47 citations · 99 across the 6 of their papers we have counts for
6 papers
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
Shibo Zhao, Yuanjun Gao, Tianhao Wu +18
Simultaneous localization and mapping (SLAM) is a fundamental task for numerous applications such as autonomous navigation and exploration. Despite many SLAM datasets have been rel…
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model
Ding Zhou, Yuanjun Gao, Liam Paninski
The Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) has been used widely as a natural Bayesian nonparametric extension of the classical Hidden Markov Model for learnin…
Mining Events with Declassified Diplomatic Documents
Yuanjun Gao, Jack Goetz, Rahul Mazumder +1
Since 1973 the State Department has been using electronic records systems to preserve classified communications. Recently, approximately 1.9 million of these records from 1973-77 h…
Maximum Entropy Flow Networks
Gabriel Loaiza-Ganem, Yuanjun Gao, John P. Cunningham
Maximum entropy modeling is a flexible and popular framework for formulating statistical models given partial knowledge. In this paper, rather than the traditional method of optimi…
Linear dynamical neural population models through nonlinear embeddings
Yuanjun Gao, Evan Archer, Liam Paninski +1
A body of recent work in modeling neural activity focuses on recovering low-dimensional latent features that capture the statistical structure of large-scale neural populations. Mo…
A structured matrix factorization framework for large scale calcium imaging data analysis
Eftychios A. Pnevmatikakis, Yuanjun Gao, Daniel Soudry +6
We present a structured matrix factorization approach to analyzing calcium imaging recordings of large neuronal ensembles. Our goal is to simultaneously identify the locations of t…