2 papers
stat.ML2025
Mamba time series forecasting with uncertainty quantification
Pedro Pessoa, Paul Campitelli, Douglas P. Shepherd +2
State space models, such as Mamba, have recently garnered attention in time series forecasting due to their ability to capture sequence patterns. However, in electricity consumptio…
cs.CV2024
Re-thinking Richardson-Lucy without Iteration Cutoffs: Physically Motivated Bayesian Deconvolution
Zachary H. Hendrix, Peter T. Brown, Tim Flanagan +3
Richardson-Lucy deconvolution is widely used to restore images from degradation caused by the broadening effects of a point spread function and corruption by photon shot noise, in…