1 citations · 1 across the 3 of their papers we have counts for
3 papers
Generalizing the Geometry of Model Merging Through Frechet Averages
Marvin F. da Silva, Mohammed Adnan, Felix Dangel +1
Model merging aims to combine multiple models into one without additional training. Naïve parameter-space averaging can be fragile under architectural symmetries, as their geometry…
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry
Mohammed Adnan, Rohan Jain, Ekansh Sharma +2
The Lottery Ticket Hypothesis (LTH) suggests there exists a sparse LTH mask and weights that achieve the same generalization performance as the dense model while using significantl…
Structured Model Pruning for Efficient Inference in Computational Pathology
Mohammed Adnan, Qinle Ba, Nazim Shaikh +3
Recent years have seen significant efforts to adopt Artificial Intelligence (AI) in healthcare for various use cases, from computer-aided diagnosis to ICU triage. However, the size…