Search Results for author:
Found 2 papers, 1 papers with code
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
In this work we study the enhancement of Low Rank Adaptation (LoRA) fine-tuning procedure by introducing a Riemannian preconditioner in its optimization step.
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization
Diffusion models are becoming widely used in state-of-the-art image, video and audio generation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
