1 citations · 1 across the 1 of their papers we have counts for
4 papers
FlowState: Sampling-Rate-Equivariant Time-Series Forecasting
Lars Graf, Thomas Ortner, StanisÅaw 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…
Dynamic Event-based Optical Identification and Communication
Axel von Arnim, Jules Lecomte, Naima Elosegui Borras +2
Optical identification is often done with spatial or temporal visual pattern recognition and localization. Temporal pattern recognition, depending on the technology, involves a tra…
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing
Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos +7
There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at d…