4 papers
Scalable Memristive-Friendly Reservoir Computing for Time Series Classification
CoÅku Can Horuz, Andrea Ceni, Claudio Gallicchio +1
Memristive devices present a promising foundation for next-generation information processing by combining memory and computation within a single physical substrate. This unique cha…
Minimal Convolutional RNNs Accelerate Spatiotemporal Learning
CoÅku Can Horuz, Sebastian Otte, Martin V. Butz +1
We introduce MinConvLSTM and MinConvGRU, two novel spatiotemporal models that combine the spatial inductive biases of convolutional recurrent networks with the training efficiency…
The Resurrection of the ReLU
CoÅku Can Horuz, Geoffrey Kasenbacher, Saya Higuchi +7
Modeling sophisticated activation functions within deep learning architectures has evolved into a distinct research direction. Functions such as GELU, SELU, and SiLU offer smooth g…
Inferring Underwater Topography with FINN
CoÅku Can Horuz, Matthias Karlbauer, Timothy Praditia +3
Spatiotemporal partial differential equations (PDEs) find extensive application across various scientific and engineering fields. While numerous models have emerged from both physi…