research
∙
06/30/2023
On Numerical Methods for Stochastic SINDy
The Sparse Identification of Nonlinear Dynamics (SINDy) algorithm can be...
share
research
∙
02/17/2023
On Equivalent Optimization of Machine Learning Methods
At the core of many machine learning methods resides an iterative optimi...
research
∙
09/14/2022
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory
Iterative algorithms are of utmost importance in decision and control. W...
research
∙
10/28/2021
An Operator Theoretic Perspective on Pruning Deep Neural Networks
The discovery of sparse subnetworks that are able to perform as well as ...
research
∙
12/21/2020
Predicting the Critical Number of Layers for Hierarchical Support Vector Regression
Hierarchical support vector regression (HSVR) models a function from dat...
research
∙
11/16/2020
Modeling, Reduction, and Control of a Helically Actuated Inertial Soft Robotic Arm via the Koopman Operator
Soft robots promise improved safety and capability over rigid robots whe...
research
∙
06/21/2020
Applications of Koopman Mode Analysis to Neural Networks
We consider the training process of a neural network as a dynamical syst...
research
∙
04/29/2020
Search strategy in a complex and dynamic environment: the MH370 case
Search and detection of objects on the ocean surface is a challenging ta...
research
∙
11/30/2018
