5 citations · 7 across the 5 of their papers we have counts for
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stat.ML2023
Improving Event Time Prediction by Learning to Partition the Event Time Space
Jimmy Hickey, Ricardo Henao, Daniel Wojdyla +2
Recently developed survival analysis methods improve upon existing approaches by predicting the probability of event occurrence in each of a number pre-specified (discrete) time in…
stat.ML2023★ 1 cited
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
Boyao Li, Alexander J. Thomson, Houssam Nassif +2
Deep neural networks (DNNs) lack the precise semantics and definitive probabilistic interpretation of probabilistic graphical models (PGMs). In this paper, we propose an innovative…