The generative AI revolution in recent years has been spurred by an expa...
High-quality estimates of uncertainty and robustness are crucial for num...
Genome-wide association studies (GWAS) require accurate cohort phenotypi...
ML models often exhibit unexpectedly poor behavior when they are deploye...
Covariate shift has been shown to sharply degrade both predictive accura...
The use of black-box optimization for the design of new biological seque...
Modern machine learning methods including deep learning have achieved gr...
TensorFlow.js is a library for building and executing machine learning
a...
Peer review is the foundation of scientific publication, and the task of...
We introduce the BriarPatch, a pixel-space intervention that obscures
se...
When confronted with a substance of unknown identity, researchers often
...
There is a perceived trade-off between machine learning code that is eas...
Modern machine learning systems such as image classifiers rely heavily o...
The recent successes of deep learning have led to a wave of interest fro...
Developers of text-to-speech synthesizers (TTS) often make use of human
...