Online Deduplication for Very Large Evolving Datasets via Approximate Nearest Neighbor Search
Nelson Bore, Pritish Mishra, Constantin Adam +2
Fuzzy deduplication is key to constructing large language model training corpora. However, classic Locality-Sensitive Hashing (LSH) pipelines scale poorly as corpora grow and are i…
Climate Impact Modelling Framework
Blair Edwards, Paolo Fraccaro, Nikola Stoyanov +4
The application of models to assess the risk of the physical impacts of weather and climate and their subsequent consequences for society and business is of the utmost importance i…
Overcoming Digital Gravity when using AI in Public Health Decisions
Sekou L Remy, Aisha Walcott-Bryant, Nelson K Bore +2
In popular usage, Data Gravity refers to the ability of a body of data to attract applications, services and other data. In this work we introduce a broader concept, "Digital Gravi…
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network
Nelson Kibichii Bore, Ravi Kiran Raman, Isaac M. Markus +8
Policy decisions are increasingly dependent on the outcomes of simulations and/or machine learning models. The ability to share and interact with these outcomes is relevant across…
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach
Ravi Kiran Raman, Roman Vaculin, Michael Hind +6
Large-scale computational experiments, often running over weeks and over large datasets, are used extensively in fields such as epidemiology, meteorology, computational biology, an…
Reshaping the use of digital tools to fight malaria
Sekou L. Remy, Oliver Bent, Nelson Bore
In this extended abstract we present our approach to marshal digital tools in the fight against malaria. We describe our scalable infrastructure which leverages abstractions to sup…