4 citations · 5 across the 7 of their papers we have counts for
8 papers
Dynamics to decision: A mathematical theory of Lyapunov spectra and decision boundaries in deep classifiers
Shirin Panahi, Amirhossein Nazerian, Ali Pezeshki
A deep classifier is defined not only by the decision it produces, but also by the sequence of transformations through which that decision is formed. Treating this evolution as a d…
Vestibular reservoir computing
Smita Deb, Shirin Panahi, Mulugeta Haile +1
Reservoir computing (RC) is a computational framework known for its training efficiency, making it ideal for physical hardware implementations. However, realizing the complex inter…
Unsupervised learning for anticipating critical transitions
Shirin Panahi, Ling-Wei Kong, Bryan Glaz +2
For anticipating critical transitions in complex dynamical systems, the recent approach of parameter-driven reservoir computing requires explicit knowledge of the bifurcation param…
High-order exceptional points and stochastic resonance in pseudo-Hermitian systems
Shirin Panahi, Li-Li Ye, Ying-Cheng Lai
Exceptional points, a remarkable phenomenon in physical systems, have been exploited for sensing applications. It has been demonstrated recently that it can also utilize as sensory…
Kolmogorov-Arnold Network Autoencoders
Mohammadamin Moradi, Shirin Panahi, Erik Bollt +1
Deep learning models have revolutionized various domains, with Multi-Layer Perceptrons (MLPs) being a cornerstone for tasks like data regression and image classification. However,…
Data-driven model discovery with Kolmogorov-Arnold networks
Mohammadamin Moradi, Shirin Panahi, Erik M. Bollt +1
Data-driven model discovery of complex dynamical systems is typically done using sparse optimization, but it has a fundamental limitation: sparsity in that the underlying governing…
Machine-learning prediction of tipping with applications to the Atlantic Meridional Overturning Circulation
Shirin Panahi, Ling-Wei Kong, Mohammadamin Moradi +4
Anticipating a tipping point, a transition from one stable steady state to another, is a problem of broad relevance due to the ubiquity of the phenomenon in diverse fields. The ste…
Rate-induced tipping in complex high-dimensional ecological networks
Shirin Panahi, Younghae Do, Alan Hastings +1
In an ecosystem, environmental changes as a result of natural and human processes can cause some key parameters of the system to change with time. Depending on how fast such a para…