11 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Masked Generative Modeling with Enhanced Sampling Scheme
Daesoo Lee, Erlend Aune, Sara Malacarne
This paper presents a novel sampling scheme for masked non-autoregressive generative modeling. We identify the limitations of TimeVQVAE, MaskGIT, and Token-Critic in their sampling…
cs.LG2023★ 11 cited
Vector Quantized Time Series Generation with a Bidirectional Prior Model
Daesoo Lee, Sara Malacarne, Erlend Aune
Time series generation (TSG) studies have mainly focused on the use of Generative Adversarial Networks (GANs) combined with recurrent neural network (RNN) variants. However, the fu…
cs.LG2022★ 1 cited
Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting
Espen Haugsdal, Erlend Aune, Massimiliano Ruocco
Time series forecasting is an important problem, with many real world applications. Ensembles of deep neural networks have recently achieved impressive forecasting accuracy, but su…