16 citations · 26 across the 6 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2020
Mutual Information Decay Curves and Hyper-Parameter Grid Search Design for Recurrent Neural Architectures
Abhijit Mahalunkar, John D. Kelleher
We present an approach to design the grid searches for hyper-parameter optimization for recurrent neural architectures. The basis for this approach is the use of mutual information…
cs.LG2019
Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies
Abhijit Mahalunkar, John D. Kelleher
In order to successfully model Long Distance Dependencies (LDDs) it is necessary to understand the full-range of the characteristics of the LDDs exhibited in a target dataset. In t…
cs.LG2018★ 9 cited
Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets
Abhijit Mahalunkar, John D. Kelleher
In order to build efficient deep recurrent neural architectures, it is essential to analyze the complexityof long distance dependencies (LDDs) of the dataset being modeled. In this…