Microbiome interventions provide valuable data about microbial ecosystem...
By linking conceptual theories with observed data, generative models can...
Spatially resolved transcriptomics (ST) measures gene expression along w...
The use of remote sensing in humanitarian crisis response missions is
we...
Concept discovery is one of the open problems in the interpretability
li...
Models that perform out-of-domain generalization borrow knowledge from
h...
Algorithmic feature learners provide high-dimensional vector representat...
Interpretability has attracted increasing attention in earth observation...
Dimensionality reduction of spatial omic data can reveal shared, spatial...
Topic modeling is a popular method used to describe biological count dat...
Cardiac Magnetic Resonance (CMR) is the most effective tool for the
asse...
Many modern datasets don't fit neatly into n × p matrices, but most
tech...
Glacier mapping is key to ecological monitoring in the hkh region. Clima...
Microscopy images are powerful tools and widely used in the majority of
...
In this work, we present the application of convolutional neural network...
Climate change is one of the greatest challenges facing humanity, and we...
Importance weighted variational inference (Burda et al., 2015) uses mult...
We present a project that aims to generate images that depict accurate,
...
Many studies have been performed to characterize the dynamics and stabil...