most citedA Review of Neuroscience-Inspired Machine Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps

Hitesh Vaidya, Travis Desell, Ankur Mali +1

An intelligent system capable of continual learning is one that can process and extract knowledge from potentially infinitely long streams of pattern vectors. The major challenge t…

cs.NE20241 cited

A Review of Neuroscience-Inspired Machine Learning

Alexander Ororbia, Ankur Mali, Adam Kohan +2

One major criticism of deep learning centers around the biological implausibility of the credit assignment schema used for learning -- backpropagation of errors. This implausibilit…

cs.LG2024

Stability Analysis of Various Symbolic Rule Extraction Methods from Recurrent Neural Network

Neisarg Dave, Daniel Kifer, C. Lee Giles +1

This paper analyzes two competing rule extraction methodologies: quantization and equivalence query. We trained RNN models, extracting DFA with a quantization approa…

cs.LG2023

On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks

Ankur Mali, Alexander Ororbia, Daniel Kifer +1

Artificial neural networks (ANNs) with recurrence and self-attention have been shown to be Turing-complete (TC). However, existing work has shown that these ANNs require multiple t…

cs.CC2023

On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine

Ankur Mali, Alexander Ororbia, Daniel Kifer +1

Recurrent neural networks (RNNs) and transformers have been shown to be Turing-complete, but this result assumes infinite precision in their hidden representations, positional enco…