Kiri L. Wagstaff — accepted AI-conference papers

2024

Interactive Mars Image Content-Based Search with Interpretable Machine Learning

Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael Mcauley

AAAI 2024technical

The NASA Planetary Data System (PDS) hosts millions of images of planets, moons, and other bodies collected throughout many missions. The ever-expanding nature of data and user engagement demands an interpretable content classification system to support scientific discovery and individual curiosity.…

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2023

Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach

Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff

AAAI 2023technical

The cosmic microwave background (CMB) is a significant source of knowledge about the origin and evolution of our universe. However, observations of the CMB are contaminated by foreground emissions, obscuring the CMB signal and reducing its efficacy in constraining cosmological parameters. We employ…

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