16 citations · 16 across the 3 of their papers we have counts for
5 papers
Autoregressive Reasoning over Chains of Facts with Transformers
Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens
This paper proposes an iterative inference algorithm for multi-hop explanation regeneration, that retrieves relevant factual evidence in the form of text snippets, given a natural…
Structured (De)composable Representations Trained with Neural Networks
Graham Spinks, Marie-Francine Moens
The paper proposes a novel technique for representing templates and instances of concept classes. A template representation refers to the generic representation that captures the c…
Convolutional Generation of Textured 3D Meshes
Dario Pavllo, Graham Spinks, Thomas Hofmann +2
While recent generative models for 2D images achieve impressive visual results, they clearly lack the ability to perform 3D reasoning. This heavily restricts the degree of control…
Justifying Diagnosis Decisions by Deep Neural Networks
Graham Spinks, Marie-Francine Moens
An integrated approach is proposed across visual and textual data to both determine and justify a medical diagnosis by a neural network. As deep learning techniques improve, intere…
Generating Continuous Representations of Medical Texts
Graham Spinks, Marie-Francine Moens
We present an architecture that generates medical texts while learning an informative, continuous representation with discriminative features. During training the input to the syst…