research
∙
06/15/2023
Tree Variational Autoencoders
We propose a new generative hierarchical clustering model that learns a ...
share
research
∙
05/31/2023
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss
Spurious correlations are everywhere. While humans often do not perceive...
research
∙
06/30/2022
Interpretable Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models
We propose a novel anomaly detection method for echocardiogram videos. T...
research
∙
03/24/2022
Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms
Pulmonary hypertension (PH) in newborns and infants is a complex conditi...
research
∙
03/03/2022
Learning Selection Bias and Group Importance: Differentiable Reparameterization for the Hypergeometric Distribution
Partitioning a set of elements into a given number of groups of a priori...
research
∙
06/11/2021
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Constrained clustering has gained significant attention in the field of ...
research
∙
10/03/2019
