3 papers
cs.LG2024
Deep Clustering using Dirichlet Process Gaussian Mixture and Alpha Jensen-Shannon Divergence Clustering Loss
Kart-Leong Lim
Deep clustering is an emerging topic in deep learning where traditional clustering is performed in deep learning feature space. However, clustering and deep learning are often mutu…
cs.CV2024
Deep clustering using adversarial net based clustering loss
Kart-Leong Lim
Deep clustering is a recent deep learning technique which combines deep learning with traditional unsupervised clustering. At the heart of deep clustering is a loss function which…
cs.LG2024
Boundary-Decoder network for inverse prediction of capacitor electrostatic analysis
Kart-Leong Lim, Rahul Dutta, Mihai Rotaru
Traditional electrostatic simulation are meshed-based methods which convert partial differential equations into an algebraic system of equations and their solutions are approximate…