Search Results for author:
Found 2 papers, 1 papers with code
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference
We experimentally show that the inherent stochastic switching of the selector element between the insulator and metallic state introduces a multiplicative stochastic noise within the synapses of NSM that samples the conductance states of the FeFET, both during learning and inference.
Inherent Weight Normalization in Stochastic Neural Networks
Multiplicative stochasticity such as Dropout improves the robustness and generalizability of deep neural networks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
