id stringlengths 16 29 | text stringlengths 86 3.49k | source stringlengths 14 112 |
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arxiv_dataset-166002205.15588 | QuanEstimation: An open-source toolkit for quantum parameter estimation
quant-ph hep-th physics.comp-ph
Quantum parameter estimation promises a high-precision measurement in theory,
however, how to design the optimal scheme in a specific scenario, especially
under a practical condition, is still a serious problem t... | arxiv topic:quant-ph hep-th physics.comp-ph |
arxiv_dataset-166012205.15688 | Self-Supervised Learning for Building Damage Assessment from Large-scale
xBD Satellite Imagery Benchmark Datasets
cs.CV cs.AI
In the field of post-disaster assessment, for timely and accurate rescue and
localization after a disaster, people need to know the location of damaged
buildings. In deep learning, some sc... | arxiv topic:cs.CV cs.AI |
arxiv_dataset-166022205.15788 | On the (crossed) Burnside ring of profinite groups
math.GR
In this paper we investigate some properties of the Burnside ring of a
profinite group as defined in \cite{ds}. We introduce the notion of the crossed
Burnside ring of a profinite FC-group, and generalise some results from finite
to profinite (FC-)groups. I... | arxiv topic:math.GR |
arxiv_dataset-166032205.15888 | Analyses of Hydrogen-stripped core-collapse supernovae using MOSFiT and
MESA based tools
astro-ph.HE
In this work, we employ two publicly available analysis tools to study four
hydrogen(H)--stripped core--collapse supernovae (CCSNe) namely, SN 2009jf,
iPTF13bvn, SN 2015ap, and SN 2016bau. We use the Modular Open-... | arxiv topic:astro-ph.HE |
arxiv_dataset-166042205.15988 | A deep learning approach to halo merger tree construction
astro-ph.GA astro-ph.CO cs.LG
A key ingredient for semi-analytic models (SAMs) of galaxy formation is the
mass assembly history of haloes, encoded in a tree structure. The most commonly
used method to construct halo merger histories is based on the outcomes ... | arxiv topic:astro-ph.GA astro-ph.CO cs.LG |
arxiv_dataset-166052206.0008 | Parallel Tempering With a Variational Reference
stat.CO
Sampling from complex target distributions is a challenging task fundamental
to Bayesian inference. Parallel tempering (PT) addresses this problem by
constructing a Markov chain on the expanded state space of a sequence of
distributions interpolating between t... | arxiv topic:stat.CO |
arxiv_dataset-166062206.0018 | Self-similarity with universal property for soap film and bubble in
roll-off stage
cond-mat.soft physics.flu-dyn
All children enjoy blowing soap bubbles that also show up in our bath and
when we wash dishes. We analyze the thinning and breaking of soap bubble neck
when it is stretched. To contrast with the more w... | arxiv topic:cond-mat.soft physics.flu-dyn |
arxiv_dataset-166072206.0028 | Automatic Bounding Box Annotation with Small Training Data Sets for
Industrial Manufacturing
cs.CV stat.ML
In the past few years, object detection has attracted a lot of attention in
the context of human-robot collaboration and Industry 5.0 due to enormous
quality improvements in deep learning technologies. In ma... | arxiv topic:cs.CV stat.ML |
arxiv_dataset-166082206.0038 | Strongly Augmented Contrastive Clustering
cs.LG cs.CV
Deep clustering has attracted increasing attention in recent years due to its
capability of joint representation learning and clustering via deep neural
networks. In its latest developments, the contrastive learning has emerged as
an effective technique to subst... | arxiv topic:cs.LG cs.CV |
arxiv_dataset-166092206.0048 | Sex and Gender in the Computer Graphics Research Literature
cs.GR cs.CY
We survey the treatment of sex and gender in the Computer Graphics research
literature from an algorithmic fairness perspective. The established practices
on the use of gender and sex in our community are scientifically incorrect and
constitute... | arxiv topic:cs.GR cs.CY |
arxiv_dataset-166102206.0058 | Dog nose print matching with dual global descriptor based on Contrastive
Learning
cs.CV
Recent studies in biometric-based identification tasks have shown that deep
learning methods can achieve better performance. These methods generally
extract the global features as descriptor to represent the original image.
No... | arxiv topic:cs.CV |
arxiv_dataset-166112206.0068 | Onset of particle acceleration during the prompt phase in gamma-ray
bursts as revealed by synchrotron emission in GRB160821A
astro-ph.HE
The physical processes of the gamma-ray emission and particle acceleration
during the prompt phase in GRBs are still unsettled. In order to perform an
unambiguous physical model... | arxiv topic:astro-ph.HE |
arxiv_dataset-166122206.0078 | The BRST Double Complex for the Coupling of Gravity to Gauge Theories
hep-th gr-qc math-ph math.MP
We consider (effective) Quantum General Relativity coupled to the Standard
Model (QGR-SM) and study the corresponding BRST double complex. This double
complex is generated by infinitesimal diffeomorphisms and infinite... | arxiv topic:hep-th gr-qc math-ph math.MP |
arxiv_dataset-166132206.0088 | Subconvexity of twisted Shintani zeta functions
math.NT
Previously the authors proved subconvexity of Shintani's zeta function
enumerating class numbers of binary cubic forms. Here we return to prove
subconvexity of the Maass form twisted version.
| arxiv topic:math.NT |
arxiv_dataset-166142206.0098 | Integral Laplacian graphs with a unique double Laplacian eigenvalue, I
math.CO
The set $S_{i,n}=\{0,1,2,\ldots,n-1,n\}\setminus\{i\}$, $1\leqslant
i\leqslant n$ is called Laplacian realizable if there exists an undirected
simple graph whose Laplacian spectrum is $S_{i,n}$. The existence of such
graphs was establish... | arxiv topic:math.CO |
arxiv_dataset-166152206.0108 | Longitudinal abnormalities in white matter extracellular free water
volume fraction and neuropsychological functioning in patients with traumatic
brain injury
q-bio.NC
Traumatic brain injury is a global public health problem associated with
chronic neurological complications and long-term disability. Biomarkers... | arxiv topic:q-bio.NC |
arxiv_dataset-166162206.0118 | Baumslag-Solitar graphs through colours
math.CT math.CO
Higher-rank graphs are, as the name suggests, higher-dimensional analogues of
directed graphs which we will define using category theory. The whole idea of
my project was to construct what we call a Baumslag-Solitar graph, a
higher-rank graph. They're too abst... | arxiv topic:math.CT math.CO |
arxiv_dataset-166172206.0128 | On the Parallel Parameterized Complexity of MaxSAT Variants
cs.CC cs.LO
In the maximum satisfiability problem (MAX-SAT) we are given a propositional
formula in conjunctive normal form and have to find an assignment that
satisfies as many clauses as possible. We study the parallel parameterized
complexity of various... | arxiv topic:cs.CC cs.LO |
arxiv_dataset-166182206.0138 | Search for supernova bursts in Super-Kamiokande IV
astro-ph.HE hep-ex
Super-Kamiokande has been searching for neutrino bursts characteristic of
core-collapse supernovae continuously, in real time, since the start of
operations in 1996. The present work focuses on detecting more distant
supernovae whose event rate m... | arxiv topic:astro-ph.HE hep-ex |
arxiv_dataset-166192206.0148 | Arbitrary pattern formation by opaque fat robots on infinite grid
cs.DC
Arbitrary Pattern formation ($\mathcal{APF}$) by a swarm of mobile robots is
a widely studied problem in the literature. Many works regarding
$\mathcal{APF}$ have been proposed on plane and infinite grid by point robots.
But in practical applic... | arxiv topic:cs.DC |
arxiv_dataset-166202206.0158 | GPU-Accelerated Approximate Kernel Method for Quantum Machine Learning
physics.chem-ph
Conventional kernel-based machine learning models for ab initio potential
energy surfaces, while accurate and convenient in small data regimes, suffer
immense computational cost as training set sizes increase. We introduce
QML-Li... | arxiv topic:physics.chem-ph |
arxiv_dataset-166212206.0168 | Structuring the local handedness of synthetic chiral light: global
chirality versus polarization of chirality
physics.optics
Synthetic chiral light enables ultrafast and highly efficient imaging of
molecular chirality. Unlike standard circularly polarized light, the handedness
of synthetic chiral light does not r... | arxiv topic:physics.optics |
arxiv_dataset-166222206.0178 | An asynchronous object-oriented approach to the automation of the
0.8-meter George Mason University campus telescope in Python
astro-ph.IM astro-ph.EP
We present a unique implementation of Python coding in an asynchronous
object-oriented programming (OOP) framework to fully automate the process of
collecting data... | arxiv topic:astro-ph.IM astro-ph.EP |
arxiv_dataset-166232206.0188 | Learning in Congestion Games with Bandit Feedback
cs.GT cs.LG cs.MA stat.ML
In this paper, we investigate Nash-regret minimization in congestion games, a
class of games with benign theoretical structure and broad real-world
applications. We first propose a centralized algorithm based on the optimism in
the face of ... | arxiv topic:cs.GT cs.LG cs.MA stat.ML |
arxiv_dataset-166242206.0198 | Modelling and Mining of Patient Pathways: A Scoping Review
cs.CY cs.AI cs.FL cs.IR cs.LG
The sequence of visits and procedures performed by the patient in the health
system, also known as the patient's pathway or trajectory, can reveal important
information about the clinical treatment adopted and the health servic... | arxiv topic:cs.CY cs.AI cs.FL cs.IR cs.LG |
arxiv_dataset-166252206.0208 | Stability and Spatial Autocorrelations of Suspensions of Microswimmers
with Heterogeneous Spin
cond-mat.soft physics.bio-ph
Hydrodynamical interactions of active micro-particles are pervasive in our
planet's fluid environments. Hence, understanding the interactions of these
self-propelled particles is essential f... | arxiv topic:cond-mat.soft physics.bio-ph |
arxiv_dataset-166262206.0218 | Semi-Supervised Learning for Mars Imagery Classification and
Segmentation
cs.CV
With the progress of Mars exploration, numerous Mars image data are collected
and need to be analyzed. However, due to the imbalance and distortion of
Martian data, the performance of existing computer vision models is
unsatisfactory.... | arxiv topic:cs.CV |
arxiv_dataset-166272206.0228 | Annotation Error Detection: Analyzing the Past and Present for a More
Coherent Future
cs.CL
Annotated data is an essential ingredient in natural language processing for
training and evaluating machine learning models. It is therefore very desirable
for the annotations to be of high quality. Recent work, however, ... | arxiv topic:cs.CL |
arxiv_dataset-166282206.0238 | Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL
cs.LG cs.AI
Model-based reinforcement learning promises to learn an optimal policy from
fewer interactions with the environment compared to model-free reinforcement
learning by learning an intermediate model of the environment in order to
predict f... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-166292206.0248 | Subspace Phase Retrieval
cs.IT math.IT math.ST stat.TH
In recent years, phase retrieval has received much attention in statistics,
applied mathematics and optical engineering. In this paper, we propose an
efficient algorithm, termed Subspace Phase Retrieval (SPR), which can
accurately recover an $n$-dimensional $k$... | arxiv topic:cs.IT math.IT math.ST stat.TH |
arxiv_dataset-166302206.0258 | Bulk evidence of anisotropic $s$-wave pairing with no sign change in the
kagome superconductor CsV$_3$Sb$_5$
cond-mat.supr-con cond-mat.str-el
The recently discovered kagome superconductors $A$V$_3$Sb$_5$ ($A$ = K, Rb,
Cs) possess a unique band structure with van Hove singularities and Dirac
dispersions, in which... | arxiv topic:cond-mat.supr-con cond-mat.str-el |
arxiv_dataset-166312206.0268 | Separable Self-attention for Mobile Vision Transformers
cs.CV cs.AI cs.LG
Mobile vision transformers (MobileViT) can achieve state-of-the-art
performance across several mobile vision tasks, including classification and
detection. Though these models have fewer parameters, they have high latency as
compared to convo... | arxiv topic:cs.CV cs.AI cs.LG |
arxiv_dataset-166322206.0278 | GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
cs.CV cs.GR cs.LG
We investigate the generalization capabilities of neural signed distance
functions (SDFs) for learning 3D object representations for unseen and
unlabeled point clouds. Existing methods can fit SDFs to a handful of object
classes... | arxiv topic:cs.CV cs.GR cs.LG |
arxiv_dataset-166332206.0288 | A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV
Framework with Safety and Stability Guarantees
eess.SY cs.SY
This paper presents a learning- and scenario-based model predictive control
(MPC) design approach for systems modeled in linear parameter-varying (LPV)
framework. Using input-output ... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-166342206.0298 | The Canfranc Axion Detection Experiment (CADEx): Search for axions at 90
GHz with Kinetic Inductance Detectors
hep-ex astro-ph.CO hep-ph physics.ins-det
We propose a novel experiment, the Canfranc Axion Detection Experiment
(CADEx), to probe dark matter axions with masses in the range 330-460 $\mu$eV,
within the ... | arxiv topic:hep-ex astro-ph.CO hep-ph physics.ins-det |
arxiv_dataset-166352206.0308 | Pancreatic Cancer ROSE Image Classification Based on Multiple Instance
Learning with Shuffle Instances
eess.IV
The rapid on-site evaluation (ROSE) technique can significantly ac-celerate
the diagnostic workflow of pancreatic cancer by immediately analyzing the
fast-stained cytopathological images with on-site pat... | arxiv topic:eess.IV |
arxiv_dataset-166362206.0318 | Revealing the embedded phase in single pixel quantum ghost imaging
quant-ph
We outline and experimentally demonstrate a method to image pure phase
objects using traditional quantum ghost imaging with single pixel detectors. We
provide a theoretical description of the process, showing how phase information
is embedd... | arxiv topic:quant-ph |
arxiv_dataset-166372206.0328 | Surface electromagnetic waves near a black hole event horizon and their
observational consequences
physics.gen-ph
Localization phenomena in light scattering from random fluctuations of matter
fields and spacetime metric near a black hole horizon were predicted to produce
a pronounced peak in the angular distribut... | arxiv topic:physics.gen-ph |
arxiv_dataset-166382206.0338 | Shape, Light, and Material Decomposition from Images using Monte Carlo
Rendering and Denoising
cs.GR cs.CV
Recent advances in differentiable rendering have enabled high-quality
reconstruction of 3D scenes from multi-view images. Most methods rely on simple
rendering algorithms: pre-filtered direct lighting or lea... | arxiv topic:cs.GR cs.CV |
arxiv_dataset-166392206.0348 | SHRED: 3D Shape Region Decomposition with Learned Local Operations
cs.CV cs.GR cs.LG
We present SHRED, a method for 3D SHape REgion Decomposition. SHRED takes a
3D point cloud as input and uses learned local operations to produce a
segmentation that approximates fine-grained part instances. We endow SHRED with
thre... | arxiv topic:cs.CV cs.GR cs.LG |
arxiv_dataset-166402206.0358 | IoT based SMEs shop management system
cs.HC
The Internet of Things (IoT) is an idea that intends to interface arranged
data frameworks to actual items. The Internet of Things (IoT) has applications
in pretty much every part of life in this day and age, and stock administration
is no special case. IoT gives an answe... | arxiv topic:cs.HC |
arxiv_dataset-166412206.0368 | Improving Evaluation of Debiasing in Image Classification
cs.CV
Image classifiers often rely overly on peripheral attributes that have a
strong correlation with the target class (i.e., dataset bias) when making
predictions. Due to the dataset bias, the model correctly classifies data
samples including bias attribut... | arxiv topic:cs.CV |
arxiv_dataset-166422206.0378 | Attestation Mechanisms for Trusted Execution Environments Demystified
cs.CR cs.DC
Attestation is a fundamental building block to establish trust over software
systems. When used in conjunction with trusted execution environments, it
guarantees the genuineness of the code executed against powerful attackers and
thre... | arxiv topic:cs.CR cs.DC |
arxiv_dataset-166432206.0388 | On the Eigenstructure of Rotations and Poses: Commonalities and
Peculiarities
cs.RO
Rotations and poses are ubiquitous throughout many fields of science and
engineering such as robotics, aerospace, computer vision and graphics. In this
paper, we provide a complete characterization of rotations and poses in terms
... | arxiv topic:cs.RO |
arxiv_dataset-166442206.0398 | Narrowing the allowed mass range of ultralight bosons with the S2 star
gr-qc astro-ph.GA
It is well known that N-body simulations of ultralight bosons show the
formation of a solitonic dark matter core in the innermost part of the halo.
The scale length of such a soliton depends on the inverse of the mass of the
bo... | arxiv topic:gr-qc astro-ph.GA |
arxiv_dataset-166452206.0408 | Phonon-limited resistivity of multilayer graphene systems
cond-mat.mes-hall cond-mat.mtrl-sci cond-mat.supr-con
We calculate the theoretical contribution to the doping and temperature ($T$)
dependence of electrical resistivity due to scattering by acoustic phonons in
Bernal bilayer graphene (BBG) and rhombohedral t... | arxiv topic:cond-mat.mes-hall cond-mat.mtrl-sci cond-mat.supr-con |
arxiv_dataset-166462206.0418 | Learning in Distributed Contextual Linear Bandits Without Sharing the
Context
cs.LG
Contextual linear bandits is a rich and theoretically important model that
has many practical applications. Recently, this setup gained a lot of interest
in applications over wireless where communication constraints can be a
perfo... | arxiv topic:cs.LG |
arxiv_dataset-166472206.0428 | CLASSY V: The impact of aperture effects on the inferred nebular
properties of local star-forming galaxies
astro-ph.GA
Strong nebular emission lines are an important diagnostic tool for tracing
the evolution of star-forming galaxies across cosmic time. However, different
observational setups can affect these line... | arxiv topic:astro-ph.GA |
arxiv_dataset-166482206.0438 | Hinted Dictionaries: Efficient Functional Ordered Sets and Maps
cs.PL cs.DS
This article introduces hinted dictionaries for expressing efficient ordered
sets and maps functionally. As opposed to the traditional ordered dictionaries
with logarithmic operations, hinted dictionaries can achieve better performance
by u... | arxiv topic:cs.PL cs.DS |
arxiv_dataset-166492206.0448 | Comparison Study of Inertial Sensor Signal Combination for Human
Activity Recognition based on Convolutional Neural Networks
cs.HC
Human Activity Recognition (HAR) is one of the essential building blocks of
so many applications like security, monitoring, the internet of things and
human-robot interaction. The res... | arxiv topic:cs.HC |
arxiv_dataset-166502206.0458 | Magellan/IMACS spectroscopy of Grus I: A low metallicity ultra-faint
dwarf galaxy
astro-ph.GA
We present a chemodynamical study of the Grus I ultra-faint dwarf galaxy
(UFD) from medium-resolution ($R\sim11,000$) Magellan/IMACS spectra of its
individual member stars. We identify eight confirmed members of Grus I, ... | arxiv topic:astro-ph.GA |
arxiv_dataset-166512206.0468 | Some Optimisation Problems in Insurance with a Terminal Distribution
Constraint
q-fin.MF math.PR q-fin.RM
In this paper, we study two optimisation settings for an insurance company,
under the constraint that the terminal surplus at a deterministic and finite
time $T$ follows a normal distribution with a given mea... | arxiv topic:q-fin.MF math.PR q-fin.RM |
arxiv_dataset-166522206.0478 | Speak Like a Dog: Human to Non-human creature Voice Conversion
cs.SD cs.AI cs.MM eess.AS
This paper proposes a new voice conversion (VC) task from human speech to
dog-like speech while preserving linguistic information as an example of human
to non-human creature voice conversion (H2NH-VC) tasks. Although most VC
s... | arxiv topic:cs.SD cs.AI cs.MM eess.AS |
arxiv_dataset-166532206.0488 | Equivariant $\mathbb R$-test configurations of polarized spherical
varieties
math.DG math.AG math.RT
Let $G$ be a connected, complex reductive Lie group and $G/H$ a spherical
homogenous space. Let $(X,L)$ be a polarized $G$-variety which is a spherical
embedding of $G/H$. In this paper we classify $G$-equivariant... | arxiv topic:math.DG math.AG math.RT |
arxiv_dataset-166542206.0498 | Unsupervised and Few-shot Parsing from Pretrained Language Models
cs.CL
Pretrained language models are generally acknowledged to be able to encode
syntax [Tenney et al., 2019, Jawahar et al., 2019, Hewitt and Manning, 2019].
In this article, we propose UPOA, an Unsupervised constituent Parsing model
that calculates... | arxiv topic:cs.CL |
arxiv_dataset-166552206.0508 | Extremal Fitting Problems for Conjunctive Queries
cs.DB
The fitting problem for conjunctive queries (CQs) is the problem to construct
a CQ that fits a given set of labeled data examples. When a fitting CQ exists,
it is in general not unique. This leads us to proposing natural refinements of
the notion of a fitting ... | arxiv topic:cs.DB |
arxiv_dataset-166562206.0518 | A Stochastic Approach to Maxwell Velocity Distribution via Central Limit
Theorem and Boltzmann's Entropy Formula
cond-mat.stat-mech
Maxwell's velocity distribution is known to be universally valid across
systems and phases. Here we present a new and general derivation that uses the
central limit theorem (CLT) of ... | arxiv topic:cond-mat.stat-mech |
arxiv_dataset-166572206.0528 | Anomalous transport regime in non-Hermitian, Anderson-localizing hybrid
systems
cond-mat.dis-nn physics.optics
In a disordered environment, the probability of transmission of a wave
reduces with increasing disorder, the ultimate limit of which is the near-zero
transmission due to Anderson localization. Under loca... | arxiv topic:cond-mat.dis-nn physics.optics |
arxiv_dataset-166582206.0538 | Learning Imbalanced Datasets with Maximum Margin Loss
cs.LG cs.AI
A learning algorithm referred to as Maximum Margin (MM) is proposed for
considering the class-imbalance data learning issue: the trained model tends to
predict the majority of classes rather than the minority ones. That is,
underfitting for minority ... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-166592206.0548 | CodeS: Towards Code Model Generalization Under Distribution Shift
cs.SE cs.AI
Distribution shift has been a longstanding challenge for the reliable
deployment of deep learning (DL) models due to unexpected accuracy degradation.
Although DL has been becoming a driving force for large-scale source code
analysis in th... | arxiv topic:cs.SE cs.AI |
arxiv_dataset-166602206.0558 | Mathematical models of topologically protected transport in twisted
bilayer graphene
math-ph math.AP math.MP
Twisted bilayer graphene gives rise to large moir\'{e} patterns that form a
triangular network upon mechanical relaxation. If gating is included, each
triangular region has gapped electronic Dirac points t... | arxiv topic:math-ph math.AP math.MP |
arxiv_dataset-166612206.0568 | Absence of spin susceptibility decrease in a bulk organic superconductor
with triangular lattice
cond-mat.supr-con
The study of non-s-wave unconventional superconductivities in strongly
correlated-electron systems has been a central issue in condensed matter
physics for more than 30 years. In such unconventional ... | arxiv topic:cond-mat.supr-con |
arxiv_dataset-166622206.0578 | The odd chromatic number of a toroidal graph is at most 9
math.CO
It's well known that every planar graph is $4$-colorable. A toroidal graph is
a graph that can be embedded on a torus. It's proved that every toroidal graph
is $7$-colorable. A proper coloring of a graph is called \emph{odd} if every
non-isolated ver... | arxiv topic:math.CO |
arxiv_dataset-166632206.0588 | Confident Sinkhorn Allocation for Pseudo-Labeling
cs.LG
Semi-supervised learning is a critical tool in reducing machine learning's
dependence on labeled data. It has been successfully applied to structured
data, such as images and natural language, by exploiting the inherent spatial
and semantic structure therein w... | arxiv topic:cs.LG |
arxiv_dataset-166642206.0598 | Correlation functions and ordering in a quasi-one dimensional system of
hard disks from the exact canonical partition function
cond-mat.dis-nn cond-mat.soft cond-mat.stat-mech
The analytical canonical NLT partition function of a quasi-one dimensional
(q1D) system of hard disks [J. Chem Phys. v.153, 144111 (2020)]... | arxiv topic:cond-mat.dis-nn cond-mat.soft cond-mat.stat-mech |
arxiv_dataset-166652206.0608 | Boundedness of Fractional Integrals on Hardy Spaces Associated with Ball
Quasi-Banach Function Spaces
math.CA math.AP math.FA
Let $X$ be a ball quasi-Banach function space on ${\mathbb R}^n$ and
$H_X({\mathbb R}^n)$ the Hardy space associated with $X$, and let
$\alpha\in(0,n)$ and $\beta\in(1,\infty)$. In this ar... | arxiv topic:math.CA math.AP math.FA |
arxiv_dataset-166662206.0618 | Exact solution for $SU(2)$-symmetry breaking bosonic mixtures at strong
interactions
cond-mat.quant-gas
We study the equilibrium properties of a one-dimensional mixture of two
Tonks-Girardeau gases on a ring geometry in the limit of strongly-repulsive
inter-species interactions. We derive the exact many-body wave... | arxiv topic:cond-mat.quant-gas |
arxiv_dataset-166672206.0628 | Next-to-Leading Order (NLO) Perturbative Effects in QCD Sum-Rule
Analyses of Light Tetraquark Systems: A Case Study in the Scalar-Isoscalar
Channel
hep-ph
QCD sum-rule mass predictions for tetraquark states provide insights on the
interpretations and internal structure of experimentally-observed exotic
mesons. ... | arxiv topic:hep-ph |
arxiv_dataset-166682206.0638 | BSM Targets at a "Target-less DUNE"
hep-ph astro-ph.CO hep-ex
In this work we demonstrate that a future accelerator-based neutrino
experiment such as DUNE can greatly increase its sensitivity to a variety of
new physics scenarios by operating in a mode where the proton beam impinges on
a beam dump. We consider two ... | arxiv topic:hep-ph astro-ph.CO hep-ex |
arxiv_dataset-166692206.0648 | Chameleon Screening in Cosmic Voids
gr-qc astro-ph.CO
A key goal in cosmology in the upcoming decade will be to form a better
understanding of the accelerated expansion of the Universe. Upcoming surveys,
such as the Vera C. Rubin Observatory's 10-year Legacy Survey of Space and Time
(LSST), Euclid and the Square Ki... | arxiv topic:gr-qc astro-ph.CO |
arxiv_dataset-166702206.0658 | Edge Universality of Sparse Random Matrices
math.PR math-ph math.CO math.MP
We consider the statistics of the extreme eigenvalues of sparse random
matrices, a class of random matrices that includes the normalized adjacency
matrices of the Erd{\H o}s-R{\'e}nyi graph $G(N,p)$. Recently, it was shown by
Lee, up to an ... | arxiv topic:math.PR math-ph math.CO math.MP |
arxiv_dataset-166712206.0668 | Exploring speaker enrolment for few-shot personalisation in emotional
vocalisation prediction
cs.SD cs.LG eess.AS
In this work, we explore a novel few-shot personalisation architecture for
emotional vocalisation prediction. The core contribution is an `enrolment'
encoder which utilises two unlabelled samples of t... | arxiv topic:cs.SD cs.LG eess.AS |
arxiv_dataset-166722206.0678 | Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR
Applications
cs.AR cs.AI
Low-Power Edge-AI capabilities are essential for on-device extended reality
(XR) applications to support the vision of Metaverse. In this work, we
investigate two representative XR workloads: (i) Hand detection and (ii) E... | arxiv topic:cs.AR cs.AI |
arxiv_dataset-166732206.0688 | Creating and Operating Areas With Reduced Electromagnetic Field Exposure
Thanks to Reconfigurable Intelligent Surfaces
eess.SP
Mobile network operators must provide a target quality of service within a
target coverage area. Each generation of networks from the 2nd to the 5th has
reached higher quality-of-service ... | arxiv topic:eess.SP |
arxiv_dataset-166742206.0698 | Survey on the State-of-the-Art in Device-to-Device Communication: A
Resource Allocation Perspective
cs.IT math.IT
Device to Device (D2D) communication takes advantage of the proximity between
the communicating devices in order to achieve efficient resource utilization,
improved throughput and energy efficiency, s... | arxiv topic:cs.IT math.IT |
arxiv_dataset-166752206.0708 | Measuring Inconsistency in Declarative Process Specifications
cs.AI
We address the problem of measuring inconsistency in declarative process
specifications, with an emphasis on linear temporal logic on fixed traces
(LTLff). As we will show, existing inconsistency measures for classical logic
cannot provide a meanin... | arxiv topic:cs.AI |
arxiv_dataset-166762206.0718 | Integrating deduction and model finding in a language independent
setting
cs.SE cs.LO
Software artifacts are ubiquitous in our lives being an essential part of
home appliances, cars, cel phones, and even in more critical activities like
aeronautics and health sciences. In this context software failures may produc... | arxiv topic:cs.SE cs.LO |
arxiv_dataset-166772206.0728 | ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance
Image Reconstructions
eess.IV cs.CV cs.NE
Magnetic resonance imaging (MRI) is one of the noninvasive imaging modalities
that can produce high-quality images. However, the scan procedure is relatively
slow, which causes patient discomfort and... | arxiv topic:eess.IV cs.CV cs.NE |
arxiv_dataset-166782206.0738 | Analysis of the hospital claims data from Germany (years 2013-2018) and
derivation of transfer matrices
stat.AP
Antibiotic resistant bacteria are a serious threat to public health system.
In order to be able to model the spread of this pathogens within healthcare
system network, it is necessary to obtain informat... | arxiv topic:stat.AP |
arxiv_dataset-166792206.0748 | X-ray observations of the isolated black hole candidate
OGLE-2011-BLG-0462 , and other collapsed objects discovered through
gravitational microlensing
astro-ph.HE
Isolated black holes and neutron stars can be revealed through the
observation of long duration gravitational microlensing events. A few
candidates h... | arxiv topic:astro-ph.HE |
arxiv_dataset-166802206.0758 | Evaluating object detector ensembles for improving the robustness of
artifact detection in endoscopic video streams
cs.CV
In this contribution we use an ensemble deep-learning method for combining
the prediction of two individual one-stage detectors (i.e., YOLOv4 and Yolact)
with the aim to detect artefacts in en... | arxiv topic:cs.CV |
arxiv_dataset-166812206.0768 | Learning Large-scale Subsurface Simulations with a Hybrid Graph Network
Simulator
cs.LG physics.geo-ph
Subsurface simulations use computational models to predict the flow of fluids
(e.g., oil, water, gas) through porous media. These simulations are pivotal in
industrial applications such as petroleum production, ... | arxiv topic:cs.LG physics.geo-ph |
arxiv_dataset-166822206.0778 | A machine learning approach to predicting pore pressure response in
liquefiable sands under cyclic loading
physics.geo-ph cs.LG
Shear stress history controls the pore pressure response in liquefiable
soils. The excess pore pressure does not increase under cyclic loading when
shear stress amplitude is lower than t... | arxiv topic:physics.geo-ph cs.LG |
arxiv_dataset-166832206.0788 | Gradient type estimates for linear elliptic systems from composite
materials
math.AP
In this paper, we consider linear elliptic systems from composite materials
where the coefficients depend on the shape and might have the discontinuity
between the subregions. We derive a function which is related to the gradient... | arxiv topic:math.AP |
arxiv_dataset-166842206.0798 | Research Topic Flows in Co-Authorship Networks
cs.SI cs.DL cs.IR cs.LG
In scientometrics, scientific collaboration is often analyzed by means of
co-authorships. An aspect which is often overlooked and more difficult to
quantify is the flow of expertise between authors from different research
topics, which is an imp... | arxiv topic:cs.SI cs.DL cs.IR cs.LG |
arxiv_dataset-166852206.0808 | A Machine Learning-based Digital Twin for Electric Vehicle Battery
Modeling
cs.LG cs.AI cs.NA cs.SY eess.SY math.NA
The widespread adoption of Electric Vehicles (EVs) is limited by their
reliance on batteries with presently low energy and power densities compared to
liquid fuels and are subject to aging and perfo... | arxiv topic:cs.LG cs.AI cs.NA cs.SY eess.SY math.NA |
arxiv_dataset-166862206.0818 | Lorentz Symmetry Violation of Cosmic Photons
astro-ph.HE gr-qc hep-ph
As a basic symmetry of space-time, Lorentz symmetry has played important
roles in various fields of physics, and it is a glamorous question whether
Lorentz symmetry breaks. Since Einstein proposed special relativity, Lorentz
symmetry has withstoo... | arxiv topic:astro-ph.HE gr-qc hep-ph |
arxiv_dataset-166872206.0828 | Measurement of the branching fraction of the $B^0 \to K_S^0 \pi^0
\gamma$ decay using 190 fb$^{-1}$ of Belle II data
hep-ex
We report the measurement of the branching fraction of the $B^0 \to K_S^0
\pi^0 \gamma$ decay in $e^+ e^- \to \Upsilon(4S) \to B \overline{B}$ data
recorded by the Belle II experiment at the... | arxiv topic:hep-ex |
arxiv_dataset-166882206.0838 | Non-resonant particle acceleration in strong turbulence: comparison to
kinetic and MHD simulations
astro-ph.HE physics.plasm-ph
Collisionless, magnetized turbulence offers a promising framework for the
generation of non-thermal high-energy particles in various astrophysical sites.
Yet, the detailed mechanism that... | arxiv topic:astro-ph.HE physics.plasm-ph |
arxiv_dataset-166892206.0848 | Polarization and variability of compact sources measured in Planck
time-ordered data
astro-ph.CO
This paper introduces a new Planck Catalog of Polarized and Variable Compact
Sources (PCCS-PV) comprising 153 sources, the majority of which are
extragalactic. The data include both the total flux density and linear
p... | arxiv topic:astro-ph.CO |
arxiv_dataset-166902206.0858 | Chromatic Polynomials of Signed Book Graphs
math.CO
For $m \geq 3$ and $n \geq 1$, the $m$-cycle book graph $B(m,n)$ consists of
$n$ copies of the cycle $C_m$ with one common edge. In this paper, we prove
that (a) the number of switching non-isomorphic signed $B(m,n)$ is $n+1$, and
(b) the chromatic number of a sig... | arxiv topic:math.CO |
arxiv_dataset-166912206.0868 | BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish
Text Using Transformers
cs.CL cs.LG
Code-Mixed text data consists of sentences having words or phrases from more
than one language. Most multi-lingual communities worldwide communicate using
multiple languages, with English usually one of the... | arxiv topic:cs.CL cs.LG |
arxiv_dataset-166922206.0878 | Spherical Sliced-Wasserstein
stat.ML cs.LG
Many variants of the Wasserstein distance have been introduced to reduce its
original computational burden. In particular the Sliced-Wasserstein distance
(SW), which leverages one-dimensional projections for which a closed-form
solution of the Wasserstein distance is avail... | arxiv topic:stat.ML cs.LG |
arxiv_dataset-166932206.0888 | Improving Generalization of Metric Learning via Listwise
Self-distillation
cs.CV cs.LG
Most deep metric learning (DML) methods employ a strategy that forces all
positive samples to be close in the embedding space while keeping them away
from negative ones. However, such a strategy ignores the internal relationshi... | arxiv topic:cs.CV cs.LG |
arxiv_dataset-166942206.0898 | Explainable Global Error Weighted on Feature Importance: The xGEWFI
metric to evaluate the error of data imputation and data augmentation
cs.LG
Evaluating the performance of an algorithm is crucial. Evaluating the
performance of data imputation and data augmentation can be similar since both
generated data can be... | arxiv topic:cs.LG |
arxiv_dataset-166952206.0908 | Prediction of the Optical Polarization and High Field Hyperfine
Structure Via a Parametrized Crystal-Field Model for the Low Symmetry Centers
in Er$^{3+}$ Doped Y$_{2}$SiO$_{5}$
cond-mat.mtrl-sci physics.atom-ph quant-ph
We report on the development and application of a parametrized crystal-field
model for both... | arxiv topic:cond-mat.mtrl-sci physics.atom-ph quant-ph |
arxiv_dataset-166962206.0918 | Snakes on Lieb lattice
nlin.PS
We consider the discrete Allen-Cahn equation with cubic and quintic
nonlinearity on the Lieb lattice. We study localized nonlinear solutions of the
system that have linear multistability and hysteresis in their bifurcation
diagram. In this work, we investigate the system's homoclinic ... | arxiv topic:nlin.PS |
arxiv_dataset-166972206.0928 | MetaGL: Evaluation-Free Selection of Graph Learning Models via
Meta-Learning
cs.LG cs.SI
Given a graph learning task, such as link prediction, on a new graph, how can
we select the best method as well as its hyperparameters (collectively called a
model) without having to train or evaluate any model on the new gra... | arxiv topic:cs.LG cs.SI |
arxiv_dataset-166982206.0938 | Supervision Adaptation Balancing In-distribution Generalization and
Out-of-distribution Detection
cs.LG
The discrepancy between in-distribution (ID) and out-of-distribution (OOD)
samples can lead to \textit{distributional vulnerability} in deep neural
networks, which can subsequently lead to high-confidence predi... | arxiv topic:cs.LG |
arxiv_dataset-166992206.0948 | Predicting Human Performance in Vertical Hierarchical Menu Selection in
Immersive AR Using Hand-gesture and Head-gaze
cs.HC cs.LG
There are currently limited guidelines on designing user interfaces (UI) for
immersive augmented reality (AR) applications. Designers must reflect on their
experience designing UI for ... | arxiv topic:cs.HC cs.LG |
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