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Found 3 papers, 1 papers with code
On the Expressiveness, Predictability and Interpretability of Neural Temporal Point Processes
Despite the fast advance in neural temporal point processes (NTPP) which enjoys high model capacity, there are still some standing gaps to fill including model expressiveness, predictability, and interpretability, especially with the wide application of event sequence modeling.
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
Time-series is ubiquitous across applications, such as transportation, finance and healthcare.
Do RNN and LSTM have Long Memory?
The LSTM network was proposed to overcome the difficulty in learning long-term dependence, and has made significant advancements in applications.
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