218 citations · 811 across the 15 of their papers we have counts for
5 papers · 1 filter
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity
Huiyuan Xie, Tom Sherborne, Alexander Kuhnle +1
Image captioning as a multimodal task has drawn much interest in recent years. However, evaluation for this task remains a challenging problem. Existing evaluation metrics focus on…
Direct shape optimization through deep reinforcement learning
Jonathan Viquerat, Jean Rabault, Alexander Kuhnle +3
Deep Reinforcement Learning (DRL) has recently spread into a range of domains within physics and engineering, with multiple remarkable achievements. Still, much remains to be explo…
What is needed for simple spatial language capabilities in VQA?
Alexander Kuhnle, Ann Copestake
Visual question answering (VQA) comprises a variety of language capabilities. The diagnostic benchmark dataset CLEVR has fueled progress by helping to better assess and distinguish…
A review on Deep Reinforcement Learning for Fluid Mechanics
Paul Garnier, Jonathan Viquerat, Jean Rabault +3
Deep reinforcement learning (DRL) has recently been adopted in a wide range of physics and engineering domains for its ability to solve decision-making problems that were previousl…
Accelerating Deep Reinforcement Learning strategies of Flow Control through a multi-environment approach
Jean Rabault, Alexander Kuhnle
Deep Reinforcement Learning (DRL) has recently been proposed as a methodology to discover complex Active Flow Control (AFC) strategies [Rabault, J., Kuchta, M., Jensen, A., Reglade…