1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
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…
cs.NE2024
EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
Lars Graf, Zhe Su, Giacomo Indiveri
The drive to develop artificial neural networks that efficiently utilize resources has generated significant interest in bio-inspired Spiking Neural Networks (SNNs). These networks…