MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data
April 25, 2023
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Electrical Engineering and Systems Science
Image and Video Processing
Objective: Acquiring fully sampled training data is challenging for many MRI
applications. We present a self-supervised image reconstruction method, termed
ReSiDe, capable of recovering images solely from undersampled data.
Materials and ...
Unifying Emergent Hydrodynamics and Lindbladian Low Energy Spectra
across Symmetries, Constraints, and Long-Range Interactions
April 25, 2023
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Physics
Strongly Correlated Electrons
Statistical Mechanics
Quantum Physics
We identify emergent hydrodynamics governing charge transport in Brownian
random circuits with various symmetries, constraints, and ranges of
interactions. This is accomplished via a mapping between the averaged dynamics
and the low energy ...
Systematic Improvements in Transmon Qubit Coherence Enabled by Niobium
Surface Encapsulation
April 25, 2023
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Physics
Quantum Physics
Materials Science
Superconductivity
We present a novel transmon qubit fabrication technique that yields
systematic improvements in T1​ relaxation times. We fabricate devices using
an encapsulation strategy that involves passivating the surface of niobium and
thereby prevent...
A Moment-SOS Hierarchy for Robust Polynomial Matrix Inequality
Optimization with SOS-Convexity
April 25, 2023
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Mathematics
Optimization and Control
We study a class of polynomial optimization problems with a robust polynomial
matrix inequality (PMI) constraint where the uncertainty set itself is defined
also by a PMI. These can be viewed as matrix generalizations of semi-infinite
polyn...
Differential Privacy via Distributionally Robust Optimization
April 25, 2023
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Computer Science
Mathematics
Cryptography and Security
Machine Learning
Optimization and Control
In recent years, differential privacy has emerged as the de facto standard
for sharing statistics of datasets while limiting the disclosure of private
information about the involved individuals. This is achieved by randomly
perturbing the s...
Network alignment (NA) is the task of discovering node correspondences across
multiple networks. Although NA methods have achieved remarkable success in a
myriad of scenarios, their effectiveness is not without additional information
such a...
Escaping the sentence-level paradigm in machine translation
April 25, 2023
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Computer Science
Computation and Language
It is well-known that document context is vital for resolving a range of
translation ambiguities, and in fact the document setting is the most natural
setting for nearly all translation. It is therefore unfortunate that machine
translation ...
UAV-assisted IoT Monitoring Network: Adaptive Multiuser Access for
Low-Latency and High-Reliability Under Bursty Traffic
April 25, 2023
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Electrical Engineering and Systems Science
Signal Processing
In this work, we propose an adaptive system design for an Internet of Things
(IoT) monitoring network with latency and reliability requirements, where IoT
devices generate time-critical and event-triggered bursty traffic, and an
unmanned ae...
The Generations of Classical Correlations via Quantum Schemes
April 25, 2023
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Physics
Computer Science
Mathematics
Quantum Physics
Information Theory
Information Theory
Suppose two separated parties, Alice and Bob, share a bipartite quantum state
or a classical correlation called a \emph{seed}, and they try to generate a
target classical correlation by performing local quantum or classical
operations on th...
Phylo2Vec: a vector representation for binary trees
April 25, 2023
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Quantitative Biology
Computer Science
Populations and Evolution
Machine Learning
Quantitative Methods
Binary phylogenetic trees inferred from biological data are central to
understanding the shared history among evolutionary units. However, inferring
the placement of latent nodes in a tree is NP-hard and thus computationally
expensive. Stat...