3 papers
cs.LG2026
Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
Rui Wang, Edoardo Pasetto, Amer Delilbasic +3
Statistical downscaling is a crucial component of the weather modeling field, where high-resolution outputs must be reconstructed from coarse-resolution inputs with the full cost o…
quant-ph2026
Large-Scale Quantum Kernels for Hyperspectral Data Classification
A. Delilbasic, A. Miroszewski, A. Wijata +4
Quantum kernel methods have emerged as a promising approach for leveraging high-dimensional feature spaces in machine learning, particularly in domains where classical kernel metho…
cs.LG2025
Resource-Adaptive Successive Doubling for Hyperparameter Optimization with Large Datasets on High-Performance Computing Systems
Marcel Aach, Rakesh Sarma, Helmut Neukirchen +2
On High-Performance Computing (HPC) systems, several hyperparameter configurations can be evaluated in parallel to speed up the Hyperparameter Optimization (HPO) process. State-of-…