7 citations · 7 across the 4 of their papers we have counts for
4 papers
Transformers self-organize like newborn visual systems when trained in prenatal worlds
Lalit Pandey, Samantha M. W. Wood, Justin N. Wood
Do transformers learn like brains? A key challenge in addressing this question is that transformers and brains are trained on fundamentally different data. Brains are initially "tr…
Implementing An Artificial Quantum Perceptron
Ashutosh Hathidara, Lalit Pandey
A Perceptron is a fundamental building block of a neural network. The flexibility and scalability of perceptron make it ubiquitous in building intelligent systems. Studies have sho…
Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
Lalit Pandey, Samantha M. W. Wood, Justin N. Wood
Vision transformers (ViTs) are top performing models on many computer vision benchmarks and can accurately predict human behavior on object recognition tasks. However, researchers…
Neuro-Symbolic Sudoku Solver
Ashutosh Hathidara, Lalit Pandey
Deep Neural Networks have achieved great success in some of the complex tasks that humans can do with ease. These include image recognition/classification, natural language process…