Quantized rewiring: hardware-aware training of sparse deep neural networks. - Horst Petschenig; Robert Legenstein (Neuromorph. Comput. Eng., 2023)

Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing. - Thomas Ortner; Horst Petschenig; Athanasios Vasilopoulos; Roland Renner; Spela Brglez; Thomas Limbacher; Enrique Piñero; Alejandro Linares-Barranco; Angeliki Pantazi; Robert Legenstein (CoRR, 2024)

Controlling ReRAM's Switching Characteristics with Shadow Memory for Continual Learning. - Sai Sukruth Bezugam; Tinish Bhattacharya; Horst Petschenig; S. Choi; George Higgins Hutchinson; Giacomo Pedretti; X. Sheng; Jim Ignowski; Thomas Van Vaerenbergh; Raymond G. Beausoleil; Robert Legenstein; Dmitri B. Strukov (IMW, 2025)