2 papers
math.NA2026
Stochastic Lanczos Quadrature for Computational Uncertainty in Linear Algebra
Hassan Fifen, Issa Karambal, Philipp Hennig
Applying a matrix function to a vector is a common operation in large-scale scientific computing, such as Bayesian inference. When the matrix is symmetric positive definite and the…
cs.CV2026
Vision Tiny Recursion Model (ViTRM): Parameter-Efficient Image Classification via Recursive State Refinement
Ange-Clément Akazan, Abdoulaye Koroko, Verlon Roel Mbingui +3
The success of deep learning in computer vision has been driven by models of increasing scale, from deep Convolutional Neural Networks (CNN) to large Vision Transformers (ViT). Whi…