3 citations · 4 across the 3 of their papers we have counts for
3 papers
Terminating Differentiable Tree Experts
Jonathan Thomm, Michael Hersche, Giacomo Camposampiero +3
We advance the recently proposed neuro-symbolic Differentiable Tree Machine, which learns tree operations using a combination of transformers and Tensor Product Representations. We…
Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control
Maria Mihaela Trusca, Wolf Nuyts, Jonathan Thomm +4
Current diffusion models create photorealistic images given a text prompt as input but struggle to correctly bind attributes mentioned in the text to the right objects in the image…
FABRIC: Personalizing Diffusion Models with Iterative Feedback
Dimitri von Rütte, Elisabetta Fedele, Jonathan Thomm +1
In an era where visual content generation is increasingly driven by machine learning, the integration of human feedback into generative models presents significant opportunities fo…