6 citations · 11 across the 6 of their papers we have counts for
6 papers
A Graphical Formalism for Commonsense Reasoning with Recipes
Antonis Bikakis, Aissatou Diallo, Luke Dickens +2
Whilst cooking is a very important human activity, there has been little consideration given to how we can formalize recipes for use in a reasoning framework. We address this need…
Automatic Concept Extraction for Concept Bottleneck-based Video Classification
Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia +7
Recent efforts in interpretable deep learning models have shown that concept-based explanation methods achieve competitive accuracy with standard end-to-end models and enable reaso…
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…
On the Effects of Knowledge-Augmented Data in Word Embeddings
Diego Ramirez-Echavarria, Antonis Bikakis, Luke Dickens +2
This paper investigates techniques for knowledge injection into word embeddings learned from large corpora of unannotated data. These representations are trained with word cooccurr…
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems
Ekaterina Abramova, Luke Dickens, Daniel Kuhn +1
Nonlinear optimal control problems are often solved with numerical methods that require knowledge of system's dynamics which may be difficult to infer, and that carry a large compu…
Foundations for a Probabilistic Event Calculus
Fabio Aurelio D'Asaro, Antonis Bikakis, Luke Dickens +1
We present PEC, an Event Calculus (EC) style action language for reasoning about probabilistic causal and narrative information. It has an action language style syntax similar to t…