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Invited talk: Hiranya Peiris, "Prospects for understanding the physics of the Universe"
Hiranya Peiris · Siddharth Mishra-Sharma
Author Information
Hiranya Peiris (University College London/Stockholm University)
Siddharth Mishra-Sharma (MIT)
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2021 : Inferring dark matter substructure with global astrometry beyond the power spectrum »
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2021 : Characterizing γ-ray maps of the Galactic Center with neural density estimation »
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2022 : A robust estimator of mutual information for deep learning interpretability »
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2022 : Invited talk: Catherine Nakalembe and Hannah Kerner »
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2022 : Contributed talk: Alexandre Adam, "Posterior samples of source galaxies in strong gravitational lenses with score-based priors" »
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2022 : Invited talk: Federico Felici, "Magnetic control of tokamak plasmas through Deep Reinforcement Learning" »
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2022 : Contributed talk: Aurélien Dersy, "Simplifying Polylogarithms with Machine Learning" »
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2022 : Invited talk: Vinicius Mikuni, "Collider Physics Innovations Powered by Machine Learning" »
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2022 : Invited talk: E. Doğuş Çubuk, "Scaling up material discovery via deep learning" »
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2022 : Contributed talk: Marco Aversa, "Physical Data Models in Machine Learning Imaging Pipelines" »
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2022 : Contributed talk: Kieran Murphy, "Characterizing information loss in a chaotic double pendulum with the Information Bottleneck" »
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2022 : Invited talk: David Pfau, "Deep Learning and Ab-Initio Quantum Chemistry and Materials" »
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2022 Workshop: Machine Learning and the Physical Sciences »
Atilim Gunes Baydin · Adji Bousso Dieng · Emine Kucukbenli · Gilles Louppe · Siddharth Mishra-Sharma · Benjamin Nachman · Brian Nord · Savannah Thais · Anima Anandkumar · Kyle Cranmer · Lenka Zdeborová · Rianne van den Berg