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J. Scott Hosking

4 papers here

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • physics.comp-ph1
  • stat.ML1
ORCID 0000-0002-3646-3504

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedAutoregressive Conditional Neural Processes

3 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 1 cited

Sea ice detection using concurrent multispectral and synthetic aperture radar imagery

Martin S J Rogers, Maria Fox, Andrew Fleming +3

Synthetic Aperture Radar (SAR) imagery is the primary data type used for sea ice mapping due to its spatio-temporal coverage and the ability to detect sea ice independent of cloud…

physics.comp-ph2023★ 3 cited

Multi-fidelity experimental design for ice-sheet simulation

Pierre Thodoroff, Markus Kaiser, Rosie Williams +5

Computer simulations are becoming an essential tool in many scientific fields from molecular dynamics to aeronautics. In glaciology, future predictions of sea level change require…

stat.ML2023★ 3 cited

Autoregressive Conditional Neural Processes

Wessel P. Bruinsma, Stratis Markou, James Requiema +6

Conditional neural processes (CNPs; Garnelo et al., 2018a) are attractive meta-learning models which produce well-calibrated predictions and are trainable via a simple maximum like…

cs.LG2021

Convolutional conditional neural processes for local climate downscaling

Anna Vaughan, Will Tebbutt, J. Scott Hosking +1

A new model is presented for multisite statistical downscaling of temperature and precipitation using convolutional conditional neural processes (convCNPs). ConvCNPs are a recently…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.