
HDFE provides an explicit, decodable representation for continuous objects, enabling sample invariance and distance preservation without the need for training.


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Decodable-and-Sample-Invariant-Continuous-Object-Encoder-HDFE-Approach


Decodable and Sample Invariant Continuous Object Encoder: HDFE Approach


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Continuous objects can be efficiently encoded into fixed-length vectors using Hyper-Dimensional Function Encoding (HDFE), enabling sample invariance, decodability, and distance-preservation.


decodable-and-sample-invariant-continuous-object-encoder-hdfe-proposal


Decodable and Sample Invariant Continuous Object Encoder: HDFE Proposal



HDFE enables decodable and sample invariant encoding of continuous objects for neural networks.


decodable-and-sample-invariant-continuous-object-encoder-at-iclr-2024


Decodable and Sample Invariant Continuous Object Encoder at ICLR 2024
