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Recent advances in training vision-language models have demonstrated
unprecedented robustness and transfer learning effectiveness; however, standard
computer vision datasets are image-only, and therefore not well adapted to such
training methods. Our paper introduces a simple methodology for adapting any
fine-grained i... | http://arxiv.org/abs/2302.10281v1 |
We propose a hybrid neural network (NN) and PDE approach for learning
generalizable PDE dynamics from motion observations. Many NN approaches learn
an end-to-end model that implicitly models both the governing PDE and
constitutive models (or material models). Without explicit PDE knowledge, these
approaches cannot guar... | http://arxiv.org/abs/2304.14369v2 |
In scenarios with long-tailed distributions, the model's ability to identify
tail classes is limited due to the under-representation of tail samples. Class
rebalancing, information augmentation, and other techniques have been proposed
to facilitate models to learn the potential distribution of tail classes. The
disadva... | http://arxiv.org/abs/2310.10090v1 |
Stimulated Raman Adiabatic Passage (STIRAP) is a widely used method for
adiabatic population transfer in a multilevel system. In this work, we study
STIRAP under novel conditions and focus on the fractional, F-STIRAP, which is
known to create a superposition state with the maximum coherence. In both
configurations, STI... | http://arxiv.org/abs/2305.18652v1 |
Kuznetsov and Polishchuk provided a general algorithm to construct
exceptional collections of maximal length for homogeneous varieties of type
A,B,C,D. We consider the case of the spinor tenfold and we prove that the
corresponding collection is full, i.e. it generates the whole derived category
of coherent sheaves. As ... | http://arxiv.org/abs/2306.10986v1 |
Accuracy and diversity have long been considered to be two conflicting goals
for recommendations. We point out, however, that as the diversity is typically
measured by certain pre-selected item attributes, e.g., category as the most
popularly employed one, improved diversity can be achieved without sacrificing
recommen... | http://arxiv.org/abs/2301.05492v1 |
Tracking characters and locations throughout a story can help improve the
understanding of its plot structure. Prior research has analyzed characters and
locations from text independently without grounding characters to their
locations in narrative time. Here, we address this gap by proposing a new
spatial relationship... | http://arxiv.org/abs/2305.17561v1 |
Collider experiments provide an opportunity to produce particles at close
distances and momenta. The measured correlation functions between particles can
provide information on both the effective emission source and the interaction
potential. In recent years, experiments at the LHC have shown that precision
studies of ... | http://arxiv.org/abs/2305.08441v2 |
Swift J1749.4-2807 is the only known eclipsing accreting millisecond X-ray
pulsar. In this paper, we report on 7 thermonuclear (Type-I) X-ray bursts
observed by NICER during its 2021 outburst. The first 6 bursts show slow rises
and long decays, indicative of mixed H/He fuel, whereas the last burst shows
fast rise and d... | http://arxiv.org/abs/2306.11440v1 |
We extend previous efforts to quantify the entanglement generated in
Hawking's evaporation process by including rotation and thermal environments
(e.g. the cosmic microwave background). Both extensions are needed to describe
real black holes in our universe. Leveraging techniques from Gaussian quantum
information, we f... | http://arxiv.org/abs/2307.06215v2 |
Large-scale pre-trained models have achieved remarkable success in many
applications, but how to leverage them to improve the prediction reliability of
downstream models is undesirably under-explored. Moreover, modern neural
networks have been found to be poorly calibrated and make overconfident
predictions regardless ... | http://arxiv.org/abs/2304.10127v2 |
As a two-dimensional planar material with low depth profile, a metasurface
can generate non-classical phase distributions for the transmitted and
reflected electromagnetic waves at its interface. Thus, it offers more
flexibility to control the wave front. A traditional metasurface design process
mainly adopts the forwa... | http://arxiv.org/abs/2307.09126v1 |
ML models are increasingly being pushed to mobile devices, for low-latency
inference and offline operation. However, once the models are deployed, it is
hard for ML operators to track their accuracy, which can degrade unpredictably
(e.g., due to data drift). We design the first end-to-end system for
continuously monito... | http://arxiv.org/abs/2305.07772v2 |
Satellites have become more widely available due to the reduction in size and
cost of their components. As a result, there has been an advent of smaller
organizations having the ability to deploy satellites with a variety of
data-intensive applications to run on them. One popular application is image
analysis to detect... | http://arxiv.org/abs/2301.04954v2 |
Google has mandated developers to use Data Safety Sections (DSS) to increase
transparency in data collection and sharing practices. In this paper, we
present a comprehensive analysis of Google's Data Safety Section (DSS) using
both quantitative and qualitative methods. We conduct the first large-scale
measurement study... | http://arxiv.org/abs/2306.08111v1 |
We develop an end-to-end workflow for the training and implementation of
co-designed neural networks (NNs) for efficient field-programmable gate array
(FPGA) and application-specific integrated circuit (ASIC) hardware. Our
approach leverages Hessian-aware quantization (HAWQ) of NNs, the Quantized Open
Neural Network Ex... | http://arxiv.org/abs/2304.06745v1 |
A spin Hamiltonian, which characterizes interatomic interactions between spin
moments, is highly valuable in predicting and comprehending the magnetic
properties of materials. A deeper understanding of the microscopic origin of
magnetic interactions can open new pathways toward realizing nanometer-scale
systems for fut... | http://arxiv.org/abs/2306.07222v2 |
We define and fully characterize the witnesses based on second moments
detecting steering in Gaussian states by means of Gaussian measurements. All
such tests, which arise from linear combination of variances or second moments
of canonical operators, are easily implemented in experiments. We propose also
a set of linea... | http://arxiv.org/abs/2304.11239v1 |
This paper revisits an adaptation of the random forest algorithm for
Fr\'echet regression, addressing the challenge of regression in the context of
random objects in metric spaces. Recognizing the limitations of previous
approaches, we introduce a new splitting rule that circumvents the
computationally expensive operat... | http://arxiv.org/abs/2306.17031v1 |
We present a CNN-BiLSTM system for the problem of offline English handwriting
recognition, with extensive evaluations on the public IAM dataset, including
the effects of model size, data augmentation and the lexicon. Our best model
achieves 3.59\% CER and 9.44\% WER using CNN-BiLSTM network with CTC layer.
Test time au... | http://arxiv.org/abs/2307.00664v1 |
We propose TextManiA, a text-driven manifold augmentation method that
semantically enriches visual feature spaces, regardless of class distribution.
TextManiA augments visual data with intra-class semantic perturbation by
exploiting easy-to-understand visually mimetic words, i.e., attributes. This
work is built on an i... | http://arxiv.org/abs/2307.14611v3 |
Citations in scientific papers not only help us trace the intellectual
lineage but also are a useful indicator of the scientific significance of the
work. Citation intents prove beneficial as they specify the role of the
citation in a given context. In this paper, we present CitePrompt, a framework
which uses the hithe... | http://arxiv.org/abs/2304.12730v2 |
Quantum thermodynamics seeks to extend non-equilibrium stochastic
thermodynamics to small quantum systems where non-classical features are
essential to its description. Such a research area has recently provided
meaningful theoretical and experimental advances by exploring the wealth and
the power of quantum features a... | http://arxiv.org/abs/2303.08917v1 |
We propose a model to flexibly estimate joint tail properties by exploiting
the convergence of an appropriately scaled point cloud onto a compact limit
set. Characteristics of the shape of the limit set correspond to key tail
dependence properties. We directly model the shape of the limit set using
Bezier splines, whic... | http://arxiv.org/abs/2306.13257v3 |
We explore the opportunities of using electron scattering by screened Coulomb
potential as a tool to retrieve properties of the relativistic vortex beams of
electrons, such as their transverse momentum and orbital angular momentum
(OAM). We focus on relativistic and ultra-relativistic regimes of the electron
energies o... | http://arxiv.org/abs/2305.12419v2 |
The coherent transport of charge and spin is one key requirement of future
devices for quantum computing and communication. Scattering at defects or
impurities may seriously reduce the coherence of quantum-mechanical states,
thereby affecting device functionality. While numerous methods exist to
experimentally assess c... | http://arxiv.org/abs/2303.00393v1 |
Language models have graduated from being research prototypes to
commercialized products offered as web APIs, and recent works have highlighted
the multilingual capabilities of these products. The API vendors charge their
users based on usage, more specifically on the number of ``tokens'' processed
or generated by the ... | http://arxiv.org/abs/2305.13707v1 |
The critical challenge of Semi-Supervised Learning (SSL) is how to
effectively leverage the limited labeled data and massive unlabeled data to
improve the model's generalization performance. In this paper, we first revisit
the popular pseudo-labeling methods via a unified sample weighting formulation
and demonstrate th... | http://arxiv.org/abs/2301.10921v2 |
Graph convolutional network (GCN) has been successfully applied to capture
global non-consecutive and long-distance semantic information for text
classification. However, while GCN-based methods have shown promising results
in offline evaluations, they commonly follow a seen-token-seen-document
paradigm by constructing... | http://arxiv.org/abs/2304.04152v1 |
Boundaries of Walker-Wang models have been used to construct commuting
projector models which realize chiral unitary modular tensor categories (UMTCs)
as boundary excitations. Given a UMTC $\mathcal{A}$ representing the Witt class
of an anomaly, the article [arXiv:2208.14018] gave a commuting projector model
associated... | http://arxiv.org/abs/2305.14068v2 |
High-precision modeling of systems is one of the main areas of industrial
data analysis. Models of systems, their digital twins, are used to predict
their behavior under various conditions. We have developed several models of a
storage system using machine learning-based generative models. The system
consists of severa... | http://arxiv.org/abs/2307.02073v1 |
In this article, we study algebraic properties of binomial edge ideals of
Levi graphs associated with certain plane curve arrangements. Using
combinatorial properties of Levi graphs, we discuss the Cohen-Macaulayness of
binomial edge ideals of Levi graphs associated to some curve arrangements in
the complex projective ... | http://arxiv.org/abs/2310.08191v3 |
For decades, the application of muon tomography to spent nuclear fuel (SNF)
cask imaging has been theoretically evaluated and experimentally verified by
many research groups around the world, including Los Alamos National Laboratory
in the United States, Canadian Nuclear Laboratory in Canada, the National
Institute for... | http://arxiv.org/abs/2304.14427v1 |
DAG-based consensus has attracted significant interest due to its high
throughput in asynchronous network settings. However, existing protocols such
as DAG-rider (Keidar et al., PODC 2021) and ``Narwhal and Tusk'' (Danezis et
al., Eurosys 2022) face two undesired practical issues: (1) high transaction
latency and (2) h... | http://arxiv.org/abs/2307.15269v2 |
The coupling of microwave and optical systems presents an immense challenge
due to the natural incompatibility of energies, but potential applications
range from optical interconnects for quantum computers to next-generation
quantum microwave sensors, detectors or coherent imagers. Several engineered
platforms have eme... | http://arxiv.org/abs/2302.08380v2 |
Over-generalization is a thorny issue in cognitive science, where people may
become overly cautious due to past experiences. Agents in multi-agent
reinforcement learning (MARL) also have been found to suffer relative
over-generalization (RO) as people do and stuck to sub-optimal cooperation.
Recent methods have shown t... | http://arxiv.org/abs/2306.05353v1 |
Recently, diffusion models have achieved great success in image synthesis.
However, when it comes to the layout-to-image generation where an image often
has a complex scene of multiple objects, how to make strong control over both
the global layout map and each detailed object remains a challenging task. In
this paper,... | http://arxiv.org/abs/2303.17189v2 |
Based on the closed operational laws in picture fuzzy numbers and strict
triangular norms, we extend the Bonferroni mean (BM) operator under the picture
fuzzy environment to propose the picture fuzzy interactional Bonferroni mean
(PFIBM), picture fuzzy interactional weighted Bonferroni mean (PFIWBM), and
picture fuzzy ... | http://arxiv.org/abs/2301.01192v1 |
Recent experiments reported that the magnetic field can drive the Lifshitz
transition and one-dimensional (1D) Weyl nodes in the quantum limit of
three-dimensional pentatellurides, as they own low carrier densities and can
achieve the extreme quantum limit at a low magnetic field. In this paper, we
will investigate the... | http://arxiv.org/abs/2310.10906v1 |
Processes of random tessellations of the Euclidean space $\mathbb{R}^d$,
$d\geq 1$, are considered which are generated by subsequent division of their
cells. Such processes are characterized by the laws of the life times of the
cells until their division and by the laws for the random hyperplanes that
divide the cells ... | http://arxiv.org/abs/2303.16297v2 |
Machine learning has been applied to the problem of X-ray diffraction phase
prediction with promising results. In this paper, we describe a method for
using machine learning to predict crystal structure phases from X-ray
diffraction data of transition metals and their oxides. We evaluate the
performance of our method a... | http://arxiv.org/abs/2305.15410v1 |
The present study introduces the notions of statistical convergence of order
$\alpha$ and strong $p-$ Ces\`{a}ro summability of order $\alpha$ in partial
metric spaces. Also, we examine the inclusion relations between these concepts.
In addition, we introduce the notion of $\lambda -$% statistical convergence of
order ... | http://arxiv.org/abs/2304.02245v1 |
We study the L\'evy spin glass model, a fully connected model on $N$ vertices
with heavy-tailed interactions governed by a power law distribution of order
$0<\alpha<2.$ Our investigation is divided into three cases $0<\alpha<1$,
$\alpha=1$, and $1<\alpha<2.$ When $1<\alpha<2,$ we identify a high temperature
regime, in ... | http://arxiv.org/abs/2303.06084v4 |
In this paper we have addressed the implementation of the accumulation and
projection of high-resolution event data stream (HD -1280 x 720 pixels) onto
the image plane in FPGA devices. The results confirm the feasibility of this
approach, but there are a number of challenges, limitations and trade-offs to
be considered... | http://arxiv.org/abs/2307.14177v1 |
We prove that superclub implies $\mathfrak{s}=\aleph_1$. More generally,
superclub at a successor of a weakly compact cardinal implies
$\mathfrak{s}_\kappa=\kappa^+$. Based on this statement, we separate tiltan
from superclub at a successor of a supercompact cardinal. We use Galvin's
property in order to separate tilta... | http://arxiv.org/abs/2302.00904v2 |
Most research on hate speech detection has focused on English where a
sizeable amount of labeled training data is available. However, to expand hate
speech detection into more languages, approaches that require minimal training
data are needed. In this paper, we test whether natural language inference
(NLI) models whic... | http://arxiv.org/abs/2306.03722v2 |
Random ensembles of pure states have proven to be extremely important in
various aspects of quantum physics such as benchmarking the performance of
quantum circuits, testing for quantum advantage, providing novel insights for
many-body thermalization and studying the black hole information paradox.
Although generating ... | http://arxiv.org/abs/2305.01465v3 |
This paper introduces a new regularized version of the robust
$\tau$-regression estimator for analyzing high-dimensional datasets subject to
gross contamination in the response variables and covariates (explanatory
variables). The resulting estimator, termed adaptive $\tau$-Lasso, is robust to
outliers and high-leverag... | http://arxiv.org/abs/2304.09310v3 |
The COVID-19 pandemic has highlighted the need for innovative solutions to
monitor and control the spread of infectious diseases. With the potential for
future pandemics and the risk of outbreaks particularly in academic
institutions, there is a pressing need for effective approaches to monitor and
manage such diseases... | http://arxiv.org/abs/2307.10311v1 |
Energy efficiency and low latency are crucial requirements for designing
wearable AI-empowered human activity recognition systems, due to the hard
constraints of battery operations and closed-loop feedback. While neural
network models have been extensively compressed to match the stringent edge
requirements, spiking ne... | http://arxiv.org/abs/2308.00787v1 |
Recording animal behaviour is an important step in evaluating the well-being
of animals and further understanding the natural world. Current methods for
documenting animal behaviour within a zoo setting, such as scan sampling,
require excessive human effort, are unfit for around-the-clock monitoring, and
may produce hu... | http://arxiv.org/abs/2306.11326v1 |
Van der Waals (vdWs) heterostructures assembled by stacking 2D crystal layers
have proven to be a new material platform for high-performance optoelectronic
applications such as thin film transistors, photodetectors, and emitters. Here,
we demonstrate a novel device with strain tuning capabilities using MoS2/Sb2Te3
vdWs... | http://arxiv.org/abs/2305.08327v1 |
Taxonomy is formulated as directed acyclic concepts graphs or trees that
support many downstream tasks. Many new coming concepts need to be added to an
existing taxonomy. The traditional taxonomy expansion task aims only at finding
the best position for new coming concepts in the existing taxonomy. However,
they have t... | http://arxiv.org/abs/2303.14480v1 |
This paper presents a novel Diffusion-Wavelet (DiWa) approach for
Single-Image Super-Resolution (SISR). It leverages the strengths of Denoising
Diffusion Probabilistic Models (DDPMs) and Discrete Wavelet Transformation
(DWT). By enabling DDPMs to operate in the DWT domain, our DDPM models
effectively hallucinate high-f... | http://arxiv.org/abs/2304.01994v2 |
Shower development dynamics for a jet traveling through the quark-gluon
plasma (QGP) is a multiscale process, where the heavy flavor mass is an
important scale. During the high virtuality portion of the jet evolution in the
QGP, emission of gluons from a heavy flavor is modified owing to heavy quark
mass. Medium-induce... | http://arxiv.org/abs/2307.09640v2 |
Graph Convolutional Networks (GCN) have been recently employed as core
component in the construction of recommender system algorithms, interpreting
user-item interactions as the edges of a bipartite graph. However, in the
absence of side information, the majority of existing models adopt an approach
of randomly initial... | http://arxiv.org/abs/2303.15946v1 |
Amateurs working on mini-films and short-form videos usually spend lots of
time and effort on the multi-round complicated process of setting and adjusting
scenes, plots, and cameras to deliver satisfying video shots. We present
Virtual Dynamic Storyboard (VDS) to allow users storyboarding shots in virtual
environments,... | http://arxiv.org/abs/2301.12688v3 |
We explore the impact of strong classical color fields, which occur in the
earliest stages of heavy-ion collisions and are known as the Glasma, on the
classical transport of hard probes, namely heavy quarks and jets. To achieve
this, we simulate SU(3) color fields using classical real-time lattice gauge
theory and coup... | http://arxiv.org/abs/2303.05599v3 |
Reinforcement learning (RL) is a branch of machine learning that has been
used in a variety of applications such as robotics, game playing, and
autonomous systems. In recent years, there has been growing interest in
applying RL to quantitative trading, where the goal is to make profitable
trades in financial markets. T... | http://arxiv.org/abs/2304.06037v1 |
Matrix factorization-based recommender system is in effect an angle
preserving dimensionality reduction technique. Since the frequency of items
follows power-law distribution, most vectors in the original dimension of user
feature vectors and item feature vectors lie on the same hyperplane. However,
it is very difficul... | http://arxiv.org/abs/2301.03791v1 |
We study the fundamental limits of matching pursuit, or the pure greedy
algorithm, for approximating a target function $ f $ by a linear combination
$f_n$ of $n$ elements from a dictionary. When the target function is contained
in the variation space corresponding to the dictionary, many impressive works
over the past ... | http://arxiv.org/abs/2307.07679v3 |
Learning decompositions of expensive-to-evaluate black-box functions promises
to scale Bayesian optimisation (BO) to high-dimensional problems. However, the
success of these techniques depends on finding proper decompositions that
accurately represent the black-box. While previous works learn those
decompositions based... | http://arxiv.org/abs/2301.12844v2 |
At the staggering pace with which the capabilities of large language models
(LLMs) are increasing, creating future-proof evaluation sets to assess their
understanding becomes more and more challenging. In this paper, we propose a
novel paradigm for evaluating LLMs which leverages the idea that correct world
understandi... | http://arxiv.org/abs/2305.11662v3 |
Morphological development into evolutionary patterns under structural
instability is ubiquitous in living systems and often of vital importance for
engineering structures. Here we propose a data-driven approach to understand
and predict their spatiotemporal complexities. A machine-learning framework is
proposed based o... | http://arxiv.org/abs/2308.11846v1 |
We present nested sequent systems for propositional G\"odel-Dummett logic and
its first-order extensions with non-constant and constant domains, built atop
nested calculi for intuitionistic logics. To obtain nested systems for these
G\"odel-Dummett logics, we introduce a new structural rule, called the
"linearity rule,... | http://arxiv.org/abs/2306.07550v2 |
Human beings always engage in a vast range of activities and tasks that
demonstrate their ability to adapt to different scenarios. Any human activity
can be represented as a temporal sequence of actions performed to achieve a
certain goal. Unlike the time series datasets extracted from electronics or
machines, these ac... | http://arxiv.org/abs/2307.10305v1 |
We introduce dataset multiplicity, a way to study how inaccuracies,
uncertainty, and social bias in training datasets impact test-time predictions.
The dataset multiplicity framework asks a counterfactual question of what the
set of resultant models (and associated test-time predictions) would be if we
could somehow ac... | http://arxiv.org/abs/2304.10655v1 |
One of the important problems with the existence of weak gravity conjecture
($WGC$) is the violation of the cosmic censorship. Such a cosmic phenomena is
important and consistent in general relativity. It means that for a charged
black hole in four dimensions and in the normal state, the $WGC$ cannot hold
due to the vi... | http://arxiv.org/abs/2307.09654v1 |
In this paper, we study the problem of (finite horizon tabular) Markov
decision processes (MDPs) with heavy-tailed rewards under the constraint of
differential privacy (DP). Compared with the previous studies for private
reinforcement learning that typically assume rewards are sampled from some
bounded or sub-Gaussian ... | http://arxiv.org/abs/2306.01121v2 |
We study analytic aspects of the Dunkl-type Hankel transform, which goes back
to Baker and Forrester and, in an earlier symmetrized version, to Macdonald.
Moreover, we introduce a Dunkl analogue of the Bessel function and K-Bessel
function generalizing those of a symmetric cone. Further, we take a look at
zeta integral... | http://arxiv.org/abs/2303.15952v2 |
The layered ATMPn$_2$ (A = alkali earth or rare earth atom, TM = transition
metal, Pn = Sb, Bi) compounds are widely studied for their rich magnetism and
electronic structure topology. Here, we characterize the physical properties of
LaMn$_x$Sb$_2$, an understudied member of the ATMPn$_2$ family. LaMn$_x$Sb$_2$
forms w... | http://arxiv.org/abs/2308.12397v1 |
Few-shot node classification, which aims to predict labels for nodes on
graphs with only limited labeled nodes as references, is of great significance
in real-world graph mining tasks. Particularly, in this paper, we refer to the
task of classifying nodes in classes with a few labeled nodes as the few-shot
node classif... | http://arxiv.org/abs/2306.15154v1 |
Modern society is getting accustomed to the Internet of Things (IoT) and
Cyber-Physical Systems (CPS) for a variety of applications that involves
security-critical user data and information transfers. In the lower end of the
spectrum, these devices are resource-constrained with no attack protection.
They become a soft ... | http://arxiv.org/abs/2305.03266v1 |
We aim to address the following question: if we start with a quantum state
with a spontaneously broken higher-form symmetry, what is the fate of the
system under weak local quantum measurements? We demonstrate that under certain
conditions, a phase transition can be driven by weak measurements, which
suppresses the spo... | http://arxiv.org/abs/2304.14433v2 |
Understanding the location of ultra-wideband (UWB) tag-attached objects and
people in the real world is vital to enabling a smooth cyber-physical
transition. However, most UWB localization systems today require multiple
anchors in the environment, which can be very cumbersome to set up. In this
work, we develop XRLoc, ... | http://arxiv.org/abs/2307.12512v4 |
In this study we investigate the directional scattering of terahertz
radiation by dielectric cylinders, focusing on the enhancement of
directionality using incident radiation of complex-frequency. We explore the
optimization of the second Kerker condition, which corresponds to backward
scattering. At first, by carefull... | http://arxiv.org/abs/2305.04509v2 |
Liquidity providers are essential for the function of decentralized exchanges
to ensure liquidity takers can be guaranteed a counterparty for their trades.
However, liquidity providers investing in liquidity pools face many risks, the
most prominent of which is impermanent loss. Currently, analysis of this metric
is di... | http://arxiv.org/abs/2301.06831v1 |
Microservices architecture is one of the new architectural styles that has
improved in recent years. It has become a popular architectural style among
system architects and developers. This popularity increased with the advent of
new technologies and technological advancements in cloud computing. These
advancements cau... | http://arxiv.org/abs/2308.05833v1 |
We investigate the conformational properties of a multi-branched polymer
structure with a dendrimer-like topology, known as a snowflake polymer. This
polymer is characterized by two parameters: $f_s$, which represents the
functionality of the central star-like core, and $f$, which represents the
functionality of the si... | http://arxiv.org/abs/2306.13525v1 |
Feature matching is an important computer vision task that involves
estimating correspondences between two images of a 3D scene, and dense methods
estimate all such correspondences. The aim is to learn a robust model, i.e., a
model able to match under challenging real-world changes. In this work, we
propose such a mode... | http://arxiv.org/abs/2305.15404v2 |
Relation extraction models trained on a source domain cannot be applied on a
different target domain due to the mismatch between relation sets. In the
current literature, there is no extensive open-source relation extraction
dataset specific to the finance domain. In this paper, we release FinRED, a
relation extraction... | http://arxiv.org/abs/2306.03736v1 |
Spiking neural networks are becoming increasingly popular for their low
energy requirement in real-world tasks with accuracy comparable to the
traditional ANNs. SNN training algorithms face the loss of gradient information
and non-differentiability due to the Heaviside function in minimizing the model
loss over model p... | http://arxiv.org/abs/2302.00910v2 |
Combining information both within and between sample realizations, we propose
a simple estimator for the local regularity of surfaces in the functional data
framework. The independently generated surfaces are measured with errors at
possibly random discrete times. Non-asymptotic exponential bounds for the
concentration... | http://arxiv.org/abs/2307.14163v3 |
Dielectric nanoresonators have been shown to circumvent the heavy optical
losses associated with plasmonic devices, however they suffer from less
confined resonances. By constructing a hybrid system of both dielectric and
metallic materials, one can retain the low losses of dielectric resonances,
whilst gaining additio... | http://arxiv.org/abs/2304.02537v2 |
In the framework of nonrelativistic QCD, the excited doubly heavy baryons are
thoroughly studied via the channel $e^{+} e^{-}\rightarrow \langle
QQ^{\prime}\rangle[n] \rightarrow \Xi_{QQ^{\prime}} +\bar{Q^{\prime}}
+\bar{Q}$, which takes place at the collision energy $Z$-pole. $Q^{(\prime)}$
represents $b$ or $c$ quark... | http://arxiv.org/abs/2305.15362v2 |
We propose an automated lowest floor elevation (LFE) estimation algorithm
based on computer vision techniques to leverage the latent information in
street view images. Flood depth-damage models use a combination of LFE and
flood depth for determining flood risk and extent of damage to properties. We
used image segmenta... | http://arxiv.org/abs/2306.03050v1 |
Recent rapid development of sensor technology has allowed massive
fine-grained time series (TS) data to be collected and set the foundation for
the development of data-driven services and applications. During the process,
data sharing is often involved to allow the third-party modelers to perform
specific time series d... | http://arxiv.org/abs/2301.01838v1 |
Point cloud analysis (such as 3D segmentation and detection) is a challenging
task, because of not only the irregular geometries of many millions of
unordered points, but also the great variations caused by depth, viewpoint,
occlusion, etc. Current studies put much focus on the adaption of neural
networks to the comple... | http://arxiv.org/abs/2307.14605v1 |
Delivering meaningful uncertainty estimates is essential for a successful
deployment of machine learning models in the clinical practice. A central
aspect of uncertainty quantification is the ability of a model to return
predictions that are well-aligned with the actual probability of the model
being correct, also know... | http://arxiv.org/abs/2303.01099v1 |
Many applications of text generation such as summarization benefit from
accurately controlling the text length. Existing approaches on
length-controlled summarization either result in degraded performance or can
only control the length approximately. In this work, we present a framework to
generate summaries with preci... | http://arxiv.org/abs/2305.05171v1 |
We introduce a new benchmark, COVID-VTS, for fact-checking multi-modal
information involving short-duration videos with COVID19- focused information
from both the real world and machine generation. We propose, TwtrDetective, an
effective model incorporating cross-media consistency checking to detect
token-level malicio... | http://arxiv.org/abs/2302.07919v1 |
The trimaximal mixing scheme is one of the widely studied neutrino mixing
schemes. However, the predicted solar neutrino mixing angle $\theta_{12}$ and
the reactor neutrino mixing angle $\theta_{13}$ cannot simultaneously realize
their best-fit values. To address this issue, a minimal modification to the
trimaximal mix... | http://arxiv.org/abs/2306.13243v2 |
Adapting the User Interface (UI) of software systems to user requirements and
the context of use is challenging. The main difficulty consists of suggesting
the right adaptation at the right time in the right place in order to make it
valuable for end-users. We believe that recent progress in Machine Learning
techniques... | http://arxiv.org/abs/2308.13937v2 |
Moving Target Defense and Cyber Deception emerged in recent years as two key
proactive cyber defense approaches, contrasting with the static nature of the
traditional reactive cyber defense. The key insight behind these approaches is
to impose an asymmetric disadvantage for the attacker by using deception and
randomiza... | http://arxiv.org/abs/2303.00387v2 |
We present CALLS, a Japanese speech corpus that considers phone calls in a
customer center as a new domain of empathetic spoken dialogue. The existing
STUDIES corpus covers only empathetic dialogue between a teacher and student in
a school. To extend the application range of empathetic dialogue speech
synthesis (EDSS),... | http://arxiv.org/abs/2305.13713v1 |
Vector autoregressions (VARs) have an associated order $p$; conditional on
observations at the preceding $p$ time points, the variable at time $t$ is
conditionally independent of all the earlier history. Learning the order of the
model is therefore vital for its characterisation and subsequent use in
forecasting. It is... | http://arxiv.org/abs/2307.05708v1 |
The latest generation of radio surveys are now producing sky survey images
containing many millions of radio sources. In this context it is highly
desirable to understand the performance of radio image source finder (SF)
software and to identify an approach that optimises source detection
capabilities. We have created ... | http://arxiv.org/abs/2304.14355v1 |
In this study the problem of Federated Learning (FL) is explored under a new
perspective by utilizing the Deep Equilibrium (DEQ) models instead of
conventional deep learning networks. We claim that incorporating DEQ models
into the federated learning framework naturally addresses several open problems
in FL, such as th... | http://arxiv.org/abs/2305.18646v1 |
In this paper, we consider the viscous, incompressible, nonlinear Boussinesq
system in two and three spatial dimension. We study the existence and
regularity of solutions to the Boussinesq system with nonhomogeneous boundary
conditions for which the normal component for the velocity is not necessary
equal to zero. We e... | http://arxiv.org/abs/2306.10992v1 |
We present a systematic study demonstrating the impact of lattice QCD data on
the extraction of generalised parton distributions (GPDs). For this purpose, we
use a previously developed modelling of GPDs based on machine learning
techniques fulfilling the theoretical requirements of polynomiality, a form of
positivity c... | http://arxiv.org/abs/2306.01647v1 |
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