Translation Equivariant Transformer Neural Processes

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Approximately Equivariant Neural Processes

M Ashman, C Diaconu, A Weller, W Bruinsma… - arxiv preprint arxiv …, 2024 - arxiv.org
Equivariant deep learning architectures exploit symmetries in learning problems to improve
the sample efficiency of neural-network-based models and their ability to generalise …
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Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data

M Ashman, C Diaconu, E Langezaal, A Weller… - arxiv preprint arxiv …, 2024 - arxiv.org
Many important problems require modelling large-scale spatio-temporal datasets, with one
prevalent example being weather forecasting. Recently, transformer-based approaches …
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