2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2026
SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecasting
Jafar Bakhshaliyev, Niels Landwehr
Spiking Neural Networks (SNNs) have emerged as an energy-efficient alternative to conventional neural networks, demonstrating strong performance in computer vision and robotics. Mo…
cs.LG2024★ 2 cited
Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting
Dona Arabi, Jafar Bakhshaliyev, Ayse Coskuner +2
Data augmentation is important for improving machine learning model performance when faced with limited real-world data. In time series forecasting (TSF), where accurate prediction…