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In the typical multiagent formation tracking problem centered on consensus,
the prevailing assumption in the literature is that the agents' nonlinear
models can be approximated by integrator systems, by their feedback-linearized
equivalents, or by dynamics composed of deterministic linear and nonlinear
terms. The resul... | http://arxiv.org/abs/2309.09156v1 |
The surface code is a quantum error-correcting code for one logical qubit,
protected by spatially localized parity checks in two dimensions. Due to
fundamental constraints from spatial locality, storing more logical qubits
requires either sacrificing the robustness of the surface code against errors
or increasing the n... | http://arxiv.org/abs/2309.11719v3 |
We compute the stress-tensor two-point function in three-dimensional
Yang-Mills theory to three-loops in perturbation theory. Using its calculable
shape at high momenta, we test the notion that its Borel transform is saturated
at low energies by the lowest glueball state(s). This assumption provides
relatively stable e... | http://arxiv.org/abs/2309.04472v1 |
Automatic detection and severity level classification of dysarthria directly
from acoustic speech signals can be used as a tool in medical diagnosis. In
this work, the pre-trained wav2vec 2.0 model is studied as a feature extractor
to build detection and severity level classification systems for dysarthric
speech. The ... | http://arxiv.org/abs/2309.14107v2 |
Biological tissues transform between solid-like and liquid-like states in
many fundamental physiological events. Recent experimental observations further
suggest that in two-dimensional epithelial tissues these solid-liquid
transformations can happen via intermediate states akin to the intermediate
hexatic phases obser... | http://arxiv.org/abs/2303.00129v2 |
Significant attention has been attracted to deep learning-based depth
estimates. Dynamic objects become the most hard problems in
inter-frame-supervised depth estimates due to the uncertainty in adjacent
frames. Thus, integrating optical flow information with depth estimation is a
feasible solution, as the optical flow... | http://arxiv.org/abs/2310.00011v1 |
Network Architecture Search and specifically Regularized Evolution is a
common way to refine the structure of a deep learning model.However, little is
known about how models empirically evolve over time which has design
implications for designing caching policies, refining the search algorithm for
particular applicatio... | http://arxiv.org/abs/2309.12576v1 |
The COVID-19 pandemic has presented significant challenges to the healthcare
industry and society as a whole. With the rapid development of COVID-19
vaccines, social media platforms have become a popular medium for discussions
on vaccine-related topics. Identifying vaccine-related tweets and analyzing
them can provide ... | http://arxiv.org/abs/2309.06503v1 |
Effective detection of organizations is essential for fighting crime and
maintaining public safety, especially considering the limited human resources
and tools to deal with each group that exhibits co-movement patterns. This
paper focuses on solving the Network Structure Inference (NSI) challenge. Thus,
we introduce t... | http://arxiv.org/abs/2309.00172v1 |
This paper examines the robustness of a multi-modal computer vision model,
CLIP (Contrastive Language-Image Pretraining), in the context of unsupervised
learning. The main objective is twofold: first, to evaluate the robustness of
CLIP, and second, to explore strategies for augmenting its robustness. To
achieve this, w... | http://arxiv.org/abs/2309.10361v1 |
We consider local escape rates and hitting time statistics for unimodal
interval maps of Misiurewicz-Thurston type. We prove that for any point $z$ in
the interval there is a local escape rate and hitting time statistics which is
one of three types. While it is key that we cover all points $z$, the
particular interest ... | http://arxiv.org/abs/2309.09624v1 |
The robotic manipulation of Deformable Linear Objects (DLOs) is a vital and
challenging task that is important in many practical applications. Classical
model-based approaches to this problem require an accurate model to capture how
robot motions affect the deformation of the DLO. Nowadays, data-driven models
offer the... | http://arxiv.org/abs/2309.07609v1 |
A two-component quantum droplet is an attractive mixture of ultracold bosons
stabilised against collapse by quantum fluctuations. Commonly, two-component
quantum droplets are studied within a balanced mixture. However, the mixture
can be imbalanced resulting in a lower energy but less stably bound droplet, or
even a dr... | http://arxiv.org/abs/2309.04300v1 |
In an efficient and flexible human-robot collaborative work environment, a
robot team member must be able to recognize both explicit requests and implied
actions from human users. Identifying "what to do" in such cases requires an
agent to have the ability to construct associations between objects, their
actions, and t... | http://arxiv.org/abs/2309.12562v1 |
We present a neural network for mitigating biased errors in pseudoranges to
improve localization performance with data collected from mobile phones. A
satellite-wise Multilayer Perceptron (MLP) is designed to regress the
pseudorange bias correction from six satellite, receiver, context-related
features derived from And... | http://arxiv.org/abs/2309.12204v2 |
It is well known that any port-Hamiltonian (pH) system is passive, and
conversely, any minimal and stable passive system has a pH representation.
Nevertheless, this equivalence is only concerned with the input-output mapping
but not with the Hamiltonian itself. Thus, we propose to view a pH system
either as an enlarged... | http://arxiv.org/abs/2309.05778v1 |
We investigated the thermoelectric properties of the 2D monolayer of WX2N4
using Density Functional Theory combined with Boltzmann Transport Equation. We
obtained an outstanding thermoelectric figure of merit of 0.91 at 400K for
p-type WGe2N4, whether it showed a ZT value of 0.56 for n-type at the same
temperature. On ... | http://arxiv.org/abs/2303.18014v1 |
We present new linear relations among the masses of S-wave tetraquarks with
either one flavour ($QQ \bar Q \bar Q$) or two ($QQ\bar q \bar q$). Because the
relations are sensitive to the hidden-colour, spin, and spatial degrees of
freedom, comparison to experimental data can help to reveal the internal
structure of tet... | http://arxiv.org/abs/2309.03309v2 |
Here we study the symbiotic stars (SySt) population and its relation with
type Ia supernovae (SNe Ia) in the galaxies of the Local Group. SySt are low-
and/or intermediate-mass evolved binary systems where a white dwarf (WD)
accretes mass from a giant star. A fraction of these WDs can become massive
enough to reach the... | http://arxiv.org/abs/2309.04466v2 |
Grounding dialogue response generation on external knowledge is proposed to
produce informative and engaging responses. However, current knowledge-grounded
dialogue (KGD) systems often fail to align the generated responses with
human-preferred qualities due to several issues like hallucination and the lack
of coherence... | http://arxiv.org/abs/2309.10413v1 |
We define code maps between Calderbank-Shor-Steane (CSS) codes using maps
between chain complexes, and describe code surgery between such codes using a
specific colimit in the category of chain complexes. As well as describing a
surgery operation, this gives a general recipe for new codes. As an application
we describe... | http://arxiv.org/abs/2301.13738v6 |
In scenarios with numerous emergencies that arise and require the assistance
of various rescue units (e.g., medical, fire, \& police forces), the rescue
units would ideally be allocated quickly and distributedly while aiming to
minimize casualties. This is one of many examples of distributed settings with
service provi... | http://arxiv.org/abs/2302.14507v1 |
Graph Neural Networks (GNNs) have gained significant momentum recently due to
their capability to learn on unstructured graph data. Dynamic GNNs (DGNNs) are
the current state-of-the-art for point cloud applications; such applications
(viz. autonomous driving) require real-time processing at the edge with tight
latency ... | http://arxiv.org/abs/2309.09142v1 |
Intelligent reflecting surface (IRS) has emerged as a promising technique to
extend the wireless signal coverage of access point (AP) and improve the
communication performance cost-effectively. In order to reduce the path-loss of
the cascaded user-IRS-AP channels, the IRS-integrated AP architecture has been
proposed to... | http://arxiv.org/abs/2309.12563v2 |
There has been an increasingly widespread agreement among both academic
circles and the general public that the Social Media Platforms (SMPs) play a
central role in the dissemination of harmful and negative sentiment content in
a coordinated manner. A substantial body of recent scholarly research has
demonstrated the w... | http://arxiv.org/abs/2309.07608v1 |
We explore the use of a Neural Ratio Estimator (NRE) to determine the Hubble
constant ($H_0$) in the context of time delay cosmography. Assuming a Singular
Isothermal Ellipsoid (SIE) mass profile for the deflector, we simulate time
delay measurements, image position measurements, and modeled lensing
parameters. We trai... | http://arxiv.org/abs/2309.16063v1 |
In this paper, we introduce a new approach to address the challenge of
generalization in hyperspectral anomaly detection (AD). Our method eliminates
the need for adjusting parameters or retraining on new test scenes as required
by most existing methods. Employing an image-level training paradigm, we
achieve a general a... | http://arxiv.org/abs/2303.18001v1 |
Cyber-physical systems (CPS) provide profitable surfaces for hardware attacks
such as hardware Trojans. Hardware Trojans can implement stealthy attacks such
as leaking critical information, taking control of devices or harm humans. In
this article we review information flow tracking (IFT) methods for protecting
CPS aga... | http://arxiv.org/abs/2301.02620v1 |
We study two-point functions of symmetric traceless local operators in the
bulk of de Sitter spacetime. We derive the K\"all\'en-Lehmann spectral
decomposition for any spin and show that unitarity implies its spectral
densities are nonnegative. In addition, we recover the K\"all\'en-Lehmann
decomposition in Minkowski s... | http://arxiv.org/abs/2306.00090v4 |
Multiple pedestrian tracking faces the challenge of tracking pedestrians in
the presence of occlusion. Existing methods suffer from inaccurate motion
estimation, appearance feature extraction, and association due to occlusion,
leading to inadequate Identification F1-Score (IDF1), excessive ID switches
(IDSw), and insuf... | http://arxiv.org/abs/2309.10360v1 |
Ordinary differential equations (ODEs) are foundational in modeling intricate
dynamics across a gamut of scientific disciplines. Yet, a possibility to
represent a single phenomenon through multiple ODE models, driven by different
understandings of nuances in internal mechanisms or abstraction levels,
presents a model s... | http://arxiv.org/abs/2308.16438v1 |
This paper develops a novel approach to the consensus problem of multi-agent
systems by minimizing a weighted state error with neighbor agents via linear
quadratic (LQ) optimal control theory. Existing consensus control algorithms
only utilize the current state of each agent, and the design of distributed
controller de... | http://arxiv.org/abs/2309.12577v2 |
In this work, we propose the use of a causal collider structured model to
describe the underlying data generative process assumptions in disentangled
representation learning. This extends the conventional i.i.d. factorization
assumption model $p(\mathbf{y}) = \prod_{i} p(\mathbf{y}_i )$, inadequate to
handle learning f... | http://arxiv.org/abs/2303.00128v3 |
Due to the limited field of view (FoV) of Cherenkov telescopes, the time
needed to achieve target sensitivity for surveys of the extragalactic and
Galactic sky is large. To optimize the time spent to perform such surveys, a
so-called "divergent mode" of the Cherenkov Telescope Array Observatory (CTAO)
was proposed as a... | http://arxiv.org/abs/2309.14106v1 |
In a generic theory of gravity coupled to matter fields, the Smarr formula
for black holes does not work properly if the contributions of the coupling
constants defining the theory are not incorporated. However, these couplings,
such as the cosmological constant or the dimensionful parameters that appear in
the Lagrang... | http://arxiv.org/abs/2309.07634v2 |
Proton arc therapy (PAT) has emerged as a promising approach for improving
dose distribution, but also enabling simpler and faster treatment delivery in
comparison to conventional proton treatments. However, the delivery speed
achievable in proton arc relies on dedicated algorithms, which currently do not
generate plan... | http://arxiv.org/abs/2309.08507v2 |
Adversarial purification using generative models demonstrates strong
adversarial defense performance. These methods are classifier and
attack-agnostic, making them versatile but often computationally intensive.
Recent strides in diffusion and score networks have improved image generation
and, by extension, adversarial ... | http://arxiv.org/abs/2309.10348v1 |
The detection of a sub-solar mass black hole could yield dramatic new
insights into the nature of dark matter and early-Universe physics, as such
objects lack a traditional astrophysical formation mechanism. Gravitational
waves allow for the direct measurement of compact object masses during binary
mergers, and we expe... | http://arxiv.org/abs/2305.19907v2 |
Ordered sequences of data, specified with a join operation to combine
sequences, serve as a foundation for the implementation of parallel functional
algorithms. This abstract data type can be elegantly and efficiently
implemented using balanced binary trees, where a join operation is provided to
combine two trees and r... | http://arxiv.org/abs/2309.11056v2 |
We obtain new combinatorial results about polynomial configurations in large
subsets of finite fields and rings by utilizing the phenomenon of asymptotic
total ergodicity (previously studied for actions of $\mathbb{Z}$ on modular
rings $\mathbb{Z}/N\mathbb{Z}$ in [Bergelson--Best, 2023]) in the context of
actions of th... | http://arxiv.org/abs/2303.00100v2 |
We present a new general theory of function-based hypergraph transformations
on finite families of finite hypergraphs. A function-based hypergraph
transformation formalises the action of structurally modifying hypergraphs from
a family in a consistent manner. The mathematical form of the transformations
facilitates the... | http://arxiv.org/abs/2309.13641v1 |
We aim at the stability of time-dependent motions, such as time-periodic
ones, of a rigid body in a viscous fluid filling the exterior to it in 3D. The
fluid motion obeys the incompressible Navier-Stokes system, whereas the motion
of the body is governed by the balance for linear and angular momentum. Both
motions are ... | http://arxiv.org/abs/2309.13127v2 |
Unprojection theory is a philosophy due to Miles Reid, which becomes a useful
tool in algebraic geometry for the construction and the study of new
interesting geometric objects such as algebraic surfaces and 3-folds. In the
present work we introduce a new format of unprojection, which we call the
4-intersection format.... | http://arxiv.org/abs/2309.03334v1 |
In this paper, the dispersive revival and fractalization phenomena for
bidirectional dispersive equations on a bounded interval subject to periodic
boundary conditions and discontinuous initial profiles are investigated.
Firstly, we study the periodic initial-boundary value problem of the linear
beam equation with step... | http://arxiv.org/abs/2309.14890v1 |
Quantization is a technique for creating efficient Deep Neural Networks
(DNNs), which involves performing computations and storing tensors at lower
bit-widths than f32 floating point precision. Quantization reduces model size
and inference latency, and therefore allows for DNNs to be deployed on
platforms with constrai... | http://arxiv.org/abs/2309.17341v1 |
In this paper we develop a framework for studying unstratified, magnetised
eccentric discs and compute uniformly precessing eccentric modes in a
cylindrical annulus which provide convenient initial conditions for numerical
simulations. The presence of a magnetic field in an eccentric disc can be
described by an effecti... | http://arxiv.org/abs/2309.08261v1 |
We have implemented a gated-based quantum version of a restricted Boltzmann
machine for approximating the ground state of a Pauli-decomposed qubit
Hamiltonian. During the implementation and evaluation, we have noticed a
variety of unexpected topics. It starts from limitations due to the structure
of the algorithm itsel... | http://arxiv.org/abs/2301.13705v1 |
Prosodic phrasing is crucial to the naturalness and intelligibility of
end-to-end Text-to-Speech (TTS). There exist both linguistic and emotional
prosody in natural speech. As the study of prosodic phrasing has been
linguistically motivated, prosodic phrasing for expressive emotion rendering
has not been well studied. ... | http://arxiv.org/abs/2309.11724v1 |
The COVID-19 pandemic and its multiple outbreaks have challenged governments
around the world. Much of the epidemiological modeling was based on
pre-pandemic contact information of the population, which changed drastically
due to governmental health measures, so called non-pharmaceutical interventions
made to reduce tr... | http://arxiv.org/abs/2309.07146v1 |
One main challenge for implementing intelligent reflecting surface (IRS)
aided communications lies in the difficulty to obtain the channel knowledge for
the base station (BS)-IRS-user cascaded links, which is needed to design
high-performance IRS reflection in practice. Traditional methods for estimating
IRS cascaded c... | http://arxiv.org/abs/2309.08275v1 |
We introduce a general random model of a combinatorial optimization problem
with geometric structure that encapsulates both linear programming and integer
linear programming. Let $Q$ be a bounded set called the feasible set, $E$ be an
arbitrary set called the constraint set, and $A$ be a random linear transform.
We def... | http://arxiv.org/abs/2309.13133v3 |
Multi-sequence magnetic resonance imaging (MRI) has found wide applications
in both modern clinical studies and deep learning research. However, in
clinical practice, it frequently occurs that one or more of the MRI sequences
are missing due to different image acquisition protocols or contrast agent
contraindications o... | http://arxiv.org/abs/2309.03320v3 |
The Daya Bay Reactor Neutrino Experiment was designed with the primary goal
of precisely measuring the neutrino mixing parameter, $\theta_{13}$. Eight
identically-designed gadolinium-doped liquid scintillator detectors installed
in three underground experimental halls measure the reactor antineutrinos from
six nuclear ... | http://arxiv.org/abs/2309.05989v1 |
Metric learning aims at finding a suitable distance metric over the input
space, to improve the performance of distance-based learning algorithms. In
high-dimensional settings, it can also serve as dimensionality reduction by
imposing a low-rank restriction to the learnt metric. In this paper, we
consider the problem o... | http://arxiv.org/abs/2309.05751v3 |
State machines are used in engineering many types of software-intensive
systems. UML State Machines extend simple finite state machines with powerful
constructs. Among the many extensions, there is one seemingly simple and
innocent language construct that fundamentally changes state machines' reactive
model of computat... | http://arxiv.org/abs/2309.14884v3 |
Skew morphisms, which generalise automorphisms for groups, provide a
fundamental tool for the study of regular Cayley maps and, more generally, for
finite groups with a complementary factorisation $X = GY$, where $Y$ is cyclic
and core-free in $X$. $X$ is called the skew product group associated with $G$
and $Y$.
In ... | http://arxiv.org/abs/2309.03446v1 |
Preserving cultural heritage is of paramount importance. In the domain of art
restoration, developing a computer vision model capable of effectively
restoring deteriorated images of art pieces was difficult, but now we have a
good computer vision state-of-art. Traditional restoration methods are often
time-consuming an... | http://arxiv.org/abs/2309.13655v3 |
Traditional approaches for manipulation planning rely on an explicit
geometric model of the environment to formulate a given task as an optimization
problem. However, inferring an accurate model from raw sensor input is a hard
problem in itself, in particular for articulated objects (e.g., closets,
drawers). In this pa... | http://arxiv.org/abs/2309.07620v1 |
Resource-constrained robots often suffer from energy inefficiencies,
underutilized computational abilities due to inadequate task allocation, and a
lack of robustness in dynamic environments, all of which strongly affect their
performance. This paper introduces DREAM - Decentralized Reinforcement Learning
for Explorati... | http://arxiv.org/abs/2309.17433v1 |
Modern X-ray telescopes have detected hundreds of thousands of X-ray sources
in the universe. However, current methods to classify these sources using the
X-ray data themselves suffer problems - detailed X-ray spectroscopy of
individual sources is too time-consuming, while hardness ratios often lack
accuracy, and can b... | http://arxiv.org/abs/2304.00158v1 |
In this paper, we study McKean-Vlasov SDE living in $\mathbb{R}^d$ in the
reversible case without assuming any type of convexity assumptions for
confinement or interaction potentials. Kramers' type law for the exit-time from
a domain of attraction is established. Namely, in the small-noise regime, the
limit in probabil... | http://arxiv.org/abs/2310.20471v1 |
The equitable distribution of academic data is crucial for ensuring equal
research opportunities, and ultimately further progress. Yet, due to the
complexity of using the API for audio data that corresponds to the Million Song
Dataset along with its misreporting (before 2016) and the discontinuation of
this API (after ... | http://arxiv.org/abs/2308.16389v3 |
The continuous development of computer network technology has accelerated the
pace of informatization, and at the same time, network security issues are
becoming increasingly prominent. Networking technology with different network
topologies is one of the important means to solve network security problems.
The security... | http://arxiv.org/abs/2309.11903v1 |
Channel prediction is critical to address the channel aging issue in mobile
scenarios. Existing channel prediction techniques are mainly designed for
discrete channel prediction, which can only predict the future channel in a
fixed time slot per frame, while the other intra-frame channels are usually
recovered by inter... | http://arxiv.org/abs/2307.16518v1 |
We present a Monte Carlo approach for studying chemical feature distributions
of molecules without training a machine learning model or performing exhaustive
enumeration. The algorithm generates molecules with predefined similarity to a
given one for any representation. It serves as a diagnostic tool to understand
whic... | http://arxiv.org/abs/2309.09194v1 |
Segmentation of the sigmoid colon is a crucial aspect of treating
diverticulitis. It enables accurate identification and localisation of
inflammation, which in turn helps healthcare professionals make informed
decisions about the most appropriate treatment options. This research presents
a novel deep learning architect... | http://arxiv.org/abs/2309.13872v1 |
We investigate the decomposition of the electromagnetic Poynting momentum
density in three-dimensional random monochromatic fields into orbital and spin
parts, using analytical and numerical methods. In sharp contrast with the
paraxial case, the orbital and spin momenta in isotropic random fields are
found to be identi... | http://arxiv.org/abs/2309.07807v3 |
Space agencies execute complex satellite operations that need to be supported
by the technical knowledge contained in their extensive information systems.
Knowledge bases (KB) are an effective way of storing and accessing such
information at scale. In this work we present a system, developed for the
European Space Agen... | http://arxiv.org/abs/2305.19734v1 |
We compute holographic entanglement entropy (EE) and the renormalized EE in
AdS solitons with gauge potential for various dimensions. The renormalized EE
is a cutoff-independent universal component of EE. Via Kaluza-Klein
compactification of $S^1$ and considering the low-energy regime, we deduce the
$(d-1)$-dimensional... | http://arxiv.org/abs/2309.03491v2 |
This paper presents DFL-TORO, a novel Demonstration Framework for Learning
Time-Optimal Robotic tasks via One-shot kinesthetic demonstration. It aims at
optimizing the process of Learning from Demonstration (LfD), applied in the
manufacturing sector. As the effectiveness of LfD is challenged by the quality
and efficien... | http://arxiv.org/abs/2309.09802v3 |
Recent developments have created the ability to quantify information flow
among components that interact in a dynamical system, and have led to
significant advances in characterizing the dependence between the variables
involved. In particular, they have been used to characterize causal dependency
and feedback using ob... | http://arxiv.org/abs/2309.07191v2 |
Let $G$ be a complex reductive algebraic group. In arXiv:2108.03453, we have
defined a finite set of irreducible admissible representations of $G$ called
`unipotent representations', generalizing the special unipotent representations
of Arthur and Barbasch-Vogan. These representations are defined in terms of
filtered q... | http://arxiv.org/abs/2309.14853v1 |
We present a scheme for the generation of a high polarization positron beam
with continous wave (CW) bunch structure for the Continuous Electron Beam
Accelerator Facility (CEBAF) at Jefferson Laboratory (JLab). The positrons are
created in a high average power conversion target and collected by a CW capture
linac and D... | http://arxiv.org/abs/2309.15581v1 |
The development of tactile sensing is expected to enhance robotic systems in
handling complex objects like deformables or reflective materials. However,
readily available industrial grippers generally lack tactile feedback, which
has led researchers to develop their own tactile sensors, resulting in a wide
range of sen... | http://arxiv.org/abs/2309.05792v1 |
Population structure has been known to substantially affect evolutionary
dynamics. Networks that promote the spreading of fitter mutants are called
amplifiers of natural selection, and those that suppress the spreading of
fitter mutants are called suppressors. Research in the past two decades has
found various families... | http://arxiv.org/abs/2304.00170v2 |
Sound can convey significant information for spatial reasoning in our daily
lives. To endow deep networks with such ability, we address the challenge of
dense indoor prediction with sound in both 2D and 3D via cross-modal knowledge
distillation. In this work, we propose a Spatial Alignment via Matching (SAM)
distillati... | http://arxiv.org/abs/2309.11081v1 |
In this study, we introduce new estimation methods for the required rate of
returns on equity and liabilities of private and public companies using the
stochastic dividend discount model (DDM). To estimate the required rate of
return on equity, we use the maximum likelihood method, the Bayesian method,
and the Kalman f... | http://arxiv.org/abs/2305.19708v3 |
Markovian open many-body quantum systems display complicated relaxation
dynamics. The spectral gap of the Liouvillian characterizes the asymptotic
decay rate towards the stationary state, but it has recently been pointed out
that the spectral gap does not necessarily determine the overall relaxation
time. Our understan... | http://arxiv.org/abs/2309.03485v3 |
We consider one-dimensional interacting quantum fluids, such as the
Lieb-Liniger gas. By computing the low-temperature limit of its (generalised)
hydrodynamics we show how in this limit the gas is well described by a
conventional viscous (Navier-Stokes) hydrodynamics for density, fluid velocity
and the local temperatur... | http://arxiv.org/abs/2309.14476v2 |
Given a positive integer $d$, the class $d$-DIR is defined as all those
intersection graphs formed from a finite collection of line segments in
${\mathbb R}^2$ having at most $d$ slopes. Since each slope induces an interval
graph, it easily follows for every $G$ in $d$-DIR with clique number at most
$\omega$ that the c... | http://arxiv.org/abs/2309.06072v1 |
We find kernel functions of the $q$-Heun equation and its variants. We apply
them to obtain $q$-integral transformations of solutions to the $q$-Heun
equation and its variants. We discuss special solutions of the $q$-Heun
equation from the perspective of the $q$-integral transformation. | http://arxiv.org/abs/2309.09341v3 |
This technical document presents the committee driven innovation modeling
methodology "Innovation Modeling Grid" in detail. This document is the
successor of three publications on IMoG and focuses on presenting all details
of the methodology | http://arxiv.org/abs/2309.16507v1 |
We show that if a compact set $E\subset \mathbb{R}^d$ has Hausdorff dimension
larger than $\frac{d}{2}+\frac{1}{4}-\frac{1}{8d+4}$, where $d\geq 3$, then
there is a point $x\in E$ such that the pinned distance set $\Delta_x(E)$ has
positive Lebesgue measure. This improves upon bounds of Du-Zhang and
Du-Iosevich-Ou-Wang... | http://arxiv.org/abs/2309.04103v1 |
We consider a scenario in which dark matter particles are accelerated to
semi-relativistic velocities through their scattering with the Diffuse
Supernova Neutrino Background. Such a subdominant, but more energetic dark
matter component can be then detected via its scattering on the electrons and
nucleons inside direct ... | http://arxiv.org/abs/2309.04117v3 |
The use of Unmanned Aerial Vehicles (UAVs) is rapidly increasing in
applications ranging from surveillance and first-aid missions to industrial
automation involving cooperation with other machines or humans. To maximize
area coverage and reduce mission latency, swarms of collaborating drones have
become a significant r... | http://arxiv.org/abs/2309.03678v1 |
One way of introducing sparsity into deep networks is by attaching an
external table of parameters that is sparsely looked up at different layers of
the network. By storing the bulk of the parameters in the external table, one
can increase the capacity of the model without necessarily increasing the
inference time. Two... | http://arxiv.org/abs/2302.00003v1 |
In this study, we devote our attention to the question of clarifying the
existence of a weak solution to a class of quasilinear double-phase elliptic
equations with logarithmic convection terms under some appropriate assumptions
on data. The proof is based on the surjectivity theorem for the pseudo-monotone
operators a... | http://arxiv.org/abs/2309.06700v2 |
Airborne infection risk analysis is usually performed for enclosed spaces
where susceptible individuals are exposed to infectious airborne respiratory
droplets by inhalation. It is usually based on exponential, dose-response
models of which a widely used variant is the Wells-Riley (WR) model. We revisit
this infection-... | http://arxiv.org/abs/2309.16513v2 |
Chip-scale multimode optomechanical systems have unique benefits for sensing,
metrology and quantum technologies relative to their single-mode counterparts.
Slot-mode optomechanical crystals enable sideband resolution and large
optomechanical couplings of a single optical cavity to two microwave-frequency
mechanical mo... | http://arxiv.org/abs/2308.00058v1 |
Conspiracy theories have become a prominent and concerning aspect of online
discourse, posing challenges to information integrity and societal trust. As
such, we address conspiracy theory detection as proposed by the ACTI @ EVALITA
2023 shared task. The combination of pre-trained sentence Transformer models
and data au... | http://arxiv.org/abs/2309.16275v1 |
Consider a random graph model with $n$ vertices where each vertex has a
vertex-type drawn from some discrete distribution. Suppose that the number of
arcs to be placed between each pair of vertex-types is known, and that each arc
is placed uniformly at random without replacement between one of the
vertex-pairs with mat... | http://arxiv.org/abs/2309.06066v1 |
We introduce the elEmBERT model for chemical classification tasks. It is
based on deep learning techniques, such as a multilayer encoder architecture.
We demonstrate the opportunities offered by our approach on sets of organic,
inorganic and crystalline compounds. In particular, we developed and tested the
model using ... | http://arxiv.org/abs/2309.09355v3 |
We study the effect of a local potential shift induced by a side electrode on
the edge modes at the boundary between gapped and ungapped bilayer graphene. A
potential shift close to the gapped-ungapped boundary causes the emergence of
unprotected edge modes, propagating in both directions along the boundary.
These coun... | http://arxiv.org/abs/2309.12013v1 |
Recent advances with self-supervised learning have allowed speech recognition
systems to achieve state-of-the-art (SOTA) word error rates (WER) while
requiring only a fraction of the labeled training data needed by its
predecessors. Notwithstanding, while such models achieve SOTA performance in
matched train/test condi... | http://arxiv.org/abs/2309.14462v1 |
Hit song prediction, one of the emerging fields in music information
retrieval (MIR), remains a considerable challenge. Being able to understand
what makes a given song a hit is clearly beneficial to the whole music
industry. Previous approaches to hit song prediction have focused on using
audio features of a record. T... | http://arxiv.org/abs/2301.13507v1 |
H$_2$O MegaMaser emission may arise from thin gas discs surrounding the
massive nuclei of galaxies such as NGC\,4258, but the physical conditions
responsible for the amplified emission are unclear. A detailed view of these
regions is possible using the very high angular resolution afforded by space
very long baseline i... | http://arxiv.org/abs/2302.14738v1 |
We investigate weighted Lebesgue space estimates for the Bergman projection
on a simply connected planar domain via the domain's Riemann map. We extend the
bounds which follow from a standard change-of-variable argument in two ways.
First, we provide a regularity condition on the Riemann map, which turns out to
be nece... | http://arxiv.org/abs/2309.15754v3 |
We discuss modern ideas in Monte Carlo algorithms in the simplified setting
of the one-dimensional anharmonic oscillator. After reviewing the connection
between molecular dynamics and Monte Carlo, we introduce to the Metropolis and
the factorized Metropolis algorithms and to lifted non-reversible Markov
chains. We furt... | http://arxiv.org/abs/2309.03136v1 |
As an effective way to alleviate the burden of data annotation,
semi-supervised learning (SSL) provides an attractive solution due to its
ability to leverage both labeled and unlabeled data to build a predictive
model. While significant progress has been made recently, SSL algorithms are
often evaluated and developed u... | http://arxiv.org/abs/2309.04659v1 |
In recent years, wireless networks are evolving complex, which upsurges the
use of zero-touch artificial intelligence (AI)-driven network automation within
the telecommunication industry. In particular, network slicing, the most
promising technology beyond 5G, would embrace AI models to manage the complex
communication... | http://arxiv.org/abs/2309.13325v1 |
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