100 citations · 592 across the 42 of their papers we have counts for
Showing 2020 · cs.LGShow all
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cs.LG2020★ 2 cited
HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning
Chuan Wang, Kwan-Liu Ma
Deep Recurrent Neural Networks (RNN) continues to find success in predictive decision-making with temporal event sequences. Recent studies have shown the importance and practicalit…
cs.LG2020
Network Comparison with Interpretable Contrastive Network Representation Learning
Takanori Fujiwara, Jian Zhao, Francine Chen +2
Identifying unique characteristics in a network through comparison with another network is an essential network analysis task. For example, with networks of protein interactions ob…
cs.LG2020
Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks
Chuan Wang, Xumeng Wang, Kwan-Liu Ma
Deep Recurrent Neural Networks (RNN) is increasingly used in decision-making with temporal sequences. However, understanding how RNN models produce final predictions remains a majo…