52 citations · 52 across the 2 of their papers we have counts for
2 papers
cs.HC2024
VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
Donald Bertucci, Alex Endert
Variational Autoencoders are widespread in Machine Learning, but are typically explained with dense math notation or static code examples. This paper presents VAE Explainer, an int…
cs.HC2023★ 52 cited
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
Ángel Alexander Cabrera, Erica Fu, Donald Bertucci +4
Machine learning models with high accuracy on test data can still produce systematic failures, such as harmful biases and safety issues, when deployed in the real world. To detect…