4 papers · 1 filter
DRIVE: Dual Gradient-Based Rapid Iterative Pruning
Dhananjay Saikumar, Blesson Varghese
Modern deep neural networks (DNNs) consist of millions of parameters, necessitating high-performance computing during training and inference. Pruning is one solution that significa…
Exploring the Frontiers: Challenges and Theories Beyond the Standard Model
Dhananjay Saikumar
Quantum Field Theory (QFT) forms the bedrock of the Standard Model (SM) of particle physics, a powerful framework that delineates the fundamental constituents and interactions of t…
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
Dhananjay Saikumar, Blesson Varghese
Efficient on-device Convolutional Neural Network (CNN) training in resource-constrained mobile and edge environments is an open challenge. Backpropagation is the standard approach…
Quantum Tunneling Insights into the Atomic Landscapes of Graphite, Gold, and Silicon
Dhananjay Saikumar
Scanning Tunneling Microscopy (STM) is a powerful technique that utilizes quantum tunneling to visualize atomic surfaces with high precision. This study presents detailed topograph…