MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition

1 code implementation • NeurIPS 2023 • Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi

MIMONets augment various deep neural network architectures with variable binding mechanisms to represent an arbitrary number of inputs in a compositional data structure via fixed-width distributed representations.