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We study the quasiparticle properties of a dipolar impurity immersed in a
two-dimensional dipolar bath. We use the ab-initio Diffusion Monte Carlo
technique to determine the polaron energy, effective mass and quasiparticle
residue. We find that both the polaron energy and quasiparticle residue follow
a universal behavi... | http://arxiv.org/abs/2305.19846v3 |
Although convolutional neural networks (CNNs) have been proposed to remove
adverse weather conditions in single images using a single set of pre-trained
weights, they fail to restore weather videos due to the absence of temporal
information. Furthermore, existing methods for removing adverse weather
conditions (e.g., r... | http://arxiv.org/abs/2309.13700v1 |
An idealized, though simplistic, view of the referring expression production
and grounding process in (situated) dialogue assumes that a speaker must merely
appropriately specify their expression so that the target referent may be
successfully identified by the addressee. However, referring in conversation is
a collabo... | http://arxiv.org/abs/2309.05162v1 |
Sparse tensor algebra is a challenging class of workloads to accelerate due
to low arithmetic intensity and varying sparsity patterns. Prior sparse tensor
algebra accelerators have explored tiling sparse data to increase exploitable
data reuse and improve throughput, but typically allocate tile size in a given
buffer f... | http://arxiv.org/abs/2310.00192v2 |
With the increase in the number of antennas at base stations (BSs),
centralized multi-antenna architectures have encountered scalability problems
from excessive interconnection bandwidth to the central processing unit (CPU),
as well as increased processing complexity. Thus, research efforts have been
directed towards f... | http://arxiv.org/abs/2309.04297v1 |
In the domain of Natural Language Processing (NLP), Named Entity Recognition
(NER) stands out as a pivotal mechanism for extracting structured insights from
unstructured text. This manuscript offers an exhaustive exploration into the
evolving landscape of NER methodologies, blending foundational principles with
contemp... | http://arxiv.org/abs/2309.14084v1 |
In studies on lifetimes, occasionally, the population contains statistical
units that are born before the data collection has started. Left-truncated are
units that deceased before this start. For all other units, the age at the
study start often is recorded and we aim at testing whether this second
measurement is inde... | http://arxiv.org/abs/2305.19675v2 |
Head motion is an omnipresent confounder of magnetic resonance image (MRI)
analyses as it systematically affects morphometric measurements, even when
visual quality control is performed. In order to estimate subtle head motion,
that remains undetected by experts, we introduce a deep learning method to
predict in-scanne... | http://arxiv.org/abs/2302.14490v1 |
GeSn has emerged as a promising semiconductor with optoelectronic
functionality in the mid-infrared, with the potential of replacing expensive
III-V technology for monolithic on-chip Si photonics. Multiple challenges to
achieve optoelectronic-grade GeSn have been successfully solved in the last
decade. We stand today o... | http://arxiv.org/abs/2309.10584v2 |
An evolution equation for multiphoton states propagating through turbulence
is derived without making a Markovian approximation. The state is represented
as a Wigner functional to incorporate all spatiotemporal degrees of freedom.
The resulting non-Markovian evolution equation is used to argue that initial
Gaussian sta... | http://arxiv.org/abs/2309.11842v1 |
In this paper, we present a novel embedded feature selection method based on
a Multi-layer Perceptron (MLP) network and generalize it for group-feature or
sensor selection problems, which can control the level of redundancy among the
selected features or groups. Additionally, we have generalized the group lasso
penalty... | http://arxiv.org/abs/2310.20524v2 |
Evolutionary robot systems offer two principal advantages: an advanced way of
developing robots through evolutionary optimization and a special research
platform to conduct what-if experiments regarding questions about evolution.
Our study sits at the intersection of these. We investigate the question ``What
if the 18t... | http://arxiv.org/abs/2309.13099v1 |
Electromagnetic resonant systems, such as cavities or LC circuits, have
emerged as powerful detectors for probing ultralight boson dark matter and
high-frequency gravitational waves. However, the limited resonant bandwidth of
conventional single-mode resonators, imposed by quantum fluctuations,
necessitates numerous sc... | http://arxiv.org/abs/2309.12387v1 |
We have measured structural parameters and radial color profiles of 108
ultra-diffuse galaxies (UDGs), carefully selected from six distant massive
galaxy clusters in the Hubble Frontier Fields (HFF) in redshift range from
0.308 to 0.545. Our best-fitting GALFIT models show that the HFF UDGs have a
median S\'ersic index... | http://arxiv.org/abs/2310.20530v1 |
Efficient training of large-scale graph neural networks (GNNs) has been
studied with a specific focus on reducing their memory consumption. Work by Liu
et al. (2022) proposed extreme activation compression (EXACT) which
demonstrated drastic reduction in memory consumption by performing quantization
of the intermediate ... | http://arxiv.org/abs/2309.11856v2 |
We study the category $\mathcal{F}(\mathfrak{S}_S,\mathcal{V})$ of functors
from the category $\mathfrak{S}_S$, which is the category of elements of some
presheaf $S$ on the category $\mathcal{V}^f$ of finite dimensional vector
spaces, to $\mathcal{V}$ the category of vector spaces of any dimension on some
field $\math... | http://arxiv.org/abs/2310.00186v2 |
For typical quantum subroutines in the gate-based model of quantum computing,
explicit decompositions of circuits in terms of single-qubit and two-qubit
entangling gates may exist. However, they often lead to large-depth circuits
that are challenging for noisy intermediate-scale quantum (NISQ) hardware.
Additionally, e... | http://arxiv.org/abs/2309.09957v1 |
In this work, we explore the use of Large Language Models (LLMs) for
knowledge engineering tasks in the context of the ISWC 2023 LM-KBC Challenge.
For this task, given subject and relation pairs sourced from Wikidata, we
utilize pre-trained LLMs to produce the relevant objects in string format and
link them to their re... | http://arxiv.org/abs/2309.08491v1 |
Large discrete action spaces (LDAS) remain a central challenge in
reinforcement learning. Existing solution approaches can handle unstructured
LDAS with up to a few million actions. However, many real-world applications in
logistics, production, and transportation systems have combinatorial action
spaces, whose size gr... | http://arxiv.org/abs/2305.19891v4 |
Very recently, several pulsar timing array collaborations, including CPTA,
EPTA, and NANOGrav, reported their results from searches for an isotropic
stochastic gravitational wave background (SGWB), with each finding positive
evidence for SGWB. In this work, we assessed the credibility of interpreting
the Hellings-Downs... | http://arxiv.org/abs/2307.02376v1 |
The success of neural networks builds to a large extent on their ability to
create internal knowledge representations from real-world high-dimensional
data, such as images, sound, or text. Approaches to extract and present these
representations, in order to explain the neural network's decisions, is an
active and multi... | http://arxiv.org/abs/2301.00189v1 |
This is a Reply to the Comment by Vaidman in arXiv:2306.16756 on the paper:
R. B. Griffiths, Phys. Rev. A 107, 062219 (2023) | http://arxiv.org/abs/2310.05968v2 |
This article is devoted the semiclassical spectral analysis of the Neumann
magnetic Laplacian on a smooth bounded domain in three dimensions. Under a
generic assumption on the variable magnetic field (involving a localization of
the eigenfunctions near the boundary), we establish a semiclassical expansion
of the lowest... | http://arxiv.org/abs/2306.17446v1 |
We investigate the time evolution of spherically symmetric boson stars in
Palatini $f(\mathcal{R})$ gravity through Numerical Relativity computations.
Employing a novel approach that establishes a correspondence between modified
gravity with scalar matter and General Relativity with modified scalar matter,
we are able ... | http://arxiv.org/abs/2309.14912v1 |
Geometric frustration of magnetic ions can lead to a quantum spin liquid
ground state where long range magnetic order is avoided despite strong exchange
interactions. The physical realization of quantum spin liquids comprises a
major unresolved area of contemporary materials science. One prominent
magnetically-frustrat... | http://arxiv.org/abs/2303.00082v1 |
Analyzing large-scale graphs poses challenges due to their increasing size
and the demand for interactive and user-friendly analytics tools. These graphs
arise from various domains, including cybersecurity, social sciences, health
sciences, and network sciences, where networks can represent interactions
between humans,... | http://arxiv.org/abs/2309.09943v1 |
Advanced Persistent Threat (APT) attacks are highly sophisticated and employ
a multitude of advanced methods and techniques to target organizations and
steal sensitive and confidential information. APT attacks consist of multiple
stages and have a defined strategy, utilizing new and innovative techniques and
technologi... | http://arxiv.org/abs/2309.08485v1 |
After the pandemic, artificial intelligence (AI) powered support for mental
health care has become increasingly important. The breadth and complexity of
significant challenges required to provide adequate care involve: (a)
Personalized patient understanding, (b) Safety-constrained and medically
validated chatbot patien... | http://arxiv.org/abs/2304.00025v1 |
This article foucuses on $(P_3\cup P_2,K_4)$-free graph. In this paper, we
prove that if G is $(P_3\cup P_2,K_4)$-free, then $\chi(G)\le 7$. We then use
our result to obtain the upper bound of order and chromatic number of
$(4K_1,\overline{P_3\cup P_2},K_{\omega})$-free graph . | http://arxiv.org/abs/2309.05199v3 |
The problem of coordinated data collection is studied for a mobile
crowdsensing (MCS) system. A mobile crowdsensing platform (MCSP) sequentially
publishes sensing tasks to the available mobile units (MUs) that signal their
willingness to participate in a task by sending sensing offers back to the
MCSP. From the receive... | http://arxiv.org/abs/2309.10594v1 |
We study the high-energy limit of projectable Ho\v rava gravity using
on-shell graviton scattering amplitudes. We compute the tree-level amplitudes
using symbolic computer algebra and analyze their properties in the case of
collisions with zero total momentum. The amplitudes grow with collision energy
in the way consis... | http://arxiv.org/abs/2306.00102v1 |
We explore a knowledge sanitization approach to mitigate the privacy concerns
associated with large language models (LLMs). LLMs trained on a large corpus of
Web data can memorize and potentially reveal sensitive or confidential
information, raising critical security concerns. Our technique efficiently
fine-tunes these... | http://arxiv.org/abs/2309.11852v2 |
We study cosmological perturbations in a universe with only one matter
component described by a triplet of fields. Configuration of these fields is
the same as for body coordinates of a solid, and they enter the matter
Lagrangian only through the kinetic term. We restrict ourselves only to cases
with constant pressure ... | http://arxiv.org/abs/2302.14480v2 |
Pseudo-cones are a class of unbounded closed convex sets, not containing the
origin. They admit a kind of polarity, called copolarity. With this, they can
be considered as a counterpart to convex bodies containing the origin in the
interior. The purpose of the following is to study this analogy in greater
detail. We su... | http://arxiv.org/abs/2305.00452v3 |
We assess the modification of angular momentum transport in various
configurations of star-disk accreting systems based on numerical simulations
with different parameters. We quantify the torques exerted on a star by the
various components of the flow in our simulations of a star-disk magnetospheric
interaction. We obt... | http://arxiv.org/abs/2309.12383v1 |
We present a version of the matrix-tree theorem, which relates the
determinant of a matrix to sums of weights of arborescences of its directed
graph representation. Our treatment allows for non-zero column sums in the
parent matrix by adding a root vertex to the usually considered matrix directed
graph. We use our resu... | http://arxiv.org/abs/2309.05827v2 |
We report on an effort that led to POLAR3D, a set of digital assets that
enhance the POLAR dataset of stereo images generated by NASA to mimic lunar
lighting conditions. Our contributions are twofold. First, we have annotated
each photo in the POLAR dataset, providing approximately 23 000 labels for
rocks and their sha... | http://arxiv.org/abs/2309.12397v1 |
In this paper we express the Minkowski dimension of spiral trajectories near
hyperbolic saddles and semi-hyperbolic singularities in terms of the Minkowski
dimension of intersections of such spirals with transversals near these
singularities. We apply these results to hyperbolic saddle-loops and hyperbolic
$2$-cycles t... | http://arxiv.org/abs/2306.00116v1 |
Information engines model ``Maxwell's demon" mechanistically. However, the
demon's strategy is pre-described by an external experimenter, and information
engines are conveniently designed such that observables contain complete
information about variables pertinent to work extraction. In real world
scenarios, it is more... | http://arxiv.org/abs/2309.10580v2 |
Text classification is an important task in Natural Language Processing
(NLP), where the goal is to categorize text data into predefined classes. In
this study, we analyse the dataset creation steps and evaluation techniques of
multi-label news categorisation task as part of text classification. We first
present a newl... | http://arxiv.org/abs/2302.14494v1 |
The quantization of neural networks for the mitigation of the nonlinear and
components' distortions in dual-polarization optical fiber transmission is
studied. Two low-complexity neural network equalizers are applied in three
16-QAM 34.4 GBaud transmission experiments with different representative
fibers. A number of p... | http://arxiv.org/abs/2310.05950v1 |
We present a learning based framework for mesh quality improvement on
unstructured triangular and quadrilateral meshes. Our model learns to improve
mesh quality according to a prescribed objective function purely via self-play
reinforcement learning with no prior heuristics. The actions performed on the
mesh are standa... | http://arxiv.org/abs/2309.06484v1 |
We extend previous results due to Ding and Zhuang in order to prove that a
phase transition occurs for the long range Ising model in lower dimensions. By
making use of a recent argument due to Affonso, Bissacot and Maia from 2022
which establishes that a phase transition occurs for the long range,
random-field Ising mo... | http://arxiv.org/abs/2309.07942v2 |
Spurious correlations are everywhere. While humans often do not perceive
them, neural networks are notorious for learning unwanted associations, also
known as biases, instead of the underlying decision rule. As a result,
practitioners are often unaware of the biased decision-making of their
classifiers. Such a biased m... | http://arxiv.org/abs/2305.19671v1 |
Automatic detection of voice pathology enables objective assessment and
earlier intervention for the diagnosis. This study provides a systematic
analysis of glottal source features and investigates their effectiveness in
voice pathology detection. Glottal source features are extracted using glottal
flows estimated with... | http://arxiv.org/abs/2309.14080v2 |
Sign language recognition and translation technologies have the potential to
increase access and inclusion of deaf signing communities, but research
progress is bottlenecked by a lack of representative data. We introduce a new
resource for American Sign Language (ASL) modeling, the Sem-Lex Benchmark. The
Benchmark is t... | http://arxiv.org/abs/2310.00196v1 |
In this paper, we propose localized versions of Weisfeiler-Leman (WL)
algorithms in an effort to both increase the expressivity, as well as decrease
the computational overhead. We focus on the specific problem of subgraph
counting and give localized versions of $k-$WL for any $k$. We analyze the
power of Local $k-$WL a... | http://arxiv.org/abs/2305.19659v3 |
Automated segmentation of the blood vessels in 3D volumes is an essential
step for the quantitative diagnosis and treatment of many vascular diseases. 3D
vessel segmentation is being actively investigated in existing works, mostly in
deep learning approaches. However, training 3D deep networks requires large
amounts of... | http://arxiv.org/abs/2309.08481v1 |
To apply transformer-based models to point cloud understanding, many previous
works modify the architecture of transformers by using, e.g., local attention
and down-sampling. Although they have achieved promising results, earlier works
on transformers for point clouds have two issues. First, the power of plain
transfor... | http://arxiv.org/abs/2303.00086v3 |
Algorithmic fairness has gained prominence due to societal and regulatory
concerns about biases in Machine Learning models. Common group fairness metrics
like Equalized Odds for classification or Demographic Parity for both
classification and regression are widely used and a host of computationally
advantageous post-pr... | http://arxiv.org/abs/2310.20508v1 |
Current self-training methods such as standard self-training, co-training,
tri-training, and others often focus on improving model performance on a single
task, utilizing differences in input features, model architectures, and
training processes. However, many tasks in natural language processing are
about different bu... | http://arxiv.org/abs/2301.13683v1 |
We prove a spectral inequality for the Landau operator. This means that for
all $f$ in the spectral subspace corresponding to energies up to $E$, the
$L^2$-integral over suitable $S \subset \mathbb{R}^2$ can be lower bounded by
an explicit constant times the $L^2$-norm of $f$ itself. We identify the class
of all measur... | http://arxiv.org/abs/2309.14902v1 |
Typically, metadata of images are stored in a specific data segment of the
image file. However, to securely detect changes, data can also be embedded
within images. This follows the goal to invisibly and robustly embed as much
information as possible to, ideally, even survive compression.
This work searches for embed... | http://arxiv.org/abs/2303.00092v1 |
Stowing, the task of placing objects in cluttered shelves or bins, is a
common task in warehouse and manufacturing operations. However, this task is
still predominantly carried out by human workers as stowing is challenging to
automate due to the complex multi-object interactions and long-horizon nature
of the task. Pr... | http://arxiv.org/abs/2309.16873v2 |
The advent of edge devices dedicated to machine learning tasks enabled the
execution of AI-based applications that efficiently process and classify the
data acquired by the resource-constrained devices populating the Internet of
Things. The proliferation of such applications (e.g., critical monitoring in
smart cities) ... | http://arxiv.org/abs/2309.00022v1 |
This research explores using lightweight deep neural network architectures to
enable the humanoid robot Pepper to understand American Sign Language (ASL) and
facilitate non-verbal human-robot interaction. First, we introduce a
lightweight and efficient model for ASL understanding optimized for embedded
systems, ensurin... | http://arxiv.org/abs/2309.16898v1 |
Machine-learning-based parameterizations (i.e. representation of sub-grid
processes) of global climate models or turbulent simulations have recently been
proposed as a powerful alternative to physical, but empirical, representations,
offering a lower computational cost and higher accuracy. Yet, those approaches
still s... | http://arxiv.org/abs/2309.10231v1 |
Numerical optimization for the inverse design of photonic structures is a
tool which is providing increasingly convincing results -- even though the wave
nature of problems in photonics makes them particularly complex. In the
meantime, the field of global optimization is rapidly evolving but is prone to
reproducibility... | http://arxiv.org/abs/2309.09760v3 |
Large Language Models (LLMs) have demonstrated impressive zero shot
performance on a wide range of NLP tasks, demonstrating the ability to reason
and apply commonsense. A relevant application is to use them for creating high
quality synthetic datasets for downstream tasks. In this work, we probe whether
GPT-4 can be us... | http://arxiv.org/abs/2309.12426v2 |
Artificial neural networks have revolutionized machine learning in recent
years, but a complete theoretical framework for their learning process is still
lacking. Substantial progress has been made for infinitely wide networks. In
this regime, two disparate theoretical frameworks have been used, in which the
network's ... | http://arxiv.org/abs/2309.04522v1 |
The spin-orbit interaction (SOI) of light generated by tight focusing in
optical tweezers has been regularly employed in generating angular momentum -
both spin and orbital - in trapped mesoscopic particles. Specifically, the
transverse spin angular momentum (TSAM), which arises due to the longitudinal
component of the... | http://arxiv.org/abs/2302.14443v1 |
Event cameras, also known as neuromorphic cameras, are an emerging technology
that offer advantages over traditional shutter and frame-based cameras,
including high temporal resolution, low power consumption, and selective data
acquisition. In this study, we propose to harnesses the capabilities of
event-based cameras ... | http://arxiv.org/abs/2309.11891v1 |
We prove that every element of the special linear group can be represented as
the product of at most six block unitriangular matrices, and that there exist
matrices for which six products are necessary, independent of indexing. We
present an analogous result for the general linear group. These results serve
as general ... | http://arxiv.org/abs/2305.00485v2 |
In this paper, we present new axisymmetric and reflection symmetric vacuum
solutions to the Einstein field equations. They are obtained using the Hankel
integral transform method and all three solutions exhibit naked singularities.
Our results further reinforce the importance and special character of
axisymmetric solut... | http://arxiv.org/abs/2309.10543v1 |
The magnetorotational instability (MRI) has been proposed as the method of
angular momentum transport that enables accretion in astrophysical discs.
However, for weakly-ionized discs, such as protoplanetary discs, it remains
unclear whether the combined non-ideal magnetohydrodynamic (MHD) effects of
Ohmic resistivity, ... | http://arxiv.org/abs/2309.03259v1 |
We construct initial configurations for the scattering between kinks with
long-range tails. For this purpose, we exploit kink solutions in the presence
of Bogomol'nyi-Prasad-Sommerfield (BPS)-preserving impurities. This approach
offers a highly efficient method and effortless implementation with a
negligible computatio... | http://arxiv.org/abs/2309.05628v2 |
V1298 Tau is a young pre-main sequence star hosting four known exoplanets
that are prime targets for transmission spectroscopy with current-generation
instruments. This work pieces together observations from the NICER X-ray
telescope, the Space Telescope Imaging Spectrograph and Cosmic Origins
Spectrograph instruments ... | http://arxiv.org/abs/2310.00155v1 |
Working with trapped atoms at close distance to each other, we show that one
can implement entangling gates based on non-independent qubits using a single
pulse per qubit, or a single structured pulse. The optimal parameters depend on
approximate solutions of Diophantine equations, causing the fidelity to never
be exac... | http://arxiv.org/abs/2309.12432v2 |
The Rosenzweig-Porter model is a single-parameter random matrix ensemble that
supports an ergodic, fractal, and localized phase. The names of these phases
refer to the properties of the (midspectrum) eigenstates. This work focuses on
the long-range spectral statistics of the recently introduced unitary
equivalent of th... | http://arxiv.org/abs/2309.14043v2 |
This letter studies the problem of cooperative nearest-neighbor control of
multi-agent systems where each agent can only realize a finite set of control
points. Under the assumption that the underlying graph representing the
communication network between agents is connected and the interior of the
convex hull of all fi... | http://arxiv.org/abs/2305.20033v1 |
In this paper, we present algorithms to identify environmental hotspots using
mobile sensors. We examine two approaches: one involving a single robot and
another using multiple robots coordinated through a decentralized robot system.
We introduce an adaptive algorithm that does not require precise knowledge of
Gaussian... | http://arxiv.org/abs/2309.07981v1 |
Photoplethysmography (PPG) is a cost-effective and non-invasive technique
that utilizes optical methods to measure cardiac physiology. PPG has become
increasingly popular in health monitoring and is used in various commercial and
clinical wearable devices. Compared to electrocardiography (ECG), PPG does not
provide sub... | http://arxiv.org/abs/2309.15375v4 |
We propose a quantum Monte Carlo algorithm capable of simulating the
Bose-Hubbard model on arbitrary graphs, obviating the need for devising
lattice-specific updates for different input graphs. We show that with our
method, which is based on the recently introduced Permutation Matrix
Representation Quantum Monte Carlo ... | http://arxiv.org/abs/2309.05166v2 |
Facial biometrics are widely deployed in smartphone-based applications
because of their usability and increased verification accuracy in unconstrained
scenarios. The evolving applications of smartphone-based facial recognition
have also increased Presentation Attacks (PAs), where an attacker can present a
Presentation ... | http://arxiv.org/abs/2309.13704v1 |
The Kemeny method is one of the popular tools for rank aggregation. However,
computing an optimal Kemeny ranking is NP-hard. Consequently, the computational
task of finding a Kemeny ranking has been studied under the lens of
parameterized complexity with respect to many parameters. We first present a
comprehensive rela... | http://arxiv.org/abs/2309.03517v1 |
Recently, it has been exposed that some modern facial recognition systems
could discriminate specific demographic groups and may lead to unfair attention
with respect to various facial attributes such as gender and origin. The main
reason are the biases inside datasets, unbalanced demographics, used to train
theses mod... | http://arxiv.org/abs/2309.08442v1 |
A causal relation between quantum agents, say Alice and Bob, is necessarily
mediated by an interaction. Modelling the last one as a reversible quantum
channel, an intervention of Alice can have causal influence on Bob's system,
modifying correlations between Alice and Bob's systems. Causal influence
between quantum sys... | http://arxiv.org/abs/2309.07771v2 |
We survey recent applications of topology and singularity theory in the study
of the algebraic complexity of concrete optimization problems in applied
algebraic geometry and algebraic statistics. | http://arxiv.org/abs/2305.19842v1 |
We introduce FIK, a natural intuitionistic modal logic specified by Kripke
models satisfying the condition of forward confluence. We give a complete
Hilbert-style axiomatization of this logic and propose a bi-nested calculus for
it. The calculus provides a decision procedure as well as a countermodel
extraction: from a... | http://arxiv.org/abs/2309.06309v1 |
The use of $d$-level qudits instead of two-level qubits can largely increase
the power of quantum logic for many applications, ranging from quantum
simulations to quantum error correction. Molecular Nanomagnets are ideal spin
systems to realize these large-dimensional qudits. Indeed, their Hamiltonian
can be engineered... | http://arxiv.org/abs/2309.05600v1 |
The quantum key distribution for multiparty is one of the essential subjects
of study. Especially, without using entangled states, performing the quantum
key distribution for multiparty is a critical area of research. For this
purpose, sequential discrimination, which provides multiparty quantum
communication and quant... | http://arxiv.org/abs/2309.14719v1 |
The SPT-3G 2018 TT/TE/EE cosmic microwave background (CMB) data set
(temperature and polarization) is used to place constraints on an axion-like
model of early dark energy (EDE). These data do not favor axion-like EDE and
place an upper limit on the maximum fraction of the total energy density
$f_{\rm EDE}< 0.172$ (at ... | http://arxiv.org/abs/2309.03265v1 |
Herein we present a novel approach of identifying community structures in
complex networks. We propose the usage of the Random Walk Centrality (RWC),
first introduced by Noh and Rieger [Phys. Rev. Lett. 92.11 (2004): 118701]. We
adapt this node centrality metric to an edge centrality metric by applying it
to the line g... | http://arxiv.org/abs/2309.05614v1 |
We study neural image compression based on the Sparse Visual Representation
(SVR), where images are embedded into a discrete latent space spanned by
learned visual codebooks. By sharing codebooks with the decoder, the encoder
transfers integer codeword indices that are efficient and cross-platform
robust, and the decod... | http://arxiv.org/abs/2309.11661v1 |
We propose a novel method to find local plane-wave solutions of the
linearized equations of motion of relativistic hydrodynamics in inhomogeneous
equilibrium configurations, i.e., when a fluid in equilibrium is rigidly moving
with nonzero thermal vorticity. Our method is based on extending the conserved
currents to the... | http://arxiv.org/abs/2309.07003v2 |
We show by extensive simulations that the whole supercritical phase of the
three-dimensional uniform forest model simultaneously exhibits an infinite tree
and a rich variety of critical phenomena. Besides typical scalings like
algebraically decaying correlation, power-law distribution of cluster sizes,
and divergent co... | http://arxiv.org/abs/2309.17210v3 |
For classic systems, the thermodynamic uncertainty relation (TUR) states that
the fluctuations of a current have a lower bound in terms of the entropy
production. Some TURs are rooted in information theory, particularly derived
from relations between observations (mean and variance) and dissimilarities,
such as the Kul... | http://arxiv.org/abs/2309.09990v2 |
The success of existing multi-view clustering (MVC) relies on the assumption
that all views are complete. However, samples are usually partially available
due to data corruption or sensor malfunction, which raises the research of
incomplete multi-view clustering (IMVC). Although several anchor-based IMVC
methods have b... | http://arxiv.org/abs/2308.16541v1 |
Recent advances in generative imagery have brought forth outpainting and
inpainting models that can produce high-quality, plausible image content in
unknown regions. However, the content these models hallucinate is necessarily
inauthentic, since they are unaware of the true scene. In this work, we propose
RealFill, a n... | http://arxiv.org/abs/2309.16668v2 |
Using a minimal continuum model, we investigate the interplay between
circular confinement and substrate friction in active nematics. Upon increasing
the friction from low to high, we observe a dynamical phase transition from a
circulating flow phase to an anisotropic flow phase in which the flow tends to
align perpend... | http://arxiv.org/abs/2303.00051v3 |
In previous works, the universal mapping class group was taken to be the
group PPSL(2,Z) of all piecewise PSL(2,Z) homeomorphisms of the unit circle S^1
with finitely many breakpoints among the rational points, and in fact, the
Thompson group T is isomorphic to PPSL(2,Z). The new spin mapping class group
P(SL(2,Z)) is ... | http://arxiv.org/abs/2309.13710v3 |
Artwork recommendation is challenging because it requires understanding how
users interact with highly subjective content, the complexity of the concepts
embedded within the artwork, and the emotional and cognitive reflections they
may trigger in users. In this paper, we focus on efficiently capturing the
elements (i.e... | http://arxiv.org/abs/2303.08182v1 |
Realistic reservoir simulation is known to be prohibitively expensive in
terms of computation time when increasing the accuracy of the simulation or by
enlarging the model grid size. One method to address this issue is to
parallelize the computation by dividing the model in several partitions and
using multiple CPUs to... | http://arxiv.org/abs/2309.11488v1 |
This paper presents the computational challenge on topological deep learning
that was hosted within the ICML 2023 Workshop on Topology and Geometry in
Machine Learning. The competition asked participants to provide open-source
implementations of topological neural networks from the literature by
contributing to the pyt... | http://arxiv.org/abs/2309.15188v4 |
The response of metals and their microstructures under extreme dynamic
conditions can be markedly different from that under quasistatic conditions.
Traditionally, high strain rates and shock stresses are measured using
cumbersome and expensive methods such as the Kolsky bar or large spall
experiments. These methods are... | http://arxiv.org/abs/2309.14296v1 |
An audiobook can dramatically improve a work of literature's accessibility
and improve reader engagement. However, audiobooks can take hundreds of hours
of human effort to create, edit, and publish. In this work, we present a system
that can automatically generate high-quality audiobooks from online e-books. In
particu... | http://arxiv.org/abs/2309.03926v1 |
Recent advancements in diffusion models have significantly impacted the
trajectory of generative machine learning research, with many adopting the
strategy of fine-tuning pre-trained models using domain-specific text-to-image
datasets. Notably, this method has been readily employed for medical
applications, such as X-r... | http://arxiv.org/abs/2303.17908v2 |
We introduce a theoretical framework for sampling from unnormalized densities
based on a smoothing scheme that uses an isotropic Gaussian kernel with a
single fixed noise scale. We prove one can decompose sampling from a density
(minimal assumptions made on the density) into a sequence of sampling from
log-concave cond... | http://arxiv.org/abs/2305.19473v2 |
Understanding when two pieces of text convey the same information is a goal
touching many subproblems in NLP, including textual entailment and
fact-checking. This problem becomes more complex when those two pieces of text
are in different languages. Here, we introduce X-PARADE (Cross-lingual
Paragraph-level Analysis of... | http://arxiv.org/abs/2309.08873v2 |
Searching for available parking spots in high-density urban centers is a
stressful task for drivers that can be mitigated by systems that know in
advance the nearest parking space available.
To this end, image-based systems offer cost advantages over other
sensor-based alternatives (e.g., ultrasonic sensors), requiri... | http://arxiv.org/abs/2309.16495v1 |
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