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Neural Abstractions for Dynamical Models
The dataset used in this paper is a collection of neural abstractions for dynamical models. The dataset consists of neural networks with different activation functions... -
Discovery of Dynamics via Deep Learning
The dataset used in the paper is a collection of time series data from a dynamical system, which is used to test the performance of the network-based LMMs for discovering... -
State Space Representations of Deep Neural Networks
This paper deals with neural networks as dynamical systems governed by finite difference equations. It shows that the introduction of k-many skip connections into network...
