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The paper presents a novel approach to the description of the nonrelativistic
weak interaction of a massive neutral particle (lepton) and a nucleus, in which
the latter retains its integrity. The cross section of such a process is a sum
of the elastic (or coherent) contribution, when the nucleus remains in its
original... | http://arxiv.org/abs/2302.11201v1 |
Lensless digital holographic microscopy (LDHM) offers very large
field-of-view label-free imaging crucial, e.g., in high-throughput particle
tracking and biomedical examination of cells and tissues. Compact layouts
promote point-of-case and out-of-laboratory applications. The LDHM, based on
the Gabor in-line holographi... | http://arxiv.org/abs/2308.04131v1 |
This paper explores a multi-agent containment problem, where a fast evader,
modeled having constant speed and using constant heading, attempts to escape a
circular containment region that is orbited by a slower pursuer with a nonzero
capture radius. The pursuer is constrained to move along the edge of the
containment r... | http://arxiv.org/abs/2310.01203v1 |
Timely and accurate assessment of hurricane-induced building damage is
crucial for effective post-hurricane response and recovery efforts. Recently,
remote sensing technologies provide large-scale optical or Interferometric
Synthetic Aperture Radar (InSAR) imagery data immediately after a disastrous
event, which can be... | http://arxiv.org/abs/2310.01565v1 |
In the standard derivation of the Kerr-Schild double copy, the geodicity of
the Kerr-Schild vector and the stationarity of the spacetime are presented as
assumptions that are necessary for the single copy to satisfy Maxwell's
equations. However, it is well known that the vacuum Einstein equations imply
that the Kerr-Sc... | http://arxiv.org/abs/2306.13687v4 |
Transport in complex networks can describe a variety of natural and
human-engineered processes including biological, societal and technological
ones. However, how the properties of the source and drain nodes can affect
transport subject to random failures, attacks or maintenance optimization in
the network remain unkno... | http://arxiv.org/abs/2310.11776v1 |
Despite the success of diffusion models (DMs), we still lack a thorough
understanding of their latent space. To understand the latent space
$\mathbf{x}_t \in \mathcal{X}$, we analyze them from a geometrical perspective.
Our approach involves deriving the local latent basis within $\mathcal{X}$ by
leveraging the pullbac... | http://arxiv.org/abs/2307.12868v2 |
Consider a compact manifold $N$ (with or without boundary) of dimension $n$.
Positive $m$-intermediate curvature interpolates between positive Ricci
curvature ($m = 1$) and positive scalar curvature ($m = n-1$), and it is
obstructed on partial tori $N^n = M^{n-m} \times \mathbb{T}^m$. Given
Riemannian metrics $g, \bar{... | http://arxiv.org/abs/2301.07655v2 |
When applied to question answering and other text generation tasks, language
models (LMs) may be queried generatively (by sampling answers from their output
distribution) or discriminatively (by using them to score or rank a set of
candidate outputs). These procedures sometimes yield very different
predictions. How do ... | http://arxiv.org/abs/2310.09139v1 |
We consider identification and inference for the average treatment effect and
heterogeneous treatment effect conditional on observable covariates in the
presence of unmeasured confounding. Since point identification of these
treatment effects is not achievable without strong assumptions, we obtain
bounds on these treat... | http://arxiv.org/abs/2303.06332v3 |
Let $S$ be an fs log scheme, and let $F$ be a group scheme over the
underlying scheme which is \'etale locally representable by (1) a finite
dimensional $\mathbb{Q}$-vector space, or (2) a finite rank free abelian group,
or (3) a finite abelian group. We give a full description of all the higher
direct images of $F$ fr... | http://arxiv.org/abs/2301.08566v1 |
Adapter tuning, which updates only a few parameters, has become a mainstream
method for fine-tuning pretrained language models to downstream tasks. However,
it often yields subpar results in few-shot learning. AdapterFusion, which
assembles pretrained adapters using composition layers tailored to specific
tasks, is a p... | http://arxiv.org/abs/2308.15982v1 |
Since the emergence of convolutional neural networks (CNNs), and later vision
transformers (ViTs), the common paradigm for model development has always been
using a set of identical block types with varying parameters/hyper-parameters.
To leverage the benefits of different architectural designs (e.g. CNNs and
ViTs), we... | http://arxiv.org/abs/2306.03494v1 |
Federated learning (FL) is a distributed and privacy-preserving learning
framework for predictive modeling with massive data generated at the edge by
Internet of Things (IoT) devices. One major challenge preventing the wide
adoption of FL in IoT is the pervasive power supply constraints of IoT devices
due to the intens... | http://arxiv.org/abs/2302.07305v1 |
Grounding textual expressions on scene objects from first-person views is a
truly demanding capability in developing agents that are aware of their
surroundings and behave following intuitive text instructions. Such capability
is of necessity for glass-devices or autonomous robots to localize referred
objects in the re... | http://arxiv.org/abs/2308.12035v2 |
Active Learning (AL) has remained relatively unexplored for LiDAR perception
tasks in autonomous driving datasets. In this study we evaluate Bayesian active
learning methods applied to the task of dataset distillation or core subset
selection (subset with near equivalent performance as full dataset). We also
study the ... | http://arxiv.org/abs/2302.10679v1 |
Mathematical models for complex systems are often accompanied with
uncertainties. The goal of this paper is to extract a stochastic differential
equation governing model with observation on stationary probability
distributions. We develop a neural network method to learn the drift and
diffusion terms of the stochastic ... | http://arxiv.org/abs/2302.08036v1 |
We consider the combined effects that overshooting and the $^{12}$C($\alpha$,
$\gamma$)$^{16}$O reaction rate have on variable white dwarf stellar models. We
find that carbon-oxygen white dwarf models continue to yield pulsation
signatures of the current experimental $^{12}$C($\alpha$, $\gamma$)$^{16}$O
reaction rate p... | http://arxiv.org/abs/2307.03965v1 |
We study Dirac points of the chiral model of twisted bilayer graphene (TBG)
with constant in-plane magnetic field. For a fixed small magnetic field, we
show that as the angle of twisting varies between magic angles, the Dirac
points move between $ K, K' $ points and the $ \Gamma $ point. The Dirac points
for zero magne... | http://arxiv.org/abs/2303.00743v2 |
Existing automated techniques for software documentation typically attempt to
reason between two main sources of information: code and natural language.
However, this reasoning process is often complicated by the lexical gap between
more abstract natural language and more structured programming languages. One
potential... | http://arxiv.org/abs/2301.01224v1 |
Ultralight boson fields, with a mass around $10^{-23}\text{eV}$, are
promising candidates for the elusive cosmological dark matter. These fields
induce a periodic oscillation of the spacetime metric in the nanohertz
frequency band, which is detectable by pulsar timing arrays. In this paper, we
investigate the gravitati... | http://arxiv.org/abs/2305.08091v2 |
Let $R=K[x_{1},x_{2},\cdots, x_{m}]$ where $K$ is a field. In this paper, we
give some properties of $n$-matrix factorizations of polynomials in $R$. We
also derive some results giving some lower bounds on the number of $n$-matrix
factors of polynomials. In particular, we give a lower bound on the number of
matrix fact... | http://arxiv.org/abs/2310.03372v1 |
The cosmic dust particles found in space are mainly porous aggregates of
smaller grains. Theoretically, these aggregates are replicated using fractal
geometry, assuming a cluster of spheres. Although, the light scattering
response of cosmic dust aggregates has been thoroughly studied using clusters
of spherical grains ... | http://arxiv.org/abs/2302.13370v1 |
Let $X$ be a tree with $n$ vertices and $L(X)$ be its line graph. In this
work, we completely characterize the trees for which the algebraic connectivity
of $L(X)\times K_m$ is equal to $m-1$, where $\times$ denotes the Kronecker
product. We provide a few necessary and sufficient conditions for $L(X)\times
K_m$ to be L... | http://arxiv.org/abs/2308.06040v1 |
The response of superfluids to the external rotation, evidenced by emergence
of quantised vortices, distinguishes them from conventional fluids. In this
work, we demonstrate that the number of vortices in a stirred polariton
condensate depends on the characteristic size of the employed rotating
potential induced by the... | http://arxiv.org/abs/2308.09373v1 |
The classification of weather data involves categorizing meteorological
phenomena into classes, thereby facilitating nuanced analyses and precise
predictions for various sectors such as agriculture, aviation, and disaster
management. This involves utilizing machine learning models to analyze large,
multidimensional wea... | http://arxiv.org/abs/2310.13161v1 |
A sample identifying complexity and a sample deciphering time have been
introduced in a previous study to capture an estimation error and a computation
time of system identification by adversaries. The quantities play a crucial
role in defining the security of encrypted control systems and designing a
security paramete... | http://arxiv.org/abs/2303.13059v1 |
With high-sensitivity kiloparsec-scale radio polarimetry, we can examine the
jet-medium interactions and get a better understanding of the blazar divide in
radio-loud (RL) AGN. We are analyzing the radio polarimetric observations with
the EVLA and GMRT of 24 quasars and BL Lacs belonging to the Palomar-Green (PG)
sampl... | http://arxiv.org/abs/2304.11831v1 |
Despite the success of Siamese encoder models such as sentence transformers
(ST), little is known about the aspects of inputs they pay attention to. A
barrier is that their predictions cannot be attributed to individual features,
as they compare two inputs rather than processing a single one. This paper
derives a local... | http://arxiv.org/abs/2310.05703v3 |
This paper introduces FALL-E, a foley synthesis system and its
training/inference strategies. The FALL-E model employs a cascaded approach
comprising low-resolution spectrogram generation, spectrogram super-resolution,
and a vocoder. We trained every sound-related model from scratch using our
extensive datasets, and ut... | http://arxiv.org/abs/2306.09807v2 |
The Synchronic Web is a highly scalable notary infrastructure that provides
tamper-evident data provenance for historical web data. In this document, we
describe the applicability of this infrastructure for web archiving across
three envisioned stages of adoption. We codify the core mechanism enabling the
value proposi... | http://arxiv.org/abs/2302.05512v1 |
Measures of rank correlation are commonly used in statistics to capture the
degree of concordance between two orderings of the same set of items. Standard
measures like Kendall's tau and Spearman's rho coefficient put equal emphasis
on each position of a ranking. Yet, motivated by applications in which some of
the posi... | http://arxiv.org/abs/2308.10622v1 |
Resetting a stochastic process is an important problem describing the
evolution of physical, biological and other systems which are continually
returned to their certain fixed point. We consider the motion of a subdiffusive
particle with a constant drift under Poissonian resetting. In this model the
stochastic process ... | http://arxiv.org/abs/2303.15428v2 |
Liquid organic hydrogen carriers (LOHCs) represent a promising approach for
hydrogen storage due to their favorable properties including stability and
compatibility with the existing infrastructure. However, fossil-based LOHC
molecules are not green or sustainable. Here we examined the possibility of
using norbelladine... | http://arxiv.org/abs/2310.15510v1 |
The autonomous driving community has witnessed a rapid growth in approaches
that embrace an end-to-end algorithm framework, utilizing raw sensor input to
generate vehicle motion plans, instead of concentrating on individual tasks
such as detection and motion prediction. End-to-end systems, in comparison to
modular pipe... | http://arxiv.org/abs/2306.16927v3 |
Formal verification of datapath circuits is challenging as they are subject
to intense optimization effort in the design phase. Industrial vendors and
design companies deploy equivalence checking against a golden or existing
reference design to satisfy correctness concerns. State-of-the-art datapath
equivalence checkin... | http://arxiv.org/abs/2308.00431v1 |
In the Monge-Kantorovich transport problem, the transport cost is expressed
in terms of transport maps or transport plans, which play crucial roles there.
A variant of the Monge-Kantorovich problem is the ramified (branching)
transport problem that models branching transport systems via transport paths.
In this article... | http://arxiv.org/abs/2310.03825v1 |
Hougardy and Schroeder (WG 2014) proposed a combinatorial technique for
pruning the search space in the traveling salesman problem, establishing that,
for a given instance, certain edges cannot be present in any optimal tour. We
describe an implementation of their technique, employing an exact TSP solver to
locate k-op... | http://arxiv.org/abs/2307.07054v1 |
Prokaryotic organisms usually possess compact genomes, which are particularly
suitable to complete sequencing with existing technologies, which led to an
escalating accumulation of available genome data. In response to this
ever-expanding repository of information, we introduce ProSt, a computational
system designed fo... | http://arxiv.org/abs/2307.08367v2 |
In this paper we generalize the strongly convergent Krasnoselskii- Mann-type
iteration for families of nonexpansive mappings defined recently by Bo\c{t} and
Meier in Hilbert spaces to the abstract setting of W - hyperbolic spaces and we
compute effective rates of asymptotic regularity for our generalization. This
also ... | http://arxiv.org/abs/2304.11366v2 |
Most transit microlensing events due to very low-mass lens objects suffer
from extreme finite-source effects. While modeling their light curves, there is
a known continuous degeneracy between their relevant lensing parameters, i.e.,
the source angular radius normalized to the angular Einstein radius
$\rho_{\star}$, the... | http://arxiv.org/abs/2304.09529v1 |
Biological signals, such as electroencephalograms (EEG), play a crucial role
in numerous clinical applications, exhibiting diverse data formats and quality
profiles. Current deep learning models for biosignals are typically specialized
for specific datasets and clinical settings, limiting their broader
applicability. M... | http://arxiv.org/abs/2305.10351v1 |
The increasing volume of log data produced by software-intensive systems
makes it impractical to analyze them manually. Many deep learning-based methods
have been proposed for log-based anomaly detection. These methods face several
challenges such as high-dimensional and noisy log data, class imbalance,
generalization,... | http://arxiv.org/abs/2309.01189v1 |
Hadwiger's conjecture in convex geometry, formulated in 1957, states that
every convex body in $\mathbb{R}^n$ can be covered by $2^n$ translations of its
interior. Despite significant efforts, the best known bound related to this
problem was $\mathcal{O}(4^n \sqrt{n} \log n)$ for more than sixty years. In
2021, Huang, ... | http://arxiv.org/abs/2310.14381v1 |
We present an empirical evaluation of various outputs generated by nine of
the most widely-available large language models (LLMs). Our analysis is done
with off-the-shelf, readily-available tools. We find a correlation between
percentage of memorized text, percentage of unique text, and overall output
quality, when mea... | http://arxiv.org/abs/2304.08637v1 |
Social dilemmas present a significant challenge in multi-agent cooperation
because individuals are incentivised to behave in ways that undermine socially
optimal outcomes. Consequently, self-interested agents often avoid collective
behaviour. In response, we formalise social dilemmas and introduce a novel
metric, the g... | http://arxiv.org/abs/2310.12928v3 |
The potential of large language models (LLMs) to reason like humans has been
a highly contested topic in Machine Learning communities. However, the
reasoning abilities of humans are multifaceted and can be seen in various
forms, including analogical, spatial and moral reasoning, among others. This
fact raises the quest... | http://arxiv.org/abs/2303.12810v1 |
Semisort is a fundamental algorithmic primitive widely used in the design and
analysis of efficient parallel algorithms. It takes input as an array of
records and a function extracting a \emph{key} per record, and reorders them so
that records with equal keys are contiguous. Since many applications only
require collect... | http://arxiv.org/abs/2304.10078v1 |
We deduce a non-linear commutator higher-spin (HS) symmetry algebra which
encodes unitary irreducible representations of the AdS group -- subject to a
Young tableaux $Y(s_1,\ldots ,s_k)$ with $k\geq 2$ rows -- in a $d$-dimensional
anti-de-Sitter space. Auxiliary representations for a deformed non-linear HS
symmetry alg... | http://arxiv.org/abs/2305.00142v4 |
Although recent network representation learning (NRL) works in
text-attributed networks demonstrated superior performance for various graph
inference tasks, learning network representations could always raise privacy
concerns when nodes represent people or human-related variables. Moreover,
standard NRLs that leverage ... | http://arxiv.org/abs/2302.04383v1 |
Lattice QCD spectra can be used to constrain partial-wave scattering
amplitudes that, while satisfying unitarity, do not have to respect crossing
symmetry and analyticity. This becomes a particular problem when extrapolated
far from real energies, e.g. in the case of broad resonances like the $\sigma$,
leading to large... | http://arxiv.org/abs/2304.03762v2 |
We explore phase behaviour of a binary colloidal system under external
spatially periodic modulation. We perform Monte Carlo simulation on a binary
mixture of big and small repulsive Lennard-Jones particles with diameter ratio
1:2. We characterise structure by isotropic and anisotropic pair correlation
function, cluste... | http://arxiv.org/abs/2307.15450v1 |
Faults occurring in ad-hoc robot networks may fatally perturb their
topologies leading to disconnection of subsets of those networks. Optimal
topology synthesis is generally resource-intensive and time-consuming to be
done in real time for large ad-hoc robot networks. One should only perform
topology re-computations if... | http://arxiv.org/abs/2310.20024v1 |
Artificial Intelligence (AI) is progressing rapidly, and companies are
shifting their focus to developing generalist AI systems that can autonomously
act and pursue goals. Increases in capabilities and autonomy may soon massively
amplify AI's impact, with risks that include large-scale social harms,
malicious uses, and... | http://arxiv.org/abs/2310.17688v3 |
We consider the internalization of the usual notion of principal bundle in a
site that has all pullbacks and a terminal object. We use this notion to
consider the explicit construction of quotient prestacks via presheaves of
categories of principal bundles equipped with equivariant morphisms in this
abstract context. W... | http://arxiv.org/abs/2302.07852v2 |
This article aims to study the linear and nonlinear optical response of
inversion symmetric graphene quantum dots (GQDs) in the presence of on-site
disorder or vacancies. The presence of disorder or vacancy breaks the special
inversion symmetry leading to the emergence of intense Hall-type anomalous
harmonics. This phe... | http://arxiv.org/abs/2310.16596v1 |
The paper considers some class of dynamical systems that called density
systems. For such systems the derivative of quadratic function depends on
so-called density function. The density function is used to set the properties
of phase space, therefore, it influences the behaviour of investigated systems.
A particular cl... | http://arxiv.org/abs/2304.05313v1 |
Following a theorem of David R. Hayes, we give a geometric interpretation of
the special value at $s=0$ of certain $1$-cocycle on
$\mathrm{PGL}_2(\mathbb{Q})$ previously introduced by the author. This work
yields three main results: an explicit formula for our cocycle at $s=0$, a
generalization and a new proof of Hayes... | http://arxiv.org/abs/2310.17850v1 |
Active flow control (AFC) involves manipulating fluid flow over time to
achieve a desired performance or efficiency. AFC, as a sequential optimisation
task, can benefit from utilising Reinforcement Learning (RL) for dynamic
optimisation. In this work, we introduce Gym-preCICE, a Python adapter fully
compliant with Gymn... | http://arxiv.org/abs/2305.02033v1 |
Light field imaging can capture both the intensity information and the
direction information of light rays. It naturally enables a
six-degrees-of-freedom viewing experience and deep user engagement in virtual
reality. Compared to 2D image assessment, light field image quality assessment
(LFIQA) needs to consider not on... | http://arxiv.org/abs/2303.10961v1 |
We address a fundamental challenge in Natural Language Generation (NLG) model
evaluation -- the design and evaluation of evaluation metrics. Recognizing the
limitations of existing automatic metrics and noises from how current human
evaluation was conducted, we propose MetricEval, a framework informed by
measurement th... | http://arxiv.org/abs/2305.14889v2 |
We study pseudorandomness and pseudorandom generators from the perspective of
logical definability. Building on results from ordinary derandomization and
finite model theory, we show that it is possible to deterministically
construct, in polynomial time, graphs and relational structures that are
statistically indisting... | http://arxiv.org/abs/2304.12109v1 |
Recent research has shown that the integration of Reinforcement Learning (RL)
with Moving Target Defense (MTD) can enhance cybersecurity in
Internet-of-Things (IoT) devices. Nevertheless, the practicality of existing
work is hindered by data privacy concerns associated with centralized data
processing in RL, and the un... | http://arxiv.org/abs/2308.05978v4 |
The Josephson junction is typically tuned by a magnetic field or
electrostatic gates to realize a superconducting transistor, which manipulates
the supercurrent in integrated superconducting circuits. However, this tunable
method does not achieve simultaneous control for the supercurrent phase (phase
difference between... | http://arxiv.org/abs/2305.04442v1 |
Owing to the advances in image processing technology and large-scale
datasets, companies have implemented facial authentication processes, thereby
stimulating increased focus on face anti-spoofing (FAS) against realistic
presentation attacks. Recently, various attempts have been made to improve face
recognition perform... | http://arxiv.org/abs/2307.12459v1 |
Precise localization is critical for autonomous vehicles. We present a
self-supervised learning method that employs Transformers for the first time
for the task of outdoor localization using LiDAR data. We propose a pre-text
task that reorganizes the slices of a $360^\circ$ LiDAR scan to leverage its
axial properties. ... | http://arxiv.org/abs/2301.08957v2 |
Digging out the latent information from large-scale incomplete matrices is a
key issue with challenges. The Latent Factor Analysis (LFA) model has been
investigated in depth to an alyze the latent information. Recently, Swarm
Intelligence-related LFA models have been proposed and adopted widely to
improve the optimizat... | http://arxiv.org/abs/2302.11956v1 |
Ising machines are next-generation computers expected to efficiently sample
near-optimal solutions of combinatorial optimization problems. Combinatorial
optimization problems are modeled as quadratic unconstrained binary
optimization (QUBO) problems to apply an Ising machine. However, current
state-of-the-art Ising mac... | http://arxiv.org/abs/2307.05125v2 |
MUGAST is a state-of-the-art silicon array combining trapezoidal and square
shaped double-sided silicon strip detectors (DSSD) to four MUST2 telescopes.
Coupled to a {\gamma}-ray spectrometer, the excellent angular coverage and
compacity of the MUGAST array make it an ideal tool for the study of transfer
reactions. It ... | http://arxiv.org/abs/2310.10681v1 |
Magnetic flux expulsion properties of the superconducting material such as
bulk niobium, widely used for the radio-frequency cavity fabrication,
substantially affect the performance characteristics of the cavities. The
quality factor of the SRF resonators can be significantly compromised due to
the presence of the trap... | http://arxiv.org/abs/2301.09491v1 |
In last-mile delivery, drivers frequently deviate from planned delivery
routes because of their tacit knowledge of the road and curbside
infrastructure, customer availability, and other characteristics of the
respective service areas. Hence, the actual stop sequences chosen by an
experienced human driver may be potenti... | http://arxiv.org/abs/2301.03802v1 |
In this work, a unique set of generators for a cyclic code over a finite
chain ring has been established. The minimal spanning set and rank of the code
have also been determined. Further, sufficient as well as necessary conditions
for a cyclic code to be an MDS code and for a cyclic code to be an MHDR code
have been ob... | http://arxiv.org/abs/2303.15819v1 |
Fatigue crack growth is decisive for the design of thin-walled structures
such as fuselage shells of air planes. The cold rolling process, used to
produce the aluminium sheets this structure is made of, leads to anisotropic
mechanical properties. In this contribution, we simulate the fatigue crack
growth with a phase-f... | http://arxiv.org/abs/2308.00800v1 |
We introduce the notion of an $\varepsilon$-cover for a kernel range space. A
kernel range space concerns a set of points $X \subset \mathbb{R}^d$ and the
space of all queries by a fixed kernel (e.g., a Gaussian kernel $K(p,\cdot) =
\exp(-\|p-\cdot\|^2)$). For a point set $X$ of size $n$, a query returns a
vector of va... | http://arxiv.org/abs/2306.16516v1 |
Audio fingerprinting is a well-established solution for song identification
from short recording excerpts. Popular methods rely on the extraction of sparse
representations, generally spectral peaks, and have proven to be accurate,
fast, and scalable to large collections. However, real-world applications of
audio identi... | http://arxiv.org/abs/2310.13388v2 |
Let T be an SMT solver with no theory solvers except for Quantifier
Instantiation. Given a set of first-order clauses S saturated by Resolution
(with a valid literal selection function) we show that T is complete if its
Trigger function is the same as the literal selection function. So if T halts
with a ground model G,... | http://arxiv.org/abs/2306.09436v2 |
The Internet of Things is transforming our society, providing new services
that improve the quality of life and resource management. These applications
are based on ubiquitous networks of multiple distributed devices, with limited
computing resources and power, capable of collecting and storing data from
heterogeneous ... | http://arxiv.org/abs/2305.10437v1 |
The strength of machine learning models stems from their ability to learn
complex function approximations from data; however, this strength also makes
training deep neural networks challenging. Notably, the complex models tend to
memorize the training data, which results in poor regularization performance on
test data.... | http://arxiv.org/abs/2304.07262v1 |
Constraining the strength of gas turbulence in protoplanetary discs is an
open problem that has relevant implications for the physics of gas accretion
and planet formation. In this work, we gauge the amount of turbulence in 6 of
the discs observed in the DSHARP programme by indirectly measuring the vertical
distributio... | http://arxiv.org/abs/2307.11150v1 |
The fate of the single particle immersed in and interacting with a bath of
other particles localized in a tilted lattice is investigated. For tilt values
comparable to the tunneling rate a slow-down of the dynamics is observed
without, however, a clear localization of the impurity. For large tilt and
strong interaction... | http://arxiv.org/abs/2306.06705v2 |
Autonomous driving needs to rely on high-quality 3D object detection to
ensure safe navigation in the world. Uncertainty estimation is an effective
tool to provide statistically accurate predictions, while the associated
detection uncertainty can be used to implement a more safe navigation protocol
or include the user ... | http://arxiv.org/abs/2302.05923v2 |
With shrinking dimensions in integrated circuits, sensors, and functional
devices, there is a pressing need to develop nanofabrication techniques with
simultaneous control of morphology, microstructure, and material composition
over wafer length scales. Current techniques are largely unable to meet all
these conditions... | http://arxiv.org/abs/2306.10167v1 |
A major barrier to deploying healthcare AI models is their trustworthiness.
One form of trustworthiness is a model's robustness across different subgroups:
while existing models may exhibit expert-level performance on aggregate
metrics, they often rely on non-causal features, leading to errors in hidden
subgroups. To t... | http://arxiv.org/abs/2306.08728v1 |
Fast and accurate MRI reconstruction is a key concern in modern clinical
practice. Recently, numerous Deep-Learning methods have been proposed for MRI
reconstruction, however, they usually fail to reconstruct sharp details from
the subsampled k-space data. To solve this problem, we propose a lightweight
and accurate Ed... | http://arxiv.org/abs/2304.11400v1 |
The increasing number of Distributed Energy Resources (DERs) in the emerging
Smart Grid, has created an imminent need for intelligent multiagent frameworks
able to utilize these assets efficiently. In this paper, we propose a novel DER
aggregation framework, encompassing a multiagent architecture and various types
of m... | http://arxiv.org/abs/2307.08401v1 |
We prove that a quasi-isomorphism $f : A \to B$ between commutative DG rings,
where $B$ admits a divided power structure, can be factored as $f = \tilde{f}
\circ e$, where $e : A \to \tilde{B}$ is a split injective quasi-isomorphism,
and $\tilde{f} : \tilde{B} \to B$ is a surjective quasi-isomorphism.
This result is ... | http://arxiv.org/abs/2305.06255v2 |
Quantum electrodynamics (QED) is the most accurate of all experimentally
verified physical theories. How QED and other theories of fundamental
interactions couple to gravity through special unitary symmetries, on which the
standard model of particle physics is based, is, however, still unknown. Here
we develop a coupli... | http://arxiv.org/abs/2310.02285v6 |
We propose a method to control the attributes of Language Models (LMs) for
the text generation task using Causal Average Treatment Effect (ATE) scores and
counterfactual augmentation. We explore this method, in the context of LM
detoxification, and propose the Causally Fair Language (CFL) architecture for
detoxifying p... | http://arxiv.org/abs/2306.00374v1 |
This paper presents a Visual Inertial Odometry Landmark-based Simultaneous
Localisation and Mapping algorithm based on a distributed block coordinate
nonlinear Moving Horizon Estimation scheme. The main advantage of the proposed
method is that the updates on the position of the landmarks are based on a
Bundle Adjustmen... | http://arxiv.org/abs/2304.01613v1 |
Principal component regression (PCR) is a popular technique for fixed-design
error-in-variables regression, a generalization of the linear regression
setting in which the observed covariates are corrupted with random noise. We
provide the first time-uniform finite sample guarantees for (regularized) PCR
whenever data i... | http://arxiv.org/abs/2307.01357v3 |
For min-max optimization and variational inequalities problems (VIP)
encountered in diverse machine learning tasks, Stochastic Extragradient (SEG)
and Stochastic Gradient Descent Ascent (SGDA) have emerged as preeminent
algorithms. Constant step-size variants of SEG/SGDA have gained popularity,
with appealing benefits ... | http://arxiv.org/abs/2306.16502v1 |
In Wigner function approach with relaxation time approximation, we calculate
electric and magnetic conductivities of a fermion system in the strong magnetic
field. The linear response has been calculated to the perturbation of
electromagnetic fields on the background constant magnetic field. The Wigner
function is sepa... | http://arxiv.org/abs/2304.00519v1 |
Curvature properties of the characteristic connection on an integrable $G_2$
space are investigated. It is proved that an integrable $G_2$ manifold has
closed torsion if and only if the Ricci tensor of the characteristic connection
is equal to the covariant derivative of the Lee form and in this case the
integrable $G_... | http://arxiv.org/abs/2307.06438v3 |
The spinel oxide superconductor LiTi2O4 (LTO) is an intriguing material
platform where the electronic structure near the Fermi energy (EF) is derived
from 3d elections on the geometrically frustrated Ti pyrochlore network. A
recent angle-resolved photoemission spectroscopy (ARPES) study has revealed the
existence of an... | http://arxiv.org/abs/2306.06711v1 |
The flavour problem and the viability of texture zeros of the Majorana mass
matrix in the 3+1 active-sterile neutrino mixing scenario are investigated in
this work using a novel bottom-up technique where we leverage the pertinent
concepts of full modular group, modular invariants, and $A_4$ flavour symmetry
as theoreti... | http://arxiv.org/abs/2303.04900v2 |
We present and discuss new families of primary hair charged black hole
solutions in asymptotically anti-de Sitter space in three dimensions. The
coupled Einstein-Maxwell-scalar gravity system, that carries the coupling
$f(\phi)$ between the scalar and Maxwell fields is solved, and exact hairy
black hole solutions are o... | http://arxiv.org/abs/2305.09172v2 |
A dynamical system is considered, which comprises an $n$-dimensional lattice
$N_1 \times N_2 \times \dots \times N_n$ with periodic boundary conditions.
Particles traverse this lattice following a variant of the
Biham--Middleton--Levine (BML) traffic model's particle movement rules. We have
proved that the BML model, w... | http://arxiv.org/abs/2310.02291v1 |
We propose a novel semi-supervised active learning (SSAL) framework for
monocular 3D object detection with LiDAR guidance (MonoLiG), which leverages
all modalities of collected data during model development. We utilize LiDAR to
guide the data selection and training of monocular 3D detectors without
introducing any over... | http://arxiv.org/abs/2307.08415v1 |
The Mixture of Experts (MoE) model becomes an important choice of large
language models nowadays because of its scalability with sublinear
computational complexity for training and inference. However, existing MoE
models suffer from two critical drawbacks, 1) tremendous inner-node and
inter-node communication overhead ... | http://arxiv.org/abs/2304.11414v1 |
Convolutional Neural Networks (ConvNets) usually rely on edge/shape
information to classify images. Visualization methods developed over the last
decade confirm that ConvNets rely on edge information. We investigate
situations where the ConvNet needs to rely on image intensity in addition to
shape. We show that the Con... | http://arxiv.org/abs/2306.00360v2 |
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