text string | source string |
|---|---|
Glaucoma is the leading cause of irreversible blindness worldwide and poses
significant diagnostic challenges due to its reliance on subjective evaluation.
However, recent advances in computer vision and deep learning have demonstrated
the potential for automated assessment. In this paper, we survey recent studies
on A... | http://arxiv.org/abs/2307.16528v1 |
Deep Neural Networks (DNNs) have been successfully used in classifying
digital images but have been less successful in classifying images with
meanings that are not linear combinations of their visualized features, like
images of artwork. Moreover, it is unknown what additional features must be
included into DNNs, so t... | http://arxiv.org/abs/2302.00594v1 |
Let $F$ be a non-archimedean local field of odd residual characteristic. We
compute the Jordan set of a simple cuspidal representation of a symplectic
group over $F$, using explicit computations of generators of the Hecke algebras
of covers reflecting the parabolic induction under study. When $F$ is a
$p$-adic field we... | http://arxiv.org/abs/2310.20455v1 |
In this paper, we discuss a variational approach to the length functional and
its relation to sub-Hamiltonian equations on sub-Finsler manifolds. Then, we
introduce the notion of the nonholonomic sub-Finslerian structure and prove
that the distributions are geodesically invariant concerning the Barthel
non-linear conne... | http://arxiv.org/abs/2309.03489v1 |
Most quantum theorists are familiar with different ways of describing the
effective quantum dynamics of a system coupled to external degrees of freedom,
such as the Born-Markov master equation or the adiabatic elimination.
Understanding the deep connection between these -- sometimes apparently
unrelated -- methods can ... | http://arxiv.org/abs/2305.19704v4 |
Let G be a connected simple Lie group with finite centre, K be a maximal
compact subgroup of G, and rank(G)= rank(K). Let \frak{g}_0=Lie(G),
\frak{k}_0=Lie(K) \subset \frak{g}_0, \frak{t}_0 be a maximal abelian
subalgebra of \frak{k}_0, \frak{g}=\frak{g}_0^\mathbb{C},
\frak{k}=\frak{k}_0^\mathbb{C}, and \frak{h}=\frak{... | http://arxiv.org/abs/2309.11099v1 |
The ocean profoundly influences human activities and plays a critical role in
climate regulation. Our understanding has improved over the last decades with
the advent of satellite remote sensing data, allowing us to capture essential
quantities over the globe, e.g., sea surface height (SSH). However, ocean
satellite da... | http://arxiv.org/abs/2309.15599v1 |
The popular robotic simulator, Gazebo, lacks the feature of simulating the
effects of control latency that would make it a fully-fledged cyber-physical
system (CPS) simulator. The CPS that we address to measure is a robotic arm
(UR5) controlled remotely with velocity commands. The main goal is to measure
Quality of Con... | http://arxiv.org/abs/2309.14687v1 |
We address the personalization of control systems, which is an attempt to
adjust inherent safety and other essential control performance based on each
user's personal preferences. A typical approach to personalization requires a
substantial amount of user feedback and data collection, which may result in a
burden on us... | http://arxiv.org/abs/2309.05952v2 |
Axions, if discovered, could serve as a powerful new messenger for studying
astrophysical objects. In this study we show how the Sun's spatial and spectral
"axion image" can be inverted to infer the radial dependence of solar
properties in a model-independent way. In particular, the future helioscope
IAXO may allow us ... | http://arxiv.org/abs/2306.00077v2 |
We introduce a mathematical framework for statistical exoplanet population
and astrobiology studies that may help directing future observational efforts
and experiments. The approach is based on a set of differential equations and
provides a time-dependent mapping between star formation, metal enrichment, and
the occur... | http://arxiv.org/abs/2309.11927v3 |
The longitudinal asymmetry in relativistic heavy ion collisions arises from
the fluctuation in the number of nucleons involved. This asymmetry causes a
rapidity shift in the center of mass of the participating zone. Both the
rapidity shift and the longitudinal asymmetry have been found to be significant
at the top CERN... | http://arxiv.org/abs/2308.16636v2 |
Accurate measurements of photonuclear reaction cross sections are crucial for
a number of applications, including radiation shielding design, absorbed dose
calculations, reactor physics and engineering, nuclear safeguard and
inspection, astrophysics, and nuclear medicine. Primarily motivated by the
study of the product... | http://arxiv.org/abs/2309.11270v1 |
We consider the eternal distance-2 domination problem, recently proposed by
Cox, Meger, and Messinger, on trees. We show that finding a minimum eternal
distance-2 dominating set of a tree is linear time in the order of the graph by
providing a fast algorithm. Additionally, we characterise when trees have an
eternal dis... | http://arxiv.org/abs/2308.00054v1 |
In the context of optical signal processing, quantum and quantum-inspired
machine learning algorithms have massive potential for deployment. One of the
applications is in error correction protocols for the received noisy signals.
In some scenarios, non-linear and unknown errors can lead to noise that
bypasses linear er... | http://arxiv.org/abs/2309.05205v2 |
Non-evaporable getter (NEG) coating is widely required in the next generation
of light sources and circular $e^+e^-$ colliders for small vacuum pipes to
improve the vacuum level, which, however, also enhances the high-frequency
resistive-wall impedance and often generates a resonator-like peak in the
terahertz frequenc... | http://arxiv.org/abs/2309.12779v1 |
Traditional evaluation metrics like ROUGE compare lexical overlap between the
reference and generated summaries without taking argumentative structure into
account, which is important for legal summaries. In this paper, we propose a
novel legal summarization evaluation framework that utilizes GPT-4 to generate
a set of... | http://arxiv.org/abs/2309.15016v2 |
Self-driving software pipelines include components that are learned from a
significant number of training examples, yet it remains challenging to evaluate
the overall system's safety and generalization performance. Together with
scaling up the real-world deployment of autonomous vehicles, it is of critical
importance t... | http://arxiv.org/abs/2309.15770v3 |
We describe the development of a course of quantum mechanics for secondary
school designed to address the challenges related to the revision of classical
knowledge, to the building of a well-organized knowledge structure on the
discipline, and to the development of a plausible picture of the quantum world.
The course i... | http://arxiv.org/abs/2301.00239v8 |
Large language models (LLMs) have achieved remarkable performance in various
evaluation benchmarks. However, concerns are raised about potential data
contamination in their considerable volume of training corpus. Moreover, the
static nature and fixed complexity of current benchmarks may inadequately gauge
the advancing... | http://arxiv.org/abs/2309.17167v3 |
Quantile Regression (QR) can be used to estimate aleatoric uncertainty in
deep neural networks and can generate prediction intervals. Quantifying
uncertainty is particularly important in critical applications such as clinical
diagnosis, where a realistic assessment of uncertainty is essential in
determining disease sta... | http://arxiv.org/abs/2309.07374v1 |
We consider the problem of training private recommendation models with access
to public item features. Training with Differential Privacy (DP) offers strong
privacy guarantees, at the expense of loss in recommendation quality. We show
that incorporating public item features during training can help mitigate this
loss i... | http://arxiv.org/abs/2309.11516v1 |
We present a general methodology that learns to classify images without
labels by leveraging pretrained feature extractors. Our approach involves
self-distillation training of clustering heads based on the fact that nearest
neighbours in the pretrained feature space are likely to share the same label.
We propose a nove... | http://arxiv.org/abs/2303.17896v2 |
Restricted Boltzmann Machines (RBMs) are well-known tools used in Machine
Learning to learn probability distribution functions from data. We analyse RBMs
with scalar fields on the nodes from the perspective of lattice field theory.
Starting with the simplest case of Gaussian fields, we show that the RBM acts
as an ultr... | http://arxiv.org/abs/2309.15002v2 |
When the disturbance input matrix is nonlinear, existing disturbance observer
design methods rely on the solvability of a partial differential equation or
the existence of an output function with a uniformly well-defined disturbance
relative degree, which can pose significant limitations. This note introduces a
systema... | http://arxiv.org/abs/2309.06718v2 |
We study relatively hyperbolic group pairs whose boundaries are Schottky
sets. We characterize the groups that have boundaries where the Schottky sets
have incidence graphs with 1 or 2 components. | http://arxiv.org/abs/2309.08735v1 |
We propose a novel protocol for computing a circuit which implements the
multi-party private set intersection functionality (PSI). Circuit-based
approach has advantages over using custom protocols to achieve this task, since
many applications of PSI do not require the computation of the intersection
itself, but rather ... | http://arxiv.org/abs/2309.07406v1 |
We solve the Wheeler DeWitt equation for the planar Reissner-Nordstr\"om-AdS
black hole in a minisuperspace approximation. We construct semiclassical
Wheeler DeWitt states from Gaussian wavepackets that are peaked on classical
black hole interior solutions. By using the metric component $g_{xx}$ as a
clock, these state... | http://arxiv.org/abs/2308.00040v2 |
The application of machine learning models in quantum information theory has
surged in recent years, driven by the recognition of entanglement and quantum
states, which are the essence of this field. However, most of these studies
rely on existing prefabricated models, leading to inadequate accuracy. This
work aims to ... | http://arxiv.org/abs/2309.03890v4 |
Federated learning (FL) is a popular approach to facilitate privacy-aware
machine learning since it allows multiple clients to collaboratively train a
global model without granting others access to their private data. It is,
however, known that FL can be vulnerable to membership inference attacks
(MIAs), where the trai... | http://arxiv.org/abs/2310.00222v1 |
We propose the new problem of choosing which dense retrieval model to use
when searching on a new collection for which no labels are available, i.e. in a
zero-shot setting. Many dense retrieval models are readily available. Each
model however is characterized by very differing search effectiveness -- not
just on the te... | http://arxiv.org/abs/2309.09403v1 |
Large deviation theory offers a powerful and general statistical framework to
study the asymptotic dynamical properties of rare events. The application of
the formalism to concrete experimental situations is, however, often restricted
by finite statistics. Data might not suffice to reach the asymptotic regime or
judge ... | http://arxiv.org/abs/2309.06056v1 |
Encapsulated atomic hydrogen in cube-shaped octa-silsesquioxane (POSS) cages
of the Si$_8$O$_{12}$R$_8$ type (where R is an organic group) is the simplest
alternative stable system to paramagnetic endohedral fullerenes (N@C$_{60}$ or
P@C$_{60}$) that have been regarded as key elements of spin-based quantum
technologies... | http://arxiv.org/abs/2309.09365v1 |
When simulating a lattice system near its critical temperature, local
algorithms for modeling the system's evolution can introduce very large
autocorrelation times into sampled data. This critical slowing down places
restrictions on the analysis that can be completed in a timely manner of the
behavior of systems around... | http://arxiv.org/abs/2302.14720v1 |
We study the gravitational wave (GW) signature in the doublet left-right
symmetric model (DLRSM) resulting from the strong first-order phase transition
(SFOPT) associated with $SU(2)_R\times U(1)_{B-L}$-breaking. For different
values of the symmetry-breaking scale $v_R =20,~30$, and $50$ TeV, we construct
the one-loop ... | http://arxiv.org/abs/2309.12023v2 |
Foley sound synthesis refers to the creation of authentic, diegetic sound
effects for media, such as film or radio. In this study, we construct a neural
Foley synthesizer capable of generating mono-audio clips across seven
predefined categories. Our approach introduces multiple enhancements to
existing models in the te... | http://arxiv.org/abs/2309.04641v1 |
Modern public blockchains like Ethereum rely on p2p networks to run
distributed and censorship-resistant applications. With its wide adoption, it
operates as a highly critical public ledger. On its transition to become more
scalable and sustainable, shifting to PoS without sacrificing the security and
resilience of PoW... | http://arxiv.org/abs/2309.13329v1 |
This article is concerned with the \emph{asymptotically autonomous
robustness} (almost surely and in probability) of non-autonomous random
attractors for two stochastic versions of 3D convective Brinkman-Forchheimer
(CBF) equations defined on the whole space $\mathbb{R}^3$:
$$\frac{\partial\boldsymbol{v}}{\partial t}... | http://arxiv.org/abs/2301.00211v2 |
Conical surfaces pose an interesting challenge to crystal growth: a crystal
growing on a cone can wrap around and meet itself at different radii. We use a
disk-packing algorithm to investigate how this closure constraint can
geometrically frustrate the growth of single crystals on cones with small
opening angles. By va... | http://arxiv.org/abs/2309.14446v1 |
The 1973 Kobayashi Maskawa paper proposed a compelling link between Cabibbo's
flavor-mixing scheme and CP violation but, since it required the existence of
six quarks at a time when the physics community was happy with only three, it
received zero attention. However, two years after the paper appeared -- at
which time ... | http://arxiv.org/abs/2309.06042v3 |
I introduce new Langlands duality conjectures concerning skein modules of
3-manifolds, which we have made recently with David Ben-Zvi, Sam Gunningham,
and Pavel Safronov. I recount some historical motivation and some recent
special cases where the conjecture is confirmed. The proofs in these cases
combine the represent... | http://arxiv.org/abs/2302.14734v1 |
We aim to provide a general framework of for computational photography that
recovers the real scene from imperfect images, via the Deep Nonparametric
Convexified Filtering (DNCF). It is consists of a nonparametric deep network to
resemble the physical equations behind the image formation, such as denoising,
super-resol... | http://arxiv.org/abs/2309.06724v2 |
Emotions, which are an important component of social interaction, can be
studied with the help of android robots and their appearance, which is as
similar to humans as possible. The production and customization of android
robots is expensive and time-consuming, so it may be practical to use a digital
replica. In order ... | http://arxiv.org/abs/2309.10146v1 |
Humans use different modalities, such as speech, text, images, videos, etc.,
to communicate their intent and goals with teammates. For robots to become
better assistants, we aim to endow them with the ability to follow instructions
and understand tasks specified by their human partners. Most robotic policy
learning met... | http://arxiv.org/abs/2309.14320v1 |
In recent years, half precision floating-point arithmetic has gained wide
support in hardware and software stack thanks to the advance of artificial
intelligence and machine learning applications. Operating at half precision can
significantly reduce the memory footprint comparing to operating at single or
double precis... | http://arxiv.org/abs/2310.00236v2 |
Recent advancements in data-driven task-oriented dialogue systems (ToDs)
struggle with incremental learning due to computational constraints and
time-consuming issues. Continual Learning (CL) attempts to solve this by
avoiding intensive pre-training, but it faces the problem of catastrophic
forgetting (CF). While gener... | http://arxiv.org/abs/2309.06917v1 |
The holographic system described by Einstein-Maxwell-Chern-Simons dynamics in
the bulk of AdS exhibits a chiral magnetic effect and a quantum critical point.
Through numerical calculations, we find that the butterfly velocity can serve
as a new identifier for the quantum critical point in this system. We show that
the ... | http://arxiv.org/abs/2307.16716v1 |
Via the adjunction $ - \boldsymbol{\cdot} 1 \dashv \mathcal V(1,-) \colon
\mathsf{Span}(\mathcal V) \to \mathcal V \text{-} \mathsf{Mat} $ and a
cartesian monad $ T $ on an extensive category $ \mathcal V $ with finite
limits, we construct an adjunction $ - \boldsymbol{\cdot} 1 \dashv \mathcal
V(1,-) \colon \mathsf{Cat... | http://arxiv.org/abs/2309.08084v2 |
Hashmaps are widely utilized data structures in many applications to perform
a probe on key-value pairs. However, their performance tends to degrade with
the increase in the dataset size, which leads to expensive off-chip memory
accesses to perform bucket traversals associated with hash collision. In this
work, we prop... | http://arxiv.org/abs/2306.17721v1 |
The representations of various color Lie superalgebras by Hilbert series are
the main topic of this work. The Color Lie superalgebras appear in various
branches of mathematics (e.g., topology, algebraic groups, etc.). They are
generalized Lie superalgebras. A generating function known as the Hilbert
series of color Lie... | http://arxiv.org/abs/2307.00160v1 |
We study the statistics of velocity circulation in two-dimensional classical
and quantum turbulence. We perform numerical simulations of the incompressible
Navier-Stokes and the Gross-Pitaevskii (GP) equations for the direct and
inverse cascades. Our GP simulations display clear energy spectra compatible
with the doubl... | http://arxiv.org/abs/2306.17735v3 |
This article discusses a universal way to create animation using Asymptote
the language for vector graphics. The Asymptote language itself has a built-in
library for creating animations, but its practical use is complicated by an
extremely brief description in the official documentation and unstable
execution of existi... | http://arxiv.org/abs/2310.06860v1 |
A grating coupler on 700-nm-thick Z-cut lithium-niobate-on-insulator platform
with high coupling efficiency, large bandwidth, and high fabrication tolerance
is designed and optimized by inverse design method. The optimized grating
coupler is fabricated with a single set of e-beam lithography and etching
process, and it... | http://arxiv.org/abs/2309.12976v1 |
Granular materials -- aggregates of many discrete, disconnected solid
particles -- are ubiquitous in natural and industrial settings. Predictive
models for their behavior have wide ranging applications, e.g. in defense,
mining, construction, pharmaceuticals, and the exploration of planetary
surfaces. In many of these a... | http://arxiv.org/abs/2308.16811v1 |
In conventional optical microscopes, image contrast of objects mainly results
from the differences in light intensity and/or color. Muller matrix optical
microscopes (MMMs), on the other hand, can provide significantly enhanced image
contrast and rich information about objects by analyzing their interactions
with polar... | http://arxiv.org/abs/2310.20131v3 |
Closed-set 3D perception models trained on only a pre-defined set of object
categories can be inadequate for safety critical applications such as
autonomous driving where new object types can be encountered after deployment.
In this paper, we present a multi-modal auto labeling pipeline capable of
generating amodal 3D ... | http://arxiv.org/abs/2309.14491v1 |
Based on the minimal and simple representations, we introduce two
Jacobson-type Hoehnke radicals, m-radical and s-radical, of a semiring $S$.
Every minimal (simple) $S$-semimodule is a quotient of $S$ by a regular right
congruence (maximal) $\mu$ on $S$ such that $[0]_\mu$ is a maximal
$\mu$-saturated right ideal in $S... | http://arxiv.org/abs/2306.16417v1 |
Graph Neural Networks (GNNs) have gained popularity in healthcare and other
domains due to their ability to process multi-modal and multi-relational
graphs. However, efficient training of GNNs remains challenging, with several
open research questions. In this paper, we investigate how the flow of
embedding information ... | http://arxiv.org/abs/2309.06081v1 |
Property-based testing is a powerful method to validate program correctness.
It is, however, not widely use in industry as the barrier of entry can be very
high. One of the hindrances is to write the generators that are needed to
generate randomised input data. Program properties often take complicated data
structures ... | http://arxiv.org/abs/2309.04696v2 |
A flurry of recent work has demonstrated that pre-trained large language
models (LLMs) can be effective task planners for a variety of single-robot
tasks. The planning performance of LLMs is significantly improved via prompting
techniques, such as in-context learning or re-prompting with state feedback,
placing new imp... | http://arxiv.org/abs/2309.15943v2 |
This paper introduces an improved duration informed attention neural network
(DurIAN-E) for expressive and high-fidelity text-to-speech (TTS) synthesis.
Inherited from the original DurIAN model, an auto-regressive model structure in
which the alignments between the input linguistic information and the output
acoustic f... | http://arxiv.org/abs/2309.12792v1 |
We present zephyr, a novel method that integrates cutting-edge normalizing
flow techniques into a mixture density estimation framework, enabling the
effective use of heterogeneous training data for photometric redshift
inference. Compared to previous methods, zephyr demonstrates enhanced
robustness for both point estim... | http://arxiv.org/abs/2310.20125v1 |
Novel applications such as the Metaverse have highlighted the potential of
beyond 5G networks, which necessitate ultra-low latency communications and
massive broadband connections. Moreover, the burgeoning demand for such
services with ever-fluctuating users has engendered a need for heightened
service continuity consi... | http://arxiv.org/abs/2309.10185v1 |
Diffusion probabilistic models have shown great success in generating
high-quality images controllably, and researchers have tried to utilize this
controllability into text generation domain. Previous works on diffusion-based
language models have shown that they can be trained without external knowledge
(such as pre-tr... | http://arxiv.org/abs/2305.19512v2 |
Direct speech-to-speech translation (S2ST) with discrete self-supervised
representations has achieved remarkable accuracy, but is unable to preserve the
speaker timbre of the source speech. Meanwhile, the scarcity of high-quality
speaker-parallel data poses a challenge for learning style transfer during
translation. We... | http://arxiv.org/abs/2309.07566v2 |
The hydrodynamic regime of the Stribeck curve giving the friction coefficient
$\mu$ as a function of the dimensionless relative sliding speed (the Sommerfeld
number, $S$) of two contacting non-conformal surfaces is usually considered
trivial, with $\mu \sim S$. We predict that for conformal surfaces contacting
over lar... | http://arxiv.org/abs/2306.17696v1 |
Deep generative models, which target reproducing the given data distribution
to produce novel samples, have made unprecedented advancements in recent years.
Their technical breakthroughs have enabled unparalleled quality in the
synthesis of visual content. However, one critical prerequisite for their
tremendous success... | http://arxiv.org/abs/2307.16879v1 |
In the era of Industrial IoT (IIoT) and Industry 4.0, ensuring secure data
transmission has become a critical concern. Among other data types, images are
widely transmitted and utilized across various IIoT applications, ranging from
sensor-generated visual data and real-time remote monitoring to quality control
in prod... | http://arxiv.org/abs/2309.11476v1 |
This paper proposes a method for extracting a lightweight subset from a
text-to-speech (TTS) corpus ensuring synthetic speech quality. In recent years,
methods have been proposed for constructing large-scale TTS corpora by
collecting diverse data from massive sources such as audiobooks and YouTube.
Although these metho... | http://arxiv.org/abs/2309.08127v1 |
Large language models (LLMs) have broad medical knowledge and can reason
about medical information across many domains, holding promising potential for
diverse medical applications in the near future. In this study, we demonstrate
a concerning vulnerability of LLMs in medicine. Through targeted manipulation
of just 1.1... | http://arxiv.org/abs/2309.17007v1 |
In this short piece, I delved into the connections of Nobel laureates by
applying Network Science methods to and public data collected from Wikipedia. I
uncovered the existence of a central "giant component" in the Nobel laureate
network, highlighting the core-periphery structure and the disparity in
visibility among l... | http://arxiv.org/abs/2309.15610v1 |
The abundance of social media data has presented opportunities for accurately
determining public and group-specific stances around policy proposals or
controversial topics. In contrast with sentiment analysis which focuses on
identifying prevailing emotions, stance detection identifies precise positions
(i.e., supporti... | http://arxiv.org/abs/2309.15176v2 |
The Cosserat solid is a theoretical model of a continuum whose elementary
constituents are notional rigid bodies. Here we present a formulation of the
mechanics of a Cosserat solid in the language of modern differential geometry
and exterior calculus, motivated by Schaefer's "motor field" theory. The solid
is modelled ... | http://arxiv.org/abs/2309.14268v1 |
This paper introduces a prognostic method called FLASH that addresses the
problem of joint modelling of longitudinal data and censored durations when a
large number of both longitudinal and time-independent features are available.
In the literature, standard joint models are either of the shared random effect
or joint ... | http://arxiv.org/abs/2309.03714v2 |
Classical Domain Adaptation methods acquire transferability by regularizing
the overall distributional discrepancies between features in the source domain
(labeled) and features in the target domain (unlabeled). They often do not
differentiate whether the domain differences come from the marginals or the
dependence str... | http://arxiv.org/abs/2305.19499v1 |
We prove that for hyperbolic fibered knots in any closed, connected, oriented
3-manifold the volume and genus are unrelated. As an application we answer a
question of Hirose, Kalfagianni, and Kin about volumes of mapping tori that are
double branched covers. | http://arxiv.org/abs/2308.16756v1 |
We perform a series of numerical simulations to recreate small-scale
two-fluid jets using the JOANNA code, considering the magnetohydrodynamics of
two fluids (ions + electrons and neutral particles). We first excite the jets
in a uniform magnetic field by using velocity pulse perturbations located at
$y_{0}=$1.3, 1.5, ... | http://arxiv.org/abs/2302.00147v1 |
This paper aims to investigate nonparametric estimation of the volatility
component in a heteroscedastic scalar-on-function regression model when the
underlying discrete-time process is ergodic and affected by a missing at random
mechanism. First, we introduce a simplified estimator of the regression and
volatility ope... | http://arxiv.org/abs/2310.00356v1 |
Learning dynamics from repeated observation of the time evolution of an open
quantum system, namely, the problem of quantum process tomography is an
important task. This task is difficult in general, but, with some additional
constraints could be tractable. This motivates us to look at the problem of
Lindblad operator ... | http://arxiv.org/abs/2309.12631v1 |
Hypersonic vehicles must withstand extreme conditions during flights that
exceed five times the speed of sound. These systems have the potential to
facilitate rapid access to space, bolster defense capabilities, and create a
new paradigm for transcontinental earth-to-earth travel. However, extreme
aerothermal environme... | http://arxiv.org/abs/2309.04053v2 |
Galaxies are expected to accrete pristine gas from their surroundings to
sustain their star formation over cosmic timescales. Its lower abundance
affects the metallicity of the ISM in which stars are born, leaving chemical
imprints in the stellar populations. We measure the amount of pristine gas that
galaxies accrete ... | http://arxiv.org/abs/2309.08669v1 |
The unexpected discovery of superconductivity and strong electron correlation
in twisted bilayer graphene (TBG), a system containing only sp electrons, is
considered as one of the most intriguing developments in two-dimensional
materials in recent years. The key feature is the emergent flat energy bands
near the Fermi ... | http://arxiv.org/abs/2309.10026v1 |
We consider the 3D incompressible Euler equations under the following three
scale hierarchical situation: large-scale vortex stretching the middle-scale,
and at the same time, the middle-scale stretching the small-scale. In this
situation, we show that, the stretching effect of this middle-scale flow is
weakened by the... | http://arxiv.org/abs/2309.06644v1 |
In today's globalized world, effective communication with people from diverse
linguistic backgrounds has become increasingly crucial. While traditional
methods of language translation, such as written text or voice-only
translations, can accomplish the task, they often fail to capture the complete
context and nuanced i... | http://arxiv.org/abs/2309.11338v1 |
Standard models of force balance along Jovian field lines predict the
location of the Io plasma torus to be the centrifugal equator of Jupiter's
magnetosphere, i.e. the position along the magnetic field lines farthest away
from Jupiter's rotational axis. In many models, the centrifugal equator is
assumed to lay on a pl... | http://arxiv.org/abs/2309.16331v1 |
We propose Neural Gradient Learning (NGL), a deep learning approach to learn
gradient vectors with consistent orientation from 3D point clouds for normal
estimation. It has excellent gradient approximation properties for the
underlying geometry of the data. We utilize a simple neural network to
parameterize the objecti... | http://arxiv.org/abs/2309.09211v1 |
Diffusion models are instrumental in text-to-audio (TTA) generation.
Unfortunately, they suffer from slow inference due to an excessive number of
queries to the underlying denoising network per generation. To address this
bottleneck, we introduce ConsistencyTTA, a framework requiring only a single
non-autoregressive ne... | http://arxiv.org/abs/2309.10740v3 |
In active galactic nuclei, the relationship between UV and X-ray luminosity
is well studied (often characterised by $\alpha_\text{ox}$) but often with
heterogeneous samples. We have parametrized the intrinsic distribution of X-ray
luminosity, $L_\text{X}$, for the optically-selected sample of SDSS quasars in
the Stripe... | http://arxiv.org/abs/2307.16845v2 |
While quantum multifractality has been widely studied in the physics
literature and is by now well understood from the point of view of physics,
there is little work on this subject in the mathematical literature. I will
report on a proof of multifractal scaling laws for arithmetic \u{S}eba
billiards. I will explain th... | http://arxiv.org/abs/2309.14526v1 |
Document-level information extraction (IE) is a crucial task in natural
language processing (NLP). This paper conducts a systematic review of recent
document-level IE literature. In addition, we conduct a thorough error analysis
with current state-of-the-art algorithms and identify their limitations as well
as the rema... | http://arxiv.org/abs/2309.13249v1 |
We study the approximability of computing the partition functions of
two-state spin systems. The problem is parameterized by a $2\times 2$ symmetric
matrix. Previous results on this problem were restricted either to the case
where the matrix has non-negative entries, or to the case where the diagonal
entries are equal,... | http://arxiv.org/abs/2309.04735v2 |
Given a closed, orientable surface $S$ of negative Euler characteristic, we
study two automorphism groups: $Aut(\mathscr{C})$ and $Aut(\mathcal{ML})$,
groups of homeomorphisms that preserve the intersection form in the space
$\mathscr{C}$ of geodesic currents and the space $\mathcal{ML}$ of measured
laminations. We pro... | http://arxiv.org/abs/2309.14532v2 |
Design of process control scheme is critical for quality assurance to reduce
variations in manufacturing systems. Taking semiconductor manufacturing as an
example, extensive literature focuses on control optimization based on certain
process models (usually linear models), which are obtained by experiments
before a man... | http://arxiv.org/abs/2309.09205v1 |
The ability to handle miscommunication is crucial to robust and faithful
conversational AI. People usually deal with miscommunication immediately as
they detect it, using highly systematic interactional mechanisms called repair.
One important type of repair is Third Position Repair (TPR) whereby a speaker
is initially ... | http://arxiv.org/abs/2307.16689v1 |
In a systematic literature and software review over 100 OWL reasoners/systems
were analyzed to see if they would still be usable in 2023. This has never been
done in this capacity. OWL reasoners still play an important role in knowledge
organisation and management, but the last comprehensive surveys/studies are
more th... | http://arxiv.org/abs/2309.06888v1 |
A vast majority of conventional augmented reality devices are equipped with
depth sensors. Depth images produced by such sensors contain complementary
information for object detection when used with color images. Despite the
benefits, it remains a complex task to simultaneously extract photometric and
depth features in... | http://arxiv.org/abs/2310.00342v1 |
In the U.S. inpatient payment system, the Diagnosis-Related Group (DRG) is
pivotal, but its assignment process is inefficient. The study introduces
DRG-LLaMA, an advanced large language model (LLM) fine-tuned on clinical notes
to enhance DRGs assignment. Utilizing LLaMA as the foundational model and
optimizing it throu... | http://arxiv.org/abs/2309.12625v2 |
Robust design is one of the main tools employed by engineers for the
facilitation of the design of high-quality processes. However, most real-world
processes invariably contend with external uncontrollable factors, often
denoted as outliers or contaminated data, which exert a substantial distorting
effect upon the comp... | http://arxiv.org/abs/2309.05359v1 |
Deep learning techniques have been proven to provide excellent performance
for a variety of high-energy physics applications, such as particle
identification, event reconstruction and trigger operations. Recently, we
developed an end-to-end deep learning approach to identify various particles
using low-level detector i... | http://arxiv.org/abs/2309.14254v1 |
We describe a novel three-finger robot hand that has high resolution tactile
sensing along the entire length of each finger. The fingers are compliant,
constructed with a soft shell supported with a flexible endoskeleton. Each
finger contains two cameras, allowing tactile data to be gathered along the
front and side su... | http://arxiv.org/abs/2303.17935v1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.