79 citations · 218 across the 30 of their papers we have counts for
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cs.LG2021★ 4 cited
Deep Explicit Duration Switching Models for Time Series
Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle +5
Many complex time series can be effectively subdivided into distinct regimes that exhibit persistent dynamics. Discovering the switching behavior and the statistical patterns in th…
cs.LG2021★ 2 cited
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning
Kaiqi Chen, Yong Lee, Harold Soh
This work focuses on learning useful and robust deep world models using multiple, possibly unreliable, sensors. We find that current methods do not sufficiently encourage a shared…
cs.AI2021★ 1 cited
Embedding Symbolic Temporal Knowledge into Deep Sequential Models
Yaqi Xie, Fan Zhou, Harold Soh
Sequences and time-series often arise in robot tasks, e.g., in activity recognition and imitation learning. In recent years, deep neural networks (DNNs) have emerged as an effectiv…