James Holt

Learning with Holographic Reduced Representations

2021 · arXiv (Cornell University)

Holographic Reduced Representations (HRR) are a method for performing symbolic AI on top of real-valued vectors by associating each vector with an abstract concept, and providing mathematical operations to manipulate vectors as if they were …

Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations

2022 · arXiv (Cornell University)

Due to the computational cost of running inference for a neural network, the need to deploy the inferential steps on a third party's compute environment or hardware is common. If the third party is not …