3 papers
cs.LG2026
Sequential Learning and Catastrophic Forgetting in Differentiable Resistor Networks
Maniru Ibrahim
Differentiable physical networks provide a simple setting in which learning can be studied through the interaction between trainable parameters and physical equilibrium constraints…
cs.GR2024
Improving multidimensional projection quality with user-specific metrics and optimal scaling
Maniru Ibrahim
The growing prevalence of high-dimensional data has fostered the development of multidimensional projection (MP) techniques, such as t-SNE, UMAP, and LAMP, for data visualization a…
cs.CV2024
A new visual quality metric for Evaluating the performance of multidimensional projections
Maniru Ibrahim, Thales Vieira
Multidimensional projections (MP) are among the most essential approaches in the visual analysis of multidimensional data. It transforms multidimensional data into two-dimensional…