7 citations · 11 across the 5 of their papers we have counts for
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cs.CV2026
Language Models Can Explain Visual Features via Steering
Javier Ferrando, Enrique Lopez-Cuena, Pablo Agustin Martin-Torres +3
Sparse Autoencoders uncover thousands of features in vision models, yet explaining these features without requiring human intervention remains an open challenge. While previous wor…
cs.CV2023★ 2 cited
Exploring the Role of Explainability in AI-Assisted Embryo Selection
Lucia Urcelay, Daniel Hinjos, Pablo A. Martin-Torres +5
In Vitro Fertilization is among the most widespread treatments for infertility. One of its main challenges is the evaluation and selection of embryo for implantation, a process wit…