2 citations · 2 across the 1 of their papers we have counts for
3 papers
To Align or Not To Align: Check Your COMPASS Before You Train
Fabian Gröger, Petar Damjanović, Maria Brbić
Combining pretrained models is a common strategy for building AI systems, whether by aligning a vision encoder with a language model or merging fine-tuned checkpoints. However, fin…
Rethinking Projector Training in Multimodal LLMs
Fabian Gröger, Naël Ouerghemi, Shuo Wen +1
Multimodal LLMs are typically trained by first aligning a vision encoder with a language model via projector training on large image-caption datasets, followed by joint training of…
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations
Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos +20
Deep-learning-based brain magnetic resonance imaging (MRI) reconstruction methods have the potential to accelerate the MRI acquisition process. Nevertheless, the scientific communi…