2 citations · 2 across the 3 of their papers we have counts for
3 papers
Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data
Sai Pradeep Chakka, Sunil Kumar Vengalil, Neelam Sinha
Timeseries classification as stochastic (noise-like) or non-stochastic (structured), helps understand the underlying dynamics, in several domains. Here we propose a two-legged matr…
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks
Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha
Success of deep neural networks in diverse tasks across domains of computer vision, speech recognition and natural language processing, has necessitated understanding the dynamics…
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks
Sunil Kumar Vengalil, Neelam Sinha
Deep neural networks have become the default choice for many applications like image and video recognition, segmentation and other image and video related tasks.However, a critical…