Explore the research that ELIAI team members are conducting. Causal Knowledge Graphs for Counterfactual Claims Reasoning AI approaches to misinformation detection. Multimodal Interpretability from Partial Sight We seek to build DGMs that capture the joint distribution over co-observed visual and language data. Asking Your Self-Driving Car to Explain its Decisions Trusting an autonomous vehicle to make the right decisions. Grounding Actions and Action Modifiers in Instructional Videos Grounding is the process of associating a word or a phrase with the perceptual entity it refers to Gradient-based Learning of Complex Latent Structures Imposing structural constraints on the latent representations learned by deep neural models Verified Neural Network Training for Safe Human-Robot Interaction Robotic movement in the home and other human-centred environments requires safe, constrained behaviour. Multimodal Integration for Sample-Efficient Deep Reinforcement Learning Leveraging multimodal learning to improve the transferability and sample efficiency of Reinforcement Learning (RL) 3D Aware Representation Learning Evaluating Monocular Depth Perception in Large Vision Models PhysDom: Enabling LLM’s to Reason about physical systems PhysDom aims to automatically generate context for verbal reasoning about physical systems This article was published on 2024-11-22
