3 citations · 3 across the 4 of their papers we have counts for
4 papers
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
Navid Shervani-Tabar, Marzieh Alireza Mirhoseini, Robert Rosenbaum
Deep neural networks have achieved impressive performance through carefully engineered training strategies. Nonetheless, such methods lack parallels in biological neural circuits,…
Multiresolution Approximation of a Bayesian Inverse Problem using Second-Generation Wavelets
Navid Shervani-Tabar
Bayesian approaches are one of the primary methodologies to tackle an inverse problem in high dimensions. Such an inverse problem arises in hydrology to infer the permeability fiel…
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways
Navid Shervani-Tabar, Robert Rosenbaum
Backpropagation is widely used to train artificial neural networks, but its relationship to synaptic plasticity in the brain is unknown. Some biological models of backpropagation r…
Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational Autoencoder
Navid Shervani-Tabar, Nicholas Zabaras
Recent advances in artificial intelligence have propelled the development of innovative computational materials modeling and design techniques. Generative deep learning models have…