10 citations · 11 across the 4 of their papers we have counts for
4 papers
REAct: Rational Exponential Activation for Better Learning and Generalization in PINNs
Sourav Mishra, Shreya Hallikeri, Suresh Sundaram
Physics-Informed Neural Networks (PINNs) offer a promising approach to simulating physical systems. Still, their application is limited by optimization challenges, mainly due to th…
Towards Improved Imbalance Robustness in Continual Multi-Label Learning with Dual Output Spiking Architecture (DOSA)
Sourav Mishra, Shirin Dora, Suresh Sundaram
Algorithms designed for addressing typical supervised classification problems can only learn from a fixed set of samples and labels, making them unsuitable for the real world, wher…
Confidence Conditioned Knowledge Distillation
Sourav Mishra, Suresh Sundaram
In this paper, a novel confidence conditioned knowledge distillation (CCKD) scheme for transferring the knowledge from a teacher model to a student model is proposed. Existing stat…
Supervised classification of Dermatological diseases by Deep learning
Sourav Mishra, Toshihiko Yamasaki, Hideaki Imaizumi
This paper introduces a deep-learning based efficient classifier for common dermatological conditions, aimed at people without easy access to skin specialists. We report approximat…