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Found 5 papers, 0 papers with code
Automatic Bug Detection in Games using LSTM Networks
We introduced a new framework to detect perceptual bugs using a Long Short-Term Memory (LSTM) network, which detects bugs in video games as anomalies.
Stable Differentiable Causal Discovery
We find that SDCD outperforms existing methods in both convergence speed and accuracy and can scale to thousands of variables.
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods
Spreading of COVID-19 virus has increased the efforts to provide testing kits.
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks
We present a Bayesian hierarchical multi-view mixture model termed Symphony that simultaneously learns clusters of cells representing cell types and their underlying gene regulatory networks by integrating data from two views: single-cell gene expression data and paired epigenetic data, which is informative of gene-gene interactions.
Learning modular structures from network data and node variables
A standard technique for understanding underlying dependency structures among a set of variables posits a shared conditional probability distribution for the variables measured on individuals within a group.
