Search Results for author:
Found 3 papers, 1 papers with code
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation
Our approach enforces sparsity directly by pruning the relevance propagation for the different layers.
Identifying Drivers of Predictive Uncertainty using Variance Feature Attribution
Identifying the drivers of uncertainty complements explanations of point predictions in recognizing potential model limitations.
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data
Training sophisticated machine learning (ML) models requires large datasets that are difficult or expensive to collect for many applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
