29 citations · 33 across the 4 of their papers we have counts for
4 papers
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images
Kartikeya Badola, Sameer Ambekar, Himanshu Pant +5
The gold standard for COVID-19 is RT-PCR, testing facilities for which are limited and not always optimally distributed. Test results are delayed, which impacts treatment. Expert r…
Complexity Controlled Generative Adversarial Networks
Himanshu Pant, Jayadeva, Sumit Soman
One of the issues faced in training Generative Adversarial Nets (GANs) and their variants is the problem of mode collapse, wherein the training stability in terms of the generative…
Learning Neural Network Classifiers with Low Model Complexity
Jayadeva, Himanshu Pant, Mayank Sharma +5
Modern neural network architectures for large-scale learning tasks have substantially higher model complexities, which makes understanding, visualizing and training these architect…
Scalable Twin Neural Networks for Classification of Unbalanced Data
Jayadeva, Himanshu Pant, Sumit Soman +1
Twin Support Vector Machines (TWSVMs) have emerged an efficient alternative to Support Vector Machines (SVM) for learning from imbalanced datasets. The TWSVM learns two non-paralle…