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  1. I am a theoretical physicist with broad interests in effective field theory, particle physics, cosmology, scattering amplitudes, and the conformal field theory (CFT) bootstrap. My present research uses CFT to learn about quantum gravity via the AdS/CFT correspondence.

  2. Jared Kaplan. Johns Hopkins University & Anthropic. Verified email at pha.jhu.edu - Homepage. Theoretical Physics Machine Learning. Title. Sort. Sort by citations Sort by year Sort by title....

  3. Jared Kaplan is a theoretical physicist with interests in quantum gravity, holography, and conformal field theory, as well as effective field theory, particle physics, and cosmology. He is also working on topics at the interface between physics and machine learning.

  4. Jared Kaplan. Department of Physics and Astronomy, Johns Hopkins University. Abstract. AdS/CFT from the perspective of Effective Field Theory and the Conformal Bootstrap. Contents. 1 Introduction 2. 1.1 Why is Quantum Gravity Different?. . . . . . . . . . . . . . . . . . . . . . . . . . .

  5. Jared Kaplan Department of Physics and Astronomy, Johns Hopkins University. Abstract These are lecture notes on Neural-Network based Machine Learning, focusing almost entirely on very recent developments that began around 2012. There are a ton of materials on this

  6. Jun 6, 2018 · Jared joined the faculty here as an Assistant Professor in 2012. He works on problems of theoretical physics, with special interests in effective field theory, particle physics, and cosmology, as well as formal aspects of scattering amplitudes, holography, and conformal field theory.

  7. Nov 4, 2020 · Jared Kaplan is an associate professor in the department of physics and astronomy at Johns Hopkins University. Space & Physics November 12, 2020. A Cosmic Video Miniseries...

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