Latest

• Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs and Applications
• Deep Neural Networks: Multi-Classification and Universal Approximation
• Optimized classification with neural odes via separability
• Approximate and Weighted Data Reconstruction Attack in Federated Learning
• Random Batch Method (RBM) and Model Predictive Control (MPC) for Converter-Dominated Power Systems
• DyCMaMod
• CoDeFeL. Control for Deep and Federated Learning
• Interplay between depth and width for interpolation in neural ODEs
• Exponential convergence to steady-states for trajectories of a damped dynamical system modelling adhesive strings
• FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning