Task-Synchronized Recurrent Neural Networks

Understand

Data are often sampled irregularly in time.

• Dealing with this using Recurrent Neural Networks (RNNs) traditionally involved ignoring the fact, feeding the time differences as additional inputs, or resampling the data.
• All these methods have their shortcomings.
• We propose an elegant straightforward alternative approach where instead the RNN is in effect resampled in time to match the time of the data or the task at hand.