1 citations · 2 across the 3 of their papers we have counts for
4 papers
PLSP (Pre-hoc Liminal Space Profiling): OOD Prediction over Detection -- An Anticipatory Approach for Machine Learning Model Reliability
Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman +1
Out-of-Distribution (OOD) data poses a significant threat to machine learning models, often leading to model failure during deployment. All existing OOD detection methods are post-…
Activation Functions: Dive into an optimal activation function
Vipul Bansal
Activation functions have come up as one of the essential components of neural networks. The choice of adequate activation function can impact the accuracy of these methods. In thi…
Classical Simulation of Variational Quantum Classifiers using Tensor Rings
Dheeraj Peddireddy, Vipul Bansal, Vaneet Aggarwal
In recent times, Variational Quantum Circuits (VQC) have been widely adopted to different tasks in machine learning such as Combinatorial Optimization and Supervised Learning. With…
Computational Models for Academic Performance Estimation
Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman
Evaluation of students' performance for the completion of courses has been a major problem for both students and faculties during the work-from-home period in this COVID pandemic s…