3 citations · 4 across the 4 of their papers we have counts for
4 papers
Generative Medical Event Models Improve with Scale
Shane Waxler, Paul Blazek, Davis White +16
Realizing personalized medicine at scale calls for methods that distill insights from longitudinal patient journeys, which can be viewed as a sequence of medical events. Foundation…
Deep Distilling: automated code generation using explainable deep learning
Paul J. Blazek, Kesavan Venkatesh, Milo M. Lin
Human reasoning can distill principles from observed patterns and generalize them to explain and solve novel problems. The most powerful artificial intelligence systems lack explai…
CoreDiag: Eliminating Redundancy in Constraint Sets
Alexander Felfernig, Christoph Zehentner, Paul Blazek
Constraint-based environments such as configuration systems, recommender systems, and scheduling systems support users in different decision making scenarios. These environments ex…
A neural network model of perception and reasoning
Paul J. Blazek, Milo M. Lin
How perception and reasoning arise from neuronal network activity is poorly understood. This is reflected in the fundamental limitations of connectionist artificial intelligence, t…