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Explainable AI (XAI) methods aim to describe the decision process of deep
neural networks. Early XAI methods produced visual explanations, whereas more
recent techniques generate multimodal explanations that include textual
information and visual representations. Visual XAI methods have been shown to
be vulnerable to w... | http://arxiv.org/abs/2310.00503v1 |
Regular expressions are widely used in software. Various regular expression
engines support different combinations of extensions to classical regular
constructs such as Kleene star, concatenation, nondeterministic choice (union
in terms of match semantics). The extensions include e.g. anchors, lookarounds,
counters, ba... | http://arxiv.org/abs/2309.14401v1 |
We focus on the task of soundscape mapping, which involves predicting the
most probable sounds that could be perceived at a particular geographic
location. We utilise recent state-of-the-art models to encode geotagged audio,
a textual description of the audio, and an overhead image of its capture
location using contras... | http://arxiv.org/abs/2309.10667v1 |
We study the spectrum of a system of coupled disordered harmonic oscillators
in the thermodynamic limit. This Euclidean random matrix ensemble has been
suggested as model for the low-temperature vibrational properties of glass.
Exact numerical diagonalization is performed in three and two spatial
dimensions, which is a... | http://arxiv.org/abs/2309.08028v2 |
Accurate rainfall forecasting is crucial for effective disaster preparedness
and mitigation in the North-East region of India, which is prone to extreme
weather events such as floods and landslides. In this study, we investigated
the use of two data-driven methods, Dynamic Mode Decomposition (DMD) and Long
Short-Term M... | http://arxiv.org/abs/2309.09336v1 |
Consider the unordered configuration spaces of manifolds. Knudsen, Miller and
Tosteson proved that the extremal homology groups of configuration spaces of
manifold are eventually quasi polynomials. In this paper, we give the precise
degree of top non-trivial quasi polynomials. This shows that the upper bound of
Knudsen... | http://arxiv.org/abs/2309.11579v1 |
Quantum computers are noisy at present in the absence of error correction and
fault tolerance. Interim methods such as error suppression and mitigation find
wide applicability. Another method, which is independent of other error
suppression and mitigation, and can be applied in conjunction with them to
further lower th... | http://arxiv.org/abs/2309.06005v2 |
The online Data Quality Monitoring system (DQM) of the CMS electromagnetic
calorimeter (ECAL) is a crucial operational tool that allows ECAL experts to
quickly identify, localize, and diagnose a broad range of detector issues that
would otherwise hinder physics-quality data taking. Although the existing ECAL
DQM system... | http://arxiv.org/abs/2308.16659v1 |
The flux ratios of gravitationally lensed quasars provide a powerful probe of
the nature of dark matter. Importantly, these ratios are sensitive to
small-scale structure, irrespective of the presence of baryons. This
sensitivity may allow us to study the halo mass function even below the scales
where galaxies form obse... | http://arxiv.org/abs/2309.10101v1 |
The control of Mott phase is intertwined with the spatial reorganization of
the electronic states. Out-of-equilibrium driving forces typically lead to
electronic patterns that are absent at equilibrium, whose nature is however
often elusive. Here, we unveil a nanoscale pattern formation in the
Ca$_2$RuO$_4$ Mott insula... | http://arxiv.org/abs/2305.19596v1 |
Deep learning (DL) shows promise of advantages over conventional signal
processing techniques in a variety of imaging applications. The networks' being
trained from examples of data rather than explicitly designed allows them to
learn signal and noise characteristics to most effectively construct a mapping
from corrupt... | http://arxiv.org/abs/2309.14367v1 |
The black hole (BH) mass and luminosity are key factors in determining how a
quasar interacts with its environment. In this study, we utilise data from the
European Southern Observatory Large Programme XQ-100, a high-quality sample of
100 X-shooter spectra of the most luminous quasars in the redshift range $3.5 <
z < 4... | http://arxiv.org/abs/2310.00271v1 |
Motion planning for autonomous vehicles sharing the road with human drivers
remains challenging. The difficulty arises from three challenging aspects:
human drivers are 1) multi-modal, 2) interacting with the autonomous vehicle,
and 3) actively making decisions based on the current state of the traffic
scene. We propos... | http://arxiv.org/abs/2302.00060v1 |
We report on progress in understanding how to construct color-dual multi-loop
amplitudes. First we identify a cubic theory, semi-abelian Yang-Mills, that
unifies many of the color-dual theories studied in the literature, and provides
a prescriptive approach for constructing $D$-dimensional color-dual numerators
through... | http://arxiv.org/abs/2309.16558v1 |
We demonstrate that the temperature affects the validity of the CHSH
inequality in an open bipartite two-qubit system. Specifically, for initial
entangled states within the decoherence-free subspace (DFS), the CHSH
inequality remains temperature-independent. In contrast, other entangled states
exhibit a temperature thr... | http://arxiv.org/abs/2309.07455v1 |
Many clustering algorithms fail when clusters are of arbitrary shapes, of
varying densities, or the data classes are unbalanced and close to each other,
even in two dimensions. A novel clustering algorithm, DenMune is presented to
meet this challenge. It is based on identifying dense regions using mutual
nearest neighb... | http://arxiv.org/abs/2309.13420v1 |
We establish sharp global regularity of a class of multilinear oscillatory
integral operators that are associated to nonlinear dispersive equations with
both Banach and quasi-Banach target spaces. As a consequence we also prove the
(local in time) continuous dependence on the initial data for solutions of a
large class... | http://arxiv.org/abs/2302.00048v1 |
There has been an exponential increase in the usage of multimedia services in
mobile networks in recent years. To address this accelerating data demand,
mobile networks are experiencing a subtle transformation in their architecture.
One of the changes in this direction is the support of Multicast/Broadcast
Service (MBS... | http://arxiv.org/abs/2309.05242v4 |
Creative workflows for generating graphical documents involve complex
inter-related tasks, such as aligning elements, choosing appropriate fonts, or
employing aesthetically harmonious colors. In this work, we attempt at building
a holistic model that can jointly solve many different design tasks. Our model,
which we de... | http://arxiv.org/abs/2303.18248v1 |
In one dimension, particles can not bypass each other. As a consequence, the
mean-squared displacement (MSD) in equilibrium shows sub-diffusion ${\rm
MSD}(t)\sim t^{1/2}$, instead of normal diffusion ${\rm MSD}(t)\sim t$. This
phenomenon is the so-called single-file diffusion. Here, we investigate how the
above equilib... | http://arxiv.org/abs/2309.03155v4 |
Superconducting diode effect, in analogy to the nonreciprocal resistive
charge transport in semiconducting diode, is a nonreciprocity of
dissipationless supercurrent. Such an exotic phenomenon originates from
intertwining between symmetry-constrained supercurrent transport and intrinsic
quantum functionalities of helic... | http://arxiv.org/abs/2301.13564v1 |
Ray flow methods provide efficient tools for modelling wave energy transport
in complex systems at high-frequencies. We compare two Petrov-Galerkin
discretizations of a phase-space boundary integral model for stationary wave
energy densities in two-dimensional domains. The directional dependence is
approximated using a... | http://arxiv.org/abs/2309.17120v1 |
Traditional quantum system control methods often face different constraints,
and are easy to cause both leakage and stochastic control errors under the
condition of limited resources. Reinforcement learning has been proved as an
efficient way to complete the quantum system control task. To learn a
satisfactory control ... | http://arxiv.org/abs/2310.03036v1 |
Superconducting proximity junctions based on topological insulators are
widely believed to harbor Majorana-like bound states. The latter serves as a
paradigm non-local topological quantum computation protocols. Nowadays, a
search for topological phases in different materials, perspective for a
realization of topologica... | http://arxiv.org/abs/2309.10897v1 |
We address the following open problem, implicit in the 1990 article
"Automorphisms of one-sided subshifts of finite type" of Boyle, Franks and
Kitchens (BFK):
"Does there exists an element $\psi$ in the group of automorphisms of the
one-sided shift $\operatorname{Aut}(\{0,1,\ldots,n-1\}^{\mathbb{N}},
\sigma_{n})$ so ... | http://arxiv.org/abs/2301.13570v2 |
Despite substantial progress in multilingual extractive Question Answering
(QA), models with high and uniformly distributed performance across languages
remain challenging, especially for languages with limited resources. We study
cross-lingual transfer mainly focusing on the Generalized Cross-Lingual
Transfer (G-XLT) ... | http://arxiv.org/abs/2309.17134v1 |
Identifying past wet merger activity in galaxies has been a longstanding
issue in extragalactic formation history studies. Gaia's 6D kinematic
measurements in our Milky Way (MW) have vastly extended the possibilities for
Galactic archaeology, leading to the discovery of early mergers in the MW's
past. As recent work ha... | http://arxiv.org/abs/2309.11545v2 |
In this paper, we study precise deviations including precise large deviations
and moderate deviations for discrete Hawkes processes for large time
asymptotics by using mod-$\phi$ convergence theory. | http://arxiv.org/abs/2309.03627v1 |
This paper considers the problem of developing suitable behavior models of
human evacuees during a robot-guided emergency evacuation. We describe our
recent research developing behavior models of evacuees and potential future
uses of these models. This paper considers how behavior models can contribute
to the developme... | http://arxiv.org/abs/2309.15045v1 |
Although the pre-training followed by fine-tuning paradigm is used
extensively in many fields, there is still some controversy surrounding the
impact of pre-training on the fine-tuning process. Currently, experimental
findings based on text and image data lack consensus. To delve deeper into the
unsupervised pre-traini... | http://arxiv.org/abs/2309.05256v1 |
Existing methods for few-shot speaker identification (FSSI) obtain high
accuracy, but their computational complexities and model sizes need to be
reduced for lightweight applications. In this work, we propose a FSSI method
using a lightweight prototypical network with the final goal to implement the
FSSI on intelligent... | http://arxiv.org/abs/2305.19541v1 |
We present SHAPNN, a novel deep tabular data modeling architecture designed
for supervised learning. Our approach leverages Shapley values, a
well-established technique for explaining black-box models. Our neural network
is trained using standard backward propagation optimization methods, and is
regularized with realti... | http://arxiv.org/abs/2309.08799v1 |
Currently astrometric microlensing is the only tool that can directly measure
the mass of a single star, it can also help us to detect compact objects like
isolated neutron stars and black holes. The number of microlensing events that
are being predicted and reported is increasing. In the paper, the potential
lens star... | http://arxiv.org/abs/2310.20176v1 |
We use the degree of the colored Jones knot polynomials to show that the
crossing number of a $(p,q)$-cable of an adequate knot with crossing number $c$
is larger than $q^2\, c$. As an application we determine the crossing number of
$2$-cables of adequate knots. We also determine the crossing number of the
connected su... | http://arxiv.org/abs/2309.03814v3 |
In this paper we discuss the theory used in the design of an open source
lightmorphic signatures analysis toolkit (LSAT). In addition to providing a
core functionality, the software package enables specific optimizations with
its modular and customizable design. To promote its usage and inspire future
contributions, LS... | http://arxiv.org/abs/2301.00281v1 |
In this paper for every $k\in\mathbb{Z}$ we construct a sequence of weakly
converging homeomorphisms $h_m\colon B(0,10)\to\mathbb{R}^3$,
$h_m\rightharpoonup h$ in $W^{1,2}(B(0,10))$, such that $h_m(x)=x$ on $\partial
B(0,10)$ and for every $r\in \left(\tfrac5{16},\tfrac{7}{16}\right)$ the degree
of $h$ with respect to ... | http://arxiv.org/abs/2310.20610v1 |
Unlike, momentum-dependent Rashba spin-splitting, materials exhibiting
intrinsic momentum-independent unidirectional spin polarization also known as
persistent spin texture (PST) in the full Brillouin zone are scarce. In this
work, a list of characteristic electronic properties for identifying an ideal
PST material is ... | http://arxiv.org/abs/2309.10868v3 |
This article summarizes the literature on trust of digital technologies from
a human-centric perspective. We summarize literature on trust in face-to-face
interactions from other fields, followed by a discussion of organizational
trust, technology-mediated trust, trust of software products, trust of AI, and
blockchain.... | http://arxiv.org/abs/2306.00226v1 |
This note initiates an investigation of packing links into a region of
Euclidean space to achieve a maximal density subject to geometric constraints.
The upper bounds obtained apply only to the class of homotopically essential
links and even there seem extravagantly large, leaving much working room for
the interested r... | http://arxiv.org/abs/2301.00295v2 |
The power-grid frequency reflects the balance between electricity supply and
demand. Measuring the frequency and its variations allows monitoring of the
power balance in the system and, thus, the grid stability. In addition, gaining
insight into the characteristics of frequency variations and defining precise
evaluatio... | http://arxiv.org/abs/2308.16842v1 |
Large Language Models have shown tremendous performance on a large variety of
natural language processing tasks, ranging from text comprehension to common
sense reasoning. However, the mechanisms responsible for this success remain
opaque, and it is unclear whether LLMs can achieve human-like cognitive
capabilities or ... | http://arxiv.org/abs/2305.19555v3 |
Recent advancements in speech synthesis have leveraged GAN-based networks
like HiFi-GAN and BigVGAN to produce high-fidelity waveforms from
mel-spectrograms. However, these networks are computationally expensive and
parameter-heavy. iSTFTNet addresses these limitations by integrating inverse
short-time Fourier transfor... | http://arxiv.org/abs/2309.09493v1 |
Utilizing computer vision and the latest technological advancements, in this
study, we developed a honey bee monitoring system that aims to enhance our
understanding of Colony Collapse Disorder, honey bee behavior, population
decline, and overall hive health. The system is positioned at the hive entrance
providing real... | http://arxiv.org/abs/2309.08955v1 |
We analyze the formation of the redshifted hyperfine structure line 21-cm of
hydrogen atom in the Dark Ages, Cosmic Dawn, and Reionization epochs. The
evolution of the global differential brightness temperature in this line was
computed to study its dependence on the values of cosmological parameters and
physical condi... | http://arxiv.org/abs/2309.15092v1 |
A major challenge for magnetic skyrmions in atomically thin van der Waals
(vdW) materials is reliable skyrmion detection. Here, based on rigorous
first-principles calculations, we show that all-electrical skyrmion detection
is feasible in 2D vdW magnets via scanning tunneling microscopy (STM) and in
planar tunnel junct... | http://arxiv.org/abs/2309.03828v3 |
In this paper, we give a new constructive proof of the semi-orthogonal
decomposition of the derived category of (quasi)-coherent sheaves of root
stacks, through an explicit resolution of the diagonal. | http://arxiv.org/abs/2309.06788v1 |
We study offline model-based optimization to maximize a black-box objective
function with a static dataset of designs and scores. These designs encompass a
variety of domains, including materials, robots and DNA sequences. A common
approach trains a proxy on the static dataset to approximate the black-box
objective fun... | http://arxiv.org/abs/2309.11592v2 |
Reliable real-world deployment of reinforcement learning (RL) methods
requires a nuanced understanding of their strengths and weaknesses and how they
compare to those of humans. Human-machine systems are becoming more prevalent
and the design of these systems relies on a task-oriented understanding of both
human learni... | http://arxiv.org/abs/2306.17766v1 |
Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart's
function and condition in a non-invasive manner. Undersampling of the $k$-space
is employed to reduce the scan duration, thus increasing patient comfort and
reducing the risk of motion artefacts, at the cost of reduced image quality. In
this ... | http://arxiv.org/abs/2309.13385v1 |
In this study, we present a simple multi-channel framework for contrastive
learning (MC-SimCLR) to encode 'what' and 'where' of spatial audios. MC-SimCLR
learns joint spectral and spatial representations from unlabeled spatial
audios, thereby enhancing both event classification and sound localization in
downstream task... | http://arxiv.org/abs/2309.15938v1 |
We present a unifying framework that allows us to study the mixed
crystalline-electromagnetic responses of topological semimetals in spatial
dimensions up to $D = 3$ through dimensional augmentation and reduction
procedures. We show how this framework illuminates relations between the
previously known topological semim... | http://arxiv.org/abs/2309.10840v1 |
Malnutrition poses a significant threat to global health, resulting from an
inadequate intake of essential nutrients that adversely impacts vital organs
and overall bodily functioning. Periodic examinations and mass screenings,
incorporating both conventional and non-invasive techniques, have been employed
to combat th... | http://arxiv.org/abs/2307.16745v1 |
Real neurons connect to each other non-randomly. How the connectivity of
networks of conductance-based neuron models like the classical Hodgkin-Huxley
model, or the Morris-Lecar model, impacts synchronizability remains unknown.
One powerful tool to resolve the synchronizability of these networks is the
Master Stability... | http://arxiv.org/abs/2309.11586v1 |
Let $G$ be a bridgeless cubic graph. In 2023, the three authors solved a
conjecture (also known as the $S_4$-Conjecture) made by Mazzuoccolo in 2013:
there exist two perfect matchings of $G$ such that the complement of their
union is a bipartite subgraph of $G$. They actually show that given any
$1^+$-factor $F$ (a spa... | http://arxiv.org/abs/2309.06944v1 |
A Multilayer Network (MN) is a system consisting of several topological
levels (i.e., layers) representing the interactions between the system's
objects and the related interdependency. Therefore, it may be represented as a
set of layers that can be assimilated to a set of networks of its own objects,
by means inter-la... | http://arxiv.org/abs/2309.07482v1 |
Recent years have seen the rise of large language models (LLMs), where
practitioners use task-specific prompts; this was shown to be effective for a
variety of tasks. However, when applied to semantic textual similarity (STS)
and natural language inference (NLI), the effectiveness of LLMs turns out to be
limited by low... | http://arxiv.org/abs/2309.08969v2 |
Self-supervised training methods for transformers have demonstrated
remarkable performance across various domains. Previous transformer-based
models, such as masked autoencoders (MAE), typically utilize a single
normalization layer for both the [CLS] symbol and the tokens. We propose in
this paper a simple modification... | http://arxiv.org/abs/2309.12931v2 |
Motivational Interviewing (MI) is an approach to therapy that emphasizes
collaboration and encourages behavioral change. To evaluate the quality of an
MI conversation, client utterances can be classified using the MISC code as
either change talk, sustain talk, or follow/neutral talk. The proportion of
change talk in a ... | http://arxiv.org/abs/2309.14398v2 |
Neural language models have exhibited outstanding performance in a range of
downstream tasks. However, there is limited understanding regarding the extent
to which these models internalize syntactic knowledge, so that various datasets
have recently been constructed to facilitate syntactic evaluation of language
models ... | http://arxiv.org/abs/2309.12676v1 |
This work introduces a novel class of channel estimators tailored for coarse
quantization systems. The proposed estimators are founded on conditionally
Gaussian latent generative models, specifically Gaussian mixture models (GMMs),
mixture of factor analyzers (MFAs), and variational autoencoders (VAEs). These
models ef... | http://arxiv.org/abs/2309.04014v2 |
Let $G$ be a finite simple graph with the vertex set $V$ and let $I_G$ be its
edge ideal in the polynomial ring $S=\mathbb{K}[x_V]$. In this paper, we
compute the depth and the Castelnuovo--Mumford regularity of $S/I_G$ when
$G=G_1\circ G_2$ or $G=G_1* G_2$ is a graph obtained from Cohen-Macaulay
bipartite graphs $G_1$... | http://arxiv.org/abs/2309.13568v2 |
The innovations algorithm is a classical recursive forecasting algorithm used
in time series analysis. We develop the innovations algorithm for a class of
nonnegative regularly varying time series models constructed via
transformed-linear arithmetic. In addition to providing the best linear
predictor, the algorithm als... | http://arxiv.org/abs/2309.10061v1 |
The automatic reading of text-intensive images represents a significant
advancement toward achieving Artificial General Intelligence (AGI). In this
paper we present KOSMOS-2.5, a multimodal literate model for machine reading of
text-intensive images. Pre-trained on a large-scale corpus of text-intensive
images, KOSMOS-... | http://arxiv.org/abs/2309.11419v2 |
While Automatic Speech Recognition (ASR) systems are widely used in many
real-world applications, they often do not generalize well to new domains and
need to be finetuned on data from these domains. However, target-domain data
usually are not readily available in many scenarios. In this paper, we propose
a new strateg... | http://arxiv.org/abs/2309.10707v1 |
The Probe Of Extreme Multi-Messenger Astrophysics (POEMMA) was designed as a
NASA Astrophysics probe-class mission to identify the sources of ultrahigh
energy cosmic rays (UHECRs) and observe cosmic neutrinos from extremely
energetic transient sources. POEMMA consists of two identical spacecraft flying
in a loose forma... | http://arxiv.org/abs/2309.14561v1 |
Dynamic analysis enables detecting Windows malware by executing programs in a
controlled environment, and storing their actions in log reports. Previous work
has started training machine learning models on such reports to perform either
malware detection or malware classification. However, most of the approaches
(i) ha... | http://arxiv.org/abs/2310.10664v1 |
Given the recent advances in multimodal image pretraining where visual models
trained with semantically dense textual supervision tend to have better
generalization capabilities than those trained using categorical attributes or
through unsupervised techniques, in this work we investigate how recent CLIP
model can be a... | http://arxiv.org/abs/2309.12110v1 |
The ability of hexagonal boron nitride to host quantum emitters in the form
of deep-level color centers makes it an important material for quantum photonic
applications. This work utilizes a monolithic circular Bragg grating device to
enhance the collection of single photons with 436 nm wavelength emitted from
quantum ... | http://arxiv.org/abs/2309.14575v1 |
Cybersecurity has become a significant issue in the digital era as a result
of the growth in everyday computer use. Cybercriminals now engage in more than
virus distribution and computer hacking. Cyberwarfare has developed as a result
because it has become a threat to a nation's survival. Malware analysis serves
as the... | http://arxiv.org/abs/2310.10670v1 |
This paper introduces a geometric framework for classical cohomological field
theories based on $G^{\star}$-algebras and gauge natural field theories. A
BV-BFV extension of the framework is provided, which incorporates the cotangent
lift of the Donaldson-Witten theory as an illustrative example. | http://arxiv.org/abs/2309.12104v1 |
With the generation of personal and medical data at several locations,
medical data science faces unique challenges when working on distributed
datasets. Growing data protection requirements in recent years drastically
limit the use of personally identifiable information. Distributed data analysis
aims to provide solut... | http://arxiv.org/abs/2309.06171v1 |
We explore orbital implications of the Supermassive Black Hole (SMBH) binary
in UGC4211 for the energy spectrum of stochastic gravitational wave background
(SGWB), measured with pulsar timing. The SMBH binary in UGC4211 has a projected
separation of $\sim 230\,$pc and relative velocity of $\sim 150\,$km/s along
the lin... | http://arxiv.org/abs/2306.17821v3 |
Recently it is shown that the non-relativistic quantum formulations can be
derived from a least observability principle [36]. In this paper, we apply the
principle to massive scalar fields, and derive the Schr\"{o}dinger equation of
the wave functional for the scalar fields. The principle extends the least
action princ... | http://arxiv.org/abs/2310.02274v2 |
The sub-Finslerian geometry means that the metric $F$ is defined only on a
given subbundle of the tangent bundle, called a horizontal bundle. In the
paper, a version of the Hopf-Rinow theorem is proved in the case of
sub-Finslerian manifolds, which relates the properties of completeness,
geodesically completeness, and ... | http://arxiv.org/abs/2301.13438v1 |
Recently, great success has been made in learning visual representations from
text supervision, facilitating the emergence of text-supervised semantic
segmentation. However, existing works focus on pixel grouping and cross-modal
semantic alignment, while ignoring the correspondence among multiple augmented
views of the... | http://arxiv.org/abs/2302.10307v1 |
For a fixed $\theta^2=1/m$, $m \in \mathbb{N}_+$, let $x \in [0, \theta)$ and
$[a_1(x) \theta, a_2(x) \theta, \ldots]$ be the $\theta$-expansion of $x$. Our
first goal is to extend for $\theta$-expansions the results of Jarnik
\cite{J-1928} concerning the set of badly aproximable numbers and the set of
irrationals whos... | http://arxiv.org/abs/2309.12662v1 |
While large pre-trained language models (LLMs) have shown their impressive
capabilities in various NLP tasks, they are still under-explored in the
misinformation domain. In this paper, we examine LLMs with in-context learning
(ICL) for news claim verification, and find that only with 4-shot demonstration
examples, the ... | http://arxiv.org/abs/2310.00305v1 |
Quantitative microstructural analysis of Room Temperature Vulcanized (RTV)
silicone pyrolysis at high temperatures is presented. RTV is used as a bonding
agent in multiple industries, particularly filling gaps in ablative tiles for
hypersonic (re-)entry vehicles and fire prevention. Decomposition of RTV is
resolved in ... | http://arxiv.org/abs/2302.00114v1 |
Starting from full-dimensional models of solute transport, we derive and
analyze multi-dimensional models of time-dependent convection, diffusion, and
exchange in and around pulsating vascular and perivascular networks. These
models are widely applicable for modelling transport in vascularized tissue,
brain perivascula... | http://arxiv.org/abs/2303.17999v1 |
Molecular isomerization kinetics in liquid solvents are determined by a
complex interplay between the friction acting on a rotating dihedral due to
interactions with the solvent, internal dissipation effects (also known as
internal friction), the viscosity of the solvent, and the free energy profile
over which a dihedr... | http://arxiv.org/abs/2309.07521v1 |
Warning: this paper contains content that may be offensive or upsetting.
Most hate speech datasets neglect the cultural diversity within a single
language, resulting in a critical shortcoming in hate speech detection. To
address this, we introduce CREHate, a CRoss-cultural English Hate speech
dataset. To construct CR... | http://arxiv.org/abs/2308.16705v3 |
Predictive algorithms are often trained by optimizing some loss function, to
which regularization functions are added to impose a penalty for violating
constraints. As expected, the addition of such regularization functions can
change the minimizer of the objective. It is not well-understood which
regularizers change t... | http://arxiv.org/abs/2309.11343v2 |
Very recently Harada proposed a gravitational theory which is of third order
in the derivatives of the metric tensor with the property that any solution of
Einstein's field equations (EFEs) possibly with a cosmological constant is
necessarily a solution of the new theory. He then applied his theory to derive
a second-o... | http://arxiv.org/abs/2309.05336v2 |
In this paper, we adopted a retrospective approach to examine and compare
five existing popular sentence encoders, i.e., Sentence-BERT, Universal
Sentence Encoder (USE), LASER, InferSent, and Doc2vec, in terms of their
performance on downstream tasks versus their capability to capture basic
semantic properties. Initial... | http://arxiv.org/abs/2309.03747v1 |
We introduce an efficient stochastic interacting particle-field (SIPF)
algorithm with no history dependence for computing aggregation patterns and
near singular solutions of parabolic-parabolic Keller-Segel (KS) chemotaxis
system in three space dimensions (3D). The KS solutions are approximated as
empirical measures of... | http://arxiv.org/abs/2309.13554v1 |
A key concept in quantum thermodynamics is extractable work, which specifies
the maximum amount of work that can be extracted from a quantum system.
Different quantities are used to measure extractable work, the most prevalent
of which are ergotropy and the difference between the non-equilibrium and
equilibrium quantum... | http://arxiv.org/abs/2309.04996v2 |
State-of-the-art anomalous sound detection systems often utilize angular
margin losses to learn suitable representations of acoustic data using an
auxiliary task, which usually is a supervised or self-supervised classification
task. The underlying idea is that, in order to solve this auxiliary task,
specific informatio... | http://arxiv.org/abs/2309.15643v2 |
Over the past few years, more and more Internet advertisers have started
using automated bidding for optimizing their advertising campaigns. Such
advertisers have an optimization goal (e.g. to maximize conversions), and some
constraints (e.g. a budget or an upper bound on average cost per conversion),
and the automated... | http://arxiv.org/abs/2301.13410v1 |
We study the contact process on a dynamic random~$d$-regular graph with an
edge-switching mechanism, as well as an interacting particle system that arises
from the local description of this process, called the herds process. Both
these processes were introduced in~\cite{da2021contact}; there it was shown
that the herds... | http://arxiv.org/abs/2309.17040v1 |
Orientation recognition and standardization play a crucial role in the
effectiveness of medical image processing tasks. Deep learning-based methods
have proven highly advantageous in orientation recognition and prediction
tasks. In this paper, we address the challenge of imaging orientation in
cardiac MRI and present a... | http://arxiv.org/abs/2308.00615v1 |
The cross-modal synthesis between structural magnetic resonance imaging
(sMRI) and functional network connectivity (FNC) is a relatively unexplored
area in medical imaging, especially with respect to schizophrenia. This study
employs conditional Vision Transformer Generative Adversarial Networks
(cViT-GANs) to generate... | http://arxiv.org/abs/2309.08160v1 |
Firms have access to abundant data on market participants. They use these
data to target contracts to agents with specific characteristics, and describe
these contracts in opaque terms. In response to such practices, recent proposed
regulations aim to increase transparency, especially in digital markets. In
order to un... | http://arxiv.org/abs/2301.13404v1 |
High-precision point cloud anomaly detection is the gold standard for
identifying the defects of advancing machining and precision manufacturing.
Despite some methodological advances in this area, the scarcity of datasets and
the lack of a systematic benchmark hinder its development. We introduce
Real3D-AD, a challengi... | http://arxiv.org/abs/2309.13226v3 |
Quantum algorithms have the potential to enhance machine learning across a
variety of domains and applications. In this work, we show how quantum machine
learning can be used to improve financial forecasting. First, we use classical
and quantum Determinantal Point Processes to enhance Random Forest models for
churn pre... | http://arxiv.org/abs/2306.12965v2 |
Let $G$ be a finite group, $p$ a prime, and $k$ a field of characteristic
$p$. We introduce the notion of an endotrivial chain complex of $p$-permutation
$kG$-modules, which are the invertible objects in the bounded homotopy category
of $p$-permutation $kG$-modules, and study the corresponding Picard group
$\mathcal{E}... | http://arxiv.org/abs/2309.12138v4 |
The Mixture of Experts (MoE) is a widely known neural architecture where an
ensemble of specialized sub-models optimizes overall performance with a
constant computational cost. However, conventional MoEs pose challenges at
scale due to the need to store all experts in memory. In this paper, we push
MoE to the limit. We... | http://arxiv.org/abs/2309.05444v1 |
Twitter (one example of microblogging) is widely being used by researchers to
understand human behavior, specifically how people behave when a significant
event occurs and how it changes user microblogging patterns. The changing
microblogging behavior can reveal patterns that can help in detecting
real-world events. Ho... | http://arxiv.org/abs/2302.00128v1 |
Integrating optical diffraction tomography with imaging flow cytometry
enables label-free quantifications of the three-dimensional (3D) morphology and
hemoglobin content of red blood cells (RBCs) in their natural form.
Self-rotation of RBCs flowing in a microfluidic channel has been utilized to
achieve various projecti... | http://arxiv.org/abs/2309.15131v1 |
This paper describes a series of automated data validation tests for datasets
detailing charity financial information, political donations, and government
lobbying in Canada. We motivate and document a series of 200 tests that check
the validity, internal consistency, and external consistency of these datasets.
We pres... | http://arxiv.org/abs/2309.12886v1 |
Nanoflares are impulsive energy releases by magnetic reconnection in the
braided coronal magnetic field, which is a potential mechanism for heating the
corona. However, there are still sporadic observations of the interchange of
braiding structure segments and footpoints inside coronal loops, which is
predicted to be t... | http://arxiv.org/abs/2309.10049v1 |
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