3 papers
cs.LG2025
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
Mansooreh Montazerin, Majd Al Aawar, Antonio Ortega +1
Symbolic regression (SR) aims to discover closed-form mathematical expressions that accurately describe data, offering interpretability and analytical insight beyond standard black…
cs.LG2025
SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space
Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava
Designing neural networks typically relies on manual trial and error or a neural architecture search (NAS) followed by weight training. The former is time-consuming and labor-inten…
cs.LG2024
Simultaneous Weight and Architecture Optimization for Neural Networks
Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava
Neural networks are trained by choosing an architecture and training the parameters. The choice of architecture is often by trial and error or with Neural Architecture Search (NAS)…