Duncan Watson-Parris

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Target Detection And Tracking

Neural Architecture

Road Extraction

Satellite Imagery

Top Venues

Mach. Learn. Sci. Technol.

Publications

Ruijia Niu, Dongxia Wu, Kai Kim, Yi-An Ma, Duncan Watson-Parris, Rose Yu
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling. CoRR (2024)
Muhammad Ahmed Chaudhry, Lyna Kim, Jeremy Irvin, Yuzu Ido, Sonia Chu, Jared Thomas Isobe, Andrew Y. Ng, Duncan Watson-Parris
CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds. CoRR (2024)
Muhammad F. Kasim, Duncan Watson-Parris, Lucia Deaconu, Sophy Oliver, Peter W. Hatfield, Dustin H. Froula, Gianluca Gregori, Matt Jarvis, Samar Khatiwala, Jun Korenaga, Jacob Topp-Mugglestone, Eleonora Viezzer, Sam M. Vinko
Building high accuracy emulators for scientific simulations with deep neural architecture search. Mach. Learn. Sci. Technol. 3 (1) (2022)
Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper
Physics-Informed Learning of Aerosol Microphysics. CoRR (2022)
Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert
Identifying the Causes of Pyrocumulonimbus (PyroCb). CoRR (2022)
Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds. CoRR (2022)
William Yik, Sam J. Silva, Andrew Geiss, Duncan Watson-Parris
Exploring Randomly Wired Neural Networks for Climate Model Emulation. CoRR (2022)
Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper
Emulating Aerosol Microphysics with Machine Learning. CoRR (2021)
Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. AAAI (2021)
Andrew Jesson, Peter Manshausen, Alyson Douglas, Duncan Watson-Parris, Yarin Gal, Philip Stier
Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific. CoRR (2021)
Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. CoRR (2020)
William K. Jones, Redouane Lguensat, Anastase Alexandre Charantonis, Duncan Watson-Parris
The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations. CI (2020)
Muhammad F. Kasim, Duncan Watson-Parris, Lucia Deaconu, Sophy Oliver, Peter Hatfield, Dustin H. Froula, Gianluca Gregori, Matt Jarvis, Samar Khatiwala, Jun Korenaga, Jacob Topp-Mugglestone, Eleonora Viezzer, Sam M. Vinko
Up to two billion times acceleration of scientific simulations with deep neural architecture search. CoRR (2020)
Paula Harder, William K. Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón, Aris Marcolongo, Sofija Stefanovic, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. CoRR (2020)
Valentina Zantedeschi, Fabrizio Falasca, Alyson Douglas, Richard Strange, Matt J. Kusner, Duncan Watson-Parris
Cumulo: A Dataset for Learning Cloud Classes. CoRR (2019)
Duncan Watson-Parris, Samuel Sutherland, Matthew Christensen, Anthony L. Caterini, Dino Sejdinovic, Philip Stier
Detecting anthropogenic cloud perturbations with deep learning. CoRR (2019)