265 citations · 725 across the 26 of their papers we have counts for
5 papers · 1 filter
SMOTified-GAN for class imbalanced pattern classification problems
Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra
Class imbalance in a dataset is a major problem for classifiers that results in poor prediction with a high true positive rate (TPR) but a low true negative rate (TNR) for a majori…
Bayesian graph convolutional neural networks via tempered MCMC
Rohitash Chandra, Ayush Bhagat, Manavendra Maharana +1
Deep learning models, such as convolutional neural networks, have long been applied to image and multi-media tasks, particularly those with structured data. More recently, there ha…
Memory Capacity of Recurrent Neural Networks with Matrix Representation
Animesh Renanse, Alok Sharma, Rohitash Chandra
It is well known that canonical recurrent neural networks (RNNs) face limitations in learning long-term dependencies which have been addressed by memory structures in long short-te…
Revisiting Bayesian Autoencoders with MCMC
Rohitash Chandra, Mahir Jain, Manavendra Maharana +1
Autoencoders gained popularity in the deep learning revolution given their ability to compress data and provide dimensionality reduction. Although prominent deep learning methods h…
Evaluation of deep learning models for multi-step ahead time series prediction
Rohitash Chandra, Shaurya Goyal, Rishabh Gupta
Time series prediction with neural networks has been the focus of much research in the past few decades. Given the recent deep learning revolution, there has been much attention in…