41 citations · 69 across the 9 of their papers we have counts for
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stat.ML2023
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
Edmund Lau, Zach Furman, George Wang +2
The Local Learning Coefficient (LLC) is introduced as a novel complexity measure for deep neural networks (DNNs). Recognizing the limitations of traditional complexity measures, th…
eess.IV2023
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset
Hui Li, Carlos A. Pena Solorzano, Susan Wei +1
The ADMANI datasets (annotated digital mammograms and associated non-image datasets) from the Transforming Breast Cancer Screening with AI programme (BRAIx) run by BreastScreen Vic…
stat.ML2023
Variational Bayesian Neural Networks via Resolution of Singularities
Susan Wei, Edmund Lau
In this work, we advocate for the importance of singular learning theory (SLT) as it pertains to the theory and practice of variational inference in Bayesian neural networks (BNNs)…