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Entropic Riemannian Neural Optimal Transport
Many machine learning problems involve data supported on curved spaces such as spheres, rotation groups, hyperbolic spaces, and general …
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Riemannian Neural Optimal Transport
Computational optimal transport (OT) offers a principled framework for generative modeling. Neural OT methods, which use neural …
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Transmission Networks and Intervention Effects From SARS-CoV-2 Genomic and Social Network Data in Denmark
Decision-making by governments during disease outbreaks is increasingly reliant on large-scale pathogen genomics and detailed …
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Development and validation of early warning scores predicting 24-hour mortality addressing intercurrent medical interventions: a multi-centre retrospective cohort study of 2·08 million hospital encounters
Summary Background The National Early Warning Score (NEWS) is widely used to predict patient deterioration, but retrospective …
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Estimating the worst-case scenario for malaria parasite rate in sub-Saharan Africa
Abstract Malaria remains a leading cause of morbidity and mortality worldwide, with sub-Saharan Africa bearing the highest burden. …
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Generalised Bayesian distance-based phylogenetics for the genomics era
As whole genomes become widely available, maximum likelihood and Bayesian phylogenetic methods are demonstrating their limits in …
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Configurable Multilingual ASR with Speech Summary Representations
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Climate Change and Malaria: A Call for Robust Analytics
Mosquito ecology and behavior and malaria parasite development display marked sensitivity to weather, in particular to temperature and …
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Modelling the impact of vaccination on SARS-CoV-2 transmission in England
Abstract While the efficacy of SARS-CoV-2 vaccination against severe disease and mortality is well-established, its impact on …
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A Systems Level Explanation for Gompertzian Mortality Patterns is provided by the “Multiple and Inter-dependent Component Cause Model”
Abstract Understanding and facilitating healthy aging has become a major goal in medical research and it is becoming increasingly …
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