7 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
Using the Path of Least Resistance to Explain Deep Networks
Sina Salek, Joseph Enguehard
Integrated Gradients (IG), a widely used axiomatic path-based attribution method, assigns importance scores to input features by integrating model gradients along a straight path f…
Time Interpret: a Unified Model Interpretability Library for Time Series
Joseph Enguehard
We introduce $\texttt{time_interpret}$, a library designed as an extension of Captum, with a specific focus on temporal data. As such, this library implements several feature attri…
Learning Perturbations to Explain Time Series Predictions
Joseph Enguehard
Explaining predictions based on multivariate time series data carries the additional difficulty of handling not only multiple features, but also time dependencies. It matters not o…
Neural Temporal Point Processes For Modelling Electronic Health Records
Joseph Enguehard, Dan Busbridge, Adam Bozson +2
The modelling of Electronic Health Records (EHRs) has the potential to drive more efficient allocation of healthcare resources, enabling early intervention strategies and advancing…