4 citations · 9 across the 6 of their papers we have counts for
6 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…
Multi-Level Error-Resilient Neural Networks with Learning
Amir Hesam Salavati, Amin Karbasi
The problem of neural network association is to retrieve a previously memorized pattern from its noisy version using a network of neurons. An ideal neural network should include th…