An All-Sky Search for Moving Gamma-Ray Sources with Fermi-LAT
A search for moving gamma-ray sources in ten years of Fermi-LAT data, with calibrated detection efficiencies and constraints on nearby compact sources.
Research
Artificial intelligence, machine learning, and computational approaches to scientific questions.
Selected publications
Selected works that highlight the recent research of our members on topics relating to AI and ML.
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TAPS: Target-Aware Permanent Sampling for Graph Diffusion
A graph-diffusion framework for choosing permanent sensor locations to predict regional air quality, evaluated on monitoring networks in California, Canada, and England.
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Stabilizing Role of Uninformed Participants in Collective Decision Making
A network model showing how direction-free dissipation from uninformed participants can stabilize collective behavior and delay polarization in biological and engineered swarms.
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Optimization of Cost Functions in Absolute Plate Motion Modeling
Refining objective functions and hotspot-trail modeling to improve reconstructions of historical tectonic plate motion.
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Influence Prediction in Collaboration Networks: An Empirical Study on arXiv
Combining link prediction and centrality-based selection to identify future influential researchers in an evolving scientific collaboration network.
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Learning-Augmented Algorithms for Boolean Satisfiability
Using partial or noisy predictions from a machine-learning oracle to improve running times and approximation guarantees for Boolean satisfiability problems.
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A Carbon Aware Ant Colony System (CAACS)
An ant-colony optimization algorithm for route planning that balances transportation objectives with reduced carbon emissions.
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Cross-Validation Error Dynamics in Smaller Datasets
An empirical and theoretical study of how sampling and overfitting affect the relationships between training, test, and holdout errors in small datasets.