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Gauss-Bonnet Dark Energy has been a popular model to explain the accelerated
expansion of the Universe. Quite generically it also predicts the speed of
gravitational waves $c_{GW}$ to be different from the speed of light. This fact
alone led some authors to exclude such models in view of the new tight
observational con... | http://arxiv.org/abs/2307.06163v3 |
Entropy estimation is of practical importance in information theory and
statistical science. Many existing entropy estimators suffer from fast growing
estimation bias with respect to dimensionality, rendering them unsuitable for
high-dimensional problems. In this work we propose a transform-based method for
high-dimens... | http://arxiv.org/abs/2304.09700v1 |
Enhancing AI systems to perform tasks following human instructions can
significantly boost productivity. In this paper, we present InstructP2P, an
end-to-end framework for 3D shape editing on point clouds, guided by high-level
textual instructions. InstructP2P extends the capabilities of existing methods
by synergizing... | http://arxiv.org/abs/2306.07154v1 |
Misinformation has become a significant issue in today's society, with the
proliferation of false information through various mediums such as social media
and traditional news sources. The rapid spread of misinformation has made it
increasingly difficult for people to separate truth from fiction, and this has
the poten... | http://arxiv.org/abs/2305.09429v1 |
In the last decades, progress on the quantization of black holes using
techniques developed in loop quantum cosmology has received increasing
attention. Due to the quantum geometry effect, the resulting quantum corrected
black hole is free of singularity. The quantization scheme can be roughly
divided into four types, ... | http://arxiv.org/abs/2308.10184v1 |
In this papar, we point out some mistakes in a proof of an important
combinatorial property of $S(\mathbb{A}_n)$, the set of all minimal vectors of
lattice $\mathbb{A}_n$, and correct them in the last section. This property
plays an essential role in classifying perfect lattices in euclidean space. | http://arxiv.org/abs/2307.00512v1 |
Performing interferometry in an optical lattice formed by standing waves of
light offers potential advantages over its free-space equivalents since the
atoms can be confined and manipulated by the optical potential. We demonstrate
such an interferometer in a one dimensional lattice and show the ability to
control the a... | http://arxiv.org/abs/2305.17603v1 |
A Stackelberg duopoly model in which two firms compete to maximize their
market share is considered. The firms offer a service/product to customers that
are spread over several geographical regions (e.g., countries, provinces, or
states). Each region has its own characteristics (spreading and recovery rates)
of each se... | http://arxiv.org/abs/2307.01618v1 |
Superconductor-semiconductor nanowire hybrid structures are useful in
fabricating devices for quantum information processing. While selective area
growth (SAG) offers the flexibility to grow semiconductor nanowires in
arbitrary geometries, in-situ evaporation of superconductors ensures pristine
superconductor-semicondu... | http://arxiv.org/abs/2303.04297v1 |
Symmetric teleparallel gravity offers to reformulate the gravitational
formalism without the presence of curvature and torsion with the help of
non-metricity tensors. Interestingly, Symmetric teleparallel gravity can be
formulated equivalently to teleparallel gravity or general relativity for an
appropriate setup. In t... | http://arxiv.org/abs/2304.10245v3 |
Complex inner-city junctions are among the most critical traffic areas for
injury and fatal accidents. The development of highly automated driving (HAD)
systems struggles with the complex and hectic everyday life within those areas.
Sensor-equipped smart infrastructures, which can communicate and cooperate with
vehicle... | http://arxiv.org/abs/2307.06177v1 |
We develop a notion of causal order on a generic manifold as independent of
the underlying differential and topological structure. We show that
sufficiently regular causal orders can be recovered from a distinguished
algebra of sets, which plays a role analogous to that of topologies and
$\sigma$ algebras. We then disc... | http://arxiv.org/abs/2304.09714v1 |
The role and implication of binding energy through the accretion-induced
collapse (AIC) of accreting white dwarfs (WDs) for the production of
millisecond pulsars (MSPs) are investigated. I examine the binding energy model
due to the dynamical process in close binary systems and investigating the
possible mass of the co... | http://arxiv.org/abs/2301.05928v1 |
This paper presents a systematic investigation into the effectiveness of
Self-Supervised Learning (SSL) methods for Electrocardiogram (ECG) arrhythmia
detection. We begin by conducting a novel analysis of the data distributions on
three popular ECG-based arrhythmia datasets: PTB-XL, Chapman, and Ribeiro. To
the best of... | http://arxiv.org/abs/2304.06427v2 |
We train an equivariant machine learning model to predict energies and forces
for a real-world study of hydrogen combustion under conditions of finite
temperature and pressure. This challenging case for reactive chemistry
illustrates that ML learned potential energy surfaces (PESs) are always
incomplete as they are ove... | http://arxiv.org/abs/2306.08273v1 |
It is imperative to ensure the robustness of deep learning models in critical
applications such as, healthcare. While recent advances in deep learning have
improved the performance of volumetric medical image segmentation models, these
models cannot be deployed for real-world applications immediately due to their
vulne... | http://arxiv.org/abs/2307.07269v2 |
If $c, \overline c\colon [a,b]\to \mathbb R^2$ are two convex planar curve
parameterized by affine arc length and $A\colon [a,b]\to [0,\infty)$ is the
area bounded by the restriction $c\big|_{[a,s]}$ and the segment between $c(a)$
and $c(s)$ with $\overline A$ the corresponding function for $\overline c$, and
the affin... | http://arxiv.org/abs/2302.03809v1 |
We propose two approaches to extend the notion of knowledge distillation to
Gaussian Process Regression (GPR) and Gaussian Process Classification (GPC);
data-centric and distribution-centric. The data-centric approach resembles most
current distillation techniques for machine learning, and refits a model on
determinist... | http://arxiv.org/abs/2304.02641v1 |
We present SweCTRL-Mini, a large Swedish language model that can be used for
inference and fine-tuning on a single consumer-grade GPU. The model is based on
the CTRL architecture by Keskar, McCann, Varshney, Xiong, and Socher (2019),
which means that users of the SweCTRL-Mini model can control the genre of the
generate... | http://arxiv.org/abs/2304.13994v3 |
We experimentally study a fiber loop laser with an integrated Erbium doped
fiber (EDF). The output optical spectrum is measured as a function of the EDF
temperature. We find that below a critical temperature of about 10K the
measured optical spectrum exhibits a sequence of narrow and unequally-spaced
peaks. Externally ... | http://arxiv.org/abs/2304.04230v1 |
Hardware isolation primitives such as secure enclaves aim to protect
sensitive programs, but remain vulnerable to transient execution attacks.
Complete microarchitectural isolation is not a satisfactory defense mechanism
as it leaves out public shared memory, critical for usability and application
performance. Converse... | http://arxiv.org/abs/2306.14882v4 |
For some hypothesis classes and input distributions, active agnostic learning
needs exponentially fewer samples than passive learning; for other classes and
distributions, it offers little to no improvement. The most popular algorithms
for agnostic active learning express their performance in terms of a parameter
calle... | http://arxiv.org/abs/2310.18786v3 |
Subset weighted-Tempered Gibbs Sampler (wTGS) has been recently introduced by
Jankowiak to reduce the computation complexity per MCMC iteration in
high-dimensional applications where the exact calculation of the posterior
inclusion probabilities (PIP) is not essential. However, the Rao-Backwellized
estimator associated... | http://arxiv.org/abs/2304.02899v1 |
Previously, using an incompressible von K\'arm\'an-Howarth formalism, the
behavior of cross-scale energy transfer in magnetic reconnection and turbulence
was found to be essentially identical to each other, independent of an external
magnetic (guide) field, in the inertial and energy-containing ranges (Adhikari
et al.,... | http://arxiv.org/abs/2310.16973v1 |
A proposal of the existence of an {\em Anomalous} phase ($\mathcal{A}$ phase)
[https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.131.056202 Das et
al., Phys. Rev. Lett. 131, 056202 (2023)] at the experimental range of moderate
Landau-level-mixing strength has recently been made for $5/2$ state. We here
report t... | http://arxiv.org/abs/2301.00850v3 |
Responding to the increasing need for automated writing evaluation (AWE)
systems to assess language use beyond lexis and grammar (Burstein et al.,
2016), we introduce a new approach to identify rhetorical features of stance in
academic English writing. Drawing on the discourse-analytic framework of
engagement in the Ap... | http://arxiv.org/abs/2306.02038v1 |
Congruences, or $2$-parameter families of lines in $3$-space are of interest
in many situations, in particular in geometric optics. In this paper we
consider elements of their geometry which are invariant under affine changes of
co-ordinates, for example that associated with their focal sets, and less well
studied foca... | http://arxiv.org/abs/2307.02311v1 |
In an introductory paper on dollar game played on a graph, Matt Baker wrote
the following: ``The total number of borrowing moves required to win the game
when playing the 'borrowing binge strategy' is independent of which borrowing
moves you do in which order! Note, however, that it is usually possible to win
in fewer ... | http://arxiv.org/abs/2308.12787v1 |
Nonlinear waves have played a historical role in laying the foundations of
the science of complexity. Recently, they have also allowed the development of
a new reservoir computing paradigm: neuromorphic computing by waves. In these
systems, the information transmission acts as the excitation of wave dynamics,
whose evo... | http://arxiv.org/abs/2302.01978v1 |
We design the first node-differentially private algorithm for approximating
the number of connected components in a graph. Given a database representing an
$n$-vertex graph $G$ and a privacy parameter $\varepsilon$, our algorithm runs
in polynomial time and, with probability $1-o(1)$, has additive error
$\widetilde{O}(... | http://arxiv.org/abs/2304.05890v2 |
Aqueous solubility is a valuable yet challenging property to predict.
Computing solubility using first-principles methods requires accounting for the
competing effects of entropy and enthalpy, resulting in long computations for
relatively poor accuracy. Data-driven approaches, such as deep learning, offer
improved accu... | http://arxiv.org/abs/2307.05318v4 |
Aeronautics research has continually sought to achieve the adaptability and
morphing performance of avian wings, but in practice, wings of all scales
continue to use the same hinged control-surface embodiment. Recent research
into compliant and bio-inspired mechanisms for morphing wings and control
surfaces has indicat... | http://arxiv.org/abs/2301.07859v1 |
We investigate the Rayleigh-Taylor instability at the two interfaces in a
phase-separated three-component Bose-Einstein condensate in the mean-field
framework. The subsequent dynamics in the immiscible three-component condensate
has been studied in detail for different cases of instigating the instability
in the system... | http://arxiv.org/abs/2303.00797v1 |
Lagrangian descriptors provide a global dynamical picture of the geometric
structures for arbitrarily time-dependent flows with broad applications. This
paper develops a mathematical framework for computing Lagrangian descriptors
when uncertainty appears. The uncertainty originates from estimating the
underlying flow f... | http://arxiv.org/abs/2307.04006v1 |
Image restoration aims to reconstruct degraded images, e.g., denoising or
deblurring. Existing works focus on designing task-specific methods and there
are inadequate attempts at universal methods. However, simply unifying multiple
tasks into one universal architecture suffers from uncontrollable and undesired
predicti... | http://arxiv.org/abs/2306.13653v1 |
Synchrotron radiation from relativistic electrons is usually invoked as the
responsible for the nonthermal emission observed in Supernova Remnants (SNRs).
Diffusive shock acceleration (DSA) is the most popular mechanism to explain the
process of particles acceleration and within its framework a crucial role is
played b... | http://arxiv.org/abs/2308.15956v1 |
Many dense 3D point clouds have been exploited to represent visual objects
instead of traditional images or videos. To evaluate the perceptual quality of
various point clouds, in this letter, we propose a novel and efficient
Reduced-Reference quality metric for point clouds, which is based on
Content-oriented sAliency ... | http://arxiv.org/abs/2301.07681v1 |
The concept of "deep thermalization" has recently been introduced to
characterize moments of an ensemble of pure states, resulting from projective
measurements on a subsystem, which lie beyond the purview of conventional
Eigenstate Thermalization Hypothesis (ETH). In this work, we study deep
thermalization in systems w... | http://arxiv.org/abs/2307.03769v2 |
Modern information communications use cryptography to keep the contents of
communications confidential. RSA (Rivest-Shamir-Adleman) cryptography and
elliptic curve cryptography, which are public-key cryptosystems, are widely
used cryptographic schemes. However, it is known that these cryptographic
schemes can be deciph... | http://arxiv.org/abs/2305.15772v1 |
Recent work in the domain of speech enhancement has explored the use of
self-supervised speech representations to aid in the training of neural speech
enhancement models. However, much of this work focuses on using the deepest or
final outputs of self supervised speech representation models, rather than the
earlier fea... | http://arxiv.org/abs/2301.04388v3 |
Existing research mostly improves the fairness of Machine Learning (ML)
software regarding a single protected attribute at a time, but this is
unrealistic given that many users have multiple protected attributes. This
paper conducts an extensive study of fairness improvement regarding multiple
protected attributes, cov... | http://arxiv.org/abs/2308.01923v3 |
We extend the theoretical framework of non-local optimized Schwarz methods as
introduced in [Claeys,2021], considering an Helmholtz equation posed in a
bounded cavity supplemented with a variety of conditions modeling material
boundaries. The problem is reformulated equivalently as an equation posed on
the skeleton of ... | http://arxiv.org/abs/2301.02921v2 |
Despite rapid progress in the field, it is still challenging to discover new
ways to take advantage of quantum computation: all quantum algorithms need to
be designed by hand, and quantum mechanics is notoriously counterintuitive. In
this paper, we study how artificial intelligence, in the form of program
synthesis, ma... | http://arxiv.org/abs/2305.01707v1 |
The use of visually-rich documents (VRDs) in various fields has created a
demand for Document AI models that can read and comprehend documents like
humans, which requires the overcoming of technical, linguistic, and cognitive
barriers. Unfortunately, the lack of appropriate datasets has significantly
hindered advanceme... | http://arxiv.org/abs/2310.14802v1 |
X-ray Free Electron Lasers (XFELs) can probe chemical and biological
reactions as they unfold with unprecedented spatial and temporal resolution. A
principal challenge in this pursuit is the delivery of samples to the X-ray
interaction point in a way that produces data of the highest possible quality
and efficiency. Th... | http://arxiv.org/abs/2306.07626v1 |
The field of RNA secondary structure prediction has made significant progress
with the adoption of deep learning techniques. In this work, we present the
RNAformer, a lean deep learning model using axial attention and recycling in
the latent space. We gain performance improvements by designing the
architecture for mode... | http://arxiv.org/abs/2307.10073v1 |
The past few years have seen a revived interest in quantum geometrical
characterizations of band structures due to the rapid development of
topological insulators and semi-metals. Although the metric tensor has been
connected to many geometrical concepts for single bands, the exploration of
these concepts to a multi-ba... | http://arxiv.org/abs/2303.02180v1 |
For Hamiltonian systems with non-canonical structure matrices, a new family
of fourth-order energy-preserving integrators is presented. The integrators
take a form of a combination of Runge--Kutta methods and continuous-stage
Runge--Kutta methods and feature a set of free parameters that offer greater
flexibility and e... | http://arxiv.org/abs/2305.11514v2 |
We implement and explore high-dimensional generalized dark matter (HDGDM)
with an arbitrary equation of state as a function of redshift as an extension
to {\Lambda}CDM.. Exposing this model to CMB, BAO, and supernova data, we
demonstrate that the use of marginalized posterior distributions can easily
lead to misleading... | http://arxiv.org/abs/2307.09522v1 |
Magnons, as fundamental quasiparticles emerged in elementary spin
excitations, hold a big promise for innovating quantum technologies in
information coding and processing. Here we discover subtle roles of
entanglement in a metrological scheme based on an experimentally feasible
cavity magnomechanical system, where the ... | http://arxiv.org/abs/2305.08045v2 |
Word frequency is a strong predictor in most lexical processing tasks. Thus,
any model of word recognition needs to account for how word frequency effects
arise. The Discriminative Lexicon Model (DLM; Baayen et al., 2018a, 2019)
models lexical processing with linear mappings between words' forms and their
meanings. So ... | http://arxiv.org/abs/2306.11044v2 |
This paper addresses the question of how categorical symmetries act on
extended operators in quantum field theory. Building on recent results in two
dimensions, we introduce higher tube categories and algebras associated to
higher fusion category symmetries. We show that twisted sector extended
operators transform in h... | http://arxiv.org/abs/2305.17165v1 |
Remarkable advancements have been made recently in point cloud analysis
through the exploration of transformer architecture, but it remains challenging
to effectively learn local and global structures within point clouds. In this
paper, we propose a new transformer network equipped with a
collect-and-distribute mechani... | http://arxiv.org/abs/2306.01257v2 |
We investigate the finite-size origin of the emission linewidth of a
spatially-extended, one-dimensional non-equilibrium condensate. We show that
the well-known Schawlow-Townes scaling of laser theory, possibly including the
Henry broadening factor, only holds for small system sizes, while in larger
systems the linewid... | http://arxiv.org/abs/2303.03275v1 |
In this paper we study $g$-fractional diffusion on bounded domains in
$\mathbb{R}^d$ with absorbing boundary conditions. We show the explicit
representation of the solution and then we study the first passage time
distribution, showing the dependence on the particular choice of the function
$g$. Then, we specialize the... | http://arxiv.org/abs/2301.12501v2 |
We present an effective application of quantum machine learning in the field
of healthcare. The study here emphasizes on a classification problem of a
histopathological cancer detection using quantum transfer learning. Rather than
using single transfer learning model, the work model presented here consists of
multiple ... | http://arxiv.org/abs/2302.04633v1 |
The solution to partial differential equations using deep learning approaches
has shown promising results for several classes of initial and boundary-value
problems. However, their ability to surpass, particularly in terms of accuracy,
classical discretization methods such as the finite element methods, remains a
signi... | http://arxiv.org/abs/2308.11503v1 |
Many players in the automotive field support scenario-based assessment of
automated vehicles (AVs), where individual traffic situations can be tested
and, thus, facilitate concluding on the performance of AVs in different
situations. Since a large number of different scenarios can occur in real-world
traffic, the quest... | http://arxiv.org/abs/2306.07815v2 |
In this paper, we discuss Galilean relativistic Proca theory in detail. We
first provide a set of mapping relations, derived systematically, that connect
the covariant and contravariant vectors in the Lorentz relativistic and
Galilean relativistic formulations. Exploiting this map, we construct the two
limits of Galile... | http://arxiv.org/abs/2303.13066v2 |
Both experimental and theoretical studies on the microscale and fast physical
phenomena occurring during the growth of vapor bubbles in nucleate pool boiling
are reported. The focus is on the liquid film of micrometric thickness
(``microlayer'') that can form between the heater and the liquid-vapor
interface of a bubbl... | http://arxiv.org/abs/2306.09838v1 |
We undertake a systematic study of the $4$-dimensional $SU(N)$ $2$-index
chiral gauge theories and investigate their faithful global symmetries and
dynamics. These are a finite set of theories with fermions in the $2$-index
symmetric and anti-symmetric representations, with no fundamentals, and they do
not admit a larg... | http://arxiv.org/abs/2308.08052v2 |
Hands, one of the most dynamic parts of our body, suffer from blur due to
their active movements. However, previous 3D hand mesh recovery methods have
mainly focused on sharp hand images rather than considering blur due to the
absence of datasets providing blurry hand images. We first present a novel
dataset BlurHand, ... | http://arxiv.org/abs/2303.15417v1 |
Albeit existing evidence about the impact of AI-based adaptive learning
platforms, their scaled adoption in schools is slow at best. In addition, AI
tools adopted in schools may not always be the considered and studied products
of the research community. Therefore, there have been increasing concerns about
identifying ... | http://arxiv.org/abs/2304.00903v2 |
Fine-tuning pretrained self-supervised language models is widely adopted for
transfer learning to downstream tasks. Fine-tuning can be achieved by freezing
gradients of the pretrained network and only updating gradients of a newly
added classification layer, or by performing gradient updates on all
parameters. Gradual ... | http://arxiv.org/abs/2307.10098v1 |
SplitFed Learning, a combination of Federated and Split Learning (FL and SL),
is one of the most recent developments in the decentralized machine learning
domain. In SplitFed learning, a model is trained by clients and a server
collaboratively. For image segmentation, labels are created at each client
independently and... | http://arxiv.org/abs/2304.14976v1 |
Let $G$ be a finite group with $k$ conjugacy classes, and $S(\infty)$ be the
infinite symmetric group, i.e. the group of finite permutations of
$\left\{1,2,3,\ldots\right\}$. Then the wreath product $G_{\infty}=G\sim
S(\infty)$ of $G$ with $S(\infty)$ (called the big wreath product) can be
defined. The group $G_{\infty... | http://arxiv.org/abs/2303.11671v2 |
Robots need to estimate the material and dynamic properties of objects from
observations in order to simulate them accurately. We present a Bayesian
optimization approach to identifying the material property parameters of
objects based on a set of observations. Our focus is on estimating these
properties based on obser... | http://arxiv.org/abs/2310.11749v1 |
In the study of strongly correlated electrons, one of the challenging core
tasks is to develop the potential techniques for direct detection of the
many-body correlations of strongly correlated electrons. The $(\gamma, 2e)$
photoemission technique has been developed to investigate the two-body
correlations of the targe... | http://arxiv.org/abs/2307.12857v3 |
In this article, we investigate the Single Events Effects (SEE) leading to
Single Event Burnout (SEB) in $\beta$-Ga$_2$O$_3$ MOSFETs. Using Silvaco TCAD,
2D simulations were performed to understand the mechanism behind the SEB
mechanism in lateral Ga$_2$O$_3$ MOSFETS. The high electric fields in the
channel played a cr... | http://arxiv.org/abs/2301.10316v1 |
We demonstrate a method to reduce the number of single-photon detectors
(SPDs) required in multi-party quantum key distribution (QKD) networks by a
factor of two by using detector time multiplexing (DTM). We implement the DTM
scheme for an entanglement-based time-bin protocol and compare QKD results with
and without DT... | http://arxiv.org/abs/2305.14487v1 |
A diffusion probabilistic model (DPM), which constructs a forward diffusion
process by gradually adding noise to data points and learns the reverse
denoising process to generate new samples, has been shown to handle complex
data distribution. Despite its recent success in image synthesis, applying DPMs
to video generat... | http://arxiv.org/abs/2303.08320v4 |
Zodiacal light (ZL) is sunlight scattered by interplanetary dust particles
(IDPs) at optical wavelengths. The spatial distribution of IDPs in the Solar
System may hold an important key to understanding the evolution of the Solar
System and material transportation within it. The number density of IDPs can be
expressed a... | http://arxiv.org/abs/2303.07013v3 |
Generative machine learning models can use data generated by scientific
modeling to create large quantities of novel material structures. Here, we
assess how one state-of-the-art generative model, the physics-guided crystal
generation model (PGCGM), can be used as part of the inverse design process. We
show that the de... | http://arxiv.org/abs/2309.12323v1 |
The ALLIANCE code is developed to solve a new set of four-dimensional
electromagnetic drift-kinetic equations in slab geometry [J. Plasma Phys. 88
905880117 (2022)]. The nonlinear equations are useful for the study of
magnetized plasma systems at scales comparable to, or larger than the ion
gyroradius. In particular, i... | http://arxiv.org/abs/2302.01993v3 |
We present a QCD axion model where the couplings of the axion to nucleons,
electrons, and muons are naturally suppressed because of the appropriate choice
of the Peccei-Quinn charges of the Standard Model fermions. We reexamine
next-to-leading order corrections to the couplings of the axion with nucleons
and photons an... | http://arxiv.org/abs/2301.09647v1 |
Restrictive rules for data sharing in many industries have led to the
development of federated learning. Federated learning is a machine-learning
technique that allows distributed clients to train models collaboratively
without the need to share their respective training data with others. In this
paper, we first explor... | http://arxiv.org/abs/2308.02219v2 |
We introduce HunSum-1: a dataset for Hungarian abstractive summarization,
consisting of 1.14M news articles. The dataset is built by collecting, cleaning
and deduplicating data from 9 major Hungarian news sites through CommonCrawl.
Using this dataset, we build abstractive summarizer models based on huBERT and
mT5. We d... | http://arxiv.org/abs/2302.00455v1 |
Cayley hash functions are cryptographic hashes constructed from Cayley graphs
of groups. The hash function proposed by Shpilrain and Sosnovski (2016), based
on linear functions over a finite field, was proven insecure. This paper shows
that the proposal by Ghaffari and Mostaghim (2018) that uses the Shpilrain and
Sosno... | http://arxiv.org/abs/2308.15765v3 |
Optimizing strongly convex functions subject to linear constraints is a
fundamental problem with numerous applications. In this work, we propose a
block (accelerated) randomized Bregman-Kaczmarz method that only uses a block
of constraints in each iteration to tackle this problem. We consider a dual
formulation of this... | http://arxiv.org/abs/2310.17338v2 |
We propose and experimentally demonstrate a method of frequency hopping
spread spectrum communication using a quantum key distribution network to
deliver the frequency hopping pattern for secure wireless communications.
Results show low interception and jamming probabilities. | http://arxiv.org/abs/2307.05495v1 |
Rising concerns about privacy and anonymity preservation of deep learning
models have facilitated research in data-free learning (DFL). For the first
time, we identify that for data-scarce tasks like Sketch-Based Image Retrieval
(SBIR), where the difficulty in acquiring paired photos and hand-drawn sketches
limits data... | http://arxiv.org/abs/2303.07775v1 |
We present a method to test and monitor structural relationships between time
variables. The distribution of the first eigenvalue for lagged correlation
matrices (Tracy-Widom distribution) is used to test structural time
relationships between variables against the alternative hypothesis
(Independence). This distributio... | http://arxiv.org/abs/2307.04953v2 |
Recent years have seen a rapid increase in the number of CubeSats and other
small satellites in orbit - these have highly constrained computational and
communication resources, but still require robust secure communication to
operate effectively.
The QUIC transport layer protocol is designed to provide efficient
comm... | http://arxiv.org/abs/2305.12948v1 |
In this paper, we consider the problem of open-vocabulary semantic
segmentation (OVS), which aims to segment objects of arbitrary classes instead
of pre-defined, closed-set categories. The main contributions are as follows:
First, we propose a transformer-based model for OVS, termed as OVSegmentor,
which only exploits ... | http://arxiv.org/abs/2301.09121v2 |
This paper presents an analytical approach to explore the damping effect of
inner loops on grid-forming converters. First, an impedance model is proposed
to characterize the behaviors of inner loops, thereby illustrating their
influence on output impedance shaping. Then, based on the impedance
representation, the compl... | http://arxiv.org/abs/2310.09660v1 |
We estimate from above the rate at which a solution to the rescaled mean
curvature flow on a closed hypersurface may converge to a limit self-similar
solution, i.e. a shrinker. Our main result implies that any solution which
converges to a shrinker faster than any fixed exponential rate must itself be
shrinker itself. | http://arxiv.org/abs/2302.06742v1 |
We apply a three-dimensional (3D) approach to investigate the
quasi-stationary states of well-deformed $\alpha$-emitters. With a splitting of
the anisotropic 3D potential into internal and external parts at a separation
surface, the 3D $\alpha$-cluster decay width is determined by the initial wave
function of a true bo... | http://arxiv.org/abs/2307.14598v1 |
We first describe a system of inequalities (Horn's inequalities) that
characterize eigenvalues of sums of Hermitian matrices.
When we apply this system for integral Hermitian matrices, one can directly
test it by using Littlewood-Richardson coefficients.
In this paper, we apply Horn's inequalities to analysis the e... | http://arxiv.org/abs/2303.01304v2 |
We study the effect of diffusion of ultra-high energy cosmic ray (UHECR)
protons in the presence of turbulent magnetic fields in the light of the $f(R)$
theory of gravity. The $f(R)$ theory of gravity is a successful modified theory
of gravity in explaining the various aspects of the observable Universe
including its c... | http://arxiv.org/abs/2303.16678v3 |
In the paper, the transition probability density of isotropic $\alpha$-stable
stochastic process in a finite dimensional Euclidean space is considered. The
results of applying pseudo differential operators with respect spatial
variables to this function are estimated from the both side: above and below.
Operators in th... | http://arxiv.org/abs/2305.12790v1 |
This paper summarizes the CLaC submission for the MultiCoNER 2 task which
concerns the recognition of complex, fine-grained named entities. We compare
two popular approaches for NER, namely Sequence Labeling and Span Prediction.
We find that our best Span Prediction system performs slightly better than our
best Sequenc... | http://arxiv.org/abs/2305.03845v1 |
Retinopathy of Prematurity (ROP) is a potentially blinding eye disorder
because of damage to the eye's retina which can affect babies born prematurely.
Screening of ROP is essential for early detection and treatment. This is a
laborious and manual process which requires trained physician performing
dilated ophthalmolog... | http://arxiv.org/abs/2302.02524v5 |
We consider the case of performing Bayesian inference for stochastic epidemic
compartment models, using incomplete time course data consisting of incidence
counts that are either the number of new infections or removals in time
intervals of fixed length. We eschew the most natural Markov jump process
representation for... | http://arxiv.org/abs/2303.15371v2 |
In this study, we examine how event data from campus management systems can
be used to analyze the study paths of higher education students. The main goal
is to offer valuable guidance for their study planning. We employ process and
data mining techniques to explore the impact of sequences of taken courses on
academic ... | http://arxiv.org/abs/2310.02735v1 |
Lines are interesting geometrical features commonly seen in indoor and urban
environments. There is missing a complete benchmark where one can evaluate
lines from a sequential stream of images in all its stages: Line detection,
Line Association and Pose error. To do so, we present a complete and exhaustive
benchmark fo... | http://arxiv.org/abs/2303.05162v2 |
We consider the dynamics of a charged inertial active Ornstein-Uhlenbeck
particle in a viscoelastic suspension under the action of an uniform magnetic
field. With the help of both numerical simulation and analytical framework, we
exactly investigate the viscoelastic response of the particle to the magnetic
field by mea... | http://arxiv.org/abs/2301.13179v1 |
The past decade has seen an outstanding development of nonthermal particle
acceleration in magnetic reconnection in magnetically-dominated systems, with
clear signatures of power-law energy distributions as a common outcome of
first-principles kinetic simulations. Here we propose a semi-analytical model
for systematica... | http://arxiv.org/abs/2302.12737v2 |
Learning with noisy labels (LNL) aims to train a high-performing model using
a noisy dataset. We observe that noise for a given class often comes from a
limited set of categories, yet many LNL methods overlook this. For example, an
image mislabeled as a cheetah is more likely a leopard than a hippopotamus due
to its vi... | http://arxiv.org/abs/2306.11911v2 |
Let $\phi$ be an $L^2$-normalized Hecke--Maa{\ss} cusp form for
$\mathrm{PGL}_n(\mathbb{Z}[i])$ on the locally symmetric space
$X:=\mathrm{PGL}_n(\mathbb{Z}[i])\backslash \mathrm{PGL}_n(\mathbb{C}) /
\mathrm{PU}_n$. If $\Omega$ is a compact subset of $X$, then we prove the bound
$\|\phi|_{\Omega}\|_{\infty}\ll_{\Omega}... | http://arxiv.org/abs/2301.04405v1 |
3D scene graph prediction is a task that aims to concurrently predict object
classes and their relationships within a 3D environment. As these environments
are primarily designed by and for humans, incorporating commonsense knowledge
regarding objects and their relationships can significantly constrain and
enhance the ... | http://arxiv.org/abs/2308.06719v1 |
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