1 citations · 2 across the 4 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.CV2025
Learning Eigenstructures of Unstructured Data Manifolds
Roy Velich, Arkadi Piven, David Bensaïd +3
We introduce a novel framework that directly learns a spectral basis for shape and manifold analysis from unstructured data, eliminating the need for traditional operator selection…
cs.AI2025
SingLoRA: Low Rank Adaptation Using a Single Matrix
David Bensaïd, Noam Rotstein, Roy Velich +2
Low-Rank Adaptation (LoRA) has significantly advanced parameter-efficient fine-tuning of large pretrained models. LoRA augments the pre-trained weights of a model by adding the pro…