5 papers
Hybrid Parallel Bessel KAN Model: a Kolmogorov Arnold Network: integrated framework for developing a novel architecture to reconstruct the fused-basis approach via a parameter free quadratic interaction
Mintu Pathak, Meshv Patel, Mohendra Roy +1
The Kolmogorov-Arnold Network (KAN) challenges traditional MLPs by placing learnable activation functions on network edges. However, scaling KANs to spatial data exposes limitation…
CI-JEPA: A Counterfactual Analysis of Latent Representations in Joint-Embedding Predictive Architectures for Self-Supervised Learning
Mintu Dutta, Ritesh Vyas, Mohendra Roy *
Self-supervised visual representation learning learns useful features without manual annotations during representation training. The image-based joint-embedding predictive architec…
Hardware-Efficient FPGA Implementation of Sigmoid Function Using Mixed-Radix Hyperbolic Rotation CORDIC
Chintan Panchal, Ankur Changela, Mohendra Roy
Efficient hardware implementation of nonlinear activation functions is a crucial task in deploying artificial neural networks on resource-constrained and edge devices such as Field…
From Alignment to Prediction: A Study of Self-Supervised Learning and Predictive Representation Learning
Mintu Dutta, Ritesh Vyas, Mohendra Roy
Self-supervised learning has emerged as a major technique for the task of learning from unlabeled data, where the current methods mostly revolve around alignment of representations…
Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis
Rut Pate, Snehal Rajput, Mehul S. Raval +2
Gliomas, among the most common primary brain tumors, vary widely in aggressiveness, prognosis, and histology, making treatment challenging due to complex and time-intensive surgica…