The role of material science in neuromorphic computingValeria BragagliaTommaso Stecconiet al.2023CMD 2023
Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural NetworksSidney TsaiPritish Narayananet al.2024IPDPS 2024
Decoding Superpositions of Bound Symbols Represented by Distributed RepresentationsMichael HerscheZuzanna Opalaet al.2023NeSy 2023
Solving Raven's Progressive Matrices via a Neuro-vector-symbolic ArchitectureMichael HerscheMustafa Zeqiriet al.2023NeSy 2023
Factorizers for Distributed Sparse Block CodesMichael HerscheAleksandar Terzicet al.2024Neurosymbolic AI
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and InferenceManuel Le GalloCorey Liam Lammieet al.2023APL Mach. Learn.
Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory ComputingAthanasios VasilopoulosJulian Buchelet al.2023IEEE T-ED
Structural Assessment of Interfaces in Projected Phase-Change MemoryValeria BragagliaVara Prasad Jonnalagaddaet al.2022Nanomaterials
A Multi-Memristive Unit-Cell Array with Diagonal Interconnects for In-Memory ComputingRiduan Khaddam-AljamehMichele Martemucciet al.2021IEEE TCAS-II