241 citations · 442 across the 12 of their papers we have counts for
8 papers · 1 filter
Graph-based Neural Modules to Inspect Attention-based Architectures: A Position Paper
Breno W. Carvalho, Artur D'Avilla Garcez, Luis C. Lamb
Encoder-decoder architectures are prominent building blocks of state-of-the-art solutions for tasks across multiple fields where deep learning (DL) or foundation models play a key…
Synthetic Data Generation for Fraud Detection using GANs
Charitos Charitou, Simo Dragicevic, Artur d'Avila Garcez
Detecting money laundering in gambling is becoming increasingly challenging for the gambling industry as consumers migrate to online channels. Whilst increasingly stringent regulat…
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision
Harald Strömfelt, Luke Dickens, Artur d'Avila Garcez +1
We propose a new model for relational VAE semi-supervision capable of balancing disentanglement and low complexity modelling of relations with different symbolic properties. We com…
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
Henrique Lemos, Pedro Avelar, Marcelo Prates +2
The recent developments and growing interest in neural-symbolic models has shown that hybrid approaches can offer richer models for Artificial Intelligence. The integration of effe…
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…
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…