3 papers
cs.RO2026
Latent Cluster Analysis for Vision-Language-Action Models
Theodor Wulff, Sergio Lanza, Tamara Bila +3
Vision-Language-Action (VLA) Models are increasingly used in robotics for their ability to ground language and perception into action, yet the internal representations driving thei…
cs.CV2026
Extraction and Analysis of Multimodal Concepts in Vision Language Models through Sparse Autoencoders
Sergio Lanza, Jae Hee Lee, Stefan Wermter
Vision Language Models (VLMs) have demonstrated impressive performance in tasks requiring joint understanding of images and text, such as image captioning and Visual Question Answe…
cs.AI2023
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks
Jae Hee Lee, Sergio Lanza, Stefan Wermter
In this paper, we review recent approaches for explaining concepts in neural networks. Concepts can act as a natural link between learning and reasoning: once the concepts are iden…