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While crystal structure prediction (CSP) remains a longstanding challenge, we
introduce ParetoCSP, a novel algorithm for CSP, which combines a
multi-objective genetic algorithm (MOGA) with a neural network inter-atomic
potential (IAP) model to find energetically optimal crystal structures given
chemical compositions. W... | http://arxiv.org/abs/2309.06710v1 |
Organisms from microbes to humans engage in a variety of social behaviors,
which affect fitness in complex, often nonlinear ways. The question of how
these behaviors evolve has consequences ranging from antibiotic resistance to
human origins. However, evolution with nonlinear social interactions is
challenging to model... | http://arxiv.org/abs/2302.14700v2 |
In this paper, we propose FinVis-GPT, a novel multimodal large language model
(LLM) specifically designed for financial chart analysis. By leveraging the
power of LLMs and incorporating instruction tuning and multimodal capabilities,
FinVis-GPT is capable of interpreting financial charts and providing valuable
analysis... | http://arxiv.org/abs/2308.01430v1 |
The first step toward planet formation is grain growth from (sub-)micrometer
to millimeter/centimeter sizes. Grain growth has been reported not only in
Class II protoplanetary disks but also in Class 0/I protostellar envelopes.
However, early-stage grain growth occurring in Class 0/I stages has rarely been
observed on ... | http://arxiv.org/abs/2309.06076v1 |
We consider a classial case of irrational integrals containing a square root
of a quadratic polynomial. It is well known that they can be expressed in terms
of elementary functions by one of three Euler's substitutions. It is less known
that the Euler substittutions have a beautiful geometric interpretation. In the
fra... | http://arxiv.org/abs/2310.12160v1 |
Most dynamics functions are not well-aligned to task requirements.
Controllers, therefore, often invert the dynamics and reshape it into something
more useful. The learning community has found that these controllers, such as
Operational Space Control (OSC), can offer important inductive biases for
training. However, OS... | http://arxiv.org/abs/2309.07368v1 |
The mathematics of general relativistic shock waves is introduced and
considered in a cosmological context. In particular, an expanding
Friedmann-Roberson-Walker metric is matched to a Tolman-Oppenheimer-Volkoff
metric across a spherical shock surface. This is the general relativistic
analogue of a shock-wave explosion... | http://arxiv.org/abs/2309.14472v1 |
We propose a data-driven approach for context-aware person image generation.
Specifically, we attempt to generate a person image such that the synthesized
instance can blend into a complex scene. In our method, the position, scale,
and appearance of the generated person are semantically conditioned on the
existing pers... | http://arxiv.org/abs/2302.14728v1 |
In recent years, the CHIME (Canadian Hydrogen Intensity Mapping Experiment)
interferometer has revealed a large number of Fast Radio Bursts (FRBs),
including a sizable population that demonstrates repeating behavior. This
transit facility, employing a real-time FRB search pipeline, continually scans
the sky with declin... | http://arxiv.org/abs/2309.11522v2 |
The proliferation of unmanned vehicles offers many opportunities for solving
environmental sampling tasks with applications in resource monitoring and
precision agriculture. Informative path planning (IPP) includes a family of
methods which offer improvements over traditional surveying techniques for
suggesting locatio... | http://arxiv.org/abs/2309.07340v1 |
Quantum oscillations in magnetic torque and electrical resistivity were
measured to investigate the electronic structure of \b{eta}-ReO2, a candidate
hourglass nodal chain metal (Dirac loop chain metal). All the de Haas-van
Alphen oscillation branches measured at 30 mK in magnetic fields of up to 17.5
T were consistent... | http://arxiv.org/abs/2309.08073v1 |
The survival time of a star cluster depends on its total mass, density, and
thus size, as well as on the environment in which it was born and in which
lies. Its dynamical evolution is influenced by various factors such as
gravitational effects of the Galactic bar, spiral structures, and molecular
clouds. Overall, the f... | http://arxiv.org/abs/2309.17153v1 |
With the advent of new technologies and endeavors for automation in almost
all day-to-day activities, the recent discussions on the metaverse life have a
greater expectation. Furthermore, we are in the era of the fifth industrial
revolution, where machines and humans collaborate to maximize productivity with
the effect... | http://arxiv.org/abs/2308.02677v1 |
The aim of this note is to show that many papers on various kinds of filters
(and related concepts) in (subreducts of) residuated structures are in fact
easy consequences of more general results that have been known for a long time. | http://arxiv.org/abs/2309.15022v1 |
Background
Even-even isotopes of Mo ($Z=42$) and Ru ($Z=44$) are nuclei close to the
subshell closure at $Z=40$, where shape coexistence plays a significant role.
As a result, their spectroscopic properties are expected to resemble those of
Sr ($Z=38$) and Zr ($Z=40$). Exploring the evolution of these properties as
t... | http://arxiv.org/abs/2309.07426v1 |
Anomaly detection and its explanation is important in many research areas
such as intrusion detection, fraud detection, unknown attack detection in
network traffic and logs. It is challenging to identify the cause or
explanation of why one instance is an anomaly? and the other is not due to its
unbounded and lack of su... | http://arxiv.org/abs/2308.00074v1 |
In this work, we address the challenge of encoding speech captured by a
microphone array using deep learning techniques with the aim of preserving and
accurately reconstructing crucial spatial cues embedded in multi-channel
recordings. We propose a neural spatial audio coding framework that achieves a
high compression ... | http://arxiv.org/abs/2309.07432v2 |
Ordinal classification models assign higher penalties to predictions further
away from the true class. As a result, they are appropriate for relevant
diagnostic tasks like disease progression prediction or medical image grading.
The consensus for assessing their categorical predictions dictates the use of
distance-sens... | http://arxiv.org/abs/2309.08701v1 |
When viewed from Earth, most of what we observe of a comet is dust. The
influence of solar radiation pressure on the trajectories of dust particles
depends on their cross-section to mass ratio. Hence solar radiation pressure
acts like a mass spectrometer inside a cometary tail. The appearances of
cometary dust tails ha... | http://arxiv.org/abs/2309.12759v2 |
We consider a sequence $(p_n)_{n=1}^\infty$ of polynomials with uniformly
bounded zeros and $\deg p_1\geq 1$, $\deg p_n\geq 2$ for $n\geq 2$, satisfying
certain asymptotic conditions. We prove that the function sequence
$\left(\frac{1}{\deg p_n\cdot...\cdot \deg p_1}\log^+|p_n\circ...\circ
p_1|\right)_{n=1}^\infty$ is ... | http://arxiv.org/abs/2309.13447v2 |
Mean-field models have the ability to predict grain size distribution
evolution occurring through thermomechanical solicitations. This article
focuses on a comparison of mean-field models under grain growth conditions.
Different microstructure representations are considered and discussed,
especially regarding the consi... | http://arxiv.org/abs/2310.18317v1 |
As the maximum RF input and output frequencies of the integrated data
converters in RFSoC increase, it becomes practical to digitize and synthesize
RF signals in the majority of C band directly without analogue up and down
mixing circuits. The elimination of the mixer circuits can significantly
simplify the architectur... | http://arxiv.org/abs/2309.08067v1 |
Eight pairs of rare earth normally deformed nuclei around the isobaric nuclei
with A = 164 and have identical values of F-spin have been studied. These pairs
of identical bands cover 16 mass units and are classified. We suggested a
theoretical collective rotational formula containing three parameters (CRF3) as
an exten... | http://arxiv.org/abs/2301.13503v1 |
Two main procedures characterize the way in which social actors evaluate the
qualities of the options in decision-making processes: they either seek to
evaluate their intrinsic qualities (individual learners), or they rely on the
opinion of the others (social learners). For the latter, social experiments
have suggested... | http://arxiv.org/abs/2309.10628v2 |
The present paper proposes an encoder-decoder model for extracting the
structures of human motions represented by frame-wise discrete features in a
self-supervised manner. In the proposed method, features are extracted as codes
in a motion codebook without the use of human knowledge, and the relationship
between these ... | http://arxiv.org/abs/2309.05972v1 |
In this study, we investigate the mass spectrum of $\pi$ and $\sigma$ mesons
at finite chemical potential using the self-consistent NJL model and the
Fierz-transformed interaction Lagrangian. The model introduces an arbitrary
parameter $\alpha$ to reflect the weights of the Fierz-transformed interaction
channels. We sh... | http://arxiv.org/abs/2305.00507v2 |
Safety controllers is widely used to achieve safe reinforcement learning.
Most methods that apply a safety controller are using handcrafted safety
constraints to construct the safety controller. However, when the environment
dynamics are sophisticated, handcrafted safety constraints become unavailable.
Therefore, it wo... | http://arxiv.org/abs/2309.11907v1 |
Entanglement is a distinguishing feature of quantum many-body systems, and
uncovering the entanglement structure for large particle numbers in quantum
simulation experiments is a fundamental challenge in quantum information
science. Here we perform experimental investigations of entanglement based on
the entanglement H... | http://arxiv.org/abs/2306.00057v1 |
The present work introduces a robust way to generate attosecond pulses with
tunable ellipticity via high-order harmonic generation by co-rotating $\omega -
2\omega$ bicircular laser fields. The total electric field of the laser fields
exhibits an absence of rotational symmetry, which leads to the generation of
high har... | http://arxiv.org/abs/2305.00513v1 |
In the present work, we study the possible production of the heavy neutral
dark gauge boson (A$^{\prime}$) candidates, which originated from a simplified
model based on the Einstein-Cartan gravity, in association with dark matter.
This study has been performed by studying events with dimuon plus missing
transverse ener... | http://arxiv.org/abs/2309.09184v6 |
Learned video compression (LVC) has witnessed remarkable advancements in
recent years. Similar as the traditional video coding, LVC inherits motion
estimation/compensation, residual coding and other modules, all of which are
implemented with neural networks (NNs). However, within the framework of NNs
and its training m... | http://arxiv.org/abs/2309.11913v1 |
In this paper, we introduce Linked Papers With Code (LPWC), an RDF knowledge
graph that provides comprehensive, current information about almost 400,000
machine learning publications. This includes the tasks addressed, the datasets
utilized, the methods implemented, and the evaluations conducted, along with
their resul... | http://arxiv.org/abs/2310.20475v1 |
This research investigates centered co-circular central configurations in the
general power-law potential $n$-body problem. Firstly, there are no such
configurations when all masses are equal, except for two; secondly, unless all
masses are equal, no such configurations exist when masses can be divided into
two sets of... | http://arxiv.org/abs/2310.20313v1 |
Adoption and deployment of robotic and autonomous systems in industry are
currently hindered by the lack of transparency, required for safety and
accountability. Methods for providing explanations are needed that are agnostic
to the underlying autonomous system and easily updated. Furthermore, different
stakeholders wi... | http://arxiv.org/abs/2305.19724v1 |
Due to common architecture designs, symmetries exist extensively in
contemporary neural networks. In this work, we unveil the importance of the
loss function symmetries in affecting, if not deciding, the learning behavior
of machine learning models. We prove that every mirror-reflection symmetry,
with reflection surfac... | http://arxiv.org/abs/2309.16932v2 |
Large Language Models (LLMs) have consistently showcased remarkable
generalization capabilities when applied to various language tasks.
Nonetheless, harnessing the full potential of LLMs for Radiology Report
Generation (R2Gen) still presents a challenge, stemming from the inherent
disparity in modality between LLMs and... | http://arxiv.org/abs/2309.09812v2 |
We study the space of automorphic functions for the rational function field
$\mathbb{F}_q(t)$ tamely ramified at three places. Eisenstein series are
functions induced from the maximal torus. The space of Eisenstein series
generates a trimodule for the affine Hecke algebra. We conjecture a generators
and relations descr... | http://arxiv.org/abs/2309.11085v2 |
Although internal gravity waves are generally recognized as an important
mechanism to distribute energy through the atmosphere, their dynamics near the
instability is only partially understood to date. Many types of instabilities,
notably the classical modulational instability, a novel point spectrum
modulational insta... | http://arxiv.org/abs/2309.17392v1 |
Pushing the boundaries of machine learning often requires exploring different
hardware and software combinations. However, the freedom to experiment across
different tooling stacks can be at odds with the drive for efficiency, which
has produced increasingly specialized AI hardware and incentivized
consolidation around... | http://arxiv.org/abs/2309.07181v1 |
Motility-induced phase separation (MIPS) is a nonequilibrium phase separation
that has a different origin from equilibrium phase separation induced by
attractive interactions. Similarities and differences in collective behaviors
between these two types of phase separation have been intensely discussed.
Here, to study a... | http://arxiv.org/abs/2306.17517v2 |
In these proceedings we present the calculation of NLO QCD corrections to
$pp\to t\bar{t}jj$ in the dilepton decay channel. The narrow width
approximation is used to model the decays of the top quark pair preserving spin
correlations. Jet radiation and QCD corrections are consistently included in
the production and dec... | http://arxiv.org/abs/2309.14843v1 |
Dimensionality reduction (DR) is one of the key tools for the visual
exploration of high-dimensional data and uncovering its cluster structure in
two- or three-dimensional spaces. The vast majority of DR methods in the
literature do not take into account any prior knowledge a practitioner may have
regarding the dataset... | http://arxiv.org/abs/2309.14857v3 |
The geometries with SL$(2,\mathbb{R})$ and some axial U$(1)$ isometries are
called ``near-horizon extremal geometries" and are found usually, but not
necessarily, in the near-horizon limit of the extremal black holes. We present
a new member of this family of solutions in five-dimensional Einstein-Hilbert
gravity that ... | http://arxiv.org/abs/2307.16534v2 |
We investigate the degree of dust obscured star formation in 49 massive
(${\rm log}_{10}(M_{\star}/{\rm M}_{\odot})>9$) Lyman-break galaxies (LBGs) at
$z = 6.5$-$8$ observed as part of the ALMA Reionization Era Bright Emission
Line Survey (REBELS) large program. By creating deep stacks of the photometric
data and the R... | http://arxiv.org/abs/2309.17386v2 |
Bi-layer Kagome compounds provide an exciting playground where the interplay
of topology and strong correlations can give rise to exotic phases of matter.
Motivated by recent first principles calculation on such systems (Phys. Rev.
Lett 125, 026401), reporting stabilization of a Chern metal with topological
nearly-flat... | http://arxiv.org/abs/2306.17503v1 |
Directly sending audio signals from a transmitter to a receiver across a
noisy channel may absorb consistent bandwidth and be prone to errors when
trying to recover the transmitted bits. On the contrary, the recent semantic
communication approach proposes to send the semantics and then regenerate
semantically consisten... | http://arxiv.org/abs/2309.07195v1 |
Given the distributed nature, detecting and defending against the backdoor
attack under federated learning (FL) systems is challenging. In this paper, we
observe that the cosine similarity of the last layer's weight between the
global model and each local update could be used effectively as an indicator of
malicious mo... | http://arxiv.org/abs/2304.00160v2 |
Clustering of publication networks is an efficient way to obtain
classifications of large collections of research publications. Such
classifications can be used to, e.g., detect research topics, normalize
citation relations, or explore the publication output of a unit. Citation
networks can be created using a variety o... | http://arxiv.org/abs/2309.14102v3 |
Observing matter effects in atmospheric neutrinos travelling through the
entire mantle and core of the Earth is a promising way of enhancing our
understanding of Earth's density structure. In that context we study the
prospects of Earth tomography with the ICAL detector at the India-based
Neutrino Observatory. While th... | http://arxiv.org/abs/2309.12573v1 |
Dark patterns are ubiquitous in digital systems, impacting users throughout
their journeys on many popular apps and websites. While substantial efforts
from the research community in the last five years have led to consolidated
taxonomies of dark patterns, including an emerging ontology, most applications
of these desc... | http://arxiv.org/abs/2309.09635v1 |
Zebra finch are a model animal used in the study of audition. They are adept
at recognizing zebra finch songs and the neural pathway involved in song
recognition is well studied. Here, this example is used to illustrate the
estimation of mutual information between stimulus and response using a
Kozachenko-Leonenko estim... | http://arxiv.org/abs/2309.07618v1 |
We found general solutions of matter stress-energy (non-)conservation in
scalar-tensor FLRW-type cosmological models by extending the logotropic
formalism to the case of non-minimal coupling between the scalar field and new
dark fluid candidates. The energy conditions expressed by the generating
function are introduced... | http://arxiv.org/abs/2309.10364v3 |
This paper considers a LQR optimal control design problem for distributed
control systems with multi-agents. To control large-scale distributed systems
such as smart-grid and multi-agent robotic systems over wireless communication
networks, it is desired to design a feedback controller by considering various
constraint... | http://arxiv.org/abs/2301.13729v1 |
Purpose - To characterise and assess the quality of published research
evaluating artificial intelligence (AI) methods for ovarian cancer diagnosis or
prognosis using histopathology data. Methods - A search of PubMed, Scopus, Web
of Science, CENTRAL, and WHO-ICTRP was conducted up to 19/05/2023. The
inclusion criteria ... | http://arxiv.org/abs/2303.18005v2 |
Generalized Additive Models (GAMs) are widely used explainable-by-design
models in various applications. GAMs assume that the output can be represented
as a sum of univariate functions, referred to as components. However, this
assumption fails in ML problems where the output depends on multiple features
simultaneously.... | http://arxiv.org/abs/2309.12215v1 |
Given the open nature of the Internet, there is a need for authentication
schemes to address inherent trust issues. We present Tortoise, an experimental
nonce-based authenticated encryption scheme modeled on the Synthetic
Counter-in-Tweak. This paper demonstrates a generalizable plug-and-play
framework for converting b... | http://arxiv.org/abs/2309.05769v2 |
Exact solutions are found for Euler's equations of rigid body motion for
general asymmetrical bodies under the influence of torque by using Jacobi
elliptic functions. Differential equations are determined for the amplitudes
and the parameters of the elliptic functions. The solution is then applied to
the detumbling of ... | http://arxiv.org/abs/2301.10220v1 |
We present a novel approach to performing fitness approximation in genetic
algorithms (GAs) using machine-learning (ML) models, through dynamic adaptation
to the evolutionary state. Maintaining a dataset of sampled individuals along
with their actual fitness scores, we continually update a fitness-approximation
ML mode... | http://arxiv.org/abs/2309.03318v2 |
Generative Adversarial Networks (GAN) offer a promising approach for Neural
Machine Translation (NMT). However, feeding multiple morphologically languages
into a single model during training reduces the NMT's performance. In GAN,
similar to bilingual models, multilingual NMT only considers one reference
translation for... | http://arxiv.org/abs/2303.18011v1 |
Electroencephalogram (EEG) data compression is necessary for wireless
recording applications to reduce the amount of data that needs to be
transmitted. In this paper, an asymmetrical sparse autoencoder with a discrete
cosine transform (DCT) layer is proposed to compress EEG signals. The encoder
module of the autoencode... | http://arxiv.org/abs/2309.12201v1 |
With the growing demand for vision applications and deployment across edge
devices, the development of hardware-friendly architectures that maintain
performance during device deployment becomes crucial. Neural architecture
search (NAS) techniques explore various approaches to discover efficient
architectures for divers... | http://arxiv.org/abs/2309.14670v1 |
Whole slide image (WSI) processing is becoming part of the key components of
standard clinical diagnosis for various diseases. However, the direct
application of conventional image processing algorithms to WSI faces certain
obstacles because of WSIs' distinct property: the super-high resolution. The
performance of most... | http://arxiv.org/abs/2309.08259v1 |
AI-based text-to-image generation has undergone a significant leap in the
production of visually comprehensive and aesthetic imagery over the past year,
to the point where differentiating between a man-made piece of art and an
AI-generated image is becoming more difficult. Generative Models such as Stable
Diffusion, Mi... | http://arxiv.org/abs/2306.00080v2 |
We propose Gibbs-Duhem-informed neural networks for the prediction of binary
activity coefficients at varying compositions. That is, we include the
Gibbs-Duhem equation explicitly in the loss function for training neural
networks, which is straightforward in standard machine learning (ML) frameworks
enabling automatic ... | http://arxiv.org/abs/2306.07937v2 |
We present a novel, fast (exponential rate adaption), ab initio
(hyper-parameter-free) gradient based optimizer algorithm. The main idea of the
method is to adapt the learning rate $\alpha$ by situational awareness, mainly
striving for orthogonal neighboring gradients. The method has a high success
and fast convergence... | http://arxiv.org/abs/2309.06274v1 |
We study the topology of the boundaries of the Milnor fibers of real
analytics map-germs $f: (\mathbb{R}^M,0) \to (\mathbb{R}^K,0)$ and
$f_{I}:=\Pi_{I}\circ f : (\mathbb{R}^M,0) \to (\mathbb{R}^I,0)$ that admit
Milnor's tube fibrations, where $\Pi_{I}:(\mathbb{R}^K,0)\to
(\mathbb{R}^{I},0)$ is the canonical projection ... | http://arxiv.org/abs/2308.16428v1 |
Extremely large-scale multiple-input multiple-output (XL-MIMO) is a promising
technique to enable versatile applications for future wireless
communications.To realize the huge potential performance gain, accurate channel
state information is a fundamental technical prerequisite. In conventional
massive MIMO, the channe... | http://arxiv.org/abs/2308.16400v2 |
The heterogeneous computing paradigm has led to the need for portable and
efficient programming solutions that can leverage the capabilities of various
hardware devices, such as NVIDIA, Intel, and AMD GPUs. This study evaluates the
portability and performance of the SYCL and CUDA languages for one fundamental
bioinform... | http://arxiv.org/abs/2309.09609v2 |
A Boolean network is a discrete dynamical system operating on vectors of
Boolean variables. The action of a Boolean network can be conveniently
expressed as a system of Boolean update functions, computing the new values for
each component of the Boolean vector as a function of the other components.
Boolean networks are... | http://arxiv.org/abs/2303.00110v1 |
We present exactly solvable modifications of the two-matrix Zinn-Justin-Zuber
model and write it as a tau function. The grand partition function of these
matrix integrals is written as the fermion expectation value. The perturbation
theory series is written out explicitly in terms of series in strict
partitions. The re... | http://arxiv.org/abs/2309.15220v2 |
Frequency-modulated (FM) combs based on active cavities like quantum cascade
lasers have recently emerged as promising light sources in many spectral
regions. Unlike passive modelocking, which uses amplitude modulation to
generate amplitude modulation, FM combs use phase modulation to generate phase
modulation. They ca... | http://arxiv.org/abs/2310.00028v2 |
This paper addresses the problem of resilient state estimation and attack
reconstruction for bounded-error nonlinear discrete-time systems with nonlinear
observations/ constraints, where both sensors and actuators can be compromised
by false data injection attack signals/unknown inputs. By leveraging
mixed-monotone dec... | http://arxiv.org/abs/2309.13889v1 |
We present SEOBNRv5HM, a more accurate and faster inspiral-merger-ringdown
gravitational waveform model for quasi-circular, spinning, nonprecessing binary
black holes within the effective-one-body (EOB) formalism. Compared to its
predecessor, SEOBNRv4HM, the waveform model i) incorporates recent high-order
post- Newton... | http://arxiv.org/abs/2303.18039v1 |
Multivariate Hawkes Processes (MHPs) are a class of point processes that can
account for complex temporal dynamics among event sequences. In this work, we
study the accuracy and computational efficiency of three classes of algorithms
which, while widely used in the context of Bayesian inference, have rarely been
applie... | http://arxiv.org/abs/2309.14658v2 |
We present the results of our analysis of Gaia19dke, an extraordinary
microlensing event in the Cygnus constellation that was first spotted by the
{\gaia} satellite. This event featured a strong microlensing parallax effect,
which resulted in multiple peaks in the light curve. We conducted extensive
photometric, spectr... | http://arxiv.org/abs/2309.03324v1 |
In this study, we critically evaluate the approximation capabilities of
existing infra-red and collinear (IRC) safe feature extraction algorithms,
namely Energy Flow Networks (EFNs) and Energy-weighted Message Passing Networks
(EMPNs). Our analysis reveals that these algorithms fall short in extracting
features from an... | http://arxiv.org/abs/2309.17351v2 |
We study the stability of posterior predictive inferences to the
specification of the likelihood model and perturbations of the data generating
process. In modern big data analyses, useful broad structural judgements may be
elicited from the decision-maker but a level of interpolation is required to
arrive at a likelih... | http://arxiv.org/abs/2301.13701v2 |
Probability estimation models play an important role in various fields, such
as weather forecasting, recommendation systems, and sports analysis. Among
several models estimating probabilities, it is difficult to evaluate which
model gives reliable probabilities since the ground-truth probabilities are not
available. Th... | http://arxiv.org/abs/2309.06248v1 |
We introduce a method to convert Physics-Informed Neural Networks (PINNs),
commonly used in scientific machine learning, to Spiking Neural Networks
(SNNs), which are expected to have higher energy efficiency compared to
traditional Artificial Neural Networks (ANNs). We first extend the calibration
technique of SNNs to ... | http://arxiv.org/abs/2308.16372v1 |
Predicting startup success presents a formidable challenge due to the
inherently volatile landscape of the entrepreneurial ecosystem. The advent of
extensive databases like Crunchbase jointly with available open data enables
the application of machine learning and artificial intelligence for more
accurate predictive an... | http://arxiv.org/abs/2309.15552v1 |
We model an interacting quantum dot of electrons by a Hamiltonian with random
and all-to-all single particle hopping (of r.m.s. strength $t$) and
two-particle interactions (of r.m.s. strength $J$). For $t \ll J$, such a model
has a regime exhibiting the non-quasiparticle physics of the Sachdev-Ye-Kitaev
model at temper... | http://arxiv.org/abs/2309.05741v1 |
A robotic behavior model that can reliably generate behaviors from natural
language inputs in real time would substantially expedite the adoption of
industrial robots due to enhanced system flexibility. To facilitate these
efforts, we construct a framework in which learned behaviors, created by a
natural language abstr... | http://arxiv.org/abs/2309.14894v1 |
Stellar evolution models of B-type stars are still uncertain in terms of
internal mixing properties, notably in the area between the convective core and
the radiative envelope. This impacts age determination of such stars in
addition to the computation of chemical yields produced at the end of their
life. We investigat... | http://arxiv.org/abs/2309.13123v1 |
Non-perturbative formulations of field theories are essential to capture
intriguing physical phenomena, including confinement in QCD, spontaneous
supersymmetry breaking, and dynamical compactification in superstrings. Lattice
regularization provides a robust framework to study these non-perturbative
features through Eu... | http://arxiv.org/abs/2309.03330v1 |
We describe low dimensional homology groups of $\mathrm{Diff}^\delta_+S^1$ in
terms of Haefliger's classifying space $B\overline{\Gamma}_1$ by applying a
theorem of Thurston. Then we consider the question whether some power of the
rational Euler class vanishes for real analytic flat $S^1$-bundles. We show
that if it oc... | http://arxiv.org/abs/2308.16414v1 |
In the digital age, seeking health advice on the Internet has become a common
practice. At the same time, determining the trustworthiness of online medical
content is increasingly challenging. Fact-checking has emerged as an approach
to assess the veracity of factual claims using evidence from credible knowledge
source... | http://arxiv.org/abs/2309.08503v2 |
Cheek and Johnston (Journal of Mathematical Biology, 2023) consider a
continuous-time Bienaym\'e-Galton-Watson tree conditioned on being alive at
time $T$. They study the reproduction events along the ancestral lineage of an
individual randomly sampled from all those alive at time $T$. We give a short
proof of an exten... | http://arxiv.org/abs/2309.05998v2 |
It has been argued that heavy binaries composed of neutron stars (NSs) and
millisecond pulsars (MSPs) can end up in the outskirts of star clusters via an
interaction with a massive black hole (BH) binary expelling them from the core.
We argue here, however, that this mechanism will rarely account for such
observed obje... | http://arxiv.org/abs/2309.13122v1 |
The relative entropy for two different degenerate diffusion processes is
estimated by using the Wasserstein distance of initial distributions and the
difference between coefficients. As applications, the entropy cost inequality
and exponential ergodicity in entropy are derived for distribution dependent
stochastic Hami... | http://arxiv.org/abs/2308.16373v3 |
Line outage identification in distribution grids is essential for sustainable
grid operation. In this work, we propose a practical yet robust detection
approach that utilizes only readily available voltage magnitudes, eliminating
the need for costly phase angles or power flow data. Given the sensor data,
many existing ... | http://arxiv.org/abs/2309.07157v1 |
We consider the sequential sampling of species, where observed samples are
classified into the species they belong to. We are particularly interested in
studying some quantities describing the sampling process when there is a new
species discovery. We assume that the observations and species are organized as
a two-para... | http://arxiv.org/abs/2301.13700v1 |
This letter shows that the following three classes of recursive state
estimation filters: standard filters, such as the extended Kalman filter;
iterated filters, such as the iterated unscented Kalman filter; and dynamically
iterated filters, such as the dynamically iterated posterior linearization
filters; can be unifi... | http://arxiv.org/abs/2309.07631v1 |
The significant rise of security concerns in conventional centralized
learning has promoted federated learning (FL) adoption in building intelligent
applications without privacy breaches. In cybersecurity, the sensitive data
along with the contextual information and high-quality labeling in each
enterprise organization... | http://arxiv.org/abs/2309.11053v1 |
Data-driven state estimation (SE) is becoming increasingly important in
modern power systems, as it allows for more efficient analysis of system
behaviour using real-time measurement data. This paper thoroughly evaluates a
phasor measurement unit-only state estimator based on graph neural networks
(GNNs) applied over f... | http://arxiv.org/abs/2303.00105v2 |
We study the asymptotics of bounded lecture hall tableaux. Limit shapes form
when the bounds of the lecture hall tableaux go to infinity linearly in the
lengths of the partitions describing the large-scale shapes of these tableaux.
We prove Conjecture 6.1 in \cite{SKN21}, stating that the slopes of the
rescaled height ... | http://arxiv.org/abs/2309.15235v1 |
The surface chemistry and inter-connectivity within perovskite nanocrystals
play a critical role in determining the electronic interactions. They manifest
in the Coulomb screening of electron-hole correlations and the carrier
relaxation dynamics, among other many-body processes. Here, we characterize the
coupling betwe... | http://arxiv.org/abs/2309.04338v1 |
Patent analysis has recently been recognized as a powerful technique for
large companies worldwide to lend them insight into the age of competition
among various industries. This technique is considered a shortcut for
developing countries since it can significantly accelerate their technology
development. Therefore, as... | http://arxiv.org/abs/2309.13888v1 |
Deep learning (DL) models are capable of successfully exploiting latent
representations in MR data and have become state-of-the-art for accelerated MRI
reconstruction. However, undersampling the measurements in k-space as well as
the over- or under-parameterized and non-transparent nature of DL make these
models expose... | http://arxiv.org/abs/2303.00111v2 |
Various types of sensors have been considered to develop human action
recognition (HAR) models. Robust HAR performance can be achieved by fusing
multimodal data acquired by different sensors. In this paper, we introduce a
new multimodal fusion architecture, referred to as Unified Contrastive Fusion
Transformer (UCFForm... | http://arxiv.org/abs/2309.05032v1 |
In this work a novel recommender system (RS) for Tourism is presented. The RS
is context aware as is now the rule in the state-of-the-art for recommender
systems and works on top of a tourism ontology which is used to group the
different items being offered. The presented RS mixes different types of
recommenders creati... | http://arxiv.org/abs/2301.00768v1 |
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