This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Our typology sorts the public into nine groups based on their political and cultural values, not their party – painting a ...

The political typology uses survey data to classify the American public into nine political groups based on responses to 30 questions about their political values and beliefs.

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

Abstract: In this article, a set-membership estimation observer is designed for Takagi–Sugeno (T-S) fuzzy 2-D systems on Roesser model. The T-S fuzzy 2-D systems have unmeasurable premise variables, ...

Update 18/06/2021: We release new high performing BiT-R50x1 models, which were distilled from BiT-M-R152x2, see this section. More details in our paper "Knowledge distillation: A good teacher is ...

DéjàView (DVLT) is a recurrent transformer for multi-view 3D reconstruction. It loops a shared block of frame/global attention with discrete depth indexing, producing per-pixel rays, depth, confidence ...