Sebastian, Abu

Gradient descent-based programming of analog in-memory computing cores

Büchel, J., Vasilopoulos, A., Kersting, B., Odermatt, F., Brew, K., Ok, I., Choi, S., Saraf, I., Chan, V., Philip, T., et al. (2022) · 2022 International Electron Devices Meeting (IEDM)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 18

Supervised learning in spiking neural networks with MLC PCM synapses

Nandakumar, S. R., Boybat, I., Le Gallo, M., Sebastian, A., Rajendran, B., & Eleftheriou, E. (2017) · 2017 75th Annual Device Research Conference (DRC)

Advanced Memory and Neural ComputingNeural dynamics and brain function

Cited by 13

5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory

Dazzi, M., Sebastian, A., Francese, P. A., Parnell, T., Benini, L., & Eleftheriou, E. (2019) · arXiv

Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques

Cited by 10

Gradient descent-based programming of analog in-memory computing cores

Büchel, J., Sebastian, A., Kersting, B., Odermatt, F., Brew, K., Ok, I., Choi, S., Vasilopoulos, A., Chan, V., Philip, T., et al. (2023) · Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 1

2022 roadmap on neuromorphic computing and engineering

Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., et al. (2022) · Neuromorphic Computing and Engineering

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 0