Mahdi Kooshkbaghi

Manifold learning for parameter reduction

Ioannis G. Kevrekidis, C. W. Gear, C. William Gear, 2018, J. Comput. Phys..

Manifold learning for organizing unstructured sets of process observations.

Felix Dietrich, Erik M. Bollt, Ioannis G. Kevrekidis, 2018, Chaos.

Emergent Spaces for Coupled Oscillators

Ioannis G. Kevrekidis, Carlo R. Laing, Mahdi Kooshkbaghi, 2020, Frontiers in Computational Neuroscience.

Coarse-scale PDEs from fine-scale observations via machine learning

Constantinos I. Siettos, Konstantinos Spiliotis, Seungjoon Lee, 2019, Chaos.

On the Parameter Combinations That Matter and on Those That do Not pdf

Ioannis G. Kevrekidis, Felix Dietrich, Mahdi Kooshkbaghi, 2021, ArXiv.

Periodicity Scoring of Time Series Encodes Dynamical Behavior of the Tumor Suppressor p53

Joseph O. Deasy, Ioannis G. Kevrekidis, Mahdi Kooshkbaghi, 2021, IFAC-PapersOnLine.

Entropy production analysis for mechanism reduction

Konstantinos Boulouchos, Christos E. Frouzakis, Mahdi Kooshkbaghi, 2014 .

Manifold Learning for Bifurcation Diagram Observations

Felix Dietrich, Erik M. Bollt, Ioannis G. Kevrekidis, 2018 .