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John D. Kelleher

Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures
Using formal grammars to test ability of recurrent neural networks to model long-distance dependencies in sequential data
Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies
Using Entropy and Information Theory to Analyse Human Mobility Behavior in a City
Examining the Limits of Predictability of Human Mobility
On the Inability of Markov Models to Capture Criticality in Human Mobility
Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance
Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets
Generating Diverse and Meaningful Captions
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures