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We present a variational Monte Carlo algorithm for estimating the lowest
excited states of a quantum system which is a natural generalization of the
estimation of ground states. The method has no free parameters and requires no
explicit orthogonalization of the different states, instead transforming the
problem of find... | http://arxiv.org/abs/2308.16848v3 |
La doped SrFeO$_{3}$, La$_{1/3}$Sr$_{2/3}$FeO$_{3}$, exhibits a
metal-to-insulator transition accompanied by both antiferromagnetic and charge
ordering states along with the Fe-O bond disproportionation below a critical
temperature near 200K. Unconventionally slow charge dynamics measured in this
material near the crit... | http://arxiv.org/abs/2309.03995v1 |
Using the two-component model, we analyze Bose-Einstein correlations in pp
collisions at the center-of-mass energy of 13 TeV, measured by the CMS
Collaboration at the LHC, and compare results with the $\tau$-model. We utilize
data described by the double ratios with an average pair transverse momentum
$0\le k_T\le 1.0$... | http://arxiv.org/abs/2303.17763v2 |
We propose a method for learning topology-preserving data representations
(dimensionality reduction). The method aims to provide topological similarity
between the data manifold and its latent representation via enforcing the
similarity in topological features (clusters, loops, 2D voids, etc.) and their
localization. T... | http://arxiv.org/abs/2302.00136v2 |
We study the motion of a domain wall on an ultrathin magnetic film using the
magneto-optical Kerr effect (MOKE). At tiny magnetic fields, the wall creeps
only via thermal activation over the pinning centers present in the sample. Our
results show that this creep dynamics is highly intermittent and correlated. A
localiz... | http://arxiv.org/abs/2309.12898v1 |
Information extraction systems often produce hundreds to thousands of strings
on a specific topic. We present a method that facilitates better consumption of
these strings, in an exploratory setting in which a user wants to both get a
broad overview of what's available, and a chance to dive deeper on some
aspects. The ... | http://arxiv.org/abs/2309.10057v1 |
Graphic layout generation, a growing research field, plays a significant role
in user engagement and information perception. Existing methods primarily treat
layout generation as a numerical optimization task, focusing on quantitative
aspects while overlooking the semantic information of layout, such as the
relationshi... | http://arxiv.org/abs/2309.09506v2 |
In the search for stable lead (Pb) free perovskites, Vacancy ordered double
perovskite (VODP), A$_2$BX$_6$ has emerged as a promising class of materials
for solar harvesting owing to their nontoxicity, better stability, and unique
optoelectronic properties. Here, we present the stability and the key physical
attributes... | http://arxiv.org/abs/2309.06153v1 |
The parent compound of cuprates is a charge-transfer-type Mott insulator with
strong hybridization between the Cu $3d_{\mathrm x^2-y^2}$ and O $2p$ orbitals.
A key question concerning the pairing mechanism is the behavior of doped holes
in the antiferromagnetic (AF) Mott insulator background, which is a
prototypical qu... | http://arxiv.org/abs/2309.09260v1 |
For widespread adoption, public security and surveillance systems must be
accurate, portable, compact, and real-time, without impeding the privacy of the
individuals being observed. Current systems broadly fall into two categories --
image-based which are accurate, but lack privacy, and RF signal-based, which
preserve ... | http://arxiv.org/abs/2302.14625v1 |
Future wireless systems are likely to adopt extremely large aperture arrays
to achieve higher throughput, wider coverage, and higher spatial resolution.
Conventional wireless systems predominantly operate in the far field (FF) of
the radiation source. However, as the array size increases and the carrier
wavelength decr... | http://arxiv.org/abs/2309.13238v2 |
Purpose: Recent disruptive events, such as COVID-19 and Russia-Ukraine
conflict, had a significant impact of global supply chains. Digital supply
chain twins have been proposed in order to provide decision makers with an
effective and efficient tool to mitigate disruption impact. Methods: This paper
introduces a hybrid... | http://arxiv.org/abs/2309.14557v1 |
We explore the ability of large language models (LLMs) to act as speech
recognition post-processors that perform rescoring and error correction. Our
first focus is on instruction prompting to let LLMs perform these task without
fine-tuning, for which we evaluate different prompting schemes, both zero- and
few-shot in-c... | http://arxiv.org/abs/2309.15649v2 |
Virtual Reality (VR) has the potential of becoming the next ubiquitous
computing platform. Continued progress in the burgeoning field of VR depends
critically on an efficient computing substrate. In particular, DRAM access
energy is known to contribute to a significant portion of system energy.
Today's framebuffer comp... | http://arxiv.org/abs/2310.00441v1 |
BRC-20 (short for Bitcoin Request for Comment 20) token mania was a key
storyline in the middle of 2023. Setting it apart from conventional ERC-20
token standards on Ethereum, BRC-20 introduces non-fungibility to Bitcoin
through an editable field in each satoshi (0.00000001 Bitcoin, the smallest
unit), making them uniq... | http://arxiv.org/abs/2310.10652v1 |
Human motion capture either requires multi-camera systems or is unreliable
when using single-view input due to depth ambiguities. Meanwhile, mirrors are
readily available in urban environments and form an affordable alternative by
recording two views with only a single camera. However, the mirror setting
poses the addi... | http://arxiv.org/abs/2309.04750v2 |
In this paper we give an explicit solution of Dzherbashyan-Caputo-fractional
Cauchy problems related to equations with derivatives of order $\nu k$, for $k$
non-negative integer and $\nu>0$. The solution is obtained by connecting the
differential equation with the roots of the characteristic polynomial and it is
expres... | http://arxiv.org/abs/2309.04988v1 |
3D perceptual representations are well suited for robot manipulation as they
easily encode occlusions and simplify spatial reasoning. Many manipulation
tasks require high spatial precision in end-effector pose prediction, which
typically demands high-resolution 3D feature grids that are computationally
expensive to pro... | http://arxiv.org/abs/2306.17817v2 |
Earthquakes are produced by the propagation of rapid slip along tectonic
faults. The propagation dynamics is governed by a balance between elastic
stored energy in the surrounding rock, and dissipated energy at the propagating
tip of the slipping patch. Energy dissipation is dictated by the mechanical
behaviour of the ... | http://arxiv.org/abs/2307.16820v1 |
In this paper, we present a novel method to automatically classify medical
images that learns and leverages weak causal signals in the image. Our
framework consists of a convolutional neural network backbone and a
causality-extractor module that extracts cause-effect relationships between
feature maps that can inform t... | http://arxiv.org/abs/2309.10725v1 |
Simulation-based inference techniques are indispensable for parameter
estimation of mechanistic and simulable models with intractable likelihoods.
While traditional statistical approaches like approximate Bayesian computation
and Bayesian synthetic likelihood have been studied under well-specified and
misspecified sett... | http://arxiv.org/abs/2301.13368v2 |
In this work, we focus on a robotic unloading problem from visual
observations, where robots are required to autonomously unload stacks of
parcels using RGB-D images as their primary input source. While supervised and
imitation learning have accomplished good results in these types of tasks, they
heavily rely on labele... | http://arxiv.org/abs/2309.06621v1 |
Topological properties in quantum materials are often governed by symmetry
and tuned by crystal structure and external fields, and hence
symmetry-sensitive nonlinear optical measurements in a magnetic field are a
valuable probe. Here we report nonlinear magneto-optical second harmonic
generation (SHG) studies of non-ma... | http://arxiv.org/abs/2309.09512v1 |
The main aim of this paper is to develop extreme value theory for
$\theta$-expansions. We get the limit distribution of the largest value of
$\theta$-continued fraction mixing stationary stochastic process and some
related results. These are analogous to J.Galambos and W.Philipp theorems for
the regular continued fract... | http://arxiv.org/abs/2309.12654v1 |
In the evaluation of the half-life of the neutrinoless double-$\beta$ decay
($0\nu\beta\beta$) of a doubly closed-subshell nucleus $^{96}$Zr, the structure
of the nucleus $^{96}$Mo is essentially important. The $\alpha$-clustering
aspects of $^{96}$Mo are investigated for the first time. By studying the
nuclear rainbow... | http://arxiv.org/abs/2303.17777v1 |
Early detection of cardiac dysfunction through routine screening is vital for
diagnosing cardiovascular diseases. An important metric of cardiac function is
the left ventricular ejection fraction (EF), where lower EF is associated with
cardiomyopathy. Echocardiography is a popular diagnostic tool in cardiology,
with ul... | http://arxiv.org/abs/2309.03759v1 |
Image camouflage has been utilized to create clean-label poisoned images for
implanting backdoor into a DL model. But there exists a crucial limitation that
one attack/poisoned image can only fit a single input size of the DL model,
which greatly increases its attack budget when attacking multiple commonly
adopted inpu... | http://arxiv.org/abs/2309.04036v2 |
The lattice Boltzmann method, after close to thirty years of presence in
computational fluid dynamics has turned into a versatile, efficient and quite
popular numerical tool for fluid flow simulations. The lattice Boltzmann method
owes its popularity in the past decade to its efficiency, low numerical
dissipation and s... | http://arxiv.org/abs/2309.07517v2 |
We show that the dynamics of a quantum system can be represented by the
dynamics of an underlying classical systems obeying the Hamilton equations of
motion. This is achieved by transforming the phase space of dimension $2n$ into
a Hilbert space of dimension $n$ which is obtained by a peculiar canonical
transformation ... | http://arxiv.org/abs/2308.00151v1 |
The Cherenkov Telescope Array (CTA) will be the next-generation observatory
in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle
physics. The traditional approach to data analysis in this field is to apply
quality cuts, optimized using Monte Carlo simulations, on the data acquired to
maximize se... | http://arxiv.org/abs/2309.11375v1 |
Many magnetic materials are predicted to exhibit bosonic topological edge
modes in their excitation spectra, because of the nontrivial topology of their
magnon, triplon or other quasi-particle band structures. However, there is a
discrepancy between theory prediction and experimental observation, which
suggests some un... | http://arxiv.org/abs/2309.15113v1 |
This paper presents a state-of-the-art solution to the LongEval CLEF 2023 Lab
Task 2: LongEval-Classification. The goal of this task is to improve and
preserve the performance of sentiment analysis models across shorter and longer
time periods. Our framework feeds date-prefixed textual inputs to a pre-trained
language ... | http://arxiv.org/abs/2309.13562v1 |
The intricacies of black hole ringdown analysis are amplified by the absence
of a complete set of orthogonal basis functions for quasinormal modes. Although
damped sinusoids effectively fit the ringdown signals from binary black hole
mergers, the risk of overfitting remains, due to initial transients and
nonlinear effe... | http://arxiv.org/abs/2309.13204v3 |
Software frameworks for behaviour are critical in robotics as they enable the
correct and efficient execution of functions. While modern behaviour systems
have improved their composability, they do not focus on smooth transitions and
often lack functionality. In this work, we present the Director, a novel
behaviour fra... | http://arxiv.org/abs/2309.09248v2 |
Radiofrequency capacitively coupled plasma is studied theoretically using a
Particle-in-Cell code. For He discharge, the time-averaged sheaths are in the
range of few centimeters. The sheath potential, ion, and electron energy and
angular distributions, discharge current, and dissipated power depend on the
driven poten... | http://arxiv.org/abs/2309.16368v1 |
Optical nanofiber cavity research has mainly focused on the fundamental mode.
Here, a Fabry-P\'erot fiber cavity with an optical nanofiber supporting the
higher-order modes, TE01, TM01, HE21o, and HE21e, is demonstrated. Using cavity
spectroscopy, with mode imaging and analysis, we observe cavity resonances that
exhibi... | http://arxiv.org/abs/2301.13432v1 |
In recent years, excitation of surface phonon polaritons (SPhPs) in van der
Waals materials received wide attention from the nanophotonics community.
Alpha-phase Molybdenum trioxide ($\alpha$-MoO3), a naturally occurring biaxial
hyperbolic crystal, emerged as a promising polaritonic material due to its
ability to suppo... | http://arxiv.org/abs/2309.13210v1 |
Visualization of dynamic processes in scientific high-performance computing
is an immensely data intensive endeavor. Application codes have recently
demonstrated scaling to full-size Exascale machines, and generating
high-quality data for visualization is consequently on the machine-scale,
easily spanning 100s of TByte... | http://arxiv.org/abs/2310.00469v1 |
Self-supervised learning (SSL) is at the origin of unprecedented improvements
in many different domains including computer vision and natural language
processing. Speech processing drastically benefitted from SSL as most of the
current domain-related tasks are now being approached with pre-trained models.
This work int... | http://arxiv.org/abs/2309.05472v2 |
In this paper we consider stationary states of the SSH model for infinite
polyacetylene chains that are homoclinic or heteroclinic connections between
two-periodic dimerized states. We prove that such connections converge
exponentially fast to the corresponding asymptotic periodic states. | http://arxiv.org/abs/2308.00145v1 |
This paper proposes a multi-spectral random forest classifier with suitable
feature selection and masking for tree cover estimation in urban areas. The key
feature of the proposed classifier is filtering out the built-up region using
spectral indices followed by random forest classification on the remaining mask
with c... | http://arxiv.org/abs/2306.06073v1 |
With most modern visualization tools, authors need to transform their data
into tidy formats to create visualizations they want. Because this requires
experience with programming or separate data processing tools, data
transformation remains a barrier in visualization authoring. To address this
challenge, we present a ... | http://arxiv.org/abs/2309.10094v2 |
Mixed Reality (MR) allows users to interact with digital objects in a
physical environment, but several limitations have hampered widespread
adoption. Physiologically adaptive systems detecting user's states can drive
interaction and address these limitations. Here, we highlight potential
usability and interaction limi... | http://arxiv.org/abs/2303.17978v1 |
By ultrafast x-ray diffraction we show that the laser-induced
magnetostructural phase transition in FeRh nanoislands proceeds faster and more
complete than in continuous films. We observe an intrinsic 8 ps timescale for
nucleation of ferromagnetic (FM) domains in both types of samples. For the
continuous film, the subs... | http://arxiv.org/abs/2309.12683v2 |
Co-salient Object Detection (CoSOD) endeavors to replicate the human visual
system's capacity to recognize common and salient objects within a collection
of images. Despite recent advancements in deep learning models, these models
still rely on training with well-annotated CoSOD datasets. The exploration of
training-fr... | http://arxiv.org/abs/2309.05499v3 |
We obtain an analytical solution for the time-optimal control problem in the
induction phase of anesthesia. Our solution is shown to align numerically with
the results obtained from the conventional shooting method. The induction phase
of anesthesia relies on a pharmacokinetic/pharmacodynamic (PK/PD) model
proposed by ... | http://arxiv.org/abs/2309.04787v1 |
Reinforcement learning (RL) for bipedal locomotion has recently demonstrated
robust gaits over moderate terrains using only proprioceptive sensing. However,
such blind controllers will fail in environments where robots must anticipate
and adapt to local terrain, which requires visual perception. In this paper, we
propo... | http://arxiv.org/abs/2309.14594v2 |
In recent years new deep learning approaches to solve combinatorial
optimization problems, in particular NP-hard Vehicle Routing Problems (VRP),
have been proposed. The most impactful of these methods are sequential neural
construction approaches which are usually trained via reinforcement learning.
Due to the high tra... | http://arxiv.org/abs/2309.17089v1 |
Xenes, two-dimensional (2D) monolayers composed of a single element, with
graphene as a typical representative, have attracted widespread attention. Most
of the previous Xenes, X from group-IIIA to group-VIA elements have bonding
characteristics of covalent bonds. In this work, we for the first time unveil
the pivotal ... | http://arxiv.org/abs/2309.06184v2 |
Offline Reinforcement Learning (RL) enables policy learning without active
interactions, making it especially appealing for self-driving tasks. Recent
successes of Transformers inspire casting offline RL as sequence modeling,
which, however, fails in stochastic environments with incorrect assumptions
that identical act... | http://arxiv.org/abs/2309.16397v3 |
We introduce the Sparsity Roofline, a visual performance model for evaluating
sparsity in neural networks. The Sparsity Roofline jointly models network
accuracy, sparsity, and theoretical inference speedup. Our approach does not
require implementing and benchmarking optimized kernels, and the theoretical
speedup become... | http://arxiv.org/abs/2310.00496v2 |
In this paper we present the first investigation into the effectiveness of
Large Language Models (LLMs) for Failure Mode Classification (FMC). FMC, the
task of automatically labelling an observation with a corresponding failure
mode code, is a critical task in the maintenance domain as it reduces the need
for reliabili... | http://arxiv.org/abs/2309.08181v1 |
The Weyl-Wigner representation of quantum mechanics allows one to map the
density operator in a function in phase space - the Wigner function - which
acts like a probability distribution. In the context of statistical mechanics,
this mapping makes the transition from the classical to the quantum regimes
very clear, bec... | http://arxiv.org/abs/2307.16613v2 |
The $2$-packing number $\rho_2(G)$ of a graph $G$ is the cardinality of a
largest $2$-packing of $G$ and the open packing number $\rho^{\rm o}(G)$ is the
cardinality of a largest open packing of $G$, where an open packing (resp.
$2$-packing) is a set of vertices in $G$ no two (closed) neighborhoods of which
intersect. ... | http://arxiv.org/abs/2309.04963v1 |
Although syntactic information is beneficial for many NLP tasks, combining it
with contextual information between words to solve the coreference resolution
problem needs to be further explored. In this paper, we propose an end-to-end
parser that combines pre-trained BERT with a Syntactic Relation Graph Attention
Networ... | http://arxiv.org/abs/2309.04977v1 |
The sharing-economy-based business model has recently seen success in the
transportation and accommodation sectors with companies like Uber and Airbnb.
There is growing interest in applying this model to energy systems, with
modalities like peer-to-peer (P2P) Energy Trading, Electric Vehicles (EV)-based
Vehicle-to-Grid... | http://arxiv.org/abs/2304.04753v1 |
We formulate monocular depth estimation using denoising diffusion models,
inspired by their recent successes in high fidelity image generation. To that
end, we introduce innovations to address problems arising due to noisy,
incomplete depth maps in training data, including step-unrolled denoising
diffusion, an $L_1$ lo... | http://arxiv.org/abs/2302.14816v1 |
Deploying service robots in our daily life, whether in restaurants,
warehouses or hospitals, calls for the need to reason on the interactions
happening in dense and dynamic scenes. In this paper, we present and benchmark
three new approaches to model and predict multi-agent interactions in dense
scenes, including the u... | http://arxiv.org/abs/2307.00065v1 |
OpenID Connect (OIDC) is a widely used authentication standard for the Web.
In this work, we define a new Identity Certification Token (ICT) for OIDC. An
ICT can be thought of as a JSON-based, short-lived user certificate for
end-to-end user authentication without the need for cumbersome key management.
A user can requ... | http://arxiv.org/abs/2307.16607v2 |
As consumer adoption of immersive technologies grows, virtual avatars will
play a prominent role in the future of social computing. However, as people
begin to interact more frequently through virtual avatars, it is important to
ensure that the research community has validated tools to evaluate the effects
and conseque... | http://arxiv.org/abs/2309.10902v2 |
We propose a Dynamical System (DS) approach to learn complex, possibly
periodic motion plans from kinesthetic demonstrations using Neural Ordinary
Differential Equations (NODE). To ensure reactivity and robustness to
disturbances, we propose a novel approach that selects a target point at each
time step for the robot t... | http://arxiv.org/abs/2308.00186v3 |
Forecasting motion and spatial positions of objects is of fundamental
importance, especially in safety-critical settings such as autonomous driving.
In this work, we address the issue by forecasting two different modalities that
carry complementary information, namely optical flow and depth. To this end we
propose FLOD... | http://arxiv.org/abs/2310.20593v1 |
Many real-time applications (e.g., Augmented/Virtual Reality, cognitive
assistance) rely on Deep Neural Networks (DNNs) to process inference tasks.
Edge computing is considered a key infrastructure to deploy such applications,
as moving computation close to the data sources enables us to meet stringent
latency and thro... | http://arxiv.org/abs/2301.13618v1 |
The $\mathbb{R}$-motivic cohomology of an $\mathbb{R}$-motivic spectrum is a
module over the $\mathbb{R}$-motivic Steenrod algebra
$\mathcal{A}^{\mathbb{R}}$. In this paper, we describe how to recover the
$\mathbb{R}$-motivic cohomology of the Spanier-Whitehead dual $\mathrm{DX}$ of
an $\mathbb{R}$-motivic finite compl... | http://arxiv.org/abs/2309.16142v2 |
High-order structures have been recognised as suitable models for systems
going beyond the binary relationships for which graph models are appropriate.
Despite their importance and surge in research on these structures, their
random cases have been only recently become subjects of interest. One of these
high-order stru... | http://arxiv.org/abs/2309.06351v1 |
Interfacial instabilities are common phenomena observed during adhesion
measurements involving viscoelastic polymers or fluids. Typical probe-tack
adhesion measurements with soft adhesives are conducted with rigid probes.
However, in many settings, such as for medical applications, adhesives make and
break contact from... | http://arxiv.org/abs/2309.09704v1 |
The disordered ferromagnet is a disordered version of the ferromagnetic Ising
model in which the coupling constants are non-negative quenched random. A
ground configuration is an infinite-volume configuration whose energy cannot be
reduced by finite modifications. It is a long-standing challenge to ascertain
whether th... | http://arxiv.org/abs/2309.06437v2 |
We construct a nontrivial generalization of the paradigmatic Kuramoto model
by using an additional coupling term that explicitly breaks its rotational
symmetry resulting in a variant of the Winfree Model. Consequently, we observe
the characteristic features of the phase diagrams of both the Kuramoto model
and the Winfr... | http://arxiv.org/abs/2302.14341v1 |
Radio Relics are typically found to be arc-like regions of synchrotron
emission in the outskirts of merging galaxy clusters, bowing out from the
cluster center. In most cases they show synchrotron spectra that steepen
towards the cluster center, indicating that they are caused by relativistic
electrons being accelerate... | http://arxiv.org/abs/2309.00046v2 |
In everyday life collaboration tasks between human operators and robots, the
former necessitate simple ways for programming new skills, the latter have to
show adaptive capabilities to cope with environmental changes. The joint use of
visual servoing and imitation learning allows us to pursue the objective of
realizing... | http://arxiv.org/abs/2309.07729v1 |
Results of astrometric very long baseline interferometry (VLBI) observations
towards an extreme OH/IR star candidate NSV17351 are presented. We used the
VERA (VLBI Exploration of Radio Astrometry) VLBI array to observe 22\,GHz
H$_2$O masers of NSV17351. We derived an annual parallax of 0.247$\pm$0.035 mas
which corresp... | http://arxiv.org/abs/2309.04234v1 |
Figurative language is commonplace in natural language, and while making
communication memorable and creative, can be difficult to understand. In this
work, we investigate the robustness of Question Answering (QA) models on
figurative text. Yes/no questions, in particular, are a useful probe of
figurative language unde... | http://arxiv.org/abs/2309.13748v1 |
We introduce a dynamic event-triggering mechanism for regulating the axonal
growth of a neuron. We apply boundary actuation at the soma (the part of a
neuron that contains the nucleus) and regulate the dynamics of tubulin
concentration and axon length. The control law is formulated by applying a
Zero-Order Hold (ZOH) t... | http://arxiv.org/abs/2310.00131v2 |
The classification of phases and the detection of phase transitions are
central and challenging tasks in diverse fields. Within physics, it relies on
the identification of order parameters and the analysis of singularities in the
free energy and its derivatives. Here, we propose an alternative framework to
identify qua... | http://arxiv.org/abs/2309.15339v1 |
The problem of optimal recovering high-order mixed derivatives of bivariate
functions with finite smoothness is studied. On the basis of the truncation
method, an algorithm for numerical differentiation is constructed, which is
order-optimal both in the sense of accuracy and in terms of the amount of
involved Galerkin ... | http://arxiv.org/abs/2309.09710v1 |
Here, we develop a framework for the prediction and screening of native
defects and functional impurities in a chemical space of Group IV, III-V, and
II-VI zinc blende (ZB) semiconductors, powered by crystal Graph-based Neural
Networks (GNNs) trained on high-throughput density functional theory (DFT)
data. Using an inn... | http://arxiv.org/abs/2309.06423v2 |
Multi-objective learning (MOL) problems often arise in emerging machine
learning problems when there are multiple learning criteria, data modalities,
or learning tasks. Different from single-objective learning, one of the
critical challenges in MOL is the potential conflict among different objectives
during the iterati... | http://arxiv.org/abs/2305.20057v3 |
The logical analysis of data, LAD, is a technique that yields two-class
classifiers based on Boolean functions having disjunctive normal form (DNF)
representation. Although LAD algorithms employ optimization techniques, the
resulting binary classifiers or binary rules do not lead to overfitting. We
propose a theoretica... | http://arxiv.org/abs/2309.16630v1 |
Steinerberger proposed a notion of curvature on graphs (J. Graph Theory,
2023). We show that nonnegative curvature is almost preserved under three graph
operations. We characterize the distance matrix and its null space after adding
an edge between two graphs. Let $D$ be the graph distance matrix and
$\mathbf{1}$ be th... | http://arxiv.org/abs/2309.16156v2 |
In this research, we aim to compare the performance of different classical
machine learning models and neural networks in identifying the frequency of
occurrence of each digit in a given number. It has various applications in
machine learning and computer vision, e.g. for obtaining the frequency of a
target object in a... | http://arxiv.org/abs/2310.04431v1 |
Ultrafast electron-phonon relaxation dynamics in graphene hides many distinct
phenomena, such as hot phonon generation, dynamical Kohn anomalies, and phonon
decoupling, yet still remains largely unexplored. Here, we unravel intricate
mechanisms governing the vibrational relaxation and phonon dressing in graphene
at a h... | http://arxiv.org/abs/2309.09076v1 |
We study states arising from fluctuations in the disorder potential in
systems with long-range hopping. Here, contrary to systems with short-range
hopping, the optimal fluctuations of disorder responsible for the formation of
the states in the gap, are not rendered shallow and long-range when $E$
approaches the band ed... | http://arxiv.org/abs/2309.06345v3 |
Power systems Unit Commitment (UC) problem determines the generator
commitment schedule and dispatch decisions for power networks based on
forecasted electricity demand. However, with the increasing penetration of
renewables and stochastic demand behaviors, it becomes challenging to solve the
large-scale, multi-interva... | http://arxiv.org/abs/2309.05894v1 |
In the field of speaker verification, session or channel variability poses a
significant challenge. While many contemporary methods aim to disentangle
session information from speaker embeddings, we introduce a novel approach
using an additional embedding to represent the session information. This is
achieved by traini... | http://arxiv.org/abs/2309.14741v1 |
We propose an unsupervised deep learning algorithm for the motion-compensated
reconstruction of 5D cardiac MRI data from 3D radial acquisitions. Ungated
free-breathing 5D MRI simplifies the scan planning, improves patient comfort,
and offers several clinical benefits over breath-held 2D exams, including
isotropic spati... | http://arxiv.org/abs/2309.04552v1 |
The influence of the gravitational fields of pulsars and magnetars on the
arion emission during the propagation of magnetodipole waves in a constant
magnetic field has been evaluated.
The solution of the equation was obtained and the flux of arions emitted by
magnetodipole waves during their propagation in a constant... | http://arxiv.org/abs/2309.07073v1 |
In recent years, cloud and edge architectures have gained tremendous focus
for offloading computationally heavy applications. From machine learning and
Internet of Thing (IOT) to industrial procedures and robotics, cloud computing
have been used extensively for data processing and storage purposes, thanks to
its "infin... | http://arxiv.org/abs/2301.13624v1 |
Formalized $1$-category theory forms a core component of various libraries of
mathematical proofs. However, more sophisticated results in fields from
algebraic topology to theoretical physics, where objects have "higher
structure," rely on infinite-dimensional categories in place of $1$-dimensional
categories, and $\in... | http://arxiv.org/abs/2309.08340v3 |
Recent results suggest that splitting topological navigation into
robot-independent and robot-specific components improves navigation performance
by enabling the robot-independent part to be trained with data collected by
robots of different types. However, the navigation methods' performance is
still limited by the sc... | http://arxiv.org/abs/2309.17260v4 |
With the proliferation of hate speech on social networks under different
formats, such as abusive language, cyberbullying, and violence, etc., people
have experienced a significant increase in violence, putting them in
uncomfortable situations and threats. Plenty of efforts have been dedicated in
the last few years to ... | http://arxiv.org/abs/2309.11611v1 |
The study of improper phases in the context of multiferroic materials has a
long history, but superconductivity has yet to be connected to the network of
ferroic orders. In this work, we highlight an overlooked mechanism that couples
superconducting order parameters to odd-parity orders in the charge or spin
sectors su... | http://arxiv.org/abs/2309.05664v1 |
We present an apparatus that applies Ramsey's method of separated oscillatory
fields to proton spins in water molecules. The setup consists of a water
circuit, a spin polarizer, a magnetically shielded interaction region with
various radio frequency elements, and a nuclear magnetic resonance system to
measure the spin ... | http://arxiv.org/abs/2303.18108v2 |
By studying the distribution of calcium-aluminium-rich inclusions (CAIs) that
are embedded within meteorites, we can learn about the dynamical history of the
protoplanetary disk from which our Solar System formed. A long-standing problem
concerning CAIs is the CAI storage problem. CAIs are thought to have formed at
hig... | http://arxiv.org/abs/2309.13760v1 |
In this work we pretrain a CLIP/ViT based model using three different
modalities of satellite imagery across five AOIs covering over ~10\% of Earth's
total landmass, namely Sentinel 2 RGB optical imagery, Sentinel 1 SAR radar
amplitude and interferometric coherence. This model uses $\sim 250$ M
parameters. Then, we use... | http://arxiv.org/abs/2310.00119v2 |
We discuss our recent study of local quantum mechanical uncertainty relations
in quantum many body systems. These lead to fundamental bounds for quantities
such as the speed, acceleration, relaxation times, spatial gradients and the
Lyapunov exponents. We additionally obtain bounds on various transport
coefficients lik... | http://arxiv.org/abs/2303.00021v1 |
This article provides a curated review of selected papers published in
prominent economics journals that use machine learning (ML) tools for research
and policy analysis. The review focuses on three key questions: (1) when ML is
used in economics, (2) what ML models are commonly preferred, and (3) how they
are used for... | http://arxiv.org/abs/2304.00086v2 |
Testing with randomly generated inputs (fuzzing) has gained significant
traction due to its capacity to expose program vulnerabilities automatically.
Fuzz testing campaigns generate large amounts of data, making them ideal for
the application of machine learning (ML). Neural program smoothing (NPS), a
specific family o... | http://arxiv.org/abs/2309.16618v1 |
The density functional plus dynamical mean-field theory is used to study the
spin excitation spectra of SrRu$_2$O$_6$. A good quantitative agreement with
experimental spin excitation spectra is found. Depending on the size of the
Hund's coupling $J_H$ the systems chooses either Mott insulator or covalent
insulator stat... | http://arxiv.org/abs/2305.19826v2 |
In psychiatric diagnosis, a contemporary data-driven, manual-based method for
mental disorders classification is the most popular technique; however, it has
several inevitable flaws. Using the three-way decision as a framework, we
propose a unified model that stands for clinicians' subjective approach (CSA)
analysis co... | http://arxiv.org/abs/2301.03351v4 |
The recent synthesis of MoSi2N4 material, along with theoretical predictions
encompassing the entire family of chemical analogs, has opened up a new array
of low-dimensional materials for a diverse range of optoelectronics and
photovoltaics applications. In this study, we conducted state-of-the-art
many-body first-prin... | http://arxiv.org/abs/2309.11163v1 |
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