Posts
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Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
We present a hybrid data-driven approach for approximately solving the Euclidean TSP based on Graph Neural Networks (GNNs) and Guided Local Search (GLS), which we demonstrate converges to optimal solutions more quickly than three recent learning based approaches.
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Unsupervised Learning using Gaussian Processes
Motion capture data is very high-dimensional: an individual human pose is typically parameterized with more than 60 variables. However, we suspect that most “human” poses live on a lower-dimensional manifold within that high-dimensional space.
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PyLKH
PyLKH is a super simple Python wrapper for the constrained traveling salesman and vehicle routing problem solver called LKH-3.
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Climate Modeling using Gaussian Processes
We want to produce high-fidelity temperature predictions for a mountainous, costal region of Peru (shown below).
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Optimal Master Selection for UWB Localization
Ultrawide-band (UWB) based localization is a promising approach to creating an “indoor GPS”. These systems localize a mobile transmitter using receivers at fixed, known locations. Currently, many systems require these receivers to be time synchonized.
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P2P Energy Sharing for Remote and Developing Regions
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Touchscreen Test Fixture
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Fractal Landscapes
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Purrbble
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