957 citations · 3.1k across the 43 of their papers we have counts for
49 papers
From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces
Qi Lin, Zifan Li, John Lafferty +1
Much of what we remember is not due to intentional selection, but simply a by-product of perceiving. This raises a foundational question about the architecture of the mind: How doe…
Emergent organization of receptive fields in networks of excitatory and inhibitory neurons
Leon Lufkin, Ashish Puri, Ganlin Song +2
Local patterns of excitation and inhibition that can generate neural waves are studied as a computational mechanism underlying the organization of neuronal tunings. Sparse coding a…
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
Ganlin Song, Ruitu Xu, John Lafferty
Stochastic gradient descent with backpropagation is the workhorse of artificial neural networks. It has long been recognized that backpropagation fails to be a biologically plausib…
The huge Package for High-dimensional Undirected Graph Estimation in R
Tuo Zhao, Han Liu, Kathryn Roeder +2
We describe an R package named huge which provides easy-to-use functions for estimating high dimensional undirected graphs from data. This package implements recent results in the…
Model Repair: Robust Recovery of Over-Parameterized Statistical Models
Chao Gao, John Lafferty
A new type of robust estimation problem is introduced where the goal is to recover a statistical model that has been corrupted after it has been estimated from data. Methods are pr…
Surfing: Iterative optimization over incrementally trained deep networks
Ganlin Song, Zhou Fan, John Lafferty
We investigate a sequential optimization procedure to minimize the empirical risk functional for certain families of deep network…