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cs.LG2026
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…
cs.LG2025
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…