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The characteristic function of row contractions and liftings of row
contractions are complete invariants up to unitary equivalence for row
contractions and liftings of row contractions, respectively. We provide
alternate proofs for these using colligations. A class of co-isometric
observable colligations with input spa... | http://arxiv.org/abs/2301.13811v1 |
To improve word representation learning, we propose a probabilistic prior
which can be seamlessly integrated with word embedding models. Different from
previous methods, word embedding is taken as a probabilistic generative model,
and it enables us to impose a prior regularizing word representation learning.
The propos... | http://arxiv.org/abs/2309.11824v1 |
We give a complete answer to the rationality problem (up to stable
$k$-equivalence) for norm one tori $T=R^{(1)}_{K/k}(\mathbb{G}_m)$ of $K/k$
whose Galois closures $L/k$ are $A_5\simeq {\rm PSL}_2(\mathbb{F}_4)$ and ${\rm
PSL}_2(\mathbb{F}_8)$ extensions. In particular, we prove that $T$ is stably
$k$-rational for $G=... | http://arxiv.org/abs/2309.16187v3 |
This paper introduces quantum computing methods for Monte Carlo simulations
in power systems which are expected to be exponentially faster than their
classical computing counterparts. Monte Carlo simulations is a fundamental
method, widely used in power systems to estimate key parameters of unknown
probability distribu... | http://arxiv.org/abs/2309.17299v1 |
We propose Audio-Visual Lightweight ITerative model (AVLIT), an effective and
lightweight neural network that uses Progressive Learning (PL) to perform
audio-visual speech separation in noisy environments. To this end, we adopt the
Asynchronous Fully Recurrent Convolutional Neural Network (A-FRCNN), which has
shown suc... | http://arxiv.org/abs/2306.00160v1 |
Modern web services increasingly rely on REST APIs. Effectively testing these
APIs is challenging due to the vast search space to be explored, which involves
selecting API operations for sequence creation, choosing parameters for each
operation from a potentially large set of parameters, and sampling values from
the vi... | http://arxiv.org/abs/2309.04583v1 |
Mixing of finite time-homogeneous Markov chains is well understood nowadays,
with a rich set of techniques to estimate their mixing time. In this paper, we
study the mixing time of random walks in dynamic random environments. To that
end, we propose a concept of mixing time for time-inhomogeneous Markov chains.
We then... | http://arxiv.org/abs/2309.14790v1 |
Spatial mapping of biodiversity is crucial to investigate spatial variations
in natural communities. Several indices have been proposed in the literature to
represent biodiversity as a single statistic. However, these indices only
provide information on individual dimensions of biodiversity, thus failing to
grasp its c... | http://arxiv.org/abs/2309.14948v1 |
In this paper, we propose a method to automatically and efficiently tune
high-dimensional vectors of controller parameters. The proposed method first
learns a mapping from the high-dimensional controller parameter space to a
lower dimensional space using a machine learning-based algorithm. This mapping
is then utilized... | http://arxiv.org/abs/2309.12487v1 |
Epistemic protocols represents a current field of interest, with numerous
approaches still being studied. In this paper we formalize parallel sessions of
the The Muddy Children Puzzle using Public Observation Logic, a system that
allows epistemic update. We consider agents with roles in multiple sessions and
the inform... | http://arxiv.org/abs/2309.13799v1 |
Clean-label (CL) attack is a form of data poisoning attack where an adversary
modifies only the textual input of the training data, without requiring access
to the labeling function. CL attacks are relatively unexplored in NLP, as
compared to label flipping (LF) attacks, where the latter additionally requires
access to... | http://arxiv.org/abs/2305.19607v1 |
We show that for certain sequences escaping to infinity in the
$\operatorname{SL}_3\mathbb{R}$ Hitchin component, growth rates of trace
functions are described by natural Finsler metrics. More specifically, as the
Labourie-Loftin cubic differential gets big, logarithms of trace functions are
approximated by lengths in ... | http://arxiv.org/abs/2309.10290v1 |
Adhesion is a fundamental phenomenon that plays a role in many engineering
and biological applications. This paper concerns the use of machine learning to
characterize the effective adhesive properties when a thin film is peeled from
a heterogeneous substrate. There has been recent interest in the use of machine
learni... | http://arxiv.org/abs/2309.00083v1 |
Symbolic regression, as one of the most crucial tasks in AI for science,
discovers governing equations from experimental data. Popular approaches based
on genetic programming, Monte Carlo tree search, or deep reinforcement learning
learn symbolic regression from a fixed dataset. They require massive datasets
and long t... | http://arxiv.org/abs/2309.07934v1 |
Can an $\mathbb{R}^n\rightarrow \mathbb{R}^n$ feedforward network learn
matrix-vector multiplication? This study introduces two mechanisms - flexible
masking to take matrix inputs, and a unique network pruning to respect the
mask's dependency structure. Networks can approximate fixed operations such as
matrix-vector mu... | http://arxiv.org/abs/2309.06382v2 |
Automatic music transcription (AMT) is one of the most challenging tasks in
the music information retrieval domain. It is the process of converting an
audio recording of music into a symbolic representation containing information
about the notes, chords, and rhythm. Current research in this domain focuses on
developing... | http://arxiv.org/abs/2305.00426v1 |
Generative molecular design has moved from proof-of-concept to real-world
applicability, as marked by the surge in very recent papers reporting
experimental validation. Key challenges in explainability and sample efficiency
present opportunities to enhance generative design to directly optimize
expensive high-fidelity ... | http://arxiv.org/abs/2309.13957v2 |
In this paper, we study the value sets of non-permutation polynomial
functions over the residue class ring $\mathbb{Z}/m\mathbb{Z}$. When $m=p^r$ is
a power of some prime $p$, an upper bound is given for the size of the value
set of a polynomial function which is not a permutation. We also show that this
upper bound ca... | http://arxiv.org/abs/2310.20226v1 |
We study the effect of tokenization on gender bias in machine translation, an
aspect that has been largely overlooked in previous works. Specifically, we
focus on the interactions between the frequency of gendered profession names in
training data, their representation in the subword tokenizer's vocabulary, and
gender ... | http://arxiv.org/abs/2309.12491v2 |
In this article, we investigate scalar field cosmology in the coincident
$f(Q)$ gravity formalism. We calculate the motion equations of $f(Q)$ gravity
under the flat Friedmann-Lema\^{i}tre-Robertson-Walker background in the
presence of a scalar field. We consider a non-linear $f(Q)$ model, particularly
$f(Q)=-Q+\alpha ... | http://arxiv.org/abs/2309.11198v1 |
Efficiently counting or detecting defective items is a crucial task in
various fields ranging from biological testing to quality control to streaming
algorithms. The \emph{group testing estimation problem} concerns estimating the
number of defective elements $d$ in a collection of $n$ total within a given
factor. We pr... | http://arxiv.org/abs/2309.10286v2 |
In this paper, we introduce a new heuristics for global optimization in
scenarios where extensive evaluations of the cost function are expensive,
inaccessible, or even prohibitive. The method, which we call
Landscape-Sketch-and-Step (LSS), combines Machine Learning, Stochastic
Optimization, and Reinforcement Learning t... | http://arxiv.org/abs/2309.07936v3 |
In observational studies, the true causal model is typically unknown and
needs to be estimated from available observational and limited experimental
data. In such cases, the learned causal model is commonly represented as a
partially directed acyclic graph (PDAG), which contains both directed and
undirected edges indic... | http://arxiv.org/abs/2302.14386v1 |
Due to the scarcity of annotated data in the medical domain, few-shot
learning may be useful for medical image analysis tasks. We design a few-shot
learning method using an ensemble of random subspaces for the diagnosis of
chest x-rays (CXRs). Our design is computationally efficient and almost 1.8
times faster than met... | http://arxiv.org/abs/2309.00081v1 |
We evaluate Julia as a single language and ecosystem paradigm powered by LLVM
to develop workflow components for high-performance computing. We run a
Gray-Scott, 2-variable diffusion-reaction application using a memory-bound,
7-point stencil kernel on Frontier, the US Department of Energy's first
exascale supercomputer... | http://arxiv.org/abs/2309.10292v3 |
The Cauchy dual subnormality problem has attracted the attention of the
researchers in recent years. In this article, we describe the problem and
present a new counter example to the problem by constructing a family of
analytic, cyclic 2-isometric operators whose Cauchy dual is not subnormal. The
said example is in con... | http://arxiv.org/abs/2309.03588v1 |
We study sparse domination for operators defined with respect to an atomic
filtration on a space equipped with a general measure $\mu$. In the case of
Haar shifts, $L^p$-boundedness is known to require a weak regularity condition,
which we prove to be sufficient to have a sparse domination-like theorem. Our
result allo... | http://arxiv.org/abs/2309.13943v1 |
In the present study, we investigate and compare reasoning in large language
models (LLM) and humans using a selection of cognitive psychology tools
traditionally dedicated to the study of (bounded) rationality. To do so, we
presented to human participants and an array of pretrained LLMs new variants of
classical cogni... | http://arxiv.org/abs/2309.12485v1 |
Two-dimensional Janus transition metal dichalcogenides (TMDs) have attracted
attention due to their emergent properties arising from broken mirror symmetry
and self-driven polarisation fields. While it has been proposed that their vdW
superlattices hold the key to achieving superior properties in piezoelectricity
and p... | http://arxiv.org/abs/2306.00162v1 |
Cascaded Compton scattering and Breit-Wheeler (BW) processes play fundamental
roles in high-energy astrophysical sources and laser-driven quantum
electrodynamics (QED) plasmas. A thorough comprehension of the polarization
transfer in these cascaded processes is essential for elucidating the
polarization mechanism of hi... | http://arxiv.org/abs/2307.16401v2 |
In recent decades, computer experiments have led to an accurate and
fundamental understanding of atomic and molecular mechanisms in fluids, such as
different kinds of relaxation processes toward steady physical states. In this
paper, we investigate how exactly the configuration of initial states in a
molecular-dynamics... | http://arxiv.org/abs/2307.16367v1 |
A directed graph $R^{\circ}$ on a set $X$ is a set of ordered pairs of
distinct points called \emph{arcs}. It is a tournament when every pair of
distinct points is connected by an arc in one direction or the other (and not
both). We can describe a tournament $R \subset X \times X$ as a total,
antisymmetric relation, i.... | http://arxiv.org/abs/2304.00055v1 |
Recent advancements in quantum computing and quantum-inspired algorithms have
sparked renewed interest in binary optimization. These hardware and software
innovations promise to revolutionize solution times for complex problems. In
this work, we propose a novel method for solving linear systems. Our approach
leverages ... | http://arxiv.org/abs/2309.09933v3 |
The Standard Model (SM) has no flavor-changing neutral current (FCNC)
processes at the tree level. Therefore, processes featuring FCNC in new physics
are tightly constrained by data. Typically, the lower bounds on the scale of
new physics obtained from $K-\bar{K}$ or $B-\bar{B}$ mixing lie well above 10
TeV, surpassing... | http://arxiv.org/abs/2304.00041v2 |
Precision navigation and timing, very-long-baseline interferometry,
next-generation communication, sensing, and tests of fundamental physics all
require a highly synchronized network of clocks. With the advance of
highly-accurate optical atomic clocks, the precision requirements for
synchronization are reaching the lim... | http://arxiv.org/abs/2305.19639v3 |
We introduce differentiable indirection -- a novel learned primitive that
employs differentiable multi-scale lookup tables as an effective substitute for
traditional compute and data operations across the graphics pipeline. We
demonstrate its flexibility on a number of graphics tasks, i.e., geometric and
image represen... | http://arxiv.org/abs/2309.08387v2 |
We propose a variational approach for preparing entangled quantum states on
quantum computers. The methodology involves training a unitary operation to
match with a target unitary using the Fubini-Study distance as a cost function.
We employ various gradient-based optimization techniques to enhance
performance, includi... | http://arxiv.org/abs/2306.17422v1 |
Combining the strengths of many existing predictors to obtain a Mixture of
Experts which is superior to its individual components is an effective way to
improve the performance without having to develop new architectures or train a
model from scratch. However, surprisingly, we find that na\"ively combining
expert objec... | http://arxiv.org/abs/2309.14976v4 |
We present a framework for learning of modeling uncertainties in Linear Time
Invariant (LTI) systems. We propose a methodology to extend the dynamics of an
LTI (without uncertainty) with an uncertainty model, based on measured data, to
improve the predictive capacity of the model in the input-output sense. The
proposed... | http://arxiv.org/abs/2310.20568v1 |
Two-pointed quantum disks with a weight parameter $W>0$ is a canonical family
of finite-volume random surfaces in Liouville quantum gravity. We extend the
conformal welding of quantum disks in [AHS23] to the non-simple regime, and
give a construction of the multiple SLE associated with any given link pattern
for $\kapp... | http://arxiv.org/abs/2310.20583v2 |
One of the most critical problems in the field of string algorithms is the
longest common subsequence problem (LCS). The problem is NP-hard for an
arbitrary number of strings but can be solved in polynomial time for a fixed
number of strings. In this paper, we select a typical parallel LCS algorithm
and integrate it in... | http://arxiv.org/abs/2309.09072v1 |
We present MDIRK: a Multifluid second-order Diagonally-Implicit Runge-Kutta
method to study momentum transfer between gas and an arbitrary number ($N$) of
dust species. The method integrates the equations of hydrodynamics with an
Implicit Explicit (IMEX) scheme and solves the stiff source term in the
momentum equation ... | http://arxiv.org/abs/2310.04435v3 |
Research on pronunciation assessment systems focuses on utilizing phonetic
and phonological aspects of non-native (L2) speech, often neglecting the rich
layer of information hidden within the non-verbal cues. In this study, we
proposed a novel pronunciation assessment framework, IntraVerbalPA. % The
framework innovativ... | http://arxiv.org/abs/2309.07739v1 |
We introduce VL2NL, a Large Language Model (LLM) framework that generates
rich and diverse NL datasets using only Vega-Lite specifications as input,
thereby streamlining the development of Natural Language Interfaces (NLIs) for
data visualization. To synthesize relevant chart semantics accurately and
enhance syntactic ... | http://arxiv.org/abs/2309.10245v4 |
There has been a growing interest in parallel strategies for solving
trajectory optimization problems. One key step in many algorithmic approaches
to trajectory optimization is the solution of moderately-large and sparse
linear systems. Iterative methods are particularly well-suited for parallel
solves of such systems.... | http://arxiv.org/abs/2309.06427v2 |
In the Internet of Things (IoT) networks, edge learning for data-driven tasks
provides intelligent applications and services. As the network size becomes
large, different users may generate distinct datasets. Thus, to suit multiple
edge learning tasks for large-scale IoT networks, this paper performs efficient
communic... | http://arxiv.org/abs/2305.00383v1 |
We address the problem of detecting who spoke when in child-inclusive spoken
interactions i.e., automatic child-adult speaker classification. Interactions
involving children are richly heterogeneous due to developmental differences.
The presence of neurodiversity e.g., due to Autism, contributes additional
variability.... | http://arxiv.org/abs/2307.16398v1 |
In this paper we study the (nonlocal) torsional rigidity in the ambient space
of random walk spaces. We get the relation of the (nonlocal) torsional rigidity
of a set $\Omega$ with the spectral $m$-heat content of $\Omega$, what gives
rise to a complete description of the nonlocal torsional rigidity of $\Omega$
by usin... | http://arxiv.org/abs/2302.14351v1 |
Self-supervised pre-trained speech models have strongly improved speech
recognition, yet they are still sensitive to domain shifts and accented or
atypical speech. Many of these models rely on quantisation or clustering to
learn discrete acoustic units. We propose to correct the discovered discrete
units for accented s... | http://arxiv.org/abs/2309.13994v1 |
In the vision of urban air mobility, air transport systems serve the demands
of urban communities by routing flight traffic in networks formed by vertiports
and flight corridors. We develop a routing algorithm to ensure that the air
traffic flow fairly serves the demand of multiple communities subject to
stochastic net... | http://arxiv.org/abs/2310.00135v1 |
We investigate the properties of natural orbitals and their occupation
numbers of the ground state of two non-interacting anyons characterised by the
fractional statistics parameter $\alpha$ and confined in a harmonic trap. We
work in the boson magnetic gauge where the anyons are modelled as composite
bosons with magne... | http://arxiv.org/abs/2309.14023v2 |
Several radio sources have been detected in the HMSFR W75N(B), among them the
massive YSOs VLA1 and VLA2 are of great interest. These are thought to be in
different evolutionary stages. In particular, VLA1 is at the early stage of the
photoionization and it is driving a thermal radio jet, while VLA2 is a thermal,
colli... | http://arxiv.org/abs/2303.00019v1 |
This study investigates the relationship between cell shape and
cell-generated stresses in confluent cell layers. Using simultaneous
measurements of cell shape orientation and cell-generated contractile forces in
MDCK and LP-9 colonies, we report the emergence of correlated, dynamic domains
in which misalignment betwee... | http://arxiv.org/abs/2309.04224v1 |
We uncover a useful connection between the integrated current noise
$S(\omega)$ and the topological band gap in dispersionless quantum states,
$\int d \omega [ \mathcal S^{\text{flat}}_{xx} + \mathcal S^{\text{flat}}_{yy}
] = C e^2 \Delta^2$ (in units $\hbar$$=$$1$), where $C$ is the Chern number,
$e$ is electric charg... | http://arxiv.org/abs/2309.00042v1 |
We consider the problem of designing controllers to guarantee safety in a
class of nonlinear systems under uncertainties in the system dynamics and/or
the environment. We define a class of uncertain control barrier functions
(CBFs), and formulate the safe control design problem as a chance-constrained
optimization prob... | http://arxiv.org/abs/2309.10251v1 |
We present LOWA, a novel method for localizing objects with attributes
effectively in the wild. It aims to address the insufficiency of current
open-vocabulary object detectors, which are limited by the lack of
instance-level attribute classification and rare class names. To train LOWA, we
propose a hybrid vision-langu... | http://arxiv.org/abs/2305.20047v1 |
Despite radar's popularity in the automotive industry, for fusion-based 3D
object detection, most existing works focus on LiDAR and camera fusion. In this
paper, we propose TransCAR, a Transformer-based Camera-And-Radar fusion
solution for 3D object detection. Our TransCAR consists of two modules. The
first module lear... | http://arxiv.org/abs/2305.00397v1 |
The maximal minors of a matrix of indeterminates are a universal Gr\"obner
basis by a theorem of Bernstein, Sturmfels and Zelevinsky. On the other hand it
is known that they are not always a universal Sagbi basis. By an experimental
approach we discuss their behavior under varying monomial orders and their
extensions t... | http://arxiv.org/abs/2302.14345v2 |
The cost of hyperparameter tuning in deep learning has been rising with model
sizes, prompting practitioners to find new tuning methods using a proxy of
smaller networks. One such proposal uses $\mu$P parameterized networks, where
the optimal hyperparameters for small width networks transfer to networks with
arbitraril... | http://arxiv.org/abs/2309.16620v2 |
Genetic mutations are footprints of tumour growth. While mutation data in
bulk samples has been used to infer evolutionary parameters hard to measure in
vivo, the advent of single-cell data has led to strong interest in the
mutational burden distribution (MBD) among tumour cells. We introduce dynamical
matrices and rec... | http://arxiv.org/abs/2309.06355v3 |
In this article, we discuss subspace duals of a frame of translates by an
action of a closed abelian subgroup $\Gamma$ of a locally compact group
$\mathscr G.$ These subspace duals are not required to lie in the space
generated by the frame. We characterise translation-generated subspace duals of
a frame/Riesz basis in... | http://arxiv.org/abs/2309.09066v1 |
We present a semi-microscopic study of the 16C(d,p)17C transfer reaction. The
17C overlap integrals and spectroscopic factors are obtained from a microscopic
cluster model, involving many 16C+n configurations. This microscopic model
provides a fair description of the 17C bound-state energies. The 16C+d
scattering wave ... | http://arxiv.org/abs/2309.08378v1 |
If $f : X\mapsto Y$ is a function having Baire property from a metric space
$X$ into a separable metric space $Y$ , then $f$ is continuous except on a set
of first category. Kuratowski asked whether the condition of separability could
be removed. Several attempts were done in the past to solve this problem. In
fact, th... | http://arxiv.org/abs/2309.17258v2 |
Deep learning techniques with neural networks have been used effectively in
computational fluid dynamics (CFD) to obtain solutions to nonlinear
differential equations. This paper presents a physics-informed neural network
(PINN) approach to solve the Blasius function. This method eliminates the
process of changing the ... | http://arxiv.org/abs/2301.00106v2 |
Deepfake images are fast becoming a serious concern due to their realism.
Diffusion models have recently demonstrated highly realistic visual content
generation, which makes them an excellent potential tool for Deepfake
generation. To curb their exploitation for Deepfakes, it is imperative to first
explore the extent t... | http://arxiv.org/abs/2309.14751v1 |
We first raise and tackle a ``time synchronization'' issue between the agent
and the environment in non-stationary reinforcement learning (RL), a crucial
factor hindering its real-world applications. In reality, environmental changes
occur over wall-clock time ($t$) rather than episode progress ($k$), where
wall-clock ... | http://arxiv.org/abs/2309.14989v2 |
Deep neural networks are vulnerable to adversarial attacks. In this paper, we
take the role of investigators who want to trace the attack and identify the
source, that is, the particular model which the adversarial examples are
generated from. Techniques derived would aid forensic investigation of attack
incidents and ... | http://arxiv.org/abs/2301.01218v1 |
The derivation of Birnbaum-Saunders (BS) fatigue-life distribution is based
on the asymptotic normality of crack damages' partial sums. We address the
situation when this fails and the crack damages possess heavy-tailed
distribution. In this note, a general class of fatigue-life distributions of BS
type is proposed. | http://arxiv.org/abs/2310.20597v2 |
Quick simulations for iterative evaluations of multi-design variables and
boundary conditions are essential to find the optimal acoustic conditions in
building design. We propose to use the reduced basis method (RBM) for realistic
room acoustic scenarios where the surfaces have inhomogeneous acoustic
properties, which ... | http://arxiv.org/abs/2301.13634v1 |
Uniqueness problem of static axially symmetric black hole in magnetic
Universe filled with {\it dark matter} component has been considered. The {\it
dark matter} model comprises the additional $U(1)$-gauge field ({\it dark
photon}) interacting with Maxwell one by the kinetic mixing term. We show that
all the solutions ... | http://arxiv.org/abs/2309.08350v1 |
This is the second of two companion papers in which we continue developing
the construction of an elementary particle model with no Higgs. Here we show
that the recently identified non-perturbative field-theoretical feature,
alternative to the Higgs mechanism and capable of giving masses to quarks,
Tera-quarks and $W$,... | http://arxiv.org/abs/2306.00189v2 |
Solving the time-dependent quantum many-body Schr\"odinger equation is a
challenging task, especially for states at a finite temperature, where the
environment affects the dynamics. Most existing approximating methods are
designed to represent static thermal density matrices, 1D systems, and/or
zero-temperature states.... | http://arxiv.org/abs/2309.07063v2 |
Domain-specific text classification faces the challenge of scarce labeled
data due to the high cost of manual labeling. Prompt-learning, known for its
efficiency in few-shot scenarios, is proposed as an alternative to traditional
fine-tuning methods. And besides, although large language models (LLMs) have
gained promin... | http://arxiv.org/abs/2309.14779v1 |
Transformers have been extensively studied in medical image segmentation to
build pairwise long-range dependence. Yet, relatively limited well-annotated
medical image data makes transformers struggle to extract diverse global
features, resulting in attention collapse where attention maps become similar
or even identica... | http://arxiv.org/abs/2309.05674v1 |
Average-K classification is an alternative to top-K classification in which
the number of labels returned varies with the ambiguity of the input image but
must average to K over all the samples. A simple method to solve this task is
to threshold the softmax output of a model trained with the cross-entropy loss.
This ap... | http://arxiv.org/abs/2303.18118v1 |
A typical machine learning (ML) development cycle for edge computing is to
maximise the performance during model training and then minimise the
memory/area footprint of the trained model for deployment on edge devices
targeting CPUs, GPUs, microcontrollers, or custom hardware accelerators. This
paper proposes a methodo... | http://arxiv.org/abs/2303.00031v2 |
In climate modelling, the reality of simulated flows in the middle atmosphere
is largely affected by the model's representation of gravity wave processes
that are unresolved, while these processes are usually simplified to facilitate
computations. The simplification commonly applied in existing climate models is
to neg... | http://arxiv.org/abs/2309.15301v2 |
There is a significant relevance of federated learning (FL) in the realm of
Artificial Intelligence of Things (AIoT). However, most existing FL works do
not use datasets collected from authentic IoT devices and thus do not capture
unique modalities and inherent challenges of IoT data. To fill this critical
gap, in this... | http://arxiv.org/abs/2310.00109v3 |
Gene regulatory networks, as a powerful abstraction for describing complex
biological interactions between genes through their expression products within
a cell, are often regarded as virtually deterministic dynamical systems.
However, this view is now being challenged by the fundamentally stochastic,
'bursty' nature o... | http://arxiv.org/abs/2309.05112v1 |
In intent detection tasks, leveraging meaningful semantic information from
intent labels can be particularly beneficial for few-shot scenarios. However,
existing few-shot intent detection methods either ignore the intent labels,
(e.g. treating intents as indices) or do not fully utilize this information
(e.g. only usin... | http://arxiv.org/abs/2309.03563v2 |
We find that an oscillon can possess a characteristic double oscillation
structure even though it results in a decay of a sphaleron which does not have
any positive energy vibrational mode. We show that dynamics of such an oscillon
can still be captured by collective coordinates provided by the sphaleron.
Namely, its u... | http://arxiv.org/abs/2309.11167v1 |
Transparency of information disclosure has always been considered an
instrumental component of effective governance, accountability, and ethical
behavior in any organization or system. However, a natural question follows:
\emph{what is the cost or benefit of being transparent}, as one may suspect
that transparency impo... | http://arxiv.org/abs/2304.00096v2 |
We motivate the use of neural networks for the construction of numerical
solutions to differential equations. We prove that there exists a feed-forward
neural network that can arbitrarily minimise an objective function that is zero
at the solution of Poisson's equation, allowing us to guarantee that neural
network solu... | http://arxiv.org/abs/2301.13146v1 |
Tulipa Energy Model aims to optimise the investment and operation of the
electricity market, considering its coupling with other sectors, such as
hydrogen and heat, that can also be electrified. The problem is analysed from
the perspective of a central planner who determines the expansion plan that is
most beneficial f... | http://arxiv.org/abs/2309.07711v1 |
The extragalactic distance scale is perhaps the most important application of
stellar distance indicators. Among these, classical Cepheids are high-accuracy
standard candles that support a $1.4\%$ measurement of Hubble's constant,
$H_0$. The accuracy of Cepheid distances is thus directly relevant for
understanding the ... | http://arxiv.org/abs/2302.14379v1 |
In the present work, we theoretically investigate gravitational lensing in
the spacetime of a holonomy corrected Schwarzschild black hole. Analytical
expressions for the light deflection angle are obtained in both the weak field
limit and the strong field limit. Furthermore, we analyze observables, such as
relativistic... | http://arxiv.org/abs/2309.05106v2 |
The Rosette Nebula is a young stellar cluster and molecular cloud complex,
located at the edge of the southern shell of a middle-aged SNR Monoceros Loop
(G205.5+0.5). We revisited the GeV gamma-ray emission towards the Rosette
Nebula using more than 13 years of Fermi-LAT data. We tested several spatial
models and found... | http://arxiv.org/abs/2309.03577v2 |
In this paper we give a new general method to describe all Kaehler scalar
flat metrics on $U(n)$-invariant domains of C^n in a way to be able to detect
easily whether it can be completed to larger domains and which kind of ends
they can have. This new approach makes possible to decide whether the
corresponding metrics ... | http://arxiv.org/abs/2309.11615v1 |
An interesting phenomenological consequence of Lambda varying gravity
theories inspired by quantum gravity models is reported. The treatment in the
present work is quite general and applicable to several different actions with
Lambda varying, especially those used in RG approaches to quantum gravity. An
effective gravi... | http://arxiv.org/abs/2309.06369v1 |
In this article, we construct complete embedded constant mean curvature
surfaces in $\mb{R}^3$ with freely prescribed genus and any number of ends
greater than or equal to four. Heuristically, the surfaces are obtained by
resolving finitely many points of tangency between collections of spheres. The
construction relies... | http://arxiv.org/abs/2309.08344v1 |
In this paper, we present first-ever optimized hardware implementation of a
state-of-the-art neuromorphic approach Histogram of Averaged Time Surfaces
(HATS) algorithm to event-based object classification in FPGA for asynchronous
time-based image sensors (ATIS). Our Implementation achieves latency of 3.3 ms
for the N-C... | http://arxiv.org/abs/2309.07077v1 |
This paper considers the safety-critical navigation problem with Signal
Temporal Logic (STL) tasks. We developed an explicit reference governor-guided
control barrier function (ERG-guided CBF) method that enables the application
of first-order CBFs to high-order linearizable systems. This method
significantly reduces t... | http://arxiv.org/abs/2309.08813v2 |
High throughput serving of large language models (LLMs) requires batching
sufficiently many requests at a time. However, existing systems struggle
because the key-value cache (KV cache) memory for each request is huge and
grows and shrinks dynamically. When managed inefficiently, this memory can be
significantly wasted... | http://arxiv.org/abs/2309.06180v1 |
Small object detection has been a challenging problem in the field of object
detection. There has been some works that proposes improvements for this task,
such as adding several attention blocks or changing the whole structure of
feature fusion networks. However, the computation cost of these models is
large, which ma... | http://arxiv.org/abs/2309.16393v2 |
Quantum state purification is the task of recovering a nearly pure copy of an
unknown pure quantum state using multiple noisy copies of the state. This basic
task has applications to quantum communication over noisy channels and quantum
computation with imperfect devices, but has only been studied previously for
the ca... | http://arxiv.org/abs/2309.16387v2 |
Secure two-party scalar product (S2SP) is a promising research area within
secure multiparty computation (SMC), which can solve a range of SMC problems,
such as intrusion detection, data analysis, and geometric computations.
However, existing quantum S2SP protocols are not efficient enough, and the
complexity is usuall... | http://arxiv.org/abs/2309.15856v1 |
The standard model (SM) has several issues related to the $CP$ violation
which could give clues to search physics beyond the SM. They are a $CP$ phase
in the CKM matrix, the strong $CP$ problem, $CP$ phases in the PMNS matrix and
$CP$ asymmetry in lepton number violating processes related to baryon number
asymmetry. We... | http://arxiv.org/abs/2309.04783v2 |
Place recognition is crucial for robot localization and loop closure in
simultaneous localization and mapping (SLAM). Light Detection and Ranging
(LiDAR), known for its robust sensing capabilities and measurement consistency
even in varying illumination conditions, has become pivotal in various fields,
surpassing tradi... | http://arxiv.org/abs/2309.14590v3 |
Our aim is to estimate the largest community (a.k.a., mode) in a population
composed of multiple disjoint communities. This estimation is performed in a
fixed confidence setting via sequential sampling of individuals with
replacement. We consider two sampling models: (i) an identityless model,
wherein only the communit... | http://arxiv.org/abs/2309.12687v1 |
Graph-based semi-supervised learning (GSSL) has long been a hot research
topic. Traditional methods are generally shallow learners, based on the cluster
assumption. Recently, graph convolutional networks (GCNs) have become the
predominant techniques for their promising performance. In this paper, we
theoretically discu... | http://arxiv.org/abs/2309.13599v2 |
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