activity
20202024
most citedDiscrete and continuous representations and processing in deep learning: Looking forward

29 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 3 cited

Explicitly Representing Syntax Improves Sentence-to-layout Prediction of Unexpected Situations

Wolf Nuyts, Ruben Cartuyvels, Marie-Francine Moens

Recognizing visual entities in a natural language sentence and arranging them in a 2D spatial layout require a compositional understanding of language and space. This task of layou…

cs.CL2023★ 1 cited

Implicit Temporal Reasoning for Evidence-Based Fact-Checking

Liesbeth Allein, Marlon Saelens, Ruben Cartuyvels +1

Leveraging contextual knowledge has become standard practice in automated claim verification, yet the impact of temporal reasoning has been largely overlooked. Our study demonstrat…

cs.CV2022

Optimizing ship detection efficiency in SAR images

Arthur Van Meerbeeck, Jordy Van Landeghem, Ruben Cartuyvels +1

The detection and prevention of illegal fishing is critical to maintaining a healthy and functional ecosystem. Recent research on ship detection in satellite imagery has focused ex…

cs.NE2022★ 29 cited

Discrete and continuous representations and processing in deep learning: Looking forward

Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens

Discrete and continuous representations of content (e.g., of language or images) have interesting properties to be explored for the understanding of or reasoning with this content…

cs.IR2020

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…