KiLearn

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KiLearn

KiLearn

Project name: KiLearn - Kinetic equations and Learning control Project reference: PID2020-112617GB-C22 AEI: PID2020-112617GB-C22/AEI/10.13039/501100011033 KiLearn Funding source: MINECO, Ministerio de Ciencia e Innovación Duration: September 2021 - September 2024 Principal…

Last Publications

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

Fourier series and sidewise control of 1-d waves

Stability and Convergence of a Randomized Model Predictive Control Strategy

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
Fourier series and sidewise control of 1-d waves
Uniform Turnpike Property and Singular Limits

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
Fourier series and sidewise control of 1-d waves
Uniform Turnpike Property and Singular Limits

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