Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed Tomography. - Illia Horenko; Lukás Pospísil; Edoardo Vecchi; Steffen Albrecht; Alexander Gerber; Beate Rehbock; Albrecht Stroh; Susanne Gerber (J. Imaging, 2022)

eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems. - Edoardo Vecchi; Lukás Pospísil; Steffen Albrecht; Terence J. O'Kane; Illia Horenko (Neural Comput., 2022)

Gauge-optimal approximate learning for small data classification problems. - Edoardo Vecchi; Davide Bassetti; Fabio Graziato; Lukás Pospísil; Illia Horenko (CoRR, 2023)

Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning. - Edoardo Vecchi; Juraj Kardos; Malik Lechekhab; Andreas Wächter; Illia Horenko; Olaf Schenk (J. Comput. Sci., 2024)

Gauge-Optimal Approximate Learning for Small Data Classification. - Edoardo Vecchi; Davide Bassetti; Fabio Graziato; Lukás Pospísil; Illia Horenko (Neural Comput., 2024)