LANISTR: Multimodal learning from structured and unstructured data
LANISTR is a new framework that enables multimodal learning by ingesting unstructured (image, text) and structured (time series, tabular) data, performing alignment and fusion, and ultimately generating class predictions.
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Marcio Pacheco
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LANISTR: Multimodal learning from structured and unstructured data
Data Alchemy
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