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cs.LG2025★ 1 cited
Deep Neural Cellular Potts Models
Koen Minartz, Tim d'Hondt, Leon Hillmann +3
The cellular Potts model (CPM) is a powerful computational method for simulating collective spatiotemporal dynamics of biological cells. To drive the dynamics, CPMs rely on physics…
cs.LG2024
One-Shot Federated Learning with Bayesian Pseudocoresets
Tim d'Hondt, Mykola Pechenizkiy, Robert Peharz
Optimization-based techniques for federated learning (FL) often come with prohibitive communication cost, as high dimensional model parameters need to be communicated repeatedly be…