5 citations · 12 across the 8 of their papers we have counts for
4 papers · 1 filter
Domain-agnostic and Multi-level Evaluation of Generative Models
Girmaw Abebe Tadesse, Jannis Born, Celia Cintas +4
While the capabilities of generative models heavily improved in different domains (images, text, graphs, molecules, etc.), their evaluation metrics largely remain based on simplifi…
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys
Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman +1
Existing datasets available to address crucial problems, such as child mortality and family planning discontinuation in developing countries, are not ample for data-driven approach…
Preservation of Anomalous Subgroups On Machine Learning Transformed Data
Samuel C. Maina, Reginald E. Bryant, William O. Goal +3
In this paper, we investigate the effect of machine learning based anonymization on anomalous subgroup preservation. In particular, we train a binary classifier to discover the mos…
Subset Scanning Over Neural Network Activations
Skyler Speakman, Srihari Sridharan, Sekou Remy +2
This work views neural networks as data generating systems and applies anomalous pattern detection techniques on that data in order to detect when a network is processing an anomal…