Special Seminar: Causal AI in Astronomy
Feb
10
2025
Feb
10
2025
Description
Causal AI in Astronomy
Astronomy and astrophysics are currently undergoing profound changes as the results of two developments: 1) the availability of vast quantities of data from surveys and simulations, and 2) the rapid progress in machine learning and AI. But how should we bridge the gap between data-driven and theoretical descriptions of the Universe? How do we actually learn new aspects of physical systems from data?
I will show that introducing causal structure into deep learning architectures creates efficient, robust, useful, and highly interpretable models that respect known physics and reveal unknown phenomena. I will present results from my group on exoplanets, galaxy evolution, and cosmology to demonstrate what we can achieve already and discuss how this approach leads to future astrophysics and AI research.
Other Events in This Series
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13
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12:00 pm – 1:00 pm
Speaker(s): Junehyoung Jeon - The University of Texas at Austin
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3
2025
Galaxies and Cosmology Seminar
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12:00 pm – 1:00 pm
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10
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Galaxies and Cosmology Seminar
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Two talks by Astronomy Department graduate students
12:00 pm – 1:00 pm
Speaker(s): Om Gupta - The University of Texas at Austin and Emily Bregou - The University of Texas at Austin
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24
2025
Galaxies and Cosmology Seminar
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Two talks by Astronomy Department graduate students
12:00 pm – 1:00 pm
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31
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Galaxies and Cosmology Seminar
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Zorayda Martinez Second Year Research Talk
12:00 pm – 1:00 pm
Speaker(s): Zorayda Martinez - The University of Texas at Austin