no code implementations • 18 Feb 2020 • Hanwei Wu, Ather Gattami, Markus Flierl
One challenge of using deep learning models for finance forecasting is the shortage of available training data when using small datasets.
1 code implementation • 27 May 2019 • Hanwei Wu, Markus Flierl
We show that our proposed regularization method results in improved latent representations for both supervised learning and clustering downstream tasks when compared to autoencoders using other bottleneck structures.
no code implementations • 2 Aug 2018 • Hanwei Wu, Markus Flierl
In this paper, we provide an information-theoretic interpretation of the Vector Quantized-Variational Autoencoder (VQ-VAE).
no code implementations • 12 Jul 2018 • Hanwei Wu, Markus Flierl
State-of-the-art retrieval results are achieved by the learned codebooks.