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It has been argued that the Randall-Sundrum (RS) phase transition rate is
suppressed when the holographic theory corresponds to a large $N$ Yang-Mills
and when the stabilizing field has a small mass. Here we argue that
self-interactions can alleviate the latter suppression. We consider a cubic
term in the bulk potentia... | http://arxiv.org/abs/2309.10090v2 |
We present a framework for designing optimal optical pulses for the
matter-wave splitting of a Bose-Einstein Condensate (BEC) under the influence
of experimental inhomogeneities, so that the sample is transferred from an
initial rest position into a singular higher diffraction order. To represent
the evolution of the p... | http://arxiv.org/abs/2309.08807v2 |
How can we ensure that Ubiquitous Computing (UbiComp) research outcomes are
both ethical and fair? While fairness in machine learning (ML) has gained
traction in recent years, fairness in UbiComp remains unexplored. This workshop
aims to discuss fairness in UbiComp research and its social, technical, and
legal implicat... | http://arxiv.org/abs/2309.12877v1 |
On-chip DNN inference and training at the Extreme-Edge (TinyML) impose strict
latency, throughput, accuracy and flexibility requirements. Heterogeneous
clusters are promising solutions to meet the challenge, combining the
flexibility of DSP-enhanced cores with the performance and energy boost of
dedicated accelerators.... | http://arxiv.org/abs/2303.17954v1 |
Motivated by concerns about making online decisions that incur undue amount
of risk at each time step, in this paper, we formulate the probably
anytime-safe stochastic combinatorial semi-bandits problem. In this problem,
the agent is given the option to select a subset of size at most $K$ from a set
of $L$ ground items... | http://arxiv.org/abs/2301.13393v2 |
Giant planet migration appears widespread among planetary systems in our
Galaxy. However, the timescales of this process, which reflect the underlying
dynamical mechanisms, are not well constrained, even within the solar system.
Since planetary migration scatters smaller bodies onto intersecting orbits, it
would have r... | http://arxiv.org/abs/2309.10906v2 |
This work describes a novel radiation algorithm designed to capture the
three-dimensional, space-time resolved electromagnetic field structure emitted
by large ensembles of charged particles. % in particle-in-cell (PIC) codes. The
algorithm retains the full set of degrees of freedom that characterize
electromagnetic wa... | http://arxiv.org/abs/2302.14812v1 |
Graph neural networks (GNNs) have achieved champion in wide applications.
Neural message passing is a typical key module for feature propagation by
aggregating neighboring features. In this work, we propose a new message
passing based on multiscale framelet transforms, called Framelet Message
Passing. Different from tr... | http://arxiv.org/abs/2302.14806v1 |
This paper introduces assignment flows for density matrices as state spaces
for representing and analyzing data associated with vertices of an underlying
weighted graph. Determining an assignment flow by geometric integration of the
defining dynamical system causes an interaction of the non-commuting states
across the ... | http://arxiv.org/abs/2307.00075v1 |
Multilingual semantic search is the task of retrieving relevant contents to a
query expressed in different language combinations. This requires a better
semantic understanding of the user's intent and its contextual meaning.
Multilingual semantic search is less explored and more challenging than its
monolingual or bili... | http://arxiv.org/abs/2309.08185v1 |
A core task in precision agriculture is the identification of climatic and
ecological conditions that are advantageous for a given crop. The most succinct
approach is geolocation, which is concerned with locating the native region of
a given sample based on its genetic makeup. Here, we investigate genomic
geolocation o... | http://arxiv.org/abs/2301.13387v1 |
We study the glass transition by exploring a broad class of kinetic rules
that can significantly modify the normal dynamics of super-cooled liquids,
while maintaining thermal equilibrium. Beyond the usual dynamics of liquids,
this class includes dynamics in which a fraction $(1-f_R)$ of the particles can
perform pairwi... | http://arxiv.org/abs/2308.00196v4 |
An averaging operator on an associative algebra $A$ is an algebraic
abstraction of the time average operator on the space of real-valued functions
defined in time-space. In this paper, we consider relative averaging operators
on a bimodule $M$ over an associative algebra $A$. A relative averaging
operator induces a dia... | http://arxiv.org/abs/2303.17798v1 |
Neural machine translation (NMT) has shown impressive performance when
trained on large-scale corpora. However, generic NMT systems have demonstrated
poor performance on out-of-domain translation. To mitigate this issue, several
domain adaptation methods have recently been proposed which often lead to
better translatio... | http://arxiv.org/abs/2309.12863v1 |
Gradient regularization, as described in \citet{barrett2021implicit}, is a
highly effective technique for promoting flat minima during gradient descent.
Empirical evidence suggests that this regularization technique can
significantly enhance the robustness of deep learning models against noisy
perturbations, while also... | http://arxiv.org/abs/2303.17940v1 |
We discuss in this note the algebra H^0(X, Sym*TX) for a smooth complex
projective variety X . We compute it in some simple examples, and give a sharp
bound on its Krull dimension. Then we propose a conjectural characterization of
non-uniruled projective manifolds with pseudo-effective tangent bundle. | http://arxiv.org/abs/2309.12888v4 |
In recent years, hardware-accelerated neural networks have gained significant
attention for edge computing applications. Among various hardware options,
crossbar arrays, offer a promising avenue for efficient storage and
manipulation of neural network weights. However, the transition from trained
floating-point models ... | http://arxiv.org/abs/2310.00337v1 |
X-ray absorption spectroscopy (XAS) is a premier technique for materials
characterization, providing key information about the local chemical
environment of the absorber atom. In this work, we develop a database of sulfur
K-edge XAS spectra of crystalline and amorphous lithium thiophosphate materials
based on the atomi... | http://arxiv.org/abs/2302.00126v1 |
Clustering techniques have been the key drivers of data mining, machine
learning and pattern recognition for decades. One of the most popular
clustering algorithms is DBSCAN due to its high accuracy and noise tolerance.
Many superior algorithms such as DBSCAN have input parameters that are hard to
estimate. Therefore, ... | http://arxiv.org/abs/2309.10047v1 |
We study the asymptotic behavior of short cycles of random permutations with
cycle weights. More specifically, on a specially constructed metric space whose
elements encode all possible cycles, we consider a point process containing all
information on cycles of a given random permutation on $\{1,\ldots,n\}$. The
main r... | http://arxiv.org/abs/2309.10721v1 |
The use of Natural Language Processing (NLP) for Automated Essay Scoring
(AES) has been well explored in the English language, with benchmark models
exhibiting performance comparable to human scorers. However, AES in Hindi and
other low-resource languages remains unexplored. In this study, we reproduce
and compare stat... | http://arxiv.org/abs/2302.14635v1 |
Meta-learning frameworks for few-shot learning aims to learn models that can
learn new skills or adapt to new environments rapidly with a few training
examples. This has led to the generalizability of the developed model towards
new classes with just a few labelled samples. However these networks are seen
as black-box ... | http://arxiv.org/abs/2310.00451v2 |
Federated Learning (FL) is a prominent distributed learning paradigm
facilitating collaboration among nodes within an edge network to co-train a
global model without centralizing data. By shifting computation to the network
edge, FL offers robust and responsive edge-AI solutions and enhance
privacy-preservation. Howeve... | http://arxiv.org/abs/2309.15659v1 |
Variational Quantum Algorithms (VQA) have been identified as a promising
candidate for the demonstration of near-term quantum advantage in solving
optimization tasks in chemical simulation, quantum information, and machine
learning. The standard model of training requires a significant amount of
quantum resources, whic... | http://arxiv.org/abs/2309.04754v1 |
We address the problem of distributed resource allocation for multicast
communication in device-to-device (D2D) enabled underlay cellular networks. The
optimal resource allocation is crucial for maximizing the performance of such
networks, which are limited by the severe co-channel interference between
cellular users (... | http://arxiv.org/abs/2309.14547v1 |
We present a result according to which certain functions of covariance
matrices are maximized at scalar multiples of the identity matrix. This is used
to show that experimental designs that are optimal under an assumption of
independent, homoscedastic responses can be minimax robust, in broad classes of
alternate covar... | http://arxiv.org/abs/2310.00445v5 |
Deploying Machine Learning as a Service gives rise to model plagiarism,
leading to copyright infringement. Ownership testing techniques are designed to
identify model fingerprints for verifying plagiarism. However, previous works
often rely on overfitting or robustness features as fingerprints, lacking
theoretical guar... | http://arxiv.org/abs/2310.10656v1 |
We determine the ground-state phase diagram for the 1/r-Hubbard model with
repulsive nearest-neighbor interaction at half band-filling using the
density-matrix renormalization group (DMRG) method. Due to the absence of
Umklapp cattering, the phase diagram displays finite regions for the three
generic phases, namely, a ... | http://arxiv.org/abs/2309.04740v1 |
The study of the process of catastrophic tsunami-type waves on the coast
makes it possible to determine the destructive force of waves on the coast. In
hydrodynamics, the one-dimensional theory of the run-up of non-linear waves on
a flat slope has gained great popularity, within which rigorous analytical
results have b... | http://arxiv.org/abs/2309.14553v1 |
Modern speech recognition systems exhibits rapid performance degradation
under domain shift. This issue is especially prevalent in data-scarce settings,
such as low-resource languages, where diversity of training data is limited. In
this work we propose M2DS2, a simple and sample-efficient finetuning strategy
for large... | http://arxiv.org/abs/2301.00304v1 |
We prove a pointwise convergence result for additive ergodic averages
associated with certain multiplicative actions of the Gaussian integers. We
derive several applications in dynamics and number theory, including:
(i) Wirsing's theorem for Gaussian integers: if $f\colon \mathbb{G} \to
\mathbb{R}$ is a bounded compl... | http://arxiv.org/abs/2309.07249v2 |
Epistemic Logic Programs (ELPs), extend Answer Set Programming (ASP) with
epistemic operators. The semantics of such programs is provided in terms of
world views, which are sets of belief sets, i.e., syntactically, sets of sets
of atoms. Different semantic approaches propose different characterizations of
world views. ... | http://arxiv.org/abs/2309.16344v1 |
Surrogate modeling is a viable solution for applications involving repetitive
evaluations of expensive computational fluid dynamics models, such as
uncertainty quantification and inverse problems. This study proposes a
multi-layer perceptron (MLP) based machine-learning surrogate for canopy flow
statistics accommodatin... | http://arxiv.org/abs/2306.17807v4 |
In an era where cyberspace is both a battleground and a backbone of modern
society, the urgency of safeguarding digital assets against ever-evolving
threats is paramount. This paper introduces Cyber Sentinel, an innovative
task-oriented cybersecurity dialogue system that is effectively capable of
managing two core func... | http://arxiv.org/abs/2309.16422v1 |
A unified Chew-Mandelstam description of single-pion photoproduction data,
together with pion- and eta-hadroproduction data, has been extended to include
measurements carried out over the last decade. We consider photo-decay
amplitudes evaluated at the pole with particular emphasis on ng couplings and
the influence of ... | http://arxiv.org/abs/2309.06631v1 |
[Abridged] Context. The Galactic Center supermassive black hole is well known
to exhibit transient peaks of flux density on a daily basis across the
spectrum. Recent infrared and millimeter observations have strengthened the
case for the association between these flares and circular orbital motion in
the vicinity of th... | http://arxiv.org/abs/2309.10053v1 |
We establish a general principle that any lower bound on the non-vanishing of
central $L$-values obtained through studying the one-level density of low-lying
zeros can be refined to show that most such $L$-values have the typical size
conjectured by Keating and Snaith. We illustrate this technique in the case of
quadra... | http://arxiv.org/abs/2308.00169v1 |
We give alternate proofs of the classical branching rules for highest weight
representations of a complex reductive group $G$ restricted to a closed regular
reductive subgroup $H$, where $(G,H)$ consist of the pairs $(GL(n+1),GL(n))$, $
(Spin(2n+1), Spin(2n)) $ and $(Sp(2n),Sp(2)\times Sp(2n-2))$. Our proof is
essentia... | http://arxiv.org/abs/2310.00323v1 |
Recent advancements in language models (LMs) have gained substantial
attentions on their capability to generate human-like responses. Though
exhibiting a promising future for various applications such as conversation AI,
these LMs face deployment challenges on various devices due to their extreme
computational cost and... | http://arxiv.org/abs/2309.06619v1 |
We perform detailed calculations of the electronic structure of the
Os$^{16+}$ ion and demonstrate that it has several metastable states which can
be used for very accurate optical clocks. The clocks are highly sensitive to
manifestations of the physics beyond standard model, such as time variation of
the fine structur... | http://arxiv.org/abs/2309.07507v2 |
Efficient hyperpolarisation of nuclear spins via optically active defect
centers, such as the nitrogen vacancy (NV) center in diamond, has great
potential for enhancing NMR based quantum information processing and nanoscale
magnetic resonance imaging. Recently, pulse-based protocols have been shown to
efficiently trans... | http://arxiv.org/abs/2309.03761v1 |
Why is it that a ticking clock typically becomes less accurate when subject
to outside noise but rarely the reverse? Here, we formalize this phenomenon by
introducing process causal asymmetry - a fundamental difference in the amount
of past information an autonomous agent must track to transform one stochastic
process ... | http://arxiv.org/abs/2309.13572v1 |
This paper introduces a novel deep-learning approach for human-to-robot
motion retargeting, enabling robots to mimic human poses accurately. Contrary
to prior deep-learning-based works, our method does not require paired
human-to-robot data, which facilitates its translation to new robots. First, we
construct a shared ... | http://arxiv.org/abs/2309.05310v3 |
Individual differences in personality determine our preferences, traits and
values, which should similarly hold for the way we express ourselves. With
current advancements and transformations of technology and society, text-based
communication has become ordinary and often even surpasses natural voice
conversations -- ... | http://arxiv.org/abs/2309.13214v1 |
For $N\geq 4$, we let $\Omega$ be a bounded domain of $\mathbb{R}^N$ and
$\Gamma$ be a closed curve contained in $\Omega$. We study existence of
positive solutions $u \in H^1_0\left(\Omega\right)$ to the equation
\begin{equation}\label{Atusi} -\Delta u+hu=\lambda\rho^{-s_1}_\Gamma
u^{2^*_{s_1}-1}+\rho^{-s_2}_\Gamma u^{... | http://arxiv.org/abs/2309.04768v2 |
Despite the success of deep learning-based object detection methods in recent
years, it is still challenging to make the object detector reliable in adverse
weather conditions such as rain and snow. For the robust performance of object
detectors, unsupervised domain adaptation has been utilized to adapt the
detection n... | http://arxiv.org/abs/2309.08152v2 |
We present new closed-form expressions for certain improper integrals of
Mathematical Physics such as certain Ising, Box, and Associated integrals. The
techniques we employ here include (a) the Method of Brackets and its
modifications and suitable extensions to obtain the Mellin-Barnes
representation. (b) The evaluatio... | http://arxiv.org/abs/2301.13436v2 |
Accurately estimating high-order moments of quantum states is an elementary
precondition for many crucial tasks in quantum computing, such as entanglement
spectroscopy, entropy estimation, spectrum estimation, and predicting
non-linear features from quantum states. But in reality, inevitable quantum
noise prevents us f... | http://arxiv.org/abs/2309.11403v2 |
The development of quantum repeaters poses significant challenges in terms of
cost and maintenance, prompting the exploration of alternative approaches for
achieving long-distance quantum communication. In the absence of quantum
repeaters and under the memoryless (iid) approximation, it has been established
that some f... | http://arxiv.org/abs/2309.17066v1 |
With the huge technological advances introduced by deep learning in audio &
speech processing, many novel synthetic speech techniques achieved incredible
realistic results. As these methods generate realistic fake human voices, they
can be used in malicious acts such as people imitation, fake news, spreading,
spoofing,... | http://arxiv.org/abs/2309.08146v1 |
In this note, we demonstrate a first-of-its-kind provable convergence of SGD
to the global minima of appropriately regularized logistic empirical risk of
depth $2$ nets -- for arbitrary data and with any number of gates with
adequately smooth and bounded activations like sigmoid and tanh. We also prove
an exponentially... | http://arxiv.org/abs/2309.09258v2 |
Let $F$ be a finite extension of $\mathbb{Q}_p$, let $\Omega_F$ be Drinfeld's
upper half-plane over $F$ and let $G^0$ the subgroup of $GL_2(F)$ consisting of
elements whose determinant has norm $1$. By working locally on $\Omega_F$, we
construct and classify the torsion $G^0$-equivariant line bundles with
integrable co... | http://arxiv.org/abs/2309.05462v2 |
In this work, we perform real time simulations for probing the non-Abelian
fusion of a pair of Majorana zero modes (MZMs). The nontrivial fusion outcomes
can be either a vacuum, or an unpaired fermion, which reflect the underlying
non-Abelian statistics. The two possible outcomes can cause different charge
variations i... | http://arxiv.org/abs/2309.13566v2 |
Asymptotic homogenisation is considered for problems with integral
constraints imposed on a slowly-varying microstructure; an insulator with an
array of perfectly dielectric inclusions of slowly varying size serves as a
paradigm. Although it is well-known how to handle each of these effects
(integral constraints, slowl... | http://arxiv.org/abs/2303.17983v1 |
The bin packing is a well-known NP-Hard problem in the domain of artificial
intelligence, posing significant challenges in finding efficient solutions.
Conversely, recent advancements in quantum technologies have shown promising
potential for achieving substantial computational speedup, particularly in
certain problem ... | http://arxiv.org/abs/2309.12678v2 |
An emerging line of work has sought to generate plausible imagery from touch.
Existing approaches, however, tackle only narrow aspects of the visuo-tactile
synthesis problem, and lag significantly behind the quality of cross-modal
synthesis methods in other domains. We draw on recent advances in latent
diffusion to cre... | http://arxiv.org/abs/2309.15117v1 |
Despite the remarkable success of deep learning systems over the last decade,
a key difference still remains between neural network and human
decision-making: As humans, we cannot only form a decision on the spot, but
also ponder, revisiting an initial guess from different angles, distilling
relevant information, arriv... | http://arxiv.org/abs/2309.07513v1 |
Alfven wave is the single most important physical phenomenon of
magneto-hydrodynamic turbulence and has far-reaching impact to almost all
studies related to astrophysical magnetic field. Yet the restoration of the
Alfven wave fluctuations from a given magnetic field, aka the local Alfven wave
problem, is never properly... | http://arxiv.org/abs/2301.13344v1 |
A resampling scheme provides a way to switch low-weight particles for
sequential Monte Carlo with higher-weight particles representing the objective
distribution. The less the variance of the weight distribution is, the more
concentrated the effective particles are, and the quicker and more accurate it
is to approximat... | http://arxiv.org/abs/2309.08620v1 |
Federated Learning (FL) is an evolving machine learning method in which
multiple clients participate in collaborative learning without sharing their
data with each other and the central server. In real-world applications such as
hospitals and industries, FL counters the challenges of data heterogeneity and
model hetero... | http://arxiv.org/abs/2308.00155v1 |
Recommendation systems are widely used in web services, such as social
networks and e-commerce platforms, to serve personalized content to the users
and, thus, enhance their experience. While personalization assists users in
navigating through the available options, there have been growing concerns
regarding its reperc... | http://arxiv.org/abs/2309.08967v2 |
This paper describes a framework for learning Automated Vehicles (AVs) driver
models via knowledge sharing between vehicles and personalization. The innate
variability in the transportation system makes it exceptionally challenging to
expose AVs to all possible driving scenarios during empirical experimentation
or test... | http://arxiv.org/abs/2308.16870v1 |
Maintaining legacy software requires many software and systems engineering
hours. Assembly code programs, which demand low-level control over the computer
machine state and have no variable names, are particularly difficult for humans
to analyze. Existing conventional program translators guarantee correctness,
but are ... | http://arxiv.org/abs/2309.14396v2 |
Large Language Models (LLMs) are evolving at an unprecedented pace and have
exhibited considerable capability in the realm of natural language processing
(NLP) with world knowledge. Benefiting from ultra-large-scale training corpora,
a single LLM can manage typical NLP tasks competently. However, its performance
in exe... | http://arxiv.org/abs/2310.00280v3 |
Large language models (LLMs) have achieved significant progress from
pre-training on and memorizing a wide range of textual data, however, this
process might suffer from privacy issues and violations of data protection
regulations. As a result, the ability to easily remove data related to
individual users from such mod... | http://arxiv.org/abs/2310.20150v1 |
The soft theorem states that scattering amplitude in gauge theory with a soft
gauge-boson emission can be factorized into a hard scattering amplitude and a
soft factor. In this paper, we present calculations of the soft factor for
processes involving two hard colored partons, up to three loops in QCD. To
accomplish thi... | http://arxiv.org/abs/2309.03832v2 |
Transferring the pose of a reference avatar to stylized 3D characters of
various shapes is a fundamental task in computer graphics. Existing methods
either require the stylized characters to be rigged, or they use the stylized
character in the desired pose as ground truth at training. We present a
zero-shot approach th... | http://arxiv.org/abs/2306.00200v1 |
We have investigated the peculiarities of nuclear descent from a parabolic
fission barrier within a generalized Langevin equation with power--law
$f(t-t')=(|t-t'|/\tau)^{-\alpha}$ memory function. We have observed much
stronger slowing down of the nuclear descent in the presence of long--range
memory effects, caused by... | http://arxiv.org/abs/2309.10696v1 |
We investigate the memory effects under oscillatory shear deformation of
amorphous solids through computer simulations. Applications of shear
deformations in all orthogonal directions show that encoded memories via this
protocol are more robust while performing reading. Our extensive system size
analysis of memory effe... | http://arxiv.org/abs/2309.10682v1 |
We obtain local regularity for minimizers of autonomous vectorial integrals
of the Calculus of Variations, assuming $\psi$-growth hypothesis and imposing
$\varphi$ - quasiconvexity assumptions only in asymptotic sense, both in the
sub-quadratic and the super-quadratic case. In particular we obtain
$C^{1,\alpha}$ regula... | http://arxiv.org/abs/2306.17768v1 |
Online optimization has gained increasing interest due to its capability of
tracking real-world streaming data. Although online optimization methods have
been widely studied in the setting of frequentist statistics, few works have
considered online optimization with the Bayesian sampling problem. In this
paper, we stud... | http://arxiv.org/abs/2302.14796v1 |
Deep learning's immense capabilities are often constrained by the complexity
of its models, leading to an increasing demand for effective sparsification
techniques. Bayesian sparsification for deep learning emerges as a crucial
approach, facilitating the design of models that are both computationally
efficient and comp... | http://arxiv.org/abs/2309.12095v2 |
How frequently do individuals thoroughly review terms and conditions before
proceeding to register for a service, install software, or access a website?
The majority of internet users do not engage in this practice. This trend is
not surprising, given that terms and conditions typically consist of lengthy
documents rep... | http://arxiv.org/abs/2309.14382v1 |
We introduce EELBERT, an approach for compression of transformer-based models
(e.g., BERT), with minimal impact on the accuracy of downstream tasks. This is
achieved by replacing the input embedding layer of the model with dynamic, i.e.
on-the-fly, embedding computations. Since the input embedding layer accounts
for a ... | http://arxiv.org/abs/2310.20144v1 |
Arrays of artificial spin ices exhibit reconfigurable ferromagnetic resonance
frequencies that can be leveraged and designed for potential
applications.However, analytical and numerical studies of the frequency
response of artificial spin ices have remained somewhat limited due to the need
of take into account nonlocal... | http://arxiv.org/abs/2309.03826v2 |
Energy landscape analysis is a data-driven method to analyze multidimensional
time series, including functional magnetic resonance imaging (fMRI) data. It
has been shown to be a useful characterization of fMRI data in health and
disease. It fits an Ising model to the data and captures the dynamics of the
data as moveme... | http://arxiv.org/abs/2305.19573v2 |
Using an analytic model, we derive the eigenfrequencies for thermal Rossby
waves that are trapped radially and latitudinally in an isentropically
stratified atmosphere. We ignore the star's curvature and work in an equatorial
f-plane geometry. The propagation of inertial waves is found to be sensitive to
the relative d... | http://arxiv.org/abs/2309.12903v1 |
We propose to apply several gradient estimation techniques to enable the
differentiation of programs with discrete randomness in High Energy Physics.
Such programs are common in High Energy Physics due to the presence of
branching processes and clustering-based analysis. Thus differentiating such
programs can open the ... | http://arxiv.org/abs/2308.16680v1 |
In the late 1960s, a young physicist was sailing along the coast of
California towards Berkeley, where he got a post-doc position in astronomy. But
his real goal was not astronomy, at least not immediately. First, John Clauser
eagerly wanted to test some predictions of quantum theory that were at odds
with a then recen... | http://arxiv.org/abs/2309.06962v1 |
A/B testing is an effective way to assess the potential impacts of two
treatments. For A/B tests conducted by IT companies, the test users of A/B
testing are often connected and form a social network. The responses of A/B
testing can be related to the network connection of test users. This paper
discusses the relations... | http://arxiv.org/abs/2309.08797v1 |
Several decades ago, Support Vector Machines (SVMs) were introduced for
performing binary classification tasks, under a supervised framework. Nowadays,
they often outperform other supervised methods and remain one of the most
popular approaches in the machine learning arena. In this work, we investigate
the training of... | http://arxiv.org/abs/2308.16858v1 |
In this paper, we study an age of information minimization problem in
continuous-time and discrete-time status updating systems that involve multiple
packet flows, multiple servers, and transmission errors. Four scheduling
policies are proposed. We develop a unifying sample-path approach and use it to
show that, when t... | http://arxiv.org/abs/2310.00243v2 |
Preserving privacy and reducing communication costs for edge users pose
significant challenges in recommendation systems. Although federated learning
has proven effective in protecting privacy by avoiding data exchange between
clients and servers, it has been shown that the server can infer user ratings
based on update... | http://arxiv.org/abs/2310.20193v1 |
The statistical analysis of large scale legal corpus can provide valuable
legal insights. For such analysis one needs to (1) select a subset of the
corpus using document retrieval tools, (2) structure text using information
extraction (IE) systems, and (3) visualize the data for the statistical
analysis. Each process d... | http://arxiv.org/abs/2309.04146v2 |
In this paper we establish limit theorems for power variations of stochastic
processes controlled by fractional Brownian motions with Hurst parameter $H\leq
1/2$. We show that the power variations of such processes can be decomposed
into the mix of several weighted random sums plus some remainder terms, and the
converg... | http://arxiv.org/abs/2309.03629v1 |
The Defense Advanced Research Projects Agency (DARPA) OFFensive Swarm-Enabled
Tactics program's goal of launching 250 unmanned aerial and ground vehicles
from a limited sized launch zone was a daunting challenge. The swarm's aerial
vehicles were primarily multirotor platforms, which can efficiently be launched
en masse... | http://arxiv.org/abs/2307.16788v1 |
Object movement identification is one of the most researched problems in the
field of computer vision. In this task, we try to classify a pixel as
foreground or background. Even though numerous traditional machine learning and
deep learning methods already exist for this problem, the two major issues with
most of them ... | http://arxiv.org/abs/2301.00264v1 |
The lighting requirements are subjective and one light setting cannot work
for all. However, there is little work on developing smart lighting algorithms
that can adapt to user preferences. To address this gap, this paper uses fuzzy
logic and reinforcement learning to develop an adaptive lighting algorithm. In
particul... | http://arxiv.org/abs/2310.00525v1 |
A few percent of red giants are enriched in Lithium with $A(\mathrm{Li}) >
1.5$. The evolutionary phase of the Li-rich red giants has remained uncertain
because they could be placed both on the red-giant branch (RGB) near the bump
luminosity and in the red clump (RC) region. However, thanks to
asteroseismology, it has ... | http://arxiv.org/abs/2309.04634v1 |
We leverage physics-embedded differentiable graph network simulators (GNS) to
accelerate particulate and fluid simulations to solve forward and inverse
problems. GNS represents the domain as a graph with particles as nodes and
learned interactions as edges. Compared to modeling global dynamics, GNS
enables learning loc... | http://arxiv.org/abs/2309.13348v1 |
Despite significant improvements in robot capabilities, they are likely to
fail in human-robot collaborative tasks due to high unpredictability in human
environments and varying human expectations. In this work, we explore the role
of explanation of failures by a robot in a human-robot collaborative task. We
present a ... | http://arxiv.org/abs/2309.10127v1 |
Gender bias in education gained considerable relevance in the literature over
the years. However, while the problem of gender bias in education has been
widely addressed from a student perspective, it is still not fully analysed
from an academic point of view. In this work, we study the problem of gender
bias in academ... | http://arxiv.org/abs/2309.11239v1 |
Human affect recognition has been a significant topic in psychophysics and
computer vision. However, the currently published datasets have many
limitations. For example, most datasets contain frames that contain only
information about facial expressions. Due to the limitations of previous
datasets, it is very hard to e... | http://arxiv.org/abs/2309.06745v3 |
The admixture of spin-singlet and spin-triplet pairing states in
superconductors can be typically induced by breaking spatial inversion
symmetry. Employing the {\it numerically exact} auxiliary-field Quantum Monte
Carlo method, we study such mixed-parity pairing phenomena of attractive
fermions with Rashba spin-orbit c... | http://arxiv.org/abs/2308.16657v2 |
Low x-ray dose is desirable in x-ray computed tomographic (CT) imaging due to
health concerns. But low dose comes with a cost of low signal artifacts such as
streaks and low frequency bias in the reconstruction. As a result, low signal
correction is needed to help reduce artifacts while retaining relevant
anatomical st... | http://arxiv.org/abs/2309.13406v1 |
In this paper, we present a novel approach to navigating endoluminal
channels, specifically within the bronchial tubes, using Q-learning, a
reinforcement learning algorithm. The proposed method involves training a
Q-learning agent to navigate a simulated environment resembling bronchial
tubes, with the ultimate goal of... | http://arxiv.org/abs/2309.03615v1 |
Photometric data were used to perform the first light curve analysis of the
V0610 Vir binary system. Observations and analysis were done in the form of the
Binary Systems of South and North (BSN) Project. We extracted the minima from
our observations and compiled the literature, which was few. Therefore, we
performed c... | http://arxiv.org/abs/2309.14369v3 |
Fine-grained classification often requires recognizing specific object parts,
such as beak shape and wing patterns for birds. Encouraging a fine-grained
classification model to first detect such parts and then using them to infer
the class could help us gauge whether the model is indeed looking at the right
details bet... | http://arxiv.org/abs/2309.03173v1 |
Demand Side Response (DSR) is a strategy that enables consumers to actively
participate in managing electricity demand. It aims to alleviate strain on the
grid during high demand and promote a more balanced and efficient use of
(renewable) electricity resources. We implement DSR through discount
scheduling, which invol... | http://arxiv.org/abs/2309.05502v2 |
A theoretical analysis of the finite element method for a generalized Robin
boundary value problem, which involves a second-order differential operator on
the boundary, is presented. If $\Omega$ is a general smooth domain with a
curved boundary, we need to introduce an approximate domain $\Omega_h$ and to
address issue... | http://arxiv.org/abs/2310.00519v1 |
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