Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators. - Artem Glukhov; Valerio Milo; Andrea Baroni; Nicola Lepri; Cristian Zambelli; Piero Olivo; Eduardo Pérez; Christian Wenger; Daniele Ielmini (IRPS, 2022)

Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators. - Nicola Lepri; Artem Glukhov; Daniele Ielmini (IRPS, 2022)

End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays. - Artem Glukhov; Nicola Lepri; Valerio Milo; Andrea Baroni; Cristian Zambelli; Piero Olivo; Eduardo Pérez; Christian Wenger; Daniele Ielmini (VLSI-SoC, 2022)

Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators. - L. Pistolesi; Artem Glukhov; Amadeo de Gracia Herranz; M. Lopez-Vallejo; Marcella Carissimi; Marco Pasotti; Pier Luigi Rolandi; Andrea Redaelli; I. Muñoz-Martín; S. Bianchi; Andrea Bonfanti; Daniele Ielmini (IRPS, 2024)