55 citations · 186 across the 31 of their papers we have counts for
4 papers · 1 filter
Making Good on LSTMs' Unfulfilled Promise
Daniel Philps, Artur d'Avila Garcez, Tillman Weyde
LSTMs promise much to financial time-series analysis, temporal and cross-sectional inference, but we find that they do not deliver in a real-world financial management task. We exa…
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy
Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde
In recent years, deep learning has surpassed traditional approaches to the problem of singing voice separation. The Wave-U-Net is a recent deep network architecture that operates d…
Factors for the Generalisation of Identity Relations by Neural Networks
Radha Kopparti, Tillman Weyde
Many researchers implicitly assume that neural networks learn relations and generalise them to new unseen data. It has been shown recently, however, that the generalisation of feed…
Continual Learning Augmented Investment Decisions
Daniel Philps, Tillman Weyde, Artur d'Avila Garcez +1
Investment decisions can benefit from incorporating an accumulated knowledge of the past to drive future decision making. We introduce Continual Learning Augmentation (CLA) which i…