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In the modern world, one of the most severe eye infections brought on by
diabetes is known as diabetic retinopathy, which will result in retinal damage,
and, thus, lead to blindness. Diabetic retinopathy can be well treated with
early diagnosis. Retinal fundus images of humans are used to screen for lesions
in the reti... | http://arxiv.org/abs/2305.04724v1 |
Acceleration of hadrons in relativistic shocks has been long expected and
invoked to model GRB high-energy photon and neutrino emissions. However, so far
there has been no direct observational evidence of hadronic emission from GRBs.
The B.O.A.T. ("brightest of all time") gamma-ray burst (GRB) 221009A had
extreme energ... | http://arxiv.org/abs/2310.11821v1 |
We propose a quantum soft-covering problem for a given general quantum
channel and one of its output states, which consists in finding the minimum
rank of an input state needed to approximate the given channel output. We then
prove a one-shot quantum covering lemma in terms of smooth min-entropies by
leveraging decoupl... | http://arxiv.org/abs/2306.12416v3 |
We establish necessary and sufficient conditions for the global
hypoellipticity of $G$-invariant operators on homogeneous vector bundles. These
criteria are established in terms of the corresponding matrix-valued symbols as
developed by Ruzhansky and Turunen and extended in [7] to homogeneous
vector-bundles. | http://arxiv.org/abs/2310.17288v3 |
NeSy4VRD is a multifaceted resource designed to support the development of
neurosymbolic AI (NeSy) research. NeSy4VRD re-establishes public access to the
images of the VRD dataset and couples them with an extensively revised,
quality-improved version of the VRD visual relationship annotations. Crucially,
NeSy4VRD provi... | http://arxiv.org/abs/2305.13258v1 |
Given the urgent need of simplifying the end-of-line tuning of complex
vehicle dynamics controllers, the Twin-in-the-Loop Control (TiL-C) approach was
recently proposed in the automotive field. In TiL-C, a digital twin is run
on-board to compute a nominal control action in run-time and an additional
block C_delta is us... | http://arxiv.org/abs/2309.02080v1 |
On social networks, algorithmic personalization drives users into filter
bubbles where they rarely see content that deviates from their interests. We
present a model for content curation and personalization that avoids filter
bubbles, along with algorithmic guarantees and nearly matching lower bounds. In
our model, the... | http://arxiv.org/abs/2305.14537v1 |
We formulate a data-driven method for constructing finite volume
discretizations of a dynamical system's underlying Continuity / Fokker-Planck
equation. A method is employed that allows for flexibility in partitioning
state space, generalizes to function spaces, applies to arbitrarily long
sequences of time-series data... | http://arxiv.org/abs/2304.03362v1 |
Text Simplification is an ongoing problem in Natural Language Processing,
solution to which has varied implications. In conjunction with the TSAR-2022
Workshop @EMNLP2022 Lexical Simplification is the process of reducing the
lexical complexity of a text by replacing difficult words with easier to read
(or understand) e... | http://arxiv.org/abs/2302.01823v1 |
The aim of this paper is to investigate the algebraic structure that appears
on $|3|-$gradings $\mathfrak{n}=\mathfrak{n}_{-3}\oplus \cdots \oplus
\mathfrak{n}_3$ of a complex simple Lie algebra $\mathfrak{n}$. In particular,
we completely determine the possible reductive algebras $\mathfrak{n}_0$ and
prove that the on... | http://arxiv.org/abs/2306.02605v1 |
The task of human pose estimation (HPE) deals with the ill-posed problem of
estimating the 3D position of human joints directly from images and videos. In
recent literature, most of the works tackle the problem mostly by using
convolutional neural networks (CNNs), which are capable of achieving
state-of-the-art results... | http://arxiv.org/abs/2302.06194v1 |
We describe the systems of the University of Alberta team for the
SemEval-2023 Visual Word Sense Disambiguation (V-WSD) Task. We present a novel
algorithm that leverages glosses retrieved from BabelNet, in combination with
text and image encoders. Furthermore, we compare language-specific encoders
against the applicati... | http://arxiv.org/abs/2306.14067v1 |
The existence of variable factors within the environment can cause a decline
in camera localization accuracy, as it violates the fundamental assumption of a
static environment in Simultaneous Localization and Mapping (SLAM) algorithms.
Recent semantic SLAM systems towards dynamic environments either rely solely on
2D s... | http://arxiv.org/abs/2310.06385v1 |
Attention models are typically learned by optimizing one of three standard
loss functions that are variously called -- soft attention, hard attention, and
latent variable marginal likelihood (LVML) attention. All three paradigms are
motivated by the same goal of finding two models -- a `focus' model that
`selects' the ... | http://arxiv.org/abs/2307.13421v5 |
AI requires heavy amounts of storage and compute with assets that are
commonly stored in AI Hubs. AI Hubs have contributed significantly to the
democratization of AI. However, existing implementations are associated with
certain benefits and limitations that stem from the underlying infrastructure
and governance system... | http://arxiv.org/abs/2306.04274v1 |
We study the electrothermal actuation of nanomechanical motion using a
combination of numerical simulations and analytical solutions. The
nanoelectrothermal actuator structure is a u-shaped gold nanoresistor that is
patterned on the anchor of a doubly-clamped nanomechanical beam or a
microcantilever resonator. This des... | http://arxiv.org/abs/2310.16196v1 |
We present a new paradigm for the dynamical simulation of interacting
many-boson open quantum systems. The method relies on a variational ansatz for
the $n$-boson density matrix, in terms of a superposition of photon-added
coherent states. It is most efficient for the simulation of driven-dissipative
systems where the ... | http://arxiv.org/abs/2306.13708v1 |
We study the phenomenology of leptophilic $Z'$ gauge bosons at the future
high-energy $e^+e^-$ and $\mu^+\mu^-$ colliders, as well as at the
gravitational wave observatories. The leptophilic $Z'$ model, although
well-motivated, remains largely unconstrained from current low-energy and
collider searches for $Z'$ masses ... | http://arxiv.org/abs/2308.12804v2 |
3D vision with real-time LiDAR-based point cloud data became a vital part of
autonomous system research, especially perception and prediction modules use
for object classification, segmentation, and detection. Despite their success,
point cloud-based network models are vulnerable to multiple adversarial
attacks, where ... | http://arxiv.org/abs/2301.11806v2 |
Existing research on human-AI collaborative decision-making focuses mainly on
the interaction between AI and individual decision-makers. There is a limited
understanding of how AI may perform in group decision-making. This paper
presents a wizard-of-oz study in which two participants and an AI form a
committee to rank ... | http://arxiv.org/abs/2302.08807v1 |
We report the effects of replacing the scaled dot-product (within softmax)
attention with the negative-log of Euclidean distance. This form of attention
simplifies to inverse distance weighting interpolation. Used in simple one
hidden layer networks and trained with vanilla cross-entropy loss on
classification problems... | http://arxiv.org/abs/2310.18805v2 |
The ability to reversibly toggle between two distinct states in a
non-volatile method is important for information storage applications. Such
devices have been realized for phase-change materials, which utilizes local
heating methods to toggle between a crystalline and an amorphous state with
distinct electrical proper... | http://arxiv.org/abs/2307.03154v1 |
In this paper we deal with the following problem: how does the structure of a
finite semigroup $S$ depend on the probability that two elements selected at
random from $S$, with replacement, define the same inner right translation of
$S$. We solve a subcase of this problem. As the main result of the paper, we
show how t... | http://arxiv.org/abs/2310.10281v1 |
Strain correlation functions in two-dimensional isotropic elastic bodies are
shown both theoretically (using the general structure of isotropic tensor
fields) and numerically (using a glass-forming model system) to depend on the
coordinates of the field variable (position vector r in real space or
wavevector q in recip... | http://arxiv.org/abs/2303.16910v3 |
TD-MPC is a model-based reinforcement learning (RL) algorithm that performs
local trajectory optimization in the latent space of a learned implicit
(decoder-free) world model. In this work, we present TD-MPC2: a series of
improvements upon the TD-MPC algorithm. We demonstrate that TD-MPC2 improves
significantly over ba... | http://arxiv.org/abs/2310.16828v2 |
Large language models (LLMs) have demonstrated impressive zero-shot abilities
on a variety of open-ended tasks, while recent research has also explored the
use of LLMs for multi-modal generation. In this study, we introduce mPLUG-Owl,
a novel training paradigm that equips LLMs with multi-modal abilities through
modular... | http://arxiv.org/abs/2304.14178v3 |
We prove that the ideal in complex cobordism ring $\MU^*$ generated by the
polynomial generators $S=(x_1, x_k, k\geq 3)$ of $c_1$-spherical cobordism ring
$W^*$, viewed as elements in $\MU^*$ by forgetful map is prime. Using the
Baas-Sullivan theory of cobordism with singularities we define a commutative
complex orient... | http://arxiv.org/abs/2306.02163v2 |
Hyperparameters of Deep Learning (DL) pipelines are crucial for their
downstream performance. While a large number of methods for Hyperparameter
Optimization (HPO) have been developed, their incurred costs are often
untenable for modern DL. Consequently, manual experimentation is still the most
prevalent approach to op... | http://arxiv.org/abs/2306.12370v2 |
Large language models (LLMs) are increasingly adopted for a variety of tasks
with implicit graphical structures, such as planning in robotics, multi-hop
question answering or knowledge probing, structured commonsense reasoning, and
more. While LLMs have advanced the state-of-the-art on these tasks with
structure implic... | http://arxiv.org/abs/2305.10037v3 |
Definable subcategories may be extended along a ring homomorphism directly,
by using their defining conditions in the new module category, or by tensoring
up with the new ring. We investigate what is preserved and reflected by these
processes. On the way, we introduce the notion of being atomic with respect to
a bimodu... | http://arxiv.org/abs/2305.08678v1 |
Visuals can enhance our experience of music, owing to the way they can
amplify the emotions and messages conveyed within it. However, creating music
visualization is a complex, time-consuming, and resource-intensive process. We
introduce Generative Disco, a generative AI system that helps generate music
visualizations ... | http://arxiv.org/abs/2304.08551v2 |
6D object pose estimation is a crucial prerequisite for autonomous robot
manipulation applications. The state-of-the-art models for pose estimation are
convolutional neural network (CNN)-based. Lately, Transformers, an architecture
originally proposed for natural language processing, is achieving
state-of-the-art resul... | http://arxiv.org/abs/2307.11550v1 |
We consider the problem of detecting whether a power-law inhomogeneous random
graph contains a geometric community, and we frame this as an hypothesis
testing problem. More precisely, we assume that we are given a sample from an
unknown distribution on the space of graphs on n vertices. Under the null
hypothesis, the s... | http://arxiv.org/abs/2303.02965v1 |
Rapidly outflowing cold H-I gas is ubiquitously observed to be co-spatial
with a hot phase in galactic winds, yet the ablation time of cold gas by the
hot phase should be much shorter than the acceleration time. Previous work
showed efficient radiative cooling enables clouds to survive in hot galactic
winds under certa... | http://arxiv.org/abs/2304.09897v2 |
We deal with a wide class of generalized nonlocal $p$-Laplace equations,
so-called nonlocal $G$-Laplace equations, in the Heisenberg framework. Under
natural hypotheses on the $N$-function $G$, we provide a unified approach to
investigate in the spirit of De Giorgi-Nash-Moser theory, some local properties
of weak solut... | http://arxiv.org/abs/2307.01743v1 |
For companies producing related products, a Software Product Line (SPL) is a
software reuse method that improves time-to-market and software quality,
achieving substantial cost reductions.These benefits do not come for free. It
often takes years to re-architect and re-engineer a codebase to support SPL
and, once adopte... | http://arxiv.org/abs/2307.10896v1 |
We present analysis of 63 nearby ($<$ 44 Mpc) early-type galaxies hosting
nuclear star clusters using the recently discovered parameter Central Intensity
Ratio (CIR$_I$) determined from near-infra-red (3.6 $\mu$m) observations with
the Infra-red-array-camera of \emph{Spitzer} space telescope. The CIR$_I$, when
combined... | http://arxiv.org/abs/2302.12687v1 |
Statistical divergences quantify the difference between probability
distributions, thereby allowing for multiple uses in machine-learning. However,
a fundamental challenge of these quantities is their estimation from empirical
samples since the underlying distributions of the data are usually unknown. In
this work, we ... | http://arxiv.org/abs/2305.16446v3 |
In this paper we propose the Ray-Patch querying, a novel model to efficiently
query transformers to decode implicit representations into target views. Our
Ray-Patch decoding reduces the computational footprint and increases inference
speed up to one order of magnitude compared to previous models, without losing
global ... | http://arxiv.org/abs/2305.09566v2 |
In this work, we have abstractly generalized the similarity law for
multidimensional vectors. Initially, the law of similarity was derived for
one-dimensional vectors. Although it operated with such values of the ratio of
parts of the whole, it meant linear dimensions (a line is one-dimensionality).
The concept of the ... | http://arxiv.org/abs/2302.02494v1 |
In this paper, the application of quantum simulations and quantum machine
learning to solve low-energy nuclear physics problems is explored. The use of
quantum computing to deal with nuclear physics problems is, in general, in its
infancy and, in particular, the use of quantum machine learning in the realm of
nuclear p... | http://arxiv.org/abs/2307.07332v1 |
Machine learning society has witnessed the emergence of a myriad of
Out-of-Distribution (OoD) algorithms, which address the distribution shift
between the training and the testing distribution by searching for a unified
predictor or invariant feature representation. However, the task of directly
mitigating the distribu... | http://arxiv.org/abs/2306.08328v1 |
Owing to the extensive application of infrared object detectors in the
safety-critical tasks, it is necessary to evaluate their robustness against
adversarial examples in the real world. However, current few physical infrared
attacks are complicated to implement in practical application because of their
complex transfo... | http://arxiv.org/abs/2303.13868v1 |
The rapid expansion of Internet of Things (IoT) devices in smart homes has
significantly improved the quality of life, offering enhanced convenience,
automation, and energy efficiency. However, this proliferation of connected
devices raises critical concerns regarding security and privacy of the user
data. In this pape... | http://arxiv.org/abs/2304.07676v3 |
Intrusion detection systems (IDSs) are essential elements of IT systems.
Their key component is a classification module that continuously evaluates some
features of the network traffic and identifies possible threats. Its efficiency
is greatly affected by the right selection of the features to be monitored.
Therefore, ... | http://arxiv.org/abs/2307.11544v1 |
The problem of finding the largest finite group with a certain class number
(number of conjugacy classes), $k(G)$, has been investigated by a number of
researchers since the early 1900's and has been solved by computer for $k(G)
\leq 9$. (For the restriction to simple groups for $k(G) \leq 12$.) One has
also tried to f... | http://arxiv.org/abs/2308.08848v1 |
We present an innovative concept for quantum-enhanced multiparameter optical
phase sensing that can be implemented in free space, optical fiber or on-chip.
Our measurable phases are in series, or cascaded, enabling measurements as a
function of position with only a single input and output. We have modeled up to
20 phas... | http://arxiv.org/abs/2304.08545v1 |
With the rapid deployment of quantum computers and quantum satellites, there
is a pressing need to design and deploy quantum and hybrid classical-quantum
networks capable of exchanging classical information. In this context, we
conduct the foundational study on the impact of a mixture of classical and
quantum noise on ... | http://arxiv.org/abs/2306.16102v1 |
Given a (machine learning) classifier and a collection of unlabeled data, how
can we efficiently identify misclassification patterns presented in this
dataset? To address this problem, we propose a human-machine collaborative
framework that consists of a team of human annotators and a sequential
recommendation algorith... | http://arxiv.org/abs/2306.00760v1 |
We consider the general dimensionality reduction problem of locating in a
high-dimensional data cloud, a $k$-dimensional non-Gaussian subspace of
interesting features. We use a projection pursuit approach -- we search for
mutually orthogonal unit directions which maximise the 2-Wasserstein distance
of the empirical dis... | http://arxiv.org/abs/2302.12693v1 |
We investigate the effects of fibre morphologies, such as single and granular
chain with torus bead on liquid film evolution using experimental and
axi-symmetric numerical simulations with a one-fluid formulation. We introduce
a non-dimensional parameter 'Bead Ratio'($BR$), that is, the ratio of bead
diameter to the fi... | http://arxiv.org/abs/2310.12482v1 |
This paper presents the latest improvements introduced in Version 4 of the
UQpy, Uncertainty Quantification with Python, library. In the latest version,
the code was restructured to conform with the latest Python coding conventions,
refactored to simplify previous tightly coupled features, and improve its
extensibility... | http://arxiv.org/abs/2305.09572v1 |
In this paper, we generalize modal $\mu$-calculus to the non-distributive
(lattice-based) modal $\mu$-calculus and formalize some scenarios regarding
categorization using it. We also provide a game semantics for the developed
logic. The proof of adequacy of this game semantics proceeds by generalizing
the unfolding gam... | http://arxiv.org/abs/2310.13944v3 |
We develop the theory of strong and commutative monads in the 2-dimensional
setting of bicategories. This provides a framework for the analysis of effects
in many recent models which form bicategories and not categories, such as those
based on profunctors, spans, or strategies over games.
We then show how the 2-dimen... | http://arxiv.org/abs/2304.11014v3 |
In this work we propose a pragmatic method that reduces the annotation cost
for structured label spaces using active learning. Our approach leverages
partial annotation, which reduces labeling costs for structured outputs by
selecting only the most informative sub-structures for annotation. We also
utilize self-trainin... | http://arxiv.org/abs/2305.12634v2 |
In many physical situations, there appears the problem of reaching a single
target that is spatially distributed. Here we analyse how stochastic resetting,
also spatially distributed, can be used to improve the search process when the
target location is quenched, i.e. it does not evolve in time. More
specifically, we c... | http://arxiv.org/abs/2305.14245v2 |
Recent secure aggregation protocols enable privacy-preserving federated
learning for high-dimensional models among thousands or even millions of
participants. Due to the scale of these use cases, however, end-to-end
empirical evaluation of these protocols is impossible. We present OLYMPIA, a
framework for empirical eva... | http://arxiv.org/abs/2302.10084v2 |
Ground-glass opacity is a hallmark of numerous lung diseases, including
patients with COVID19 and pneumonia, pulmonary fibrosis, and tuberculosis. This
brief note presents experimental results of a proof-of-concept framework that
got implemented and tested over three days as driven by the third challenge
entitled "COVI... | http://arxiv.org/abs/2303.16904v2 |
Hardware-aware Neural Architecture Search (NAS) technologies have been
proposed to automate and speed up model design to meet both quality and
inference efficiency requirements on a given hardware. Prior arts have shown
the capability of NAS on hardware specific network design. In this whitepaper,
we further extend the... | http://arxiv.org/abs/2305.03739v1 |
In this paper we present a new method for deriving It\^{o} stochastic delay
differential equations (SDDEs) from delayed chemical master equations (DCMEs).
Considering alternative formulations of SDDEs that can be derived from the same
DCME, we prove that they are equivalent both in distribution, and in sample
paths the... | http://arxiv.org/abs/2305.04056v1 |
The study of charged particle dynamics in the combined gravitational and
magnetic field can provide important theoretical insight into astrophysical
processes around black holes. In this paper, we explore the charged particle
dynamics in parabolic magnetic field configuration around Schwarzschild black
hole, since the ... | http://arxiv.org/abs/2304.13603v1 |
For $n$ a power of two, we give a complete description of the cohomology
algebra $H^*(\widetilde G_{n,3};\mathbb Z_2)$ of the Grassmann manifold
$\widetilde G_{n,3}$ of oriented $3$-planes in $\mathbb R^n$. We do this by
finding a reduced Gr\"obner basis for an ideal closely related to this
cohomology algebra. Using th... | http://arxiv.org/abs/2306.05618v1 |
The Internet is going through a massive infrastructural revolution with the
advent of low-flying satellite networks, 5/6G, WiFi7, and hollow-core fiber
deployments. While these networks could unleash enhanced connectivity and new
capabilities, it is critical to understand the performance characteristics to
efficiently ... | http://arxiv.org/abs/2310.11835v1 |
Organic/inorganic hybrid systems offer great potential for novel solar cell
design combining the tunability of organic chromophore absorption properties
with high charge carrier mobilities of inorganic semiconductors. However, often
such material combinations do not show the expected performance: while ZnO, for
example... | http://arxiv.org/abs/2307.05257v2 |
Metaverse enables users to communicate, collaborate and socialize with each
other through their digital avatars. Due to the spatio-temporal
characteristics, co-located users are served well by performing their software
components in a collaborative manner such that a Metaverse service provider
(MSP) eliminates redundan... | http://arxiv.org/abs/2308.04914v1 |
The dynamics of neuron populations commonly evolve on low-dimensional
manifolds. Thus, we need methods that learn the dynamical processes over neural
manifolds to infer interpretable and consistent latent representations. We
introduce a representation learning method, MARBLE, that decomposes on-manifold
dynamics into l... | http://arxiv.org/abs/2304.03376v4 |
We present superconducting quantum circuits which exhibit atomic energy
spectrum and selection rules as ladder and lambda three-level configurations
designed by means of genetic algorithms. These heuristic optimization
techniques are employed for adapting the topology and the parameters of a set
of electrical circuits ... | http://arxiv.org/abs/2302.01837v1 |
We introduce Functional Diffusion Processes (FDPs), which generalize
score-based diffusion models to infinite-dimensional function spaces. FDPs
require a new mathematical framework to describe the forward and backward
dynamics, and several extensions to derive practical training objectives. These
include infinite-dimen... | http://arxiv.org/abs/2303.00800v3 |
Trajectory data has the potential to greatly benefit a wide-range of
real-world applications, such as tracking the spread of the disease through
people's movement patterns and providing personalized location-based services
based on travel preference. However, privay concerns and data protection
regulations have limited... | http://arxiv.org/abs/2302.06180v3 |
We show exactly that standard `invariants' advocated to define topology for
non-interacting systems deviate strongly from the Hall conductance whenever the
excitation spectrum contains zeros of the single-particle Green function, $G$,
as in general strongly correlated systems. Namely, we show that if the chemical
poten... | http://arxiv.org/abs/2305.02341v1 |
This draft paper presents a workflow for creating User Personas with Large
Language Models, using the results of a Thematic Analysis of qualitative
interviews. The proposed workflow uses improved prompting and a larger pool of
Themes, compared to previous work conducted by the author for the same task.
This is possible... | http://arxiv.org/abs/2310.06391v1 |
The Einstein Equivalence Principle (EEP) is a cornerstone of general
relativity and predicts the existence of gravitational redshift. We report on
new results of measuring this shift with RadioAstron (RA), a space VLBI
spacecraft launched into an evolving high eccentricity orbit around Earth with
geocentric distances r... | http://arxiv.org/abs/2307.13435v1 |
Topic models are used to make sense of large text collections. However,
automatically evaluating topic model output and determining the optimal number
of topics both have been longstanding challenges, with no effective automated
solutions to date. This paper proposes using large language models to evaluate
such output.... | http://arxiv.org/abs/2305.12152v2 |
Digital images contain a lot of redundancies, therefore, compression
techniques are applied to reduce the image size without loss of reasonable
image quality. Same become more prominent in the case of videos which contains
image sequences and higher compression ratios are achieved in low throughput
networks. Assessment... | http://arxiv.org/abs/2305.09214v1 |
We consider the problem of learning a directed graph $G^\star$ from
observational data. We assume that the distribution which gives rise to the
samples is Markov and faithful to the graph $G^\star$ and that there are no
unobserved variables. We do not rely on any further assumptions regarding the
graph or the distribut... | http://arxiv.org/abs/2305.06127v1 |
High-fidelity simulators that connect theoretical models with observations
are indispensable tools in many sciences. When coupled with machine learning, a
simulator makes it possible to infer the parameters of a theoretical model
directly from real and simulated observations without explicit use of the
likelihood funct... | http://arxiv.org/abs/2306.07769v2 |
Hyperdimensional computing (HDC) has become popular for light-weight and
energy-efficient machine learning, suitable for wearable Internet-of-Things
(IoT) devices and near-sensor or on-device processing. HDC is computationally
less complex than traditional deep learning algorithms and achieves moderate to
good classifi... | http://arxiv.org/abs/2305.19007v2 |
Magnetic noise of atomic nuclear spins is a major problem for solid state
spin qubits. Highly-polarized nuclei would not only overcome this obstacle, but
also make nuclear spins a useful quantum information resource. However,
achieving sufficiently high nuclear polarizations has remained an evasive goal.
Here we implem... | http://arxiv.org/abs/2302.05489v1 |
Timely feedback is an important part of teaching and learning. Here we
describe how a readily available neural network transformer (machine-learning)
model (BERT) can be used to give feedback on the structure of the response to
an abstracting exercise where students are asked to summarise the contents of a
published ar... | http://arxiv.org/abs/2305.18319v1 |
We investigate what can be concluded about a quantum system when sequential
quantum measurements of its observable -- a prominent example of the so-called
quantum stochastic process -- fulfill the Kolmogorov consistency condition and
thus appear to an observer as a sampling of a classical trajectory. We identify
a set ... | http://arxiv.org/abs/2304.07110v4 |
Near-Earth space continues to be the focus of critical services and
capabilities provided to the society. With the steady increase of space
traffic, the number of Resident Space Objects (RSOs) has recently boomed in the
context of growing concern due to space debris. The need of a holistic and
unified approach for addr... | http://arxiv.org/abs/2310.14795v4 |
SMSS\,J114447.77-430859.3 ($z=0.83$) has been identified in the SkyMapper
Southern Survey as the most luminous quasar in the last $\sim 9\,\rm Gyr$. In
this paper, we report on the eROSITA/Spectrum-Roentgen-Gamma (SRG) observations
of the source from the eROSITA All Sky Survey, along with presenting results
from recent... | http://arxiv.org/abs/2305.10745v1 |
The concept of quarkyonic matter presents a promising alternative to the
conventional models used to describe high-density matter and provides a more
nuanced and detailed understanding of the properties of matter under extreme
conditions that exist in astrophysical bodies. The aim of this study is to
showcase the effec... | http://arxiv.org/abs/2304.08223v2 |
The loop quantization of the conformal Brans-Dicke cosmology is explored in
the spatially flat and Bianchi-I setting. The scalar and conformal constraints
governing the canonical model are quantized using the loop techniques. The
physical Hilbert space of quantum spacetimes satisfying both quantum
constraints is then o... | http://arxiv.org/abs/2307.11222v2 |
Prompting is now a dominant method for evaluating the linguistic knowledge of
large language models (LLMs). While other methods directly read out models'
probability distributions over strings, prompting requires models to access
this internal information by processing linguistic input, thereby implicitly
testing a new... | http://arxiv.org/abs/2305.13264v2 |
Building a multi-field theory with canonical and non-canonical contributions,
one studies the topological solitons of the O(3)-sigma model. We propose a
model constituted by the O(3)-sigma field, the cuscuton-like neutral scalar
field, and Maxwell's field. We investigate BPS properties considering a theory
without inte... | http://arxiv.org/abs/2301.01397v2 |
This paper study provides a novel contribution to the field of signal
processing and DL for ECG signal analysis by introducing a new feature
representation method for ECG signals. The proposed method is based on
transforming time frequency 1D vectors into 2D images using Gramian Angular
Field transform. Moving on, the ... | http://arxiv.org/abs/2308.02395v1 |
Accurate thermodynamic stability predictions enable data-driven computational
materials design. Standard density functional theory (DFT) approximations have
limited accuracy with average errors of a few hundred meV/atom for ionic
materials such as oxides and nitrides. Thus, insightful correction schemes as
given by the... | http://arxiv.org/abs/2310.18187v1 |
We review recent results on the study of the isoperimetric problem on
Riemannian manifolds with Ricci lower bounds. We focus on the validity of sharp
second order differential inequalities satisfied by the isoperimetric profile
of possibly noncompact Riemannian manifolds with Ricci lower bounds. We give a
self-containe... | http://arxiv.org/abs/2303.11925v2 |
The original Leader-Follower (LF) model partitions all agents whose opinion
is a number in $[-1,1]$ to a follower group, a leader group with a positive
target opinion in $[0,1]$ and a leader group with a negative target opinion in
$[-1,0]$. A leader group agent has a constant degree to its target and mixes it
with the ... | http://arxiv.org/abs/2307.02510v1 |
Despite recent advances, evaluating how well large language models (LLMs)
follow user instructions remains an open problem. While evaluation methods of
language models have seen a rise in prompt-based approaches, limited work on
the correctness of these methods has been conducted. In this work, we perform a
meta-evalua... | http://arxiv.org/abs/2310.08394v2 |
Click-Through Rate (CTR) prediction serves as a fundamental component in
online advertising. A common practice is to train a CTR model on advertisement
(ad) impressions with user feedback. Since ad impressions are purposely
selected by the model itself, their distribution differs from the inference
distribution and thu... | http://arxiv.org/abs/2306.03527v1 |
Magnetic atoms in a thin layer have repulsive interactions when their
magnetic moments are aligned perpendicular to the layer. We show experimentally
and theoretically how this can suppress dipolar relaxation, the dominant loss
process in spin mixtures of highly magnetic atoms. Using dysprosium, we observe
an order of ... | http://arxiv.org/abs/2303.06281v1 |
Schizophrenia (SZ) is a brain disorder leading to detached mind's normally
integrated processes. Hence, the exploration of the symptoms in relation to
functional connectivity (FC) had great relevance in the field. FC can be
investigated on different levels, going from global features to single edges
between regions, re... | http://arxiv.org/abs/2305.02369v2 |
We introduce grlic, a publicly available Python tool for generating
glass-like point distributions with a radial density profile $n(r)$ as it is
observed in large-scale surveys of galaxy distributions on the past light cone.
Utilising these glass-like catalogues, we assess the bias and variance of the
Landy-Szalay (LS)... | http://arxiv.org/abs/2304.02040v3 |
It is often desirable to know the controlling mechanism of survival
probability of nano - or microscale particles in small cavities such as, e.g.,
confined submicron particles in fiber beds of high-efficiency filter media or
ions/small molecules in confined cellular structures. Here we address this
issue based on numer... | http://arxiv.org/abs/2303.16092v1 |
Policy-based algorithms are among the most widely adopted techniques in
model-free RL, thanks to their strong theoretical groundings and good
properties in continuous action spaces. Unfortunately, these methods require
precise and problem-specific hyperparameter tuning to achieve good performance,
and tend to struggle ... | http://arxiv.org/abs/2306.07741v1 |
Optomechanical cavities are powerful tools for classical and quantum
information processing that can be realized using nanophotonic structures that
co-localize optical and mechanical resonances. Typically, phononic localization
requires suspended devices that forbid vertical leakage of mechanical energy.
Achieving this... | http://arxiv.org/abs/2302.04967v1 |
An open source software package for simulating thermal neutron propagation in
geometry is presented. In this system, neutron propagation can be treated by
either the particle transport method or the ray-tracing method. Supported by an
accurate backend scattering physics engine, this system is capable of
reproducing neu... | http://arxiv.org/abs/2304.06226v2 |
We identify and overcome two key obstacles in extending the success of
BERT-style pre-training, or the masked image modeling, to convolutional
networks (convnets): (i) convolution operation cannot handle irregular,
random-masked input images; (ii) the single-scale nature of BERT pre-training
is inconsistent with convne... | http://arxiv.org/abs/2301.03580v2 |
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