Cross Layer Optimization and Distributed Reinforcement Learning for
Wireless 360{\deg} Video Streaming
November 12, 2020
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Computer Science
Electrical Engineering and Systems Science
Machine Learning
Image and Video Processing
Wirelessly streaming high quality 360 degree videos is still a challenging
problem. When there are many users watching different 360 degree videos and
competing for the computing and communication resources, the streaming
algorithm at hand ...
Secure Identification for Gaussian Channels and Identification for
Multi-Antenna Gaussian Channels
November 12, 2020
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Electrical Engineering and Systems Science
Signal Processing
New applications in modern communications are demanding robust and
ultra-reliable low latency information exchange such as machine-to-machine and
human-to-machine communications. For many of these applications, the
identification approach o...
Quantum algorithms for spectral sums
November 12, 2020
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Physics
Computer Science
Quantum Physics
Artificial Intelligence
Data Structures and Algorithms
Machine Learning
We propose new quantum algorithms for estimating spectral sums of positive
semi-definite (PSD) matrices. The spectral sum of an PSD matrix A, for a
function f, is defined as Tr[f(A)]=∑jf(λj), where
λj ar...
The classical double copy in curved spacetimes: Perturbative Yang-Mills
from the bi-adjoint scalar
November 12, 2020
Physics
High Energy Physics - Theory
General Relativity and Quantum Cosmology
We formulate a version of the double copy for classical fields in curved
spacetimes. We provide a correspondence between perturbative solutions to the
bi-adjoint scalar equations and those of the Yang-Mills equations in position
space. At t...
Dependency-based Anomaly Detection: a General Framework and
Comprehensive Evaluation
November 12, 2020
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Computer Science
Machine Learning
Artificial Intelligence
Anomaly detection is crucial for understanding unusual behaviors in data, as
anomalies offer valuable insights. This paper introduces Dependency-based
Anomaly Detection (DepAD), a general framework that utilizes variable
dependencies to unc...
Usefulness of adaptive strategies in asymptotic quantum channel
discrimination
November 12, 2020
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Physics
Computer Science
Mathematics
Quantum Physics
Information Theory
Information Theory
Adaptiveness is a key principle in information processing including
statistics and machine learning. We investigate the usefulness of adaptive
methods in the framework of asymptotic binary hypothesis testing, when each
hypothesis represents...
Optimal Signal Processing for Common Randomness Generation over MIMO
Gaussian Channels with Applications in Identification
November 11, 2020
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Electrical Engineering and Systems Science
Signal Processing
Common randomness (CR), as a resource, is not commonly exploited in existing
practical communication systems. In the CR generation framework, both the
sender and receiver aim to generate a common random variable observable to
both, ideally ...
Gelfand-Tsetlin modules: canonicity and calculations
November 11, 2020
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Mathematics
Representation Theory
Rings and Algebras
In this paper, we give a more down-to-earth introduction to the connection
between Gelfand-Tsetlin modules over gln and diagrammatic KLRW
algebras, and develop some of its consequences. In addition to a new proof of
this descr...
Zero-Field J-spectroscopy of Quadrupolar Nuclei
November 11, 2020
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Physics
Chemical Physics
Zero- to ultralow-field nuclear magnetic resonance (ZULF NMR) is a powerful
version of NMR that allows studying molecules and their transformations in the
regime dominated by intrinsic spin-spin interactions. While spin dynamics at
zero mag...
A p-adic adjoint L-function and the ramification locus of the
Hilbert modular eigenvariety
November 10, 2020
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Mathematics
Number Theory
Let F be a totally real field and E the middle-degree
eigenvariety for Hilbert modular forms over F, constructed by
Bergdall--Hansen. We study the ramification locus of E in relation
to the p-adic properties of...