2 papers
cs.LG2026
Time series generation with spectrally aligned latent flow matching
Camilo Carvajal Reyes, Felipe Tobar
Latent flow models have proven to be a reliable and cost-effective method for time series generation. However, the latent compression induces unwanted artefacts, such as a spectral…
cs.LG2026
Unconditional flow-based time series generation with equivariance-regularised latent spaces
Camilo Carvajal Reyes, Felipe Tobar
Flow-based models have proven successful for time-series generation, particularly when defined in lower-dimensional latent spaces that enable efficient sampling. However, how to de…