Timegrad is a relatively new model that uses Autoregressive Denoising Diffusion for Multivariate Probabilistic Time Series Forecasting Link to paper here . It has shown to outperform many types of time series models over several datasets. Recently a group of Chinese researchers Were able to create a model called D3VAE that uses diffusion, denoising, and disentanglement to beat Timegrad model. Link to that paper here
The Problem is both of these models are not very user friendly. I have experienced many hours of pain trying to implement these models and others have had the same problems.
IF Nixtla can implement these models in an easy to use, open source way, that would be a game changer for me personally. Thanks a bunch, keep up the good work!
kyr0
commented
1 year ago
Timegrad is a relatively new model that uses Autoregressive Denoising Diffusion for Multivariate Probabilistic Time Series Forecasting Link to paper here . It has shown to outperform many types of time series models over several datasets. Recently a group of Chinese researchers Were able to create a model called D3VAE that uses diffusion, denoising, and disentanglement to beat Timegrad model. Link to that paper here
The Problem is both of these models are not very user friendly. I have experienced many hours of pain trying to implement these models and others have had the same problems.
IF Nixtla can implement these models in an easy to use, open source way, that would be a game changer for me personally. Thanks a bunch, keep up the good work!