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Matrix factorization is an inference problem that has acquired importance due
to its vast range of applications that go from dictionary learning to
recommendation systems and machine learning with deep networks. The study of
its fundamental statistical limits represents a true challenge, and despite a
decade-long histo... | http://arxiv.org/abs/2307.16564v1 |
We prove the Hardy--Stein identity for vector functions in $L^p(\mathbb
R^d;\mathbb R^n)$ with $1<p<\infty$ and for the canonical paring of two real
functions in $L^p(\mathbb R^d)$ with $2\le p<\infty$. To this end we propose a
notion of Bregman co-divergence and study the corresponding integral forms. | http://arxiv.org/abs/2309.09856v1 |
The exponential growth of question answering (QA) has made it an
indispensable topic in any Natural Language Processing (NLP) course.
Additionally, the breadth of QA derived from this exponential growth makes it
an ideal scenario for teaching related NLP topics such as information
retrieval, explainability, and adversa... | http://arxiv.org/abs/2305.19748v2 |
The emergent ability of Large Language Models to use a small number of
examples to learn to perform in novel domains and tasks, also called in-context
learning (ICL). In this work, we show that a much smaller model can be trained
to perform ICL by fine-tuning towards a specialized training objective,
exemplified on the... | http://arxiv.org/abs/2309.08590v1 |
Transformer models have achieved remarkable success in various machine
learning tasks but suffer from high computational complexity and resource
requirements. The quadratic complexity of the self-attention mechanism further
exacerbates these challenges when dealing with long sequences and large
datasets. Specialized AI... | http://arxiv.org/abs/2309.16976v1 |
Integrated quantum photonics, with potential applications in quantum
information processing, relies on the integration of quantum emitters into
on-chip photonic circuits. Hexagonal boron nitride (hBN) is recognized as a
material that is compatible with such implementations, owing to its relatively
high refractive index... | http://arxiv.org/abs/2304.00130v2 |
Could there be a quantum superposition of consciousness, as in the Wigner's
friend thought experiment? The integrated information theory (IIT) of
consciousness has turned this into a well-defined question. According to IIT,
consciousness is a measurable physical quantity given by integrated information
($\Phi$), such t... | http://arxiv.org/abs/2309.13826v1 |
We report on the use of an optically-trapped microsphere as an acoustic
transducer. A model for the hydrodynamic coupling between the microsphere and
the surrounding acoustic fluid flow is combined with thermo-mechanical
calibration of the microsphere's position detection to enable quantitative
acoustic measurements. W... | http://arxiv.org/abs/2310.00087v1 |
By training linear physical networks to learn linear transformations, we
discern how their physical properties evolve due to weight update rules. Our
findings highlight a striking similarity between the learning behaviors of such
networks and the processes of aging and memory formation in disordered and
glassy systems.... | http://arxiv.org/abs/2309.04382v2 |
Hallucination in a foundation model (FM) refers to the generation of content
that strays from factual reality or includes fabricated information. This
survey paper provides an extensive overview of recent efforts that aim to
identify, elucidate, and tackle the problem of hallucination, with a particular
focus on ``Larg... | http://arxiv.org/abs/2309.05922v1 |
A coupled oscillator network may be able to perform an energy-efficient
associative memory operation. However, its realization has been difficult
because inhomogeneities unavoidably arise among the oscillators during
fabrication and lead to an unreliable operation. This issue could be resolved
if the oscillator network... | http://arxiv.org/abs/2309.13198v3 |
Recent cosmological tensions, in particular, to infer the local value of the
Hubble constant $H_0$, have developed new independent techniques to constrain
cosmological parameters in several cosmologies. Moreover, even when the
concordance Cosmological Constant Cold Dark Matter ($\Lambda$CDM) model has
been well constra... | http://arxiv.org/abs/2309.12292v2 |
We define a notion of grading of a monoid T in a monoidal category C,
relative to a class of morphisms M (which provide a notion of M-subobject). We
show that, under reasonable conditions (including that M forms a factorization
system), there is a canonical grading of T. Our application is to graded monads
and models o... | http://arxiv.org/abs/2307.16558v1 |
Neural network-based decisions tend to be overconfident, where their raw
outcome probabilities do not align with the true decision probabilities.
Calibration of neural networks is an essential step towards more reliable deep
learning frameworks. Prior metrics of calibration error primarily utilize crisp
bin membership-... | http://arxiv.org/abs/2305.00543v2 |
In recent years, large convolutional neural networks have been widely used as
tools for image deblurring, because of their ability in restoring images very
precisely. It is well known that image deblurring is mathematically modeled as
an ill-posed inverse problem and its solution is difficult to approximate when
noise ... | http://arxiv.org/abs/2305.19774v1 |
Pretrained vision-language models, such as CLIP, show promising zero-shot
performance across a wide variety of datasets. For closed-set classification
tasks, however, there is an inherent limitation: CLIP image encoders are
typically designed to extract generic image-level features that summarize
superfluous or confoun... | http://arxiv.org/abs/2309.06581v1 |
This paper address the question of thermodynamic entropy production in the
context of the dynamical Casimir effect. Specifically, we study a scalar
quantum field confined within a one-dimensional ideal cavity subject to
time-varying boundary conditions dictated by an externally prescribed
trajectory of one of the cavit... | http://arxiv.org/abs/2309.07847v2 |
A network of spatially distributed data centers can provide operational
flexibility to power systems by shifting computing tasks among electrically
remote locations. However, harnessing this flexibility in real-time through the
standard optimization techniques is challenged by the need for sensitive
operational dataset... | http://arxiv.org/abs/2309.16792v2 |
We present the analytical solutions for the trajectories of particles that
spiral and plunge inward the event horizon along the timelike geodesics
following general non-equatorial paths within Kerr-Newman spacetimes. Our
studies encompass both bound and unbound motions. The solutions can be written
in terms of the elli... | http://arxiv.org/abs/2309.13832v3 |
Automated image caption generation is essential for improving the
accessibility and understanding of visual content. In this study, we introduce
FaceGemma, a model that accurately describes facial attributes such as
emotions, expressions, and features. Using FaceAttdb data, we generated
descriptions for 2000 faces with... | http://arxiv.org/abs/2309.13601v2 |
Instruction tuning is essential for large language models (LLMs) to become
interactive. While many instruction tuning datasets exist in English, there is
a noticeable lack in other languages. Also, their effectiveness has not been
well verified in non-English languages. We construct a Japanese instruction
dataset by ex... | http://arxiv.org/abs/2309.03412v2 |
We study the data complexity of consistent query answering (CQA) on databases
that may violate the primary key constraints. A repair is a maximal consistent
subset of the database. For a Boolean query $q$, the problem
$\mathsf{CERTAINTY}(q)$ takes a database as input, and asks whether or not each
repair satisfies $q$. ... | http://arxiv.org/abs/2309.15270v1 |
Recent years have witnessed significant progress in developing effective
training and fast sampling techniques for diffusion models. A remarkable
advancement is the use of stochastic differential equations (SDEs) and their
marginal-preserving ordinary differential equations (ODEs) to describe data
perturbation and gene... | http://arxiv.org/abs/2305.19947v3 |
We perform physical and numerical experiments to study the stick-slip
response of a stack of slabs in contact through dry frictional interfaces
driven in quasistatic shear. The ratio between the drive's stiffness and the
slab's shear stiffness controls the presence or absence of slip
synchronization. A sufficiently hig... | http://arxiv.org/abs/2301.13745v3 |
Code review is an essential activity for ensuring the quality and
maintainability of software projects. However, it is a time-consuming and often
error-prone task that can significantly impact the development process.
Recently, ChatGPT, a cutting-edge language model, has demonstrated impressive
performance in various n... | http://arxiv.org/abs/2309.08221v1 |
Far-from-equilibrium phenomena are critical to all natural and engineered
systems, and essential to biological processes responsible for life. For over a
century and a half, since Carnot, Clausius, Maxwell, Boltzmann, and Gibbs,
among many others, laid the foundation for our understanding of equilibrium
processes, scie... | http://arxiv.org/abs/2309.07112v1 |
The Gaussian graphical model (GGM) incorporates an undirected graph to
represent the conditional dependence between variables, with the precision
matrix encoding partial correlation between pair of variables given the others.
To achieve flexible and accurate estimation and inference of GGM, we propose
the novel method ... | http://arxiv.org/abs/2306.17584v1 |
Initialization of neural network weights plays a pivotal role in determining
their performance. Feature Imitating Networks (FINs) offer a novel strategy by
initializing weights to approximate specific closed-form statistical features,
setting a promising foundation for deep learning architectures. While the
applicabili... | http://arxiv.org/abs/2309.12279v1 |
We study subsets of countable recursively saturated models of $\mathsf{PA}$
which can be defined using pathologies in satisfaction classes. More precisely,
we characterize those subsets $X$ such that there is a satisfaction class $S$
where $S$ behaves correctly on an idempotent disjunction of length $c$ if and
only if ... | http://arxiv.org/abs/2303.18069v1 |
Successfully training Physics Informed Neural Networks (PINNs) for highly
nonlinear PDEs on complex 3D domains remains a challenging task. In this paper,
PINNs are employed to solve the 3D incompressible Navier-Stokes (NS) equations
at moderate to high Reynolds numbers for complex geometries. The presented
method utili... | http://arxiv.org/abs/2309.03374v3 |
A prominent goal of representation learning research is to achieve
representations which are factorized in a useful manner with respect to the
ground truth factors of variation. The fields of disentangled and equivariant
representation learning have approached this ideal from a range of
complimentary perspectives; howe... | http://arxiv.org/abs/2309.13167v1 |
Large Language Models (LLMs) have emerged as one of the most important
breakthroughs in NLP for their impressive skills in language generation and
other language-specific tasks. Though LLMs have been evaluated in various
tasks, mostly in English, they have not yet undergone thorough evaluation in
under-resourced langua... | http://arxiv.org/abs/2309.13173v2 |
Efficient navigation in unknown and dynamic environments is crucial for
expanding the application domain of mobile robots. The core challenge stems
from the nonavailability of a feasible global path for guiding
optimization-based local planners. As a result, existing local planners often
get trapped in poor local minim... | http://arxiv.org/abs/2309.08235v1 |
Newton-Raphson controller is a powerful prediction-based variable gain
integral controller. Basically, the classical model-based Newton-Raphson
controller requires two elements: the prediction of the system output and the
derivative of the predicted output with respect to the control input. In real
applications, the mo... | http://arxiv.org/abs/2309.17315v1 |
Outcome-dependent sampling designs are extensively utilized in various
scientific disciplines, including epidemiology, ecology, and economics, with
retrospective case-control studies being specific examples of such designs.
Additionally, if the outcome used for sample selection is also mismeasured,
then it is even more... | http://arxiv.org/abs/2309.11764v1 |
Pedestrian detection under valet parking scenarios is fundamental for
autonomous driving. However, the presence of pedestrians can be manifested in a
variety of ways and postures under imperfect ambient conditions, which can
adversely affect detection performance. Furthermore, models trained on
publicdatasets that incl... | http://arxiv.org/abs/2309.11002v2 |
Audio anti-spoofing for automatic speaker verification aims to safeguard
users' identities from spoofing attacks. Although state-of-the-art spoofing
countermeasure(CM) models perform well on specific datasets, they lack
generalization when evaluated with different datasets. To address this
limitation, previous studies ... | http://arxiv.org/abs/2305.19953v2 |
The quasisymmetric generating function of the set of permutations whose
inverses have a fixed descent set is known to be symmetric and Schur-positive.
The corresponding representation of the symmetric group is called the descent
representation. In this paper, we provide an extension of this result to
colored permutatio... | http://arxiv.org/abs/2309.13615v1 |
We consider the problem of uplink power control for distributed massive
multiple-input multiple-output systems where the base stations (BSs) are
equipped with 1-bit analog-to-digital converters (ADCs). The scenario with a
single-user equipment (UE) is first considered to provide insights into the
signal-tonoise-and-dis... | http://arxiv.org/abs/2309.09665v1 |
This study examines the use of a highly effective training method to conduct
one-class classification. The existence of both positive and negative examples
in the training data is necessary to develop an effective classifier in common
binary classification scenarios. Unfortunately, this criteria is not met in
many doma... | http://arxiv.org/abs/2309.16745v1 |
We investigate the dynamics of chemical reaction networks (CRNs) with the
goal of deriving an upper bound on their reaction rates. This task is
challenging due to the nonlinear nature and discrete structure inherent in
CRNs. To address this, we employ an information geometric approach, using the
natural gradient, to de... | http://arxiv.org/abs/2309.10334v1 |
Reconfigurable intelligent surface (RIS) is considered a prospective
technology for beyond fifth-generation (5G) networks to improve the spectral
and energy efficiency at a low cost. Prior works on the RIS mainly rely on
perfect channel state information (CSI), which imposes a huge computational
complexity. This work c... | http://arxiv.org/abs/2309.04341v1 |
Photometric characteristics for all models of Starlink satellites launched to
date are reviewed. The Original design that lacked brightness mitigation is the
most luminous. SpaceX installed a sunshade on the VisorSat model which reduced
its luminosity by a factor of 3. The visor was omitted on Post-VisorSat
spacecraft ... | http://arxiv.org/abs/2309.14152v3 |
Data visualization can be defined as the visual communication of information.
One important barometer for the success of a visualization is whether the
intents of the communicator(s) are faithfully conveyed. The processes of
constructing and displaying visualizations have been widely studied by our
community. However, ... | http://arxiv.org/abs/2309.05739v1 |
Full-body avatars are suggested to be beneficial for communication in virtual
environments, and consistency between users' voices and gestures is considered
essential to ensure communication quality. This paper propose extending the
functionality of a web-based VR platform to support the use of full-body
avatars and de... | http://arxiv.org/abs/2309.14634v1 |
Spreadsheets are a vital tool for end-user data management. Using large
language models for formula authoring assistance in these environments can be
difficult, as these models are expensive to train and challenging to deploy due
to their size (up to billions of parameters). We present FLAME, a
transformer-based model ... | http://arxiv.org/abs/2301.13779v2 |
In this article, we give a generalization to injective modules by using
$e$-exact sequences introduced by Akray in [1] and name it $e$-injective
modules and investigate their properties. We reprove both Baer criterion and
comparison theorem of homology using $e$-injective modules and $e$-injective
resolutions. Furtherm... | http://arxiv.org/abs/2309.10452v1 |
Surrogate-assisted evolutionary algorithms (SAEAs) hold significant
importance in resolving expensive optimization problems~(EOPs). Extensive
efforts have been devoted to improving the efficacy of SAEAs through the
development of proficient model-assisted selection methods. However, generating
high-quality solutions is... | http://arxiv.org/abs/2309.11994v2 |
Point cloud registration has seen recent success with several learning-based
methods that focus on correspondence matching and, as such, optimize only for
this objective. Following the learning step of correspondence matching, they
evaluate the estimated rigid transformation with a RANSAC-like framework. While
it is an... | http://arxiv.org/abs/2309.16023v1 |
The performance of a binary classifier is described by a confusion matrix
with four entries: the number of true positives (TP), true negatives (TN),
false positives (FP), and false negatives (FN).
The Matthew's Correlation Coefficient (MCC), F1, and Fowlkes--Mallows (FM)
scores are scalars that summarize a confusion ... | http://arxiv.org/abs/2305.00594v2 |
This paper present a control system for the attitude and low cost design of a
Bicopter. The control system uses a PID controller that receives feedback from
an IMU to calculate control inputs that adjust the Bicopters attitude (roll,
pitch and yaw angles) which is resistant to disturbances (wind noise) on a test
bed. T... | http://arxiv.org/abs/2309.08209v1 |
Pulmonary diseases rank prominently among the principal causes of death
worldwide. Curing them will require, among other things, a better understanding
of the many complex 3D tree-shaped structures within the pulmonary system, such
as airways, arteries, and veins. In theory, they can be modeled using
high-resolution im... | http://arxiv.org/abs/2309.17329v2 |
We demonstrate that Contrastive Decoding -- a simple, computationally light,
and training-free text generation method proposed by Li et al 2022 -- achieves
large out-of-the-box improvements over greedy decoding on a variety of
reasoning tasks. Originally shown to improve the perceived quality of long-form
text generati... | http://arxiv.org/abs/2309.09117v2 |
We introduce the notion of a wall-connected twin building and show that the
local-to-global principle holds for these twin buildings. As each twin building
satisfying Condition (co) (introduced in [7]) is wall-connected, we obtain a
strengthening of the main result of [7] that covers also the thick irreducible
affne tw... | http://arxiv.org/abs/2303.18041v1 |
Principal component analysis is a long-standing go-to method for exploring
multivariate data. The principal components are linear combinations of the
original variables, ordered by descending variance. The first few components
typically provide a good visual summary of the data. Tours also make linear
projections of th... | http://arxiv.org/abs/2301.00077v1 |
Normalizing Flows (NFs) describe a class of models that express a complex
target distribution as the composition of a series of bijective transformations
over a simpler base distribution. By limiting the space of candidate
transformations to diffeomorphisms, NFs enjoy efficient, exact sampling and
density evaluation, e... | http://arxiv.org/abs/2309.04433v1 |
Compressed Sparse Column (CSC) and Coordinate (COO) are popular compression
formats for sparse matrices. However, both CSC and COO are general purpose and
cannot take advantage of any of the properties of the data other than sparsity,
such as data redundancy. Highly redundant sparse data is common in many machine
learn... | http://arxiv.org/abs/2309.04355v1 |
The use of abusive language online has become an increasingly pervasive
problem that damages both individuals and society, with effects ranging from
psychological harm right through to escalation to real-life violence and even
death. Machine learning models have been developed to automatically detect
abusive language, ... | http://arxiv.org/abs/2309.14146v1 |
Calculations of excited states in Green's function formalism often invoke the
diagonal approximation, in which the quasiparticle states are taken from a
mean-field calculation. Here, we extend the stochastic approaches applied in
the many-body perturbation theory and overcome this limitation for large
systems in which ... | http://arxiv.org/abs/2309.15258v1 |
We investigate the differential emission rate of neutral scalar bosons from a
highly magnetized relativistic plasma. We show that three processes contribute
at the leading order: particle splitting ($\psi\rightarrow \psi+\phi $),
antiparticle splitting ($\bar{\psi} \rightarrow \bar{\psi}+\phi $), and
particle-antiparti... | http://arxiv.org/abs/2310.00050v2 |
When it comes to active particles, even an ideal-gas model in a harmonic
potential poses a mathematical challenge. An exception is a run-and-tumble
model (RTP) in one-dimension for which a stationary distribution is known
exactly. The case of two-dimensions is more complex but the solution is
possible. Incidentally, in... | http://arxiv.org/abs/2309.12537v1 |
The electric double layer (EDL) has a pivotal role in screening charges on
surfaces as in supercapacitor electrodes or colloidal and polymer solutions.
Its structure is determined by correlations between the finite-sized ionic
charge carriers of the underlying electrolyte and, this way, these correlations
affect the pr... | http://arxiv.org/abs/2309.06542v2 |
We compute the three-loop correction to the universal single-soft emission
current for the case of scattering amplitudes with two additional color-charged
partons. We present results valid for QCD and $\mathcal{N}=4$ super-symmetric
Yang-Mills theory. To achieve our results we develop a new integrand expansion
techniqu... | http://arxiv.org/abs/2309.07884v1 |
Electron cyclotron waves (whistlers), are commonly observed in plasmas near
Earth and the solar wind. In the presence of nonlinear mirror modes, bursts of
whistlers, usually called lion roars, have been observed within low magnetic
field regions associated to these modes. In the intracluster medium (ICM) of
galaxy clus... | http://arxiv.org/abs/2309.16751v1 |
For arbitrary varieties of universal algebras, we develop the theory around
the first and second-cohomology groups characterizing extensions realizing
affine datum. Restricted to varieties with a weak-difference term, extensions
realizing affine datum are exactly extensions with abelian kernels. This
recovers many clas... | http://arxiv.org/abs/2309.16989v2 |
We consider two distinct $q$-analogues of the bipartite distance matrix,
namely the $q$-bipartite distance matrix and the exponential distance matrix.
We provide formulae of the inverse for these matrices, which extend the
existing results for the bipartite distance matrix. These investigations lead
us to introduce a $... | http://arxiv.org/abs/2309.10320v1 |
In this paper, the nonlinear (orbital) stability of static 180^\circ N\'eel
walls in ferromagnetic films, under the reduced wave-type dynamics for the
in-plane magnetization proposed by Capella, Melcher and Otto [CMO07], is
established. It is proved that the spectrum of the linearized operator around
the static N\'eel ... | http://arxiv.org/abs/2309.04432v2 |
In Natural Language Processing (NLP), binary classification algorithms are
often evaluated using the F1 score. Because the sample F1 score is an estimate
of the population F1 score, it is not sufficient to report the sample F1 score
without an indication of how accurate it is. Confidence intervals are an
indication of ... | http://arxiv.org/abs/2309.14621v2 |
The swift advancement and widespread availability of foundational Large
Language Models (LLMs), complemented by robust fine-tuning methodologies, have
catalyzed their adaptation for innovative and industrious applications.
Enabling LLMs to recognize and interpret geospatial data, while offering a
linguistic access to v... | http://arxiv.org/abs/2310.01429v1 |
The search for new physics signals in Higgs precision measurements plays a
pivotal role in the High-Luminosity Large Hadron Collider (HL-LHC) and future
colliders programs. The Higgs properties are expected to be measured with great
experimental precision, implying higher-order perturbative computations of the
electrow... | http://arxiv.org/abs/2301.00076v3 |
Context: With the data releases from the astrometric space mission Gaia, the
exploration of the structure of the Milky Way has developed in unprecedented
detail and unveiled many previously unknown structures in the Galactic disc and
halo. One such feature is the phase spiral where the stars in the Galactic disc
form a... | http://arxiv.org/abs/2303.18040v3 |
Evaluation of QA systems is very challenging and expensive, with the most
reliable approach being human annotations of correctness of answers for
questions. Recent works (AVA, BEM) have shown that transformer LM encoder based
similarity metrics transfer well for QA evaluation, but they are limited by the
usage of a sin... | http://arxiv.org/abs/2309.12250v1 |
Despite the success of Transformer models in vision and language tasks, they
often learn knowledge from enormous data implicitly and cannot utilize
structured input data directly. On the other hand, structured learning
approaches such as graph neural networks (GNNs) that integrate prior
information can barely compete w... | http://arxiv.org/abs/2305.00581v1 |
This paper explicitly models a coarse and noisy quantization in a
communication system empowered by orthogonal time frequency space (OTFS) for
cost and power efficiency. We first point out, with coarse quantization, the
effective channel is imbalanced and thus no longer able to circularly shift the
transmitted symbols ... | http://arxiv.org/abs/2309.11759v3 |
Audio deepfake detection (ADD) is the task of detecting spoofing attacks
generated by text-to-speech or voice conversion systems. Spoofing evidence,
which helps to distinguish between spoofed and bona-fide utterances, might
exist either locally or globally in the input features. To capture these, the
Conformer, which c... | http://arxiv.org/abs/2309.08208v1 |
Controllable text generation is a fundamental aspect of natural language
generation, with numerous methods proposed for different constraint types.
However, these approaches often require significant architectural or decoding
modifications, making them challenging to apply to additional constraints or
resolve different... | http://arxiv.org/abs/2309.10447v2 |
We apply Markov Chain Monte Carlo (MCMC) to the problem of parametric galaxy
modeling, estimating posterior distributions of galaxy properties such as
ellipticity and brightness for more than 100,000 images of galaxies taken from
DC2, a simulated telescope survey resembling the upcoming Rubin Observatory
Legacy Survey ... | http://arxiv.org/abs/2309.10321v1 |
In the realm of biological flow networks, the ability to dynamically adjust
to varying demands is paramount. Drawing inspiration from the remarkable
adaptability of Physarum polycephalum, we present a novel physical mechanism
tailored to optimize flow networks. Central to our approach is the principle
that each network... | http://arxiv.org/abs/2309.16988v2 |
We present a complementarity that addresses relationships among the
parameters in the neutrino and the quark mixing matrix, use it to estimate the
size of the uncertainty among the elements in the matrix and address its
implications to the unitarity of the quark mixing matrix and Wolfenstein
parameterization and the te... | http://arxiv.org/abs/2309.00132v3 |
Making the large data sets collected at the Large Hadron Collider (LHC)
accessible to the world is a considerable challenge because of both the
complexity and the volume of data. This paper presents the Ntuple Wizard, an
application that leverages the existing computing infrastructure available to
the LHCb collaboratio... | http://arxiv.org/abs/2302.14235v2 |
The generative process of Diffusion Models (DMs) has recently set
state-of-the-art on many AI generation benchmarks. Though the generative
process is traditionally understood as an "iterative denoiser", there is no
universally accepted language to describe it. We introduce a novel perspective
to describe DMs using the ... | http://arxiv.org/abs/2309.16750v2 |
Despite the recent remarkable improvements in scene text recognition (STR),
the majority of the studies focused mainly on the English language, which only
includes few number of characters. However, STR models show a large performance
degradation on languages with a numerous number of characters (e.g., Chinese
and Kore... | http://arxiv.org/abs/2304.08592v1 |
We completely classify the locally finite, infinite graphs with pure mapping
class groups admitting a coarsely bounded generating set. We also study
algebraic properties of the pure mapping class group: We establish a semidirect
product decomposition, compute first integral cohomology, and classify when
they satisfy re... | http://arxiv.org/abs/2309.07885v1 |
The domain shift between training and testing data presents a significant
challenge for training generalizable deep learning models. As a consequence,
the performance of models trained with the independent and identically
distributed (i.i.d) assumption deteriorates when deployed in the real world.
This problem is exace... | http://arxiv.org/abs/2309.09670v1 |
Exceptional points (EPs) in open optical systems are rigorously studied using
the resonant-state expansion (RSE). A spherical resonator, specifically a
homogeneous dielectric sphere in a vacuum, perturbed by two point-like defects
which break the spherical symmetry and bring the optical modes to EPs, is used
as a worke... | http://arxiv.org/abs/2309.12536v3 |
We build a minimal model of dissipative vortex dynamics in two spatial
dimensions, subject to a kinematic constraint: dipole conservation. The
additional conservation law implies anomalously slow decay rates for vortices.
We argue that this model of vortex dynamics is relevant for a broad range of
time scales during a ... | http://arxiv.org/abs/2310.00051v1 |
Exploration into quantum machine learning has grown tremendously in recent
years due to the ability of quantum computers to speed up classical programs.
However, these efforts have yet to solve unsupervised similarity detection
tasks due to the challenge of porting them to run on quantum computers. To
overcome this cha... | http://arxiv.org/abs/2309.15259v1 |
This work conducts an evaluation of GPT-4V's multimodal capability for
medical image analysis, with a focus on three representative tasks of radiology
report generation, medical visual question answering, and medical visual
grounding. For the evaluation, a set of prompts is designed for each task to
induce the correspo... | http://arxiv.org/abs/2310.20381v5 |
Sparse Mixture-of-Experts models (MoEs) have recently gained popularity due
to their ability to decouple model size from inference efficiency by only
activating a small subset of the model parameters for any given input token. As
such, sparse MoEs have enabled unprecedented scalability, resulting in
tremendous successe... | http://arxiv.org/abs/2309.04354v1 |
This paper is concerned with identifying linear system dynamics without the
knowledge of individual system trajectories, but from the knowledge of the
system's reachable sets observed at different times. Motivated by a scenario
where the reachable sets are known from partially transparent manufacturer
specifications or... | http://arxiv.org/abs/2309.04340v1 |
This is the second of a series of papers in which we investigate the decay
estimates for dispersive equations with Aharonov-Bohm solenoids in a uniform
magnetic field. In our first starting paper \cite{WZZ}, we have studied the
Strichartz estimates for Schr\"odinger equation with one Aharonov-Bohm solenoid
in a uniform... | http://arxiv.org/abs/2309.07649v1 |
This paper presents a method to learn hand-object interaction prior for
reconstructing a 3D hand-object scene from a single RGB image. The inference as
well as training-data generation for 3D hand-object scene reconstruction is
challenging due to the depth ambiguity of a single image and occlusions by the
hand and obje... | http://arxiv.org/abs/2309.07891v5 |
Quite much recent studies has been attracted to the operated algebra since it
unifies various notions such as the differential algebra and the Rota-Baxter
algebra. An $\Omega$-operated algebra is a an (associative) algebra equipped
with a set $\Omega$ of linear operators which might satisfy certain operator
identities ... | http://arxiv.org/abs/2302.14221v3 |
We introduce a general method to determine the large scale non-equilibrium
steady-state properties of one-dimensional multi-species driven diffusive
systems with open boundaries, generalizing thus the max-min current principle
known for systems with a single type of particles. This method is based on the
solution of th... | http://arxiv.org/abs/2309.06231v1 |
We propose a novel Bayesian inference framework for distributed
differentially private linear regression. We consider a distributed setting
where multiple parties hold parts of the data and share certain summary
statistics of their portions in privacy-preserving noise. We develop a novel
generative statistical model fo... | http://arxiv.org/abs/2301.13778v2 |
In this work, we use general relativistic magnetohydrodynamics simulations to
explore the effect of spin orientation on the dynamics of gas in the vicinity
of merging black holes. We present a suite of eight simulations of
unequal-mass, spinning black hole binaries embedded in magnetized clouds of
matter. Each binary e... | http://arxiv.org/abs/2309.05738v1 |
We introduce the task of automatic human action co-occurrence identification,
i.e., determine whether two human actions can co-occur in the same interval of
time. We create and make publicly available the ACE (Action Co-occurrencE)
dataset, consisting of a large graph of ~12k co-occurring pairs of visual
actions and th... | http://arxiv.org/abs/2309.06219v3 |
Quantum decoherence effects in neutrinos, described by the open quantum
systems formalism, serve as a gateway to explore potential new physics,
including quantum gravity. Previous research extensively investigated these
effects across various neutrino sources, imposing stringent constraints on the
spontaneous loss of c... | http://arxiv.org/abs/2306.17591v2 |
This study proposes a novel planning framework based on a model predictive
control formulation that incorporates signal temporal logic (STL)
specifications for task completion guarantees and robustness quantification.
This marks the first-ever study to apply STL-guided trajectory optimization for
bipedal locomotion pus... | http://arxiv.org/abs/2309.13172v1 |
This article focuses on numerical efficiency of projection algorithms for
solving linear optimization problems. The theoretical foundation for this
approach is provided by the basic result that bounded finite dimensional linear
optimization problem can be solved by single projection operation on the
feasible polyhedron... | http://arxiv.org/abs/2309.03361v1 |
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