2 papers
cs.SD2024
SepMamba: State-space models for speaker separation using Mamba
Thor Højhus Avenstrup, Boldizsár Elek, István László Mádi +4
Deep learning-based single-channel speaker separation has improved significantly in recent years largely due to the introduction of the transformer-based attention mechanism. Howev…
cs.LG2024
Self-Supervised Learning for Time Series: A Review & Critique of FITS
Andreas Løvendahl Eefsen, Nicholas Erup Larsen, Oliver Glozmann Bork Hansen +1
Accurate time series forecasting is a highly valuable endeavour with applications across many industries. Despite recent deep learning advancements, increased model complexity, and…