research
∙
06/10/2023
Microbiome Intervention Analysis with Transfer Functions and Mirror Statistics
Microbiome interventions provide valuable data about microbial ecosystem...
share
research
∙
08/11/2022
Generative Models: An Interdisciplinary Perspective
By linking conceptual theories with observed data, generative models can...
research
∙
05/19/2022
Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases
Spatially resolved transcriptomics (ST) measures gene expression along w...
research
∙
02/09/2022
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data
The use of remote sensing in humanitarian crisis response missions is we...
research
∙
02/09/2022
Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization
Concept discovery is one of the open problems in the interpretability li...
research
∙
02/04/2022
Source data selection for out-of-domain generalization
Models that perform out-of-domain generalization borrow knowledge from h...
research
∙
02/01/2022
Bootstrap Confidence Regions for Learned Feature Embeddings
Algorithmic feature learners provide high-dimensional vector representat...
research
∙
12/11/2021
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation
Interpretability has attracted increasing attention in earth observation...
research
∙
12/02/2021
Interactive Visualization of Spatial Omics Neighborhoods
Dimensionality reduction of spatial omic data can reveal shared, spatial...
research
∙
09/12/2021
Multiscale Analysis of Count Data through Topic Alignment
Topic modeling is a popular method used to describe biological count dat...
research
∙
03/15/2021
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset
Cardiac Magnetic Resonance (CMR) is the most effective tool for the asse...
research
∙
02/20/2021
Measuring the Stability of Learned Features
Many modern datasets don't fit neatly into n × p matrices, but most tech...
research
∙
12/09/2020
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Glacier mapping is key to ecological monitoring in the hkh region. Clima...
research
∙
12/17/2019
Nanoscale Microscopy Images Colourisation Using Neural Networks
Microscopy images are powerful tools and widely used in the majority of ...
research
∙
12/02/2019
Applying Knowledge Transfer for Water Body Segmentation in Peru
In this work, we present the application of convolutional neural network...
research
∙
06/10/2019
Tackling Climate Change with Machine Learning
Climate change is one of the greatest challenges facing humanity, and we...
research
∙
05/13/2019
Hierarchical Importance Weighted Autoencoders
Importance weighted variational inference (Burda et al., 2015) uses mult...
research
∙
05/02/2019
Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
We present a project that aims to generate images that depict accurate, ...
research
∙
11/30/2017
