2 papers
cs.LG2025
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…
cs.LG2024
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…