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Duncan Watson-Parris
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2020 – today
- 2024
- [c3]Ruijia Niu, Dongxia Wu, Kai Kim, Yian Ma, Duncan Watson-Parris, Rose Yu:
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling. ICML 2024 - [i17]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 abs/2401.14486 (2024) - [i16]Ruijia Niu, Dongxia Wu, Kai Kim, Yi-An Ma, Duncan Watson-Parris
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling. CoRR abs/2402.18846 (2024) - [i15]Björn Lütjens, Raffaele Ferrari, Duncan Watson-Parris, Noelle Selin:
The impact of internal variability on benchmarking deep learning climate emulators. CoRR abs/2408.05288 (2024) - [i14]Jorge Baño-Medina, Agniv Sengupta, Allison Michaelis, Luca Delle Monache, Julie Kalansky, Duncan Watson-Parris:
Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river. CoRR abs/2409.11605 (2024) - [i13]Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick:
ClimaQA: An Automated Evaluation Framework for Climate Foundation Models. CoRR abs/2410.16701 (2024) - [i12]Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu:
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation. CoRR abs/2411.00412 (2024) - 2022
- [j1]Muhammad Firmansyah Kasim
Building high accuracy emulators for scientific simulations with deep neural architecture search. Mach. Learn. Sci. Technol. 3(1): 15013 (2022) - [i11]Paula Harder, Duncan Watson-Parris
Physics-Informed Learning of Aerosol Microphysics. CoRR abs/2207.11786 (2022) - [i10]Emiliano Díaz Salas-Porras, Kenza Tazi
Identifying the Causes of Pyrocumulonimbus (PyroCb). CoRR abs/2211.08883 (2022) - [i9]Kenza Tazi
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds. CoRR abs/2211.13052 (2022) - [i8]William Yik, Sam J. Silva, Andrew Geiss, Duncan Watson-Parris
Exploring Randomly Wired Neural Networks for Climate Model Emulation. CoRR abs/2212.03369 (2022) - 2021
- [c2]Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. AAAI 2021: 14902-14910 - [i7]Paula Harder, Duncan Watson-Parris
Emulating Aerosol Microphysics with Machine Learning. CoRR abs/2109.10593 (2021) - [i6]Andrew Jesson, Peter Manshausen, Alyson Douglas, Duncan Watson-Parris
Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific. CoRR abs/2110.15084 (2021) - 2020
- [c1]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: 134-138 - [e1]Duncan Watson-Parris, Anastase Alexandre Charantonis:
CI 2020: 10th International Conference on Climate Informatics, Virtual Event, Oxford, UK, September 23-25, 2020. ACM 2020, ISBN 978-1-4503-8848-1 [contents] - [i5]Muhammad Firmansyah Kasim, Duncan Watson-Parris
Up to two billion times acceleration of scientific simulations with deep neural architecture search. CoRR abs/2001.08055 (2020) - [i4]Paula Harder, William K. Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. CoRR abs/2011.07017 (2020) - [i3]Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. CoRR abs/2012.09670 (2020)
2010 – 2019
- 2019
- [i2]Valentina Zantedeschi, Fabrizio Falasca, Alyson Douglas, Richard Strange, Matt J. Kusner, Duncan Watson-Parris
Cumulo: A Dataset for Learning Cloud Classes. CoRR abs/1911.04227 (2019) - [i1]Duncan Watson-Parris
Detecting anthropogenic cloud perturbations with deep learning. CoRR abs/1911.13061 (2019)
Coauthor Index
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