241 citations · 442 across the 13 of their papers we have counts for
5 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…
Measurable Counterfactual Local Explanations for Any Classifier
Adam White, Artur d'Avila Garcez
We propose a novel method for explaining the predictions of any classifier. In our approach, local explanations are expected to explain both the outcome of a prediction and how tha…
Efficient predicate invention using shared "NeMuS"
Edjard Mota, Jacob M. Howe, Ana Schramm +1
Amao is a cognitive agent framework that tackles the invention of predicates with a different strategy as compared to recent advances in Inductive Logic Programming (ILP) approache…
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur d'Avila Garcez, Marco Gori, Luis C. Lamb +3
Current advances in Artificial Intelligence and machine learning in general, and deep learning in particular have reached unprecedented impact not only across research communities,…
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…