Training neural networks using memristive devices with nonlinear accumulative behaviorChristophe PiveteauManuel Le Galloet al.2019IMW 2019
Building next-generation AI systems: Co-optimization of algorithms, architectures, and nanoscale memristive devicesBipin RajendranAbu Sebastianet al.2019IMW 2019
All-Photonic in-Memory Computing Based on Phase-Change MaterialsCarlos RíosNathan Youngbloodet al.2019CLEO 2019
Localised states and their capture characteristics in amorphous phase-change materialsMartin RüttenAndreas Geilenet al.2019Scientific Reports
8-bit Precision In-Memory Multiplication with Projected Phase-Change MemoryIason GiannopoulosAbu Sebastianet al.2018IEDM 2018
Impact of conductance drift on multi-PCM synaptic architecturesIrem BoybatS. R. Nandakumaret al.2018NVMTS 2018
A phase-change memory model for neuromorphic computingS. R. NandakumarManuel Le Galloet al.2018Journal of Applied Physics
Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale LearningTimoleon MoraitisAbu Sebastianet al.2018IJCNN 2018
Compressed Sensing with Approximate Message Passing Using In-Memory ComputingManuel Le GalloAbu Sebastianet al.2018IEEE T-ED