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02/17/2023
On Equivalent Optimization of Machine Learning Methods
At the core of many machine learning methods resides an iterative optimi...
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09/14/2022
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory
Iterative algorithms are of utmost importance in decision and control. W...
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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 ...
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10/07/2021
Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective
Foundational work on the Lottery Ticket Hypothesis has suggested an exci...
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01/03/2021
On Koopman Mode Decomposition and Tensor Component Analysis
Koopman mode decomposition and tensor component analysis are two tools t...
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08/24/2020
Local error quantification for efficient neural network dynamical system solvers
Neural Networks have been identified as potentially powerful tools for t...
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06/03/2020
