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Duncan Watson-Parris

Discovering Latent Structural Causal Models from Spatio-Temporal Data

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Nov 08, 2024
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Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation

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Nov 01, 2024
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ClimaQA: An Automated Evaluation Framework for Climate Foundation Models

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Oct 22, 2024
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Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river

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Sep 17, 2024
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The impact of internal variability on benchmarking deep learning climate emulators

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Aug 09, 2024
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Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling

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Feb 29, 2024
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CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds

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Jan 25, 2024
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FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation

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Jul 14, 2023
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Exploring Randomly Wired Neural Networks for Climate Model Emulation

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Dec 09, 2022
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Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds

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Nov 22, 2022
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