16 citations · 16 across the 2 of their papers we have counts for
6 papers
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…
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…
Generating Diverse and Meaningful Captions
Annika Lindh, Robert J. Ross, Abhijit Mahalunkar +2
Image Captioning is a task that requires models to acquire a multi-modal understanding of the world and to express this understanding in natural language text. While the state-of-t…
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…
On the Inability of Markov Models to Capture Criticality in Human Mobility
Vaibhav Kulkarni, Abhijit Mahalunkar, Benoit Garbinato +1
We examine the non-Markovian nature of human mobility by exposing the inability of Markov models to capture criticality in human mobility. In particular, the assumed Markovian natu…
Addressing the Free-Rider Problem in Public Transport Systems
Vaibhav Kulkarni, Bertil Chapuis, Benoît Garbinato +1
Public transport network constitutes for an indispensable part of a city by providing mobility services to the general masses. To improve ease of access and reduce infrastructural…