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
Efficient Scaling of Large Language Models with Mixture of Experts and 3D Analog In-Memory ComputingJulian BüchelA. Vasilopouloset al.2025Nat. Comput. Sci.
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication ErrorJulian BuchelAthanasios Vasilopouloset al.2023IEEE JESTCS
Adversarial attacks on spiking convolutional neural networks for event-based visionJulian BüchelGregor Lenzet al.2022Frontiers in Neuroscience
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge AcceleratorChuteng ZhouFernando Garcia Redondoet al.2021IEEE Micro