1 citations · 1 across the 3 of their papers we have counts for
3 papers
LyAm: Robust Non-Convex Optimization for Stable Learning in Noisy Environments
Elmira Mirzabeigi, Sepehr Rezaee, Kourosh Parand
Training deep neural networks, particularly in computer vision tasks, often suffers from noisy gradients and unstable convergence, which hinder performance and generalization. In t…
BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations
Elmira Mirzabeigi, Rezvan Salehi, Kourosh Parand
BridgeNet is a novel hybrid framework that integrates convolutional neural networks with physics-informed neural networks to efficiently solve non-linear, high-dimensional Fokker-P…
Designing of knowledge-based potentials via B-spline basis functions for native proteins detection
Elmira Mirzabeigi, Saeed Mortezazadeh, Rezvan Salehi +1
Knowledge-based potentials were developed to investigate the differentiation of native structures from their decoy sets. This work presents the construction of two different distan…