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cs.LG2026
A Computationally Efficient Multidimensional Vision Transformer
Alaa El Ichi, Khalide Jbilou
Vision Transformers have achieved state-of-the-art performance in a wide range of computer vision tasks, but their practical deployment is limited by high computational and memory…
cs.LG2026
Dimensionality Reduction on Riemannian Manifolds in Data Analysis
Alaa El Ichi, Khalide Jbilou
In this work, we investigate Riemannian geometry based dimensionality reduction methods that respect the underlying manifold structure of the data. In particular, we focus on Princ…
cs.LG2026
Low-Rank Tensor Approximation of Weights in Large Language Models via Cosine Lanczos Bidiagonalization
A. El Ichi, K. Jbilou
Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse natural language tasks but suffer from extremely large memory footprints and computational cos…