41 citations · 203 across the 38 of their papers we have counts for
Showing 2017 · cs.LGShow all
3 papers · 2 filters
cs.LG2017★ 9 cited
Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck
Thanh T. Nguyen, Jaesik Choi
Information Bottleneck (IB) is a generalization of rate-distortion theory that naturally incorporates compression and relevance trade-offs for learning. Though the original IB has…
cs.LG2017★ 31 cited
Grouped Convolutional Neural Networks for Multivariate Time Series
Subin Yi, Janghoon Ju, Man-Ki Yoon +1
Analyzing multivariate time series data is important for many applications such as automated control, fault diagnosis and anomaly detection. One of the key challenges is to learn l…
cs.LG2017★ 1 cited
Make Hawkes Processes Explainable by Decomposing Self-Triggering Kernels
Rafael Lima, Jaesik Choi
Hawkes Processes capture self-excitation and mutual-excitation between events when the arrival of an event makes future events more likely to happen. Identification of such tempora…