92 citations · 92 across the 1 of their papers we have counts for
2 papers
cs.SD2024
Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods
Rodrigo Diaz, Carlos De La Vega Martin, Mark Sandler
This paper presents an examination of State Space Models (SSM) and Koopman-based deep learning methods for modelling the dynamics of both linear and non-linear stiff strings. Throu…
cs.CV2017★ 92 cited
The Power of Sparsity in Convolutional Neural Networks
Soravit Changpinyo, Mark Sandler, Andrey Zhmoginov
Deep convolutional networks are well-known for their high computational and memory demands. Given limited resources, how does one design a network that balances its size, training…