16 citations · 25 across the 6 of their papers we have counts for
22 papers
A Swarm Variant for the Schrödinger Solver
Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya +1
This paper introduces application of the Exponentially Averaged Momentum Particle Swarm Optimization (EM-PSO) as a derivative-free optimizer for Neural Networks. It adopts PSO's ma…
Estimation and Applications of Quantiles in Deep Binary Classification
Anuj Tambwekar, Anirudh Maiya, Soma Dhavala +1
Quantile regression, based on check loss, is a widely used inferential paradigm in Econometrics and Statistics. The conditional quantiles provide a robust alternative to classical…
LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks
Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli +3
We propose a theoretical framework for an adaptive learning rate policy for the Mean Absolute Error loss function and Quantile loss function and evaluate its effectiveness for regr…
Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets
Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh +2
Rigorous mathematical investigation of learning rates used in back-propagation in shallow neural networks has become a necessity. This is because experimental evidence needs to be…
ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification
Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha +1
Inspired by chaotic firing of neurons in the brain, we propose ChaosNet -- a novel chaos based artificial neural network architecture for classification tasks. ChaosNet is built us…
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets
Snehanshu Saha, Nithin Nagaraj, Archana Mathur +1
We present analytical exploration of novel activation functions as consequence of integration of several ideas leading to implementation and subsequent use in habitability classifi…