Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: Generating continuous models from sparse measurements remains a key challenge in remote sensing due to the limited availability and high cost of dense data collection. Traditional ...