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Found 7 papers, 2 papers with code
Online Ecological Gearshift Strategy via Neural Network with Soft-Argmax Operator
This paper presents a neural network optimizer with soft-argmax operator to achieve an ecological gearshift strategy in real-time.
AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph
We base our work on the assumption that most human-made objects are constituted by parts and these parts can be well represented by generalized primitives.
Granger Mediation Analysis of Multiple Time Series with an Application to fMRI
These models not only provide valid causal mediation for time series data but also model the causal dynamics across time.
Pathway Lasso: Estimate and Select Sparse Mediation Pathways with High Dimensional Mediators
In many scientific studies, it becomes increasingly important to delineate the causal pathways through a large number of mediators, such as genetic and brain mediators.
Model Assisted Variable Clustering: Minimax-optimal Recovery and Algorithms
We quantify the difficulty of clustering data generated from a G-block covariance model in terms of cluster proximity, measured with respect to two related, but different, cluster separation metrics.
A Hierarchical Graphical Model for Big Inverse Covariance Estimation with an Application to fMRI
This model introduces a hidden layer of networks based on sparse Gaussian graphical models, and the observed data are sampled from individual network nodes.
Fast and Adaptive Sparse Precision Matrix Estimation in High Dimensions
We analyze an adaptive procedure based on cross validation, and establish its convergence rate under the Frobenius norm.
