research
∙
07/27/2023
Med-Flamingo: a Multimodal Medical Few-shot Learner
Medicine, by its nature, is a multifaceted domain that requires the synt...
share
research
∙
01/28/2023
Zero-shot causal learning
Predicting how different interventions will causally affect a specific i...
research
∙
07/12/2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning
Despite decades of clinical research, sepsis remains a global public hea...
research
∙
02/15/2021
Topological Graph Neural Networks
Graph neural networks (GNNs) are a powerful architecture for tackling gr...
research
∙
07/02/2020
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Randomized controlled trials typically analyze the effectiveness of trea...
research
∙
05/25/2020
Path Imputation Strategies for Signature Models
The signature transform is a 'universal nonlinearity' on the space of co...
research
∙
09/26/2019
Set Functions for Time Series
Despite the eminent successes of deep neural networks, many architecture...
research
∙
06/03/2019
Topological Autoencoders
We propose a novel approach for preserving topological structures of the...
research
∙
04/16/2019
Machine learning for early prediction of circulatory failure in the intensive care unit
Intensive care clinicians are presented with large quantities of patient...
research
∙
02/05/2019
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis
Motivation: Sepsis is a life-threatening host response to infection asso...
research
∙
12/23/2018