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Peter Harrington

Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction

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Apr 30, 2024
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A Practical Probabilistic Benchmark for AI Weather Models

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Jan 27, 2024
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Towards Stability of Autoregressive Neural Operators

Jun 18, 2023
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Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior

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Jun 01, 2023
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Generative Modeling of High-resolution Global Precipitation Forecasts

Oct 22, 2022
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FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators

Aug 08, 2022
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FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Feb 22, 2022
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Self-supervised similarity search for large scientific datasets

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Oct 25, 2021
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Mining for strong gravitational lenses with self-supervised learning

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Sep 30, 2021
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Fast, high-fidelity Lyman $α$ forests with convolutional neural networks

Jun 23, 2021
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