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Conor Rosato

10 papers hereh-index 468 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author2

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • stat.AP5
  • stat.ML4
  • q-bio.PE1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedEfficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters

22 citations · 31 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

stat.AP2021

Fusing Low-Latency Data Feeds with Death Data to Accurately Nowcast COVID-19 Related Deaths

Conor Rosato, Robert E. Moore, Matthew Carter +3

The emergence of the novel coronavirus (COVID-19) has generated a need to quickly and accurately assemble up-to-date information related to its spread. While it is possible to use…

stat.AP2021★ 9 cited

Refining Epidemiological Forecasts with Simple Scoring Rules

R. E. Moore, C. Rosato, S. Maskell

Estimates from infectious disease models have constituted a significant part of the scientific evidence used to inform the response to the COVID-19 pandemic in the UK. These estima…

stat.ML2021★ 22 cited

Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters

Conor Rosato, Vincent Beraud, Paul Horridge +2

It has been widely documented that the sampling and resampling steps in particle filters cannot be differentiated. The {\itshape reparameterisation trick} was introduced to allow t…

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