3 papers
math.NA2026
Nonlinear RMM-GKS for Large-Scale Dynamic and Streaming Inverse Problems with Uncertain Forward Operators
Toluwani Okunola, Mirjeta Pasha, Misha E. Kilmer +2
Many practical imaging systems suffer from uncertainty in acquisition geometry -- such as projection angles in computed tomography or sensor positions in photoacoustic tomography -…
cs.LG2026
ResGene-T: A Tensor-Based Residual Network Approach for Genomic Prediction
Kuldeep Pathak, Kapil Ahuja, Eric de Sturler
In this work, we propose a new deep learning model for Genomic Prediction (GP), which involves correlating genotypic data with phenotypic. The genotypes are typically fed as a sequ…
math.NA2025
An Adaptive Mixed Precision and Dynamically Scaled Preconditioned Conjugate Gradient Algorithm
Yichen Guo, Eric de Sturler, Tim Warburton
We propose an adaptive mixed precision and dynamically scaled preconditioned conjugate gradient algorithm (AMP-PCG). It dynamically adjusts the precision for storing vectors and co…