4 citations · 4 across the 1 of their papers we have counts for
3 papers
stat.ML2020★ 4 cited
Non-parametric generalized linear model
Matthew Dowling, Yuan Zhao, Il Memming Park
A fundamental problem in statistical neuroscience is to model how neurons encode information by analyzing electrophysiological recordings. A popular and widely-used approach is to…
stat.ML2018
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling
Josue Nassar, Scott W. Linderman, Monica Bugallo +1
Many real-world systems studied are governed by complex, nonlinear dynamics. By modeling these dynamics, we can gain insight into how these systems work, make predictions about how…
stat.ML2018
Information Geometry of Orthogonal Initializations and Training
Piotr A. Sokol, Il Memming Park
Recently mean field theory has been successfully used to analyze properties of wide, random neural networks. It gave rise to a prescriptive theory for initializing feed-forward neu…