78 citations · 98 across the 13 of their papers we have counts for
13 papers
Convolutional Neural Associative Memories: Massive Capacity with Noise Tolerance
Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi
The task of a neural associative memory is to retrieve a set of previously memorized patterns from their noisy versions using a network of neurons. An ideal network should have the…
Noise Facilitation in Associative Memories of Exponential Capacity
Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi +1
Recent advances in associative memory design through structured pattern sets and graph-based inference algorithms have allowed reliable learning and recall of an exponential number…
A Non-Binary Associative Memory with Exponential Pattern Retrieval Capacity and Iterative Learning: Extended Results
Amir Hesam Salavati, K. Raj Kumar, Amin Shokrollahi
We consider the problem of neural association for a network of non-binary neurons. Here, the task is to first memorize a set of patterns using a network of neurons whose states ass…
Neural Networks Built from Unreliable Components
Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi +1
Recent advances in associative memory design through strutured pattern sets and graph-based inference algorithms have allowed the reliable learning and retrieval of an exponential…
Coupled Neural Associative Memories
Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi
We propose a novel architecture to design a neural associative memory that is capable of learning a large number of patterns and recalling them later in presence of noise. It is ba…
Irregular Product Codes
Masoud Alipour, Omid Etesami, Ghid Maatouk +1
We consider irregular product codes.In this class of codes, each codeword is represented by a matrix. The entries in each row (column) of the matrix should come from a component ro…