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Found 3 papers, 1 papers with code
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction
Locally interacting dynamical systems, such as epidemic spread, rumor propagation through crowd, and forest fire, exhibit complex global dynamics originated from local, relatively simple, and often stochastic interactions between dynamic elements.
Forecasting Local Behavior of Self-organizing Many-agent System without Reconstruction
As an example, we consider a forest fire model where we aim to predict when a particular tree agent will start burning.
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
We evaluate our proposed method for various machine learning tasks including object detection on MS-COCO 2014 dataset, multiple object tracking problem on MOT-Challenge dataset, and human activity classification on UCF 101 dataset.
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