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Found 5 papers, 2 papers with code
Rescuing referral failures during automated diagnosis of domain-shifted medical images
Here, we address a fundamental challenge with selective classification during automated diagnosis with domain-shifted medical images.
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
We also show that our solutions work well with other types of generative models (generative flows and variational autoencoders) and that their efficacy is governed by each model's reliance on local dependencies.
Robust outlier detection by de-biasing VAE likelihoods
Likelihoods computed by deep generative models (DGMs) are a candidate metric for outlier detection with unlabeled data.
Infra-slow brain dynamics as a marker for cognitive function and decline
Functional magnetic resonance imaging (fMRI) enables measuring human brain activity, in vivo.
Mapping distinct timescales of functional interactions among brain networks
First, we show, with simulated fMRI data, that instantaneous and lag-based GC identify distinct timescales and complementary patterns of functional connectivity.
