3 papers
cs.LG2026
Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks
Anushka Narayanan, Karianne J. Bergen
Explainable AI (XAI) is essential for understanding machine learning (ML) decision-making and ensuring model trustworthiness in scientific applications. Prototype-based XAI methods…
cs.LG2024
Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences
Anushka Narayanan, Karianne J. Bergen
Prototype-based methods are intrinsically interpretable XAI methods that produce predictions and explanations by comparing input data with a set of learned prototypical examples th…
cs.LG2024
Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method
Hilarie Sit, Brendan Keith, Karianne Bergen
We propose a prototype-based approach for improving explainability of softmax classifiers that provides an understandable prediction confidence, generated through stochastic sampli…