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Semantic segmentation of brain tumours is a fundamental task in medical image
analysis that can help clinicians in diagnosing the patient and tracking the
progression of any malignant entities. Accurate segmentation of brain lesions
is essential for medical diagnosis and treatment planning. However, failure to
acquire ... | http://arxiv.org/abs/2308.13883v1 |
We give a necessary and sufficient condition for a modular representation of
a group $G=C_{p^h} \rtimes C_m$ in a field of characteristic zero to be lifted
to a representation over local principal ideal domain of characteristic zero
containing the $p^h$ roots of unity. | http://arxiv.org/abs/2301.01032v1 |
In the context of extriangulated categories, we establish the injective
version of Schanuel's lemma in homological algebra. | http://arxiv.org/abs/2310.07302v1 |
We compared the efficiency of the FlyHash model, an insect-inspired sparse
neural network (Dasgupta et al., 2017), to similar but non-sparse models in an
embodied navigation task. This requires a model to control steering by
comparing current visual inputs to memories stored along a training route. We
concluded the Fly... | http://arxiv.org/abs/2303.08109v2 |
In this manuscript we describe the investigation of the SARS-CoV2 membrane
fusion timescale by means of small-angle neutron scattering (SANS) using
hydrogen/deuterium contrast variation. After the successful production of
virus-like vesicles and human-host-cell-like vesicles we were able to follow
the fusion of the res... | http://arxiv.org/abs/2303.10746v1 |
Isospin symmetry is the most precise flavor symmetry. The effective
Hamiltonian of charm quark weak decay is zero under the isospin lowering
operators $I_-^n$, which permits us to generate isospin sum rules through
several master formulas. In this work, we derive the master formulas of isospin
sum rules for the two- an... | http://arxiv.org/abs/2301.07443v3 |
Let $K$ be a number field, $S$ a finite set of places. For $\mathbb{G}_m$ or
an elliptic curve $E$ defined over $K$, we establish uniformity results on the
number of $S$-integral torsion points relative to a non-torsion point $\beta$,
as $\beta$ varies over number fields of bounded degree. In particular for
$\mathbb{G}... | http://arxiv.org/abs/2302.01562v4 |
When a thermally isolated system performs a driving process in the
quasistatic regime, its variation of average work $\langle W\rangle$ is equal
to its quasistatic work $\langle W_{\rm qs}\rangle$. Even though presenting
this simple definition, few attempts have been made to describe such
equilibrium quantity from the ... | http://arxiv.org/abs/2303.16337v4 |
The Teleparallel Theory is equivalent to General Relativity, but whereas in
the latter gravity has to do with curvature, in the former gravity is described
by torsion. As is well known, there is in the literature a host of alternative
theories of gravity, among them the so called extended theories, in which
additional ... | http://arxiv.org/abs/2308.00627v2 |
Short-range correlated (SRC) nucleon pairs, which are strongly interacting
nucleons at short inter-particle distances, can reveal properties of the
effective nucleon-nucleon (\textit{NN}) interaction at short distance scales.
The relative abundance of proton-proton (\textit{pp}) pairs and proton-neutron
(\textit{pn}) p... | http://arxiv.org/abs/2307.16818v2 |
In scheduling problems common in the industry and various real-world
scenarios, responding in real-time to disruptive events is essential. Recent
methods propose the use of deep reinforcement learning (DRL) to learn policies
capable of generating solutions under this constraint. The objective of this
paper is to introd... | http://arxiv.org/abs/2310.15706v2 |
The speech signal is a consummate example of time-series data. The acoustics
of the signal change over time, sometimes dramatically. Yet, the most common
type of comparison we perform in phonetics is between instantaneous acoustic
measurements, such as formant values. In the present paper, I discuss the
concept of abse... | http://arxiv.org/abs/2304.06183v2 |
The deep learning architecture associated with ChatGPT and related generative
AI products is known as transformers. Initially applied to Natural Language
Processing, transformers and the self-attention mechanism they exploit have
gained widespread interest across the natural sciences. The goal of this
pedagogical and i... | http://arxiv.org/abs/2310.12069v2 |
Traditionally, peer-to-peer systems have relied on altruism and reciprocity.
Although incentive-based models have gained prominence in new-generation
peer-to-peer systems, it is essential to recognize the continued importance of
cooperative principles in achieving performance, fairness, and correctness. The
lack of thi... | http://arxiv.org/abs/2308.07148v1 |
Knowing the conserved quantities that a galaxy's stellar orbits conform to is
important in helping us understand the stellar distribution and structures
within the galaxy. Isolating integrals of motion and resonances are
particularly important, non-isolating integrals less so. We compare the
behavior and results of two... | http://arxiv.org/abs/2302.13166v1 |
The recent claim of superconductivity above room temperature in
Pb$_{10-x}$Cu$_x$(PO$_4$)$_6$O with 0.9 < $x$ < 1 (referred to as LK-99) has
sparked considerable interest. To minimize the influence of structural defects
and impurity phases on the physical properties, we have synthesized phase-pure
single crystals with ... | http://arxiv.org/abs/2308.06256v2 |
Bayesian optimization (BO) provides a powerful framework for optimizing
black-box, expensive-to-evaluate functions. It is therefore an attractive tool
for engineering design problems, typically involving multiple objectives.
Thanks to the rapid advances in fabrication and measurement methods as well as
parallel computi... | http://arxiv.org/abs/2306.01095v4 |
Neural fields are evolving towards a general-purpose continuous
representation for visual computing. Yet, despite their numerous appealing
properties, they are hardly amenable to signal processing. As a remedy, we
present a method to perform general continuous convolutions with general
continuous signals such as neural... | http://arxiv.org/abs/2304.01834v4 |
Ranking is a ubiquitous method for focusing the attention of human evaluators
on a manageable subset of options. Its use as part of human decision-making
processes ranges from surfacing potentially relevant products on an e-commerce
site to prioritizing college applications for human review. While ranking can
make huma... | http://arxiv.org/abs/2309.01610v3 |
Human-annotated textual explanations are becoming increasingly important in
Explainable Natural Language Processing. Rationale extraction aims to provide
faithful (i.e., reflective of the behavior of the model) and plausible (i.e.,
convincing to humans) explanations by highlighting the inputs that had the
largest impac... | http://arxiv.org/abs/2310.14418v1 |
Quantum dynamics in certain kinetically-constrained systems can display a
strong sensitivity to the initial condition, wherein some initial states give
rise to persistent quantum revivals -- a type of weak ergodicity breaking known
as `quantum many-body scarring' (QMBS). Recent work [Phys.Rev.B 105, 125123
(2022)] poin... | http://arxiv.org/abs/2301.03631v2 |
Non-Hermitian quasicrystal forms a unique class of matter with
symmetry-breaking, localization and topological transitions induced by gain and
loss or nonreciprocal effects. In this work, we introduce a non-Abelian
generalization of the non-Hermitian quasicrystal, in which the interplay
between non-Hermitian effects an... | http://arxiv.org/abs/2302.05710v3 |
Self-supervised learning on graphs has made large strides in achieving great
performance in various downstream tasks. However, many state-of-the-art methods
suffer from a number of impediments, which prevent them from realizing their
full potential. For instance, contrastive methods typically require negative
sampling,... | http://arxiv.org/abs/2306.06936v2 |
Time varying sequences of 3D point clouds, or 4D point clouds, are now being
acquired at an increasing pace in several applications (e.g., LiDAR in
autonomous or assisted driving). In many cases, such volume of data is
transmitted, thus requiring that proper compression tools are applied to either
reduce the resolution... | http://arxiv.org/abs/2306.01081v1 |
Theoretical and experimental studies have verified the existence of ``magic
angles'' in twisted bilayer graphene, where the twist between layers gives rise
to flat bands and consequently highly correlated phases. Narrow bands can also
exist in multilayers with alternating twist angles, and recent theoretical work
sugge... | http://arxiv.org/abs/2305.18080v2 |
The Large Interferometer For Exoplanets (LIFE) initiative aims to develop a
space based mid-infrared (MIR) nulling interferometer to measure the thermal
emission spectra of temperate terrestrial exoplanets.
We investigate how well LIFE could characterize a cloudy Venus-twin exoplanet
to: (1) test our retrieval routin... | http://arxiv.org/abs/2303.04727v2 |
We consider a remote sensing system in which fixed sensors are placed in a
region, and a drone flies over the region to collect information from cluster
heads. We assume that the drone has a fixed maximum range, and that the energy
consumption for information transmission from the cluster heads increases with
distance ... | http://arxiv.org/abs/2309.01604v2 |
Negative-index materials (NIMs) are shown to support optical anti-parity-time
(anti-PT) symmetry even when they are lossless. Here we prove the feasibility
in achieving higher-order exceptional points (EPs) in loss-free waveguide
arrays by utilizing the anti-$\mathcal{PT}$ symmetry induced by NIM. Numerical
simulation ... | http://arxiv.org/abs/2304.07289v2 |
Progress in artificial intelligence and machine learning over the past decade
has been driven by the ability to train larger deep neural networks (DNNs),
leading to a compute demand that far exceeds the growth in hardware performance
afforded by Moore's law. Training DNNs is an extremely memory-intensive
process, requi... | http://arxiv.org/abs/2308.02024v1 |
We study a bottom-up, holographic description of a field theory yielding the
spontaneous breaking of an approximate SO(5) global symmetry to its SO(4)
subgroup. The weakly-coupled, six-dimensional gravity dual has regular
geometry. One of the dimensions is compactified on a circle that shrinks
smoothly to zero size at ... | http://arxiv.org/abs/2303.00541v3 |
We study an edge-weighted online stochastic \emph{Generalized Assignment
Problem} with \emph{unknown} Poisson arrivals. In this model, we consider a
bipartite graph that contains offline bins and online items, where each offline
bin is associated with a $D$-dimensional capacity vector and each online item
is with a $D$... | http://arxiv.org/abs/2302.08234v2 |
Research in Cooperative Intersection Management (CIM), utilizing
Vehicle-to-Everything (V2X) communication among Connected and/or Autonomous
Vehicles (CAVs), is crucial for enhancing intersection safety and driving
experience. CAVs can transceive basic and/or advanced safety information,
thereby improving situational a... | http://arxiv.org/abs/2304.04958v2 |
Phase-separated biomolecular condensates exhibit a wide range of dynamical
properties, which depend on the sequences of the constituent proteins and RNAs.
However, it is unclear to what extent condensate dynamics can be tuned without
also changing the thermodynamic properties that govern phase separation. Using
coarse-... | http://arxiv.org/abs/2306.03696v3 |
Graph neural networks (GNNs) have demonstrated success in modeling relational
data, especially for data that exhibits homophily: when a connection between
nodes tends to imply that they belong to the same class. However, while this
assumption is true in many relevant situations, there are important real-world
scenarios... | http://arxiv.org/abs/2306.12943v1 |
In the paper, we obtain an expression for a two-loop master-diagram by using
the Mellin$-$Barnes transformation. In the two-dimensional case we managed to
factorize the answer and write it as a bilinear combination of hypergeometric
functions ${}_3F_2$. | http://arxiv.org/abs/2303.09203v2 |
In recent years, topology optimization has been developed sufficiently and
many researchers have concentrated on enhancing to computationally numerical
algorithms for computational effectiveness of this method. Along with the
development of topology optimization, High Performance Computing (HPC) was
marked by a strong ... | http://arxiv.org/abs/2301.07457v1 |
This paper presents a study of $Z \to ll\gamma~$decays with the ATLAS
detector at the Large Hadron Collider. The analysis uses a proton-proton data
sample corresponding to an integrated luminosity of 20.2 fb$^{-1}$ collected at
a centre-of-mass energy $\sqrt{s}$ = 8 TeV. Integrated fiducial cross-sections
together with... | http://arxiv.org/abs/2310.11574v2 |
The detection of black-hole binaries at high redshifts is a cornerstone of
the science case of third-generation gravitational-wave interferometers. The
star-formation rate peaks at z~2 and decreases by orders of magnitude by z~10.
Any confident detection of gravitational waves from such high redshifts would
imply eithe... | http://arxiv.org/abs/2303.16323v2 |
We examine the temporal evolution of the modular entropy and capacity (in
particular, the fluctuation of the entanglement entropy) for systems of
time-dependent oscillators coupled by a (time-dependent) parameter. Such
models, through the discretization procedure, fit into field theory problems
arising from quench phen... | http://arxiv.org/abs/2309.03013v2 |
The impressive generalization performance of modern neural networks is
attributed in part to their ability to implicitly memorize complex training
patterns. Inspired by this, we explore a novel mechanism to improve model
generalization via explicit memorization. Specifically, we propose the
residual-memorization (ResMe... | http://arxiv.org/abs/2302.01576v2 |
We obtain new black hole solutions in a Einstein-Bumblebee-scalar theory. By
starting with a Einstein-Bumblebee theory in D + d dimensions, the scalar
dilaton field and its interaction with the gravitational and bumblebee fields
are obtained by Kaluza-Klein (KK) reduction over the extra dimensions.
Considering the effe... | http://arxiv.org/abs/2308.14646v2 |
Perceptive deep reinforcement learning (DRL) has lead to many recent
breakthroughs for complex AI systems leveraging image-based input data.
Applications of these results range from super-human level video game agents to
dexterous, physically intelligent robots. However, training these perceptive
DRL-enabled systems re... | http://arxiv.org/abs/2310.01767v1 |
Language model probing is often used to test specific capabilities of models.
However, conclusions from such studies may be limited when the probing
benchmarks are small and lack statistical power. In this work, we introduce
new, larger datasets for negation (NEG-1500-SIMP) and role reversal (ROLE-1500)
inspired by psy... | http://arxiv.org/abs/2303.16445v3 |
Based on the assignment of the first radial excitation states of the
isoscalar pseudoscalars for $\eta(1295)$ and $\eta(1405/1475)$, we investigate
their three-body and four-body decay contributions to the total widths. In
agreement with our previous studies we find that the triangle singularity (TS)
mechanism arising ... | http://arxiv.org/abs/2302.01210v1 |
Data management on GPUs has become increasingly relevant due to a tremendous
rise in processing power and available GPU memory. Similar to main-memory
systems, there is a need for performant GPU-resident index structures to speed
up query processing. Unfortunately, mapping indexes efficiently to the highly
parallel and... | http://arxiv.org/abs/2303.01139v2 |
The problem of guiding a flock of several autonomous agents using repulsion
force exerted by a smaller number of agents is called the shepherding problem
and has been attracting attention due to its potential engineering
applications. Although several works propose methodologies for achieving the
shepherding task in th... | http://arxiv.org/abs/2304.03951v1 |
Partition selection, or set union, is an important primitive in
differentially private mechanism design: in a database where each user
contributes a list of items, the goal is to publish as many of these items as
possible under differential privacy. In this work, we present a novel mechanism
for differentially private ... | http://arxiv.org/abs/2301.01998v2 |
This work focuses on the problem of hyper-parameter tuning (HPT) for robust
(i.e., adversarially trained) models, shedding light on the new challenges and
opportunities arising during the HPT process for robust models. To this end, we
conduct an extensive experimental study based on 3 popular deep models, in
which we e... | http://arxiv.org/abs/2304.02497v3 |
We aim to reveal the sizes of the continuum and broad emission line (BEL)
emitting regions in the gravitationally lensed quasar SDSS J1004+4112 by
analyzing the unique signatures of microlensing in this system. Through a
comprehensive analysis of 20 spectroscopic observations acquired between 2003
and 2018, we studied ... | http://arxiv.org/abs/2310.11212v1 |
Vision transformers have been demonstrated to yield state-of-the-art results
on a variety of computer vision tasks using attention-based networks. However,
research works in transformers mostly do not investigate robustness/accuracy
trade-off, and they still struggle to handle adversarial perturbations. In this
paper, ... | http://arxiv.org/abs/2301.11553v1 |
The statistical properties of turbulent flows are fundamentally different
from those of systems at equilibrium due to the presence of an energy flux from
the scales of injection to those where energy is dissipated by the viscous
forces: a scenario dubbed "direct energy cascade". From a statistical mechanics
point of vi... | http://arxiv.org/abs/2310.07470v2 |
KOSMOS is a low-resolution, long-slit, optical spectrograph that has been
upgraded at the University of Washington for its move from Kitt Peak National
Observatory's Mayall 4m telescope to the Apache Point Observatory's ARC 3.5m
telescope. One of the additions to KOSMOS is a slitviewer, which requires the
fabrication o... | http://arxiv.org/abs/2302.08552v1 |
This paper describes the shortest path problem in weighted graphs and
examines the differences in efficiency that occur when using Dijkstra's
algorithm with a Fibonacci heap, binary heap, and self-balancing binary tree.
Using C++ implementations of these algorithm variants, we find that the fastest
method is not always... | http://arxiv.org/abs/2303.10034v2 |
The analytical exact iteration method (AEIM) have been used widely to
calculate N-dimensional radial Schrodinger equation with medium modified form
of Cornell potential and is generalized to the finite value of magnetic field
(eB) with quasi-particle approach in hot quantum chromodynamics (QCD) medium.
In N-dimensional... | http://arxiv.org/abs/2310.19896v1 |
This work presents a new depth- and semantics-aware conditional generative
model, named TITAN-Next, for cross-domain image-to-image translation in a
multi-modal setup between LiDAR and camera sensors. The proposed model
leverages scene semantics as a mid-level representation and is able to
translate raw LiDAR point clo... | http://arxiv.org/abs/2302.07661v4 |
It is known that local operators in quantum field theory transform in
representations of ordinary global symmetry groups. The purpose of this paper
is to generalise this statement to extended operators such as line and surface
defects. We explain that $(n-1)$-dimensional operators transform in
$n$-representations of a ... | http://arxiv.org/abs/2304.03789v2 |
For superheavy elements with atomic numbers $120\leq Z \leq 170$, the concept
of the ground-state configuration is being reexamined. To this end,
relativistic calculations of the electronic structure of the low-lying levels
are carried out by means of the Dirac-Fock and configuration-interaction
methods.The magnetic an... | http://arxiv.org/abs/2301.01740v1 |
Due to the powerful ability in capturing the global information, Transformer
has become an alternative architecture of CNNs for hyperspectral image
classification. However, general Transformer mainly considers the global
spectral information while ignores the multiscale spatial information of the
hyperspectral image. I... | http://arxiv.org/abs/2310.18550v1 |
Urban air mobility (UAM), as envisioned by aviation professionals, will
transport passengers and cargo at low altitudes within urban and suburban
areas. To operate in urban environments, precise air traffic management, in
particular the management of traffic overflows due to physical and operational
disruptions will be... | http://arxiv.org/abs/2306.05581v2 |
Great storytellers know how to take us on a journey. They direct characters
to act -- not necessarily in the most rational way -- but rather in a way that
leads to interesting situations, and ultimately creates an impactful experience
for audience members looking on.
If audience experience is what matters most, then ... | http://arxiv.org/abs/2305.16913v1 |
We conduct high-accuracy calculations of isotope shift (IS) factors of the
states involving the $D_1$ and $D_2$ lines in Zn II. Together with a global fit
to the available optical IS data, we extract nuclear-model-independent, precise
differential radii for a long chain of Zn isotopes. These radii are compared
with the... | http://arxiv.org/abs/2307.09092v1 |
We present SENS, a novel method for generating and editing 3D models from
hand-drawn sketches, including those of abstract nature. Our method allows
users to quickly and easily sketch a shape, and then maps the sketch into the
latent space of a part-aware neural implicit shape architecture. SENS analyzes
the sketch and... | http://arxiv.org/abs/2306.06088v2 |
Weak feature representation problem has influenced the performance of
few-shot classification task for a long time. To alleviate this problem, recent
researchers build connections between support and query instances through
embedding patch features to generate discriminative representations. However,
we observe that th... | http://arxiv.org/abs/2304.10093v3 |
We point out that a construction by Butkovi\v{c}ov\'a of a chain of length
$\mathfrak{c}^+$ in the Rudin-Frol\'ik order on $\beta\omega$ can easily be
adapted to produce, given an uncountable cardinal $\kappa$, a chain of length
$(2^\kappa)^+$ in the Rudin-Frol\'ik order on $\beta\kappa$. | http://arxiv.org/abs/2303.14252v1 |
Gradient methods have become mainstream techniques for Bi-Level Optimization
(BLO) in learning fields. The validity of existing works heavily rely on either
a restrictive Lower-Level Strong Convexity (LLSC) condition or on solving a
series of approximation subproblems with high accuracy or both. In this work,
by averag... | http://arxiv.org/abs/2302.03407v2 |
We present a machine learning approach using normalising flows for inferring
cosmological parameters from gravitational wave events. Our methodology is
general to any type of compact binary coalescence event and cosmological model
and relies on the generation of training data representing distributions of
gravitational... | http://arxiv.org/abs/2310.13405v2 |
The phase space dynamics generated by different orthogonal polynomial
self-interactions exhibited in higher order nonlinear Schr\"{o}dinger equation
(NLSE) are often less intuitive than those ofcubic and quintic nonlinearities.
Even for nonlinearities as simple as a cubic in NLSE, the dynamics for generic
initial state... | http://arxiv.org/abs/2308.06524v1 |
Redundant cascade manipulators actuated by pneumatic bellows actuators are
passively compliant, rugged and dexterous which are qualities making them
exceptionally well suited for applications in agriculture. Unfortunately
bellows actuators are notoriously difficult to precisely position. This paper
presents a novel con... | http://arxiv.org/abs/2306.10832v2 |
Because the Navier-Stokes equations are dissipative, the long-time dynamics
of a flow in state space are expected to collapse onto a manifold whose
dimension may be much lower than the dimension required for a resolved
simulation. On this manifold, the state of the system can be exactly described
in a coordinate system... | http://arxiv.org/abs/2301.04638v1 |
This paper introduces XFL, an industrial-grade federated learning project.
XFL supports training AI models collaboratively on multiple devices, while
utilizes homomorphic encryption, differential privacy, secure multi-party
computation and other security technologies ensuring no leakage of data. XFL
provides an abundan... | http://arxiv.org/abs/2302.05076v1 |
The Detector R&D Roadmap for European Particle Physics was published in
February 2022. The outcome of the Roadmap process relating to particle
identification and photon detectors is summarised. | http://arxiv.org/abs/2310.05267v1 |
A Two-Stage approach is described that literally "straighten outs" any
potentially nonlinear relationship between a y-outcome variable and each of p =
2 or more potential x-predictor variables. The y-outcome is then predicted from
all p of these "linearized" spline-predictors using the form of Generalized
Ridge Regress... | http://arxiv.org/abs/2306.07396v5 |
We study the linear stability of a planar interface separating two fluids in
relative motion, focusing on the symmetric configuration where the two fluids
have the same properties (density, temperature, magnetic field strength, and
direction). We consider the most general case with arbitrary sound speed
$c_{\rm s}$, Al... | http://arxiv.org/abs/2305.00036v2 |
Question answering (Q/A) can be formulated as a generative task (Mitra, 2017)
where the task is to generate an answer given the question and the passage
(knowledge, if available). Recent advances in QA task is focused a lot on
language model advancements and less on other areas such as sampling(Krishna et
al., 2021), (... | http://arxiv.org/abs/2305.18679v2 |
Two-dimensional band dispersion of (2$\times$2) superstructure with Bi grown
on Ag(111), which has been urged as an ultraflat hexagonal bismuthene, is
investigated using angle-resolved photoemission spectroscopy (ARPES). The
(2$\times$2)-Bi superstructure can be grown on the Ag(111) surface at low
temperatures; it tran... | http://arxiv.org/abs/2307.01551v3 |
We propose Encyclopedic-VQA, a large scale visual question answering (VQA)
dataset featuring visual questions about detailed properties of fine-grained
categories and instances. It contains 221k unique question+answer pairs each
matched with (up to) 5 images, resulting in a total of 1M VQA samples.
Moreover, our datase... | http://arxiv.org/abs/2306.09224v2 |
3D pose estimation offers the opportunity for fast, non-invasive, and
accurate motion analysis. This is of special interest also for clinical use.
Currently, motion capture systems are used, as they offer robust and precise
data acquisition, which is essential in the case of clinical applications. In
this study, we inv... | http://arxiv.org/abs/2306.06117v1 |
This paper introduces a general model called CIPNN - Continuous Indeterminate
Probability Neural Network, and this model is based on IPNN, which is used for
discrete latent random variables. Currently, posterior of continuous latent
variables is regarded as intractable, with the new theory proposed by IPNN this
problem... | http://arxiv.org/abs/2303.12964v1 |
Feature attribution methods have become a staple method to disentangle the
complex behavior of black box models. Despite their success, some scholars have
argued that such methods suffer from a serious flaw: they do not allow a
reliable interpretation in terms of human concepts. Simply put, visualizing an
array of feat... | http://arxiv.org/abs/2307.00897v3 |
This study presents a benchmark for evaluating action-constrained
reinforcement learning (RL) algorithms. In action-constrained RL, each action
taken by the learning system must comply with certain constraints. These
constraints are crucial for ensuring the feasibility and safety of actions in
real-world systems. We ev... | http://arxiv.org/abs/2304.08743v2 |
A key property of deep neural networks (DNNs) is their ability to learn new
features during training. This intriguing aspect of deep learning stands out
most clearly in recently reported Grokking phenomena. While mainly reflected as
a sudden increase in test accuracy, Grokking is also believed to be a beyond
lazy-learn... | http://arxiv.org/abs/2310.03789v3 |
In a network of coupled oscillators, a symmetry-broken dynamical state
characterized by the coexistence of coherent and incoherent parts can
spontaneously form. It is known as a chimera state. We study chimera states in
a network consisting of six populations of identical Kuramoto-Sakaguchi phase
oscillators. The popul... | http://arxiv.org/abs/2305.09774v1 |
Combinatorial algorithms are widely used for decision-making and knowledge
discovery, and it is important to ensure that their output remains stable even
when subjected to small perturbations in the input. Failure to do so can lead
to several problems, including costly decisions, reduced user trust, potential
security ... | http://arxiv.org/abs/2307.08213v1 |
In this paper we discuss a new variational approach to the Date Fusion
problem of multi-spectral satellite images from Sentinel-2 and MODIS that have
been captured at different resolution level and, arguably, on different days.
The crucial point of our approach that the MODIS image is cloud-free whereas
the images from... | http://arxiv.org/abs/2302.12495v1 |
We introduce the following generalization of set intersection via
characteristic vectors: for $n,q,s, t \ge 1$ a family $\mathcal{F}\subseteq
\{0,1,\dots,q\}^n$ of vectors is said to be \emph{$s$-sum $t$-intersecting} if
for any distinct $\mathbf{x},\mathbf{y}\in \mathcal{F}$ there exist at least
$t$ coordinates, where... | http://arxiv.org/abs/2305.01328v1 |
We report the experimental observation of the spin-wave moir\'e edge and
cavity modes using Brillouin light scattering spectro-microscopy in a
nanostructured magnetic moir\'e lattice consisting of two twisted triangle
antidot lattices based on an yttrium iron garnet thin film. Spin-wave moir\'e
edge modes are detected ... | http://arxiv.org/abs/2304.01001v1 |
An interpolation method for region-to-region acoustic transfer functions
(ATFs) based on kernel ridge regression with an adaptive kernel is proposed.
Most current ATF interpolation methods do not incorporate the acoustic
properties for which measurements are performed. Our proposed method is based
on a separate adaptat... | http://arxiv.org/abs/2303.03869v1 |
Technology has advanced dramatically in the previous several years. There are
also cyber assaults. Cyberattacks pose a possible danger to information
security and the general public. Since data practice and internet consumption
rates continue to upswing, cyber awareness has become progressively important.
Furthermore, ... | http://arxiv.org/abs/2310.12684v1 |
Intrusion detection systems (IDSs) built on artificial intelligence (AI) are
presented as latent mechanisms for actively detecting fresh attacks over a
complex network. Although review papers are used the systematic review or
simple methods to analyse and criticize the anomaly NIDS works, the current
review uses a trad... | http://arxiv.org/abs/2308.02805v2 |
In Collaborative Intelligence (CI), the Artificial Intelligence (AI) model is
divided between the edge and the cloud, with intermediate features being sent
from the edge to the cloud for inference. Several deep learning-based Semantic
Communication (SC) models have been proposed to reduce feature transmission
overhead ... | http://arxiv.org/abs/2310.08804v1 |
Large, transformer-based pretrained language models like BERT, GPT, and T5
have demonstrated a deep understanding of contextual semantics and language
syntax. Their success has enabled significant advances in conversational AI,
including the development of open-dialogue systems capable of coherent, salient
conversation... | http://arxiv.org/abs/2302.07926v1 |
In this paper, we prove that D'Alembert-Lagrange principle for point masses
using Lagrange-Mach's mechanical construction yields a weighted balancing
condition of unit vectors in $\mathbb{E}^{3}.$ | http://arxiv.org/abs/2307.05737v1 |
Computer-generated holography (CGH) can be used to display three-dimensional
(3D) images and has a special feature that no other technology possesses: it
can reconstruct arbitrary object wavefronts. In this study, we investigated a
high-speed full-color reconstruction method for improving the realism of 3D
images produ... | http://arxiv.org/abs/2310.10093v1 |
Existing language and vision models achieve impressive performance in
image-text understanding. Yet, it is an open question to what extent they can
be used for language understanding in 3D environments and whether they
implicitly acquire 3D object knowledge, e.g. about different views of an
object. In this paper, we in... | http://arxiv.org/abs/2302.10282v1 |
Spectral Toolkit of Algorithms for Graphs (STAG) is an open-source library
for efficient spectral graph algorithms, and its development starts in
September 2022. We have so far finished the component on local graph
clustering, and this technical report presents a user's guide to STAG, showcase
studies, and several tech... | http://arxiv.org/abs/2304.03170v1 |
We propose attribute-aware multimodal entity linking, where the input is a
mention described with a text and image, and the goal is to predict the
corresponding target entity from a multimodal knowledge base (KB) where each
entity is also described with a text description, a visual image and a set of
attributes and val... | http://arxiv.org/abs/2305.14725v1 |
Graph Neural Networks (GNNs) are neural models that leverage the dependency
structure in graphical data via message passing among the graph nodes. GNNs
have emerged as pivotal architectures in analyzing graph-structured data, and
their expansive application in sensitive domains requires a comprehensive
understanding of... | http://arxiv.org/abs/2310.01820v2 |
We describe a procedure for locating black hole horizons in Kerr-Schild
spacetimes in the double copy paradigm. Using only single- and zeroth-copy data
on flat spacetime, our procedure predicts the existence of trapped surfaces in
the double-copy gravitational solution. We show explicitly how this procedure
locates the... | http://arxiv.org/abs/2306.02417v1 |
The elasticity tensor that describes the elastic response of a material to
external forces is among the most fundamental properties of materials. The
availability of full elasticity tensors for inorganic crystalline compounds,
however, is limited due to experimental and computational challenges. Here, we
report the mat... | http://arxiv.org/abs/2307.15242v2 |
Long-tailed multi-label visual recognition (LTML) task is a highly
challenging task due to the label co-occurrence and imbalanced data
distribution. In this work, we propose a unified framework for LTML, namely
prompt tuning with class-specific embedding loss (LMPT), capturing the semantic
feature interactions between ... | http://arxiv.org/abs/2305.04536v2 |
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