CMB-HD: Astro2020 RFI Response

Kavli Affiliate: David Spergel | First 5 Authors: Neelima Sehgal, Simone Aiola, Yashar Akrami, Kaustuv moni Basu, Michael Boylan-Kolchin | Summary: CMB-HD is a proposed ultra-deep (0.5 uk-arcmin), high-resolution (15 arcseconds) millimeter-wave survey over half the sky that would answer many outstanding questions in both fundamental physics of the Universe and astrophysics. This survey would […]


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Efficient phase-factor evaluation in quantum signal processing

Kavli Affiliate: K. Birgitta Whaley | First 5 Authors: Yulong Dong, Xiang Meng, K. Birgitta Whaley, Lin Lin, | Summary: Quantum signal processing (QSP) is a powerful quantum algorithm to exactly implement matrix polynomials on quantum computers. Asymptotic analysis of quantum algorithms based on QSP has shown that asymptotically optimal results can in principle be […]


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Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing

Kavli Affiliate: Eli Rykoff | First 5 Authors: DES Collaboration, Tim Abbott, Michel Aguena, Alex Alarcon, Sahar Allam | Summary: We perform a joint analysis of the counts and weak lensing signal of redMaPPer clusters selected from the Dark Energy Survey (DES) Year 1 dataset. Our analysis uses the same shear and source photometric redshifts […]


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Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration

Kavli Affiliate: Peter Ford | Summary:Developmental machine learning studies how artificial agents can model the way children learn open-ended repertoires of skills. Such agents need to create and represent goals, select which ones to pursue and learn to achieve them. Recent approaches have considered goal spaces that were either fixed and hand-defined or learned using […]


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Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration

Kavli Affiliate: Peter Ford | First 5 Authors: Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier | Summary: Developmental machine learning studies how artificial agents can model the way children learn open-ended repertoires of skills. Such agents need to create and represent goals, select which ones to pursue and learn to achieve them. […]


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On the Search for Feedback in Reinforcement Learning

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Karthikeya S. Parunandi, Aayushman Sharma, Raman Goyal, Suman Chakravorty | Summary: The problem of Reinforcement Learning (RL) in an unknown nonlinear dynamical system is equivalent to the search for an optimal feedback law utilizing the simulations/ rollouts of the dynamical system. Most RL techniques search […]


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A Cross-Correlation Study of High-energy Neutrinos and Tracers of Large-Scale Structure

Kavli Affiliate: Eric Charles | First 5 Authors: Ke Fang, Arka Banerjee, Eric Charles, Yuuki Omori, | Summary: The origin of the bulk of the astrophysical neutrinos detected by the IceCube Observatory remains a mystery. Previous source-finding analyses compare the directions of IceCube events and individual sources in astrophysical catalogs. The source association method is […]


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The Case for Probe-class NASA Astrophysics Missions

Kavli Affiliate: Angela Olinto | First 5 Authors: Martin Elvis, Jon Arenberg, David Ballantyne, Mark Bautz, Charles Beichman | Summary: Astrophysics spans an enormous range of questions on scales from individual planets to the entire cosmos. To address the richness of 21st century astrophysics requires a corresponding richness of telescopes spanning all bands and all […]


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