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Frameworks & Integration

AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations

    The prevalence of AI-generated imagery has raised concerns about the authenticity of astronomical images, especially with advanced text-to-image models like Stable Diffusion producing highly realistic synthetic samples. Existing detection methods, primarily based on convolutional neural networks (CNNs) or spectral analysis,… Read More »AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations

    Integrating Machine Learning and Data Science in Planetary Missions for Science Autonomy

      Future planetary exploration missions investigating habitability and potential life on distant bodies (e.g., Titan, Enceladus) will face communication constraints with limited transfer rates and short communication windows. Operations of existing missions such as to Mars rely heavily on ground-in-the-loop interactions… Read More »Integrating Machine Learning and Data Science in Planetary Missions for Science Autonomy