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cs.LG2021★ 2 cited
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series
Asif Rahman, Yale Chang, Jonathan Rubin
Time series models with recurrent neural networks (RNNs) can have high accuracy but are unfortunately difficult to interpret as a result of feature-interactions, temporal-interacti…
cs.LG2019
Deep Kernel Learning for Clustering
Chieh Wu, Zulqarnain Khan, Yale Chang +2
We propose a deep learning approach for discovering kernels tailored to identifying clusters over sample data. Our neural network produces sample embeddings that are motivated by--…