159 citations · 178 across the 12 of their papers we have counts for
3 papers · 1 filter
FlowState: Sampling-Rate-Equivariant Time-Series Forecasting
Lars Graf, Thomas Ortner, Stanisław Woźniak +1
Existing time series foundation models (TSFMs), often based on transformer variants, lack adaptability to different sampling rates, struggle with generalization across varying cont…
Intrinsic Biologically Plausible Adversarial Robustness
Matilde Tristany Farinha, Thomas Ortner, Giorgia Dellaferrera +2
Artificial Neural Networks (ANNs) trained with Backpropagation (BP) excel in different daily tasks but have a dangerous vulnerability: inputs with small targeted perturbations, als…
Online Spatio-Temporal Learning in Deep Neural Networks
Thomas Bohnstingl, Stanisław Woźniak, Wolfgang Maass +2
Biological neural networks are equipped with an inherent capability to continuously adapt through online learning. This aspect remains in stark contrast to learning with error back…