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We demonstrate a controllable depletion of the nitrogen buffer gas pressure
in a micro-machined cesium (Cs) vapor cell from the dynamic heating of an
alkali dispenser pill. When the alkali source is laser activated, the gettering
compounds within the alkali pill dispenser reduce the nitrogen (N$_2$) content
from the va... | http://arxiv.org/abs/2304.06153v1 |
The work analyses the error in current retrievals from images of marine
radars. The study is based on simulations of waves interacting with a shear
current. The measured dispersion is related to the underlying
wavenumber-dependent effective current. The highest tested radar antenna (H=45
m) with vertical polarization p... | http://arxiv.org/abs/2303.12181v1 |
We present CounterfactualExplanations.jl: a package for generating
Counterfactual Explanations (CE) and Algorithmic Recourse (AR) for black-box
models in Julia. CE explain how inputs into a model need to change to yield
specific model predictions. Explanations that involve realistic and actionable
changes can be used t... | http://arxiv.org/abs/2308.07198v1 |
We investigate the algebraic properties of the coordinate ring of grid
polyominoes. This class of non-simple and thin polyominoes was introduced by
Mascia, Rinaldo, and Romeo, but not much is known about their polyomino ideals,
$I_{\mathcal{P}}$, and their related coordinate ring, $K[\mathcal{P}]$. We give
a formula fo... | http://arxiv.org/abs/2309.01818v1 |
The class imbalance problem in deep learning has been explored in several
studies, but there has yet to be a systematic analysis of this phenomenon in
object detection. Here, we present comprehensive analyses and experiments of
the foreground-background (F-B) imbalance problem in object detection, which is
very common ... | http://arxiv.org/abs/2306.16539v1 |
IoT and edge computing are profoundly changing the information era, bringing
a hyper-connected and context-aware computing environment to reality. Connected
vehicles are a critical outcome of this synergy, allowing for the seamless
interconnection of autonomous mobile/fixed objects, giving rise to a
decentralized vehic... | http://arxiv.org/abs/2303.15836v1 |
Automatic summarization with pre-trained language models has led to
impressively fluent results, but is prone to 'hallucinations', low performance
on non-news genres, and outputs which are not exactly summaries. Targeting ACL
2023's 'Reality Check' theme, we present GUMSum, a small but carefully crafted
dataset of Engl... | http://arxiv.org/abs/2306.11256v1 |
Social influence is a strong determinant of food consumption, which in turn
influences health. Although consistent observations have been made on the role
of social factors in driving similarities in food consumption, much less is
known about the precise governing mechanisms. We study social influence on food
choice th... | http://arxiv.org/abs/2308.16095v1 |
The observation of transient gravitational waves is hindered by the presence
of transient noise, colloquially referred to as glitches. These glitches can
often be misidentified as gravitational waves by searches for unmodeled
transients using the excess-power type of methods and sometimes even excite
template waveforms... | http://arxiv.org/abs/2305.08257v1 |
Classifying perturbative fixed points near upper critical dimensions plays an
important role in understanding the space of conformal field theories and
critical phases of matter. In this work, we consider perturbative fixed points
of $N=5$ scalar bosons coupled with quartic interactions preserving an
arbitrary subgroup... | http://arxiv.org/abs/2306.09419v2 |
Exploring anisotropy and diverse magnetization dynamics in specimens with
vanishing magnetic moments presents a significant challenge using traditional
magnetometry, as the low resolution of existing techniques hinders the ability
to obtain accurate results. In this study, we delve deeper into the examination
of magnet... | http://arxiv.org/abs/2307.06403v1 |
We study the fine-grained complexity of evaluating Boolean Conjunctive
Queries and their generalization to sum-of-product problems over an arbitrary
semiring. For these problems, we present a general semiring-oblivious reduction
from the k-clique problem to any query structure (hypergraph). Our reduction
uses the notio... | http://arxiv.org/abs/2304.14557v2 |
Organ at risk (OAR) segmentation in computed tomography (CT) imagery is a
difficult task for automated segmentation methods and can be crucial for
downstream radiation treatment planning. U-net has become a de-facto standard
for medical image segmentation and is frequently used as a common baseline in
medical image seg... | http://arxiv.org/abs/2303.10796v2 |
Factual correctness is often the limiting factor in practical applications of
natural language generation in high-stakes domains such as healthcare. An
essential requirement for maintaining factuality is the ability to deal with
rare tokens. This paper focuses on rare tokens that appear in both the source
and the refer... | http://arxiv.org/abs/2306.03652v1 |
Recent years have seen growing interest in learning disentangled
representations, in which distinct features, such as size or shape, are
represented by distinct neurons. Quantifying the extent to which a given
representation is disentangled is not straightforward; multiple metrics have
been proposed. In this paper, we ... | http://arxiv.org/abs/2304.02335v1 |
We revisit the flat-sky approximation for evaluating the angular power
spectra of projected random fields by retaining information about the
correlations along the line of sight. With broad, overlapping radial window
functions, these line-of-sight correlations are suppressed and are ignored in
the Limber approximation.... | http://arxiv.org/abs/2307.13768v1 |
We redefine the quantum-MV algebras starting from involutive BE algebras and
we introduce and study the notion of quantum-Wajsberg algebras. We define the
commutative quantum-Wajsberg algebras and we give a characterization of these
structures. We also prove that any Wajsberg algebra is a quantum-Wajsberg
algebra, and ... | http://arxiv.org/abs/2303.16481v4 |
Point processes offer a versatile framework for sequential event modeling.
However, the computational challenges and constrained representational power of
the existing point process models have impeded their potential for wider
applications. This limitation becomes especially pronounced when dealing with
event data tha... | http://arxiv.org/abs/2305.12569v3 |
This is a short note on the log canonical inversion of adjunction. | http://arxiv.org/abs/2308.03498v1 |
Genetic algorithms constitute a family of black-box optimization algorithms,
which take inspiration from the principles of biological evolution. While they
provide a general-purpose tool for optimization, their particular
instantiations can be heuristic and motivated by loose biological intuition. In
this work we explo... | http://arxiv.org/abs/2304.03995v1 |
We present AutoDOViz, an interactive user interface for automated decision
optimization (AutoDO) using reinforcement learning (RL). Decision optimization
(DO) has classically being practiced by dedicated DO researchers where experts
need to spend long periods of time fine tuning a solution through
trial-and-error. Auto... | http://arxiv.org/abs/2302.09688v1 |
The hadronic mass spectrum of inclusive $\bar{B} \to X_s \ell^+ \ell^-$ is
investigated at next to leading order in the heavy quark expansion. For mild
cuts on the hadronic mass, the expansion, which applies when the cut is
released, remains convergent. However, the cuts used at BaBar and Belle to
reduce backgrounds fr... | http://arxiv.org/abs/2306.03134v1 |
This paper studies a novel energy-based cooperative learning framework for
multi-domain image-to-image translation. The framework consists of four
components: descriptor, translator, style encoder, and style generator. The
descriptor is a multi-head energy-based model that represents a multi-domain
image distribution. ... | http://arxiv.org/abs/2306.14448v3 |
Various Large Language Models~(LLMs) from the Generative Pretrained
Transformer(GPT) family have achieved outstanding performances in a wide range
of text generation tasks. However, the enormous model sizes have hindered their
practical use in real-world applications due to high inference latency.
Therefore, improving ... | http://arxiv.org/abs/2310.09499v4 |
We outline a planned experiment to investigate if personal data (e.g.,
demographics and behavioral patterns) can be used to selectively expose
individuals to disinformation such that an adversary can spread disinformation
more efficiently compared to broadcasting the same information to everyone.
This mechanism, if eff... | http://arxiv.org/abs/2306.04883v1 |
The development of advanced generative chat models, such as ChatGPT, has
raised questions about the potential consciousness of these tools and the
extent of their general artificial intelligence. ChatGPT consistent avoidance
of passing the test is here overcome by asking ChatGPT to apply the Turing test
to itself. This... | http://arxiv.org/abs/2304.12898v1 |
Avatar technology can offer accessibility possibilities and improve the
Deaf-and-Hard of Hearing sign language users access to communication, education
and services, such as the healthcare system. However, sign language users
acceptance of signing avatars as well as their attitudes towards them vary and
depend on many ... | http://arxiv.org/abs/2307.02103v1 |
We introduce a modification in the energy-momentum conservation violating
Rastall's theory of gravity and obtain a Reissner-Nordstr\"om-type black hole
solution in spacetime surrounded by a cloud of strings and charge fields. We
examine the horizons of the black hole along with the influence of the
parameters of the mo... | http://arxiv.org/abs/2310.18594v3 |
Drug research and development are embracing translational research for its
potential to increase the number of drugs successfully brought to clinical
applications. Using the publicly available PubMed database, we sought to
describe the status of drug translational research, the distribution of
translational lags for al... | http://arxiv.org/abs/2307.09056v1 |
The mining and exploitation of graph structural information have been the
focal points in the study of complex networks. Traditional structural measures
in Network Science focus on the analysis and modelling of complex networks from
the perspective of network structure, such as the centrality measures, the
clustering c... | http://arxiv.org/abs/2301.04824v1 |
In quantum information theory, the Schmidt rank is a fundamental measure for
the entanglement dimension of a pure bipartite state. Its natural definition
uses the Schmidt decomposition of vectors on bipartite Hilbert spaces, which
does not exist (or at least is not canonically given) if the observable
algebras of the l... | http://arxiv.org/abs/2307.11619v1 |
A covariant, global, variational framework for perturbations in field
theories is presented. Perturbations are obtained as vertical vector fields on
the configuration bundle and they drag, exactly, solution into solutions. The
flow of a perturbation drags solutions into solutions and the dragged perturbed
solutions can... | http://arxiv.org/abs/2310.12907v1 |
Conversational AI systems exhibit a level of human-like behavior that
promises to have profound impacts on many aspects of daily life -- how people
access information, create content, and seek social support. Yet these models
have also shown a propensity for biases, offensive language, and conveying
false information. ... | http://arxiv.org/abs/2306.11530v1 |
This work proposes a semi-empirical model for the SEI growth process during
the early stages of lithium-ion battery formation cycling and aging. By
combining a full-cell model which tracks half-cell equilibrium potentials, a
zero-dimensional model of SEI growth kinetics, and a semi-empirical description
of cell thickne... | http://arxiv.org/abs/2305.18722v2 |
Recent advances in diffusion-based generative models have shown incredible
promise for Image-to-Image translation and editing. Most recent work in this
space relies on additional training or architecture-specific adjustments to the
diffusion process. In this work, we show that much of this low-level control
can be achi... | http://arxiv.org/abs/2306.17141v1 |
Digital holography (DH) has been widely used for imaging and characterization
of micro and nanostructures in materials science and biology and has the
potential to provide high-resolution, non-destructive measurements of fluid
surfaces as well. Digital holographic setups capture the complex wavefronts of
light scattere... | http://arxiv.org/abs/2306.08061v1 |
The ever-increasing demands of computationally expensive and high-dimensional
problems require novel optimization methods to find near-optimal solutions in a
reasonable amount of time. Bayesian Optimization (BO) stands as one of the best
methodologies for learning the underlying relationships within multi-variate
probl... | http://arxiv.org/abs/2305.11060v1 |
The inf-sup condition, also called the Ladyzhenskaya--Babu\v ska--Brezzi
(LBB) condition, ensures the existence, uniqueness and well-posedness of a
saddle point problem, relative to a partial differential equation.
Discretization by the finite element method gives the discrete problem which
must satisfy the discrete in... | http://arxiv.org/abs/2301.04373v1 |
The pairing symmetry in infinite-layer nickelate superconductors has been an
intriguing problem under heated debates. In this work, we study a two-orbital
Hubbard model with one strongly correlated $3d$ orbital and one more itinerant
$5d$ orbital, by using an eight-site cellular dynamic mean field theory study.
We esta... | http://arxiv.org/abs/2310.12250v1 |
Hybrid beamforming (HBF) is a key enabler for wideband terahertz (THz)
massive multiple-input multiple-output (mMIMO) communications systems. A core
challenge with designing HBF systems stems from the fact their application
often involves a non-convex, highly complex optimization of large dimensions.
In this paper, we ... | http://arxiv.org/abs/2302.12041v1 |
We consider a coupled system of partial differential equations describing the
interactions between a closed free interface and two viscous incompressible
fluids. The fluids are assumed to satisfy the incompressible Navier-Stokes
equations in time-dependent domains that are determined by the free interface.
The mean cur... | http://arxiv.org/abs/2306.16908v2 |
Current research on hate speech analysis is typically oriented towards
monolingual and single classification tasks. In this paper, we present a new
multilingual hate speech analysis dataset for English, Hindi, Arabic, French,
German and Spanish languages for multiple domains across hate speech - Abuse,
Racism, Sexism, ... | http://arxiv.org/abs/2304.00913v1 |
The integral expressions served to decompose vector field into irrotational
and divergence-free components represent modern version of the Helmholtz
decomposition theorem. These expressions are also widely used to decompose the
electromagnetic fields. However, an appropriate analysis of application of
these expressions... | http://arxiv.org/abs/2304.09089v1 |
There is a growing interest in device-control systems that can interpret
human natural language instructions and execute them on a digital device by
directly controlling its user interface. We present a dataset for
device-control research, Android in the Wild (AITW), which is orders of
magnitude larger than current dat... | http://arxiv.org/abs/2307.10088v2 |
This work introduces a method to select linear functional measurements of a
vector-valued time series optimized for forecasting distant time-horizons. By
formulating and solving the problem of sequential linear measurement design as
an infinite-horizon problem with the time-averaged trace of the Cram\'{e}r-Rao
lower bo... | http://arxiv.org/abs/2303.15407v1 |
In this paper we discuss the behavior of the Oseen-Frank model for nematic
liquid crystals in the limit of vanishing thickness.
More precisely, in a thin slab~$\Omega\times (0,h)$ with~$\Omega\subset
\mathbb{R}^2$ and $h>0$ we consider the one-constant approximation of the
Oseen-Frank model for nematic liquid crystal... | http://arxiv.org/abs/2307.11396v1 |
Spiking neural networks play an important role in brain-like neuromorphic
computations and in studying working mechanisms of neural circuits. One
drawback of training a large scale spiking neural network is that updating all
weights is quite expensive. Furthermore, after training, all information
related to the computa... | http://arxiv.org/abs/2310.14621v3 |
A dense forest is a set $F \subset \mathbb{R}^n$ with the property that for
all $\varepsilon > 0$ there exists a number $V(\varepsilon) > 0$ such that all
line segments of length $V(\varepsilon)$ are $\varepsilon$-close to a point in
$F$. The function $V$ is called a visibility function of $F$. In this paper we
study d... | http://arxiv.org/abs/2303.14719v2 |
Optical Spectrum as a Service (OSaaS) spanning over multiple transparent
optical network domains, can significantly reduce the investment and
operational costs of the end-to-end service. Based on the black-link approach,
these services are empowered by reconfigurable transceivers and the emerging
disaggregation trend i... | http://arxiv.org/abs/2302.04623v1 |
Open-vocabulary detection (OVD) is an object detection task aiming at
detecting objects from novel categories beyond the base categories on which the
detector is trained. Recent OVD methods rely on large-scale visual-language
pre-trained models, such as CLIP, for recognizing novel objects. We identify
the two core obst... | http://arxiv.org/abs/2303.13076v1 |
We propose Transactional Edge (TransEdge), a distributed transaction
processing system for untrusted environments such as edge computing systems.
What distinguishes TransEdge is its focus on efficient support for read-only
transactions. TransEdge allows reading from different partitions consistently
using one round in ... | http://arxiv.org/abs/2302.08019v1 |
The modified Rodrigues parameters (MRP) consist of two numerically different
triplets that, by switching between them, yield a minimal globally non-singular
attitude description with advantageous properties. The MRP space results from
the Alexandroff compactification of the three-dimensional Euclidean space and
is a do... | http://arxiv.org/abs/2302.01983v2 |
We present a numerical study of relativistic Bondi-Hoyle-Lyttleton (BHL)
accretion onto an asymptotically flat black hole with synchronized hair. The
hair is sourced by an ultralight, complex scalar field, minimally coupled to
Einstein's gravity. Our simulations consider a supersonic flow parametrized by
the asymptotic... | http://arxiv.org/abs/2301.06564v3 |
Whether astrophysical black holes (BHs) can have charge is a question to be
addressed by observations. In the era of gravitational wave (GW) astronomy, one
can constrain the charge of a merged BH remnant using the merger-ringdown
signal of the GW data. Extending earlier studies, we analyze five GW events in
GWTC-3, ass... | http://arxiv.org/abs/2310.10447v2 |
We present a molecular line study of the Sh2-138 (IRAS 22308+5812)
hub-filament system with an aim to investigate its structure and kinematics.
Archival CO molecular line data from the Canadian Galactic Plane Survey
(CO(J=1-0)) for the wider region (50arcminx50arcmin) and the James Clerk
Maxwell Telescope (CO(3-2), 13C... | http://arxiv.org/abs/2302.00445v1 |
Accurate affordance detection and segmentation with pixel precision is an
important piece in many complex systems based on interactions, such as robots
and assitive devices. We present a new approach to affordance perception which
enables accurate multi-label segmentation. Our approach can be used to
automatically extr... | http://arxiv.org/abs/2309.02120v1 |
Gradient preconditioning is a key technique to integrate the second-order
information into gradients for improving and extending gradient-based learning
algorithms. In deep learning, stochasticity, nonconvexity, and high
dimensionality lead to a wide variety of gradient preconditioning methods, with
implementation comp... | http://arxiv.org/abs/2305.04684v1 |
Bessenrodt and Ono, Chen, Wang and Jia, DeSalvo and Pak were the first to
discover the log-subadditivity, log-concavity, and the third-order Tur\'{a}n
inequality of partition function, respectively. Many other important partition
statistics are proved to enjoy similar properties. This paper focuses on the
partition fun... | http://arxiv.org/abs/2308.04678v1 |
Large language models (LLMs) have demonstrated remarkable capabilities in
natural language understanding across various domains, including healthcare and
finance. For some tasks, LLMs achieve similar or better performance than
trained human beings, therefore it is reasonable to employ human exams (e.g.,
certification t... | http://arxiv.org/abs/2310.06225v2 |
Artificial Intelligence (AI) systems have gained significant traction in the
recent past, creating new challenges in requirements engineering (RE) when
building AI software systems. RE for AI practices have not been studied much
and have scarce empirical studies. Additionally, many AI software solutions
tend to focus o... | http://arxiv.org/abs/2302.06034v1 |
We present an innovative method for rapidly segmenting hematoxylin and eosin
(H&E)-stained tissue in whole-slide images (WSIs) that eliminates a wide range
of undesirable artefacts such as pen marks and scanning artefacts. Our method
involves taking a single-channel representation of a lowmagnification RGB
overview of ... | http://arxiv.org/abs/2308.13304v2 |
The modern Mixed Reality devices that make the Metaverse viable require vast
information about the physical world and can also violate the privacy of
unsuspecting or unwilling bystanders in their vicinity. In this article, we
provide an introduction to the problem, existing solutions, and avenues for
future research. | http://arxiv.org/abs/2307.12847v2 |
Perception is often viewed as a process that transforms physical variables,
external to an observer, into internal psychological variables. Such a process
can be modeled by a function coined perceptual scale. The perceptual scale can
be deduced from psychophysical measurements that consist in comparing the
relative dif... | http://arxiv.org/abs/2310.11759v2 |
We present the first active learning tool for fine-grained 3D part labeling,
a problem which challenges even the most advanced deep learning (DL) methods
due to the significant structural variations among the small and intricate
parts. For the same reason, the necessary data annotation effort is tremendous,
motivating ... | http://arxiv.org/abs/2301.10460v2 |
In recent years, there has been a notable surge in research on machine
learning techniques for combinatorial optimization. It has been shown that
learning-based methods outperform traditional heuristics and mathematical
solvers on the Traveling Salesman Problem (TSP) in terms of both performance
and computational effic... | http://arxiv.org/abs/2310.06543v2 |
Structured beams carrying topological defects, namely phase and Stokes
singularities, have gained extensive interest in numerous areas of optics. The
non-separable spin and orbital angular momentum states of hybridly polarized
Stokes singular beams provide additional freedom for manipulating optical
fields. However, th... | http://arxiv.org/abs/2306.05974v1 |
We carry out a detailed study of the three-point fermion-photon interaction
vertex at one loop order for massive fermions in reduced quantum
electrodynamics. This calculation is carried out in arbitrary covariant gauges
and space-time dimensions within a recently proposed innovative approach based
upon an efficient com... | http://arxiv.org/abs/2310.09670v1 |
With an increased focus on incorporating fairness in machine learning models,
it becomes imperative not only to assess and mitigate bias at each stage of the
machine learning pipeline but also to understand the downstream impacts of bias
across stages. Here we consider a general, but realistic, scenario in which a
pred... | http://arxiv.org/abs/2302.06752v1 |
In this work, we address the problem of real-time dense depth estimation from
monocular images for mobile underwater vehicles. We formulate a deep learning
model that fuses sparse depth measurements from triangulated features to
improve the depth predictions and solve the problem of scale ambiguity. To
allow prior inpu... | http://arxiv.org/abs/2310.16750v1 |
The collective behavior of a network with heterogeneous, resource-limited
information processing units (e.g., group of fish, flock of birds, or network
of neurons) demonstrates high self-organization and complexity. These emergent
properties arise from simple interaction rules where certain individuals can
exhibit lead... | http://arxiv.org/abs/2310.07885v1 |
In imitation learning for planning, parameters of heuristic functions are
optimized against a set of solved problem instances. This work revisits the
necessary and sufficient conditions of strictly optimally efficient heuristics
for forward search algorithms, mainly A* and greedy best-first search, which
expand only st... | http://arxiv.org/abs/2310.19463v1 |
We present SemOpenAlex, an extensive RDF knowledge graph that contains over
26 billion triples about scientific publications and their associated entities,
such as authors, institutions, journals, and concepts. SemOpenAlex is licensed
under CC0, providing free and open access to the data. We offer the data
through mult... | http://arxiv.org/abs/2308.03671v1 |
The harmonic numbers and higher-order harmonic numbers appear frequently in
several areas which are related to combinatorial identities, many expressions
involving special functions in analytic number theory, and analysis of
algorithms. The aim of this paper is to study the degenerate harmonic and
degenerate higher-ord... | http://arxiv.org/abs/2308.15013v1 |
The deflagration-to-detonation transition on the tip of an elongated flame in
a tube is shown to be related to a dynamical saddle-node bifurcation of the
inner flame structure leading to a runaway of the pressure in finite time. The
comparison with the experiments shows a good agreement. | http://arxiv.org/abs/2307.05485v1 |
Machine learning-based inverse materials discovery has attracted enormous
attention recently due to its flexibility in dealing with black box models.
Yet, many metaheuristic algorithms are not as widely applied to materials
discovery applications as machine learning methods. There are ongoing
challenges in applying dif... | http://arxiv.org/abs/2309.02646v2 |
Meta-learning aims to solve unseen tasks with few labelled instances.
Nevertheless, despite its effectiveness for quick learning in existing
optimization-based methods, it has several flaws. Inconsequential connections
are frequently seen during meta-training, which results in an
over-parameterized neural network. Beca... | http://arxiv.org/abs/2304.02862v1 |
We establish dispersive estimates and local decay estimates for the time
evolution of non-self-adjoint matrix Schr\"odinger operators with threshold
resonances in one space dimension. In particular, we show that the decay rates
in the weighted setting are the same as in the regular case after subtracting a
finite rank ... | http://arxiv.org/abs/2307.04943v2 |
Most anomaly detection systems try to model normal behavior and assume
anomalies deviate from it in diverse manners. However, there may be patterns in
the anomalies as well. Ideally, an anomaly detection system can exploit
patterns in both normal and anomalous behavior. In this paper, we present
AD-MERCS, an unsupervis... | http://arxiv.org/abs/2305.12958v1 |
Notions of iteration range from the arguably most general Elgot iteration to
a very specific Kleene iteration. The fundamental nature of Elgot iteration has
been extensively explored by Bloom and Esik in the form of iteration theories,
while Kleene iteration became extremely popular as an integral part of
(untyped) for... | http://arxiv.org/abs/2301.06202v2 |
Let $d$ be a square-free integer and $\mathbb{Z}[\sqrt{d}]$ a quadratic ring
of integers. For a given $n\in\mathbb{Z}[\sqrt{d}]$, a set of $m$ non-zero
distinct elements in $\mathbb{Z}[\sqrt{d}]$ is called a Diophantine
$D(n)$-$m$-tuple (or simply $D(n)$-$m$-tuple) in $\mathbb{Z}[\sqrt{d}]$ if
product of any two of the... | http://arxiv.org/abs/2302.04145v2 |
Previously, we introduced a method for systematically correcting a
quasiparticle green's function via a power series expansion. Here we present an
ODE based formalisms of power series correction that goes beyond the cumulant
approximation and implement it to 1D Holstein chain for a wide range of
coupling strengths in a... | http://arxiv.org/abs/2303.03503v1 |
Cracks provide an essential indicator of infrastructure performance
degradation, and achieving high-precision pixel-level crack segmentation is an
issue of concern. Unlike the common research paradigms that adopt novel
artificial intelligence (AI) methods directly, this paper examines the inherent
characteristics of cr... | http://arxiv.org/abs/2306.09196v1 |
In this paper we study geometric aspects of codes in the sum-rank metric. We
establish the geometric description of generalised weights, and analyse the
Delsarte and geometric dual operations. We establish a correspondence between
maximum sum-rank distance codes and h-designs, extending the well-known
correspondence be... | http://arxiv.org/abs/2308.00378v1 |
Networks of coupled nonlinear oscillators can display a wide range of
emergent behaviours under variation of the strength of the coupling. Network
equations for pairs of coupled oscillators where the dynamics of each node is
described by the evolution of its phase and slowest decaying isostable
coordinate have previous... | http://arxiv.org/abs/2310.02725v1 |
To characterize the complex higher-order interactions among variables within
a system, this study introduces a novel framework, termed System Information
Decomposition (SID), aimed at decomposing the information entropy of variables
into information atoms based on their interrelations. Diverging from the
established Pa... | http://arxiv.org/abs/2306.08288v3 |
We compare two formulas for the class of a generic torus orbit closure on the
Grassmannian, due to Klyachko and Berget-Fink. The naturally emerging
combinatorial objects are semi-standard fillings we call 1-strip-less tableaux. | http://arxiv.org/abs/2305.11289v3 |
Community Question-Answering (CQA) portals serve as a valuable tool for
helping users within an organization. However, making them accessible to
non-English-speaking users continues to be a challenge. Translating questions
can broaden the community's reach, benefiting individuals with similar
inquiries in various langu... | http://arxiv.org/abs/2310.15259v1 |
Finding the ground state of a quantum many-body system is a fundamental
problem in quantum physics. In this work, we give a classical machine learning
(ML) algorithm for predicting ground state properties with an inductive bias
encoding geometric locality. The proposed ML model can efficiently predict
ground state prop... | http://arxiv.org/abs/2301.13169v1 |
A fully-coupled-fluid-structure-piezoelectric model is presented based on the
finite element method that is capable of modeling piezoelectric harvesters in
the presence of free-surface flow and floating lightweight harvesters with
arbitrary movements. The Navier-Stokes equations and the phase-field method are
employed ... | http://arxiv.org/abs/2306.11901v1 |
The recently discovered kagome superconductors offer a promising platform for
investigating intertwined orders and novel states, including topology,
superconductivity, charge density waves, and more. The interplay among these
orders can spontaneously break rotational symmetry, giving rise to exotic
phenomena such as ne... | http://arxiv.org/abs/2303.13704v3 |
Recent contrastive language image pre-training has led to learning highly
transferable and robust image representations. However, adapting these models
to video domains with minimal supervision remains an open problem. We explore a
simple step in that direction, using language tied self-supervised learning to
adapt an ... | http://arxiv.org/abs/2307.10922v3 |
Most works on multi-agent reinforcement learning focus on scenarios where the
state of the environment is fully observable. In this work, we consider a
cooperative policy evaluation task in which agents are not assumed to observe
the environment state directly. Instead, agents can only have access to noisy
observations... | http://arxiv.org/abs/2302.04151v2 |
Standard quadratic optimization problems (StQPs) provide a versatile
modelling tool in various applications. In this paper, we consider StQPs with a
hard sparsity constraint, referred to as sparse StQPs. We focus on various
tractable convex relaxations of sparse StQPs arising from a mixed-binary
quadratic formulation, ... | http://arxiv.org/abs/2310.04340v1 |
In this article, we study $m$-order logarithmic Laplacian $\mathcal{L}_m$,
which is a singular integro-differential operator with symbol $\big(2\ln
|\cdot|\big)^m$ by the Fourier transform. With help of these logarithmic
Laplacians, we build the $n$-th order Taylor expansion for fractional Laplacian
with respect to the... | http://arxiv.org/abs/2307.06198v4 |
Rotating quarks and hadronic systems, produced in peripheral heavy ion
collisions, can experience Coriolis force and other forces due to rotational
motion. Considering only the effect of Coriolis force, we have calculated the
electrical conductivity for non-relativistic rotating matter using the
Relaxation Time Approxi... | http://arxiv.org/abs/2305.10183v2 |
As security communities brace for the emerging social automation based
threats, we examine the mechanisms of developing situation awareness in
cyberspace and the governance issues that socialbots bring into this existing
paradigm of cyber situation awareness. We point out that an organisation's
situation awareness in c... | http://arxiv.org/abs/2303.02609v2 |
A state feedback control strategy is proposed for input-output (IO)
decoupling of a class of fully output controllable Boolean control networks
(BCNs). Some necessary and sufficient conditions for BCN IO-decoupling are
presented. As an instrumental tool in our design, we introduce a canonical form
for IO-decoupled BCNs... | http://arxiv.org/abs/2310.02731v1 |
Transformers have emerged as a prominent model framework for audio tagging
(AT), boasting state-of-the-art (SOTA) performance on the widely-used Audioset
dataset. However, their impressive performance often comes at the cost of high
memory usage, slow inference speed, and considerable model delay, rendering
them imprac... | http://arxiv.org/abs/2305.17834v3 |
The ever-growing demands for memory with larger capacity and higher bandwidth
have driven recent innovations on memory expansion and disaggregation
technologies based on Compute eXpress Link (CXL). Especially, CXL-based memory
expansion technology has recently gained notable attention for its ability not
only to econom... | http://arxiv.org/abs/2303.15375v4 |
Given a directed graph of nodes and edges connecting them, a common problem
is to find the shortest path between any two nodes. Here we show that the
shortest path distances can be found by a simple matrix inversion: If the edges
are given by the adjacency matrix $A_{ij}$ then with a suitably small value of
$\gamma$ th... | http://arxiv.org/abs/2308.07403v2 |
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