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Multi-Object Tracking, also known as Multi-Target Tracking, is a significant
area of computer vision that has many uses in a variety of settings. The
development of deep learning, which has encouraged researchers to propose more
and more work in this direction, has significantly impacted the scientific
advancement arou... | http://arxiv.org/abs/2308.01248v1 |
The complexity of the operating environment and required technologies for
highly automated driving is unprecedented. A different type of threat to safe
operation besides the fault-error-failure model by Laprie et al. arises in the
form of performance limitations. We propose a system theoretic approach to
handle these a... | http://arxiv.org/abs/2303.04042v1 |
This work presents our efforts to reproduce the results of the human
evaluation experiment presented in the paper of Vamvas and Sennrich (2022),
which evaluated an automatic system detecting over- and undertranslations
(translations containing more or less information than the original) in machine
translation (MT) outp... | http://arxiv.org/abs/2308.06527v1 |
Quantum transport and localization are fundamental concepts in condensed
matter physics. It is commonly believed that in one-dimensional systems, the
existence of mobility edges is highly dependent on disorder. Recently, there
has been a debate over the existence of an exact mobility edge in a modulated
mosaic model wi... | http://arxiv.org/abs/2306.10831v2 |
The IOTA Proton Injector (IPI), currently under installation at the Fermilab
Accelerator Science and Technology facility, is a beamline capable of
delivering 20-mA pulses of protons at 2.5 MeV to the Integrable Optics Test
Accelerator (IOTA) ring. First beam in the IPI beamline is anticipated in 2023,
when it will oper... | http://arxiv.org/abs/2305.09830v1 |
We present an asymptotic and numerical study of the evolution of an incoming
wavefield which has a caustic close to a curve with an inflection point. Our
results reveal the emergence of a wavefield which resembles that of a shadow
boundary but has a maximum amplitude along the tangent at the inflection point. | http://arxiv.org/abs/2310.13406v2 |
The primary operation in DNNs is the dot product of quantized input
activations and weights. Prior works have proposed the design of memory-centric
architectures based on the Processing-In-Memory (PIM) paradigm. Resistive RAM
(ReRAM) technology is especially appealing for PIM-based DNN accelerators due
to its high dens... | http://arxiv.org/abs/2306.16298v1 |
In this work, we investigate an intriguing and prevalent phenomenon of
diffusion models which we term as "consistent model reproducibility": given the
same starting noise input and a deterministic sampler, different diffusion
models often yield remarkably similar outputs. We confirm this phenomenon
through comprehensiv... | http://arxiv.org/abs/2310.05264v4 |
The Internet of Energy (IoE) is a distributed paradigm that leverages smart
networks and distributed system technologies to enable decentralized energy
systems. In contrast to the traditional centralized energy systems, distributed
Energy Internet systems comprise multiple components and communication
requirements that... | http://arxiv.org/abs/2306.17186v1 |
In this work, we are dedicated to leveraging the BERT pre-training success
and modeling the domain-specific statistics to fertilize the sign language
recognition~(SLR) model. Considering the dominance of hand and body in sign
language expression, we organize them as pose triplet units and feed them into
the Transformer... | http://arxiv.org/abs/2302.05075v3 |
In this study, we evaluated the capability of Large Language Models (LLMs),
particularly OpenAI's GPT-4, in detecting software vulnerabilities, comparing
their performance against traditional static code analyzers like Snyk and
Fortify. Our analysis covered numerous repositories, including those from NASA
and the Depar... | http://arxiv.org/abs/2308.10345v1 |
We present a study of the standard plasma physics test, Landau damping, using
the Particle-In-Cell (PIC) algorithm. The Landau damping phenomenon consists of
the damping of small oscillations in plasmas without collisions. In the PIC
method, a hybrid discretization is constructed with a grid of finitely
supported basis... | http://arxiv.org/abs/2303.12620v1 |
In this work, cross section calculations of bound-free pair production (BFPP)
are done for the mechanism in Pb-p collisions at LHC. BFPP cross section for
the asymmetric collisions of Pb-p at the center of mass energies of
$\sqrt{s_{NN}}=5,02 TeV$ and $\sqrt{s_{NN}}=8,16 TeV$ is computed. In order to
reach the exact re... | http://arxiv.org/abs/2306.07395v1 |
In the study of the behavior of centrality measures with respect to network
modifications, score monotonicity means that adding an arc increases the
centrality score of the target of the arc; rank monotonicity means that adding
an arc improves the importance of the target of the arc relative to the
remaining nodes. It ... | http://arxiv.org/abs/2309.00519v2 |
Online string matching is a computational problem involving the search for
patterns or substrings in a large text dataset, with the pattern and text being
processed sequentially, without prior access to the entire text. Its relevance
stems from applications in data compression, data mining, text editing, and
bioinforma... | http://arxiv.org/abs/2310.15711v1 |
Keypoint detection & descriptors are foundational tech-nologies for computer
vision tasks like image matching, 3D reconstruction and visual odometry.
Hand-engineered methods like Harris corners, SIFT, and HOG descriptors have
been used for decades; more recently, there has been a trend to introduce
learning in an attem... | http://arxiv.org/abs/2304.06194v1 |
The Vera C. Rubin Observatory is expected to start the Legacy Survey of Space
and Time (LSST) in early to mid-2025. This multi-band wide-field synoptic
survey will transform our view of the solar system, with the discovery and
monitoring of over 5 million small bodies.The final survey strategy chosen for
LSST has direc... | http://arxiv.org/abs/2303.02355v2 |
Active learning (AL), which aims to construct an effective training set by
iteratively curating the most formative unlabeled data for annotation, has been
widely used in low-resource tasks. Most active learning techniques in
classification rely on the model's uncertainty or disagreement to choose
unlabeled data, suffer... | http://arxiv.org/abs/2310.05502v3 |
Prior studies generally focus on software vulnerability detection and have
demonstrated the effectiveness of Graph Neural Network (GNN)-based approaches
for the task. Considering the various types of software vulnerabilities and the
associated different degrees of severity, it is also beneficial to determine
the type o... | http://arxiv.org/abs/2306.06935v1 |
The growing prevalence of near-term intermediate-scale quantum (NISQ) systems
has brought forth a heightened focus on the issue of circuit reliability.
Several quantum computing activities, such as circuit design and multi-qubit
mapping, are focused on enhancing reliability via the use of different
optimization techniq... | http://arxiv.org/abs/2305.11919v2 |
Due to the light absorption and scattering induced by the water medium,
underwater images usually suffer from some degradation problems, such as low
contrast, color distortion, and blurring details, which aggravate the
difficulty of downstream underwater understanding tasks. Therefore, how to
obtain clear and visually ... | http://arxiv.org/abs/2306.08918v1 |
We revisit and generalize the geometric procedure of regularizing a sequence
of real numbers with respect to a so-called regularizing function. This
approach was studied by S. Mandelbrojt and becomes useful and necessary when
working with corresponding classes of ultradifferentiable functions defined via
weight sequenc... | http://arxiv.org/abs/2307.07902v3 |
Within a strongly interacting Fermi liquid framework, we calculate the
effects of the Zeeman energy $\omega_H$ for a finite magnetic field, in a
metallic system with a van Hove peak in the density of states, located close to
and below the Fermi surface. We find that the chemical potential increases with
the square of $... | http://arxiv.org/abs/2305.18083v2 |
Bogomolny approach in the context of strong necessary conditions is
formulated for the case of various superconducting and semiconductor
structures. Certain results were obtained for a constant magnetic field, which
experimentally corresponds to spiral-like superconducting cable placed inside
solenoid. | http://arxiv.org/abs/2308.09172v1 |
We present a framework for the formal meta-theory of lambda calculi in
first-order syntax, with two sorts of names, one to represent both free and
bound variables, and the other for constants, and by using Stoughton's multiple
substitutions. On top of the framework we formalize Girard's proof of the
Strong Normalizatio... | http://arxiv.org/abs/2303.13258v1 |
We introduce Deep Augmentation, an approach to implicit data augmentation
using dropout or PCA to transform a targeted layer within a neural network to
improve performance and generalization. We demonstrate Deep Augmentation
through extensive experiments on contrastive learning tasks in NLP, computer
vision, and graph ... | http://arxiv.org/abs/2303.14537v2 |
The p-wave Cooper-pairing instability in superfluid $^{3}$He, characterized
by a parity-breaking excitation gap, is regarded as one of the most rich and
complex phenomena in physics. The possibility of a counterpart unconventional
p-wave ordering of interacting fermions, in which a Fermi surface spontaneously
breaks th... | http://arxiv.org/abs/2309.01607v3 |
Despite the promising results, existing oriented object detection methods
usually involve heuristically designed rules, e.g., RRoI generation, rotated
NMS. In this paper, we propose an end-to-end framework for oriented object
detection, which simplifies the model pipeline and obtains superior
performance. Our framework... | http://arxiv.org/abs/2303.00542v1 |
This paper addresses the problem of ranking pre-trained models for object
detection and image classification. Selecting the best pre-trained model by
fine-tuning is an expensive and time-consuming task. Previous works have
proposed transferability estimation based on features extracted by the
pre-trained models. We arg... | http://arxiv.org/abs/2308.02027v1 |
Blazar jet structure can be indirectly resolved by analyzing the
multiwavelength variability. In this work, we analyze the long-term variability
of blazars in radio, optical and X-ray energies with the Gaussian process (GP)
method. The multiwavelength variability can be successfully characterized by
the damped-random w... | http://arxiv.org/abs/2301.01025v1 |
The automatic analysis of chemical literature has immense potential to
accelerate the discovery of new materials and drugs. Much of the critical
information in patent documents and scientific articles is contained in
figures, depicting the molecule structures. However, automatically parsing the
exact chemical structure... | http://arxiv.org/abs/2308.12234v1 |
We study the one-dimensional tight-binding model with quasi-periodic
disorders, where the quasi-period is tuned to be very large. It is found that
this type of model with large quasi-periodic disorders can also support the
mobility edges, which is very similar to the models with slowly varying
quasi-periodic disorders.... | http://arxiv.org/abs/2302.10478v1 |
We introduce the logical grammar emdebbing (LGE), a model inspired by
pregroup grammars and categorial grammars to enable unsupervised inference of
lexical categories and syntactic rules from a corpus of text. LGE produces
comprehensible output summarizing its inferences, has a completely transparent
process for produc... | http://arxiv.org/abs/2304.14590v2 |
Crowding at the entrances of large events may lead to critical and
life-threatening situations, particularly when people start pushing each other
to reach the event faster. Automatic and timely identification of pushing
behavior would help organizers and security forces to intervene early and
mitigate dangerous situati... | http://arxiv.org/abs/2302.08237v2 |
Synthetic Aperture Radar is known to be able to provide high-resolution
estimates of surface wind speed. These estimates usually rely on a Geophysical
Model Function (GMF) that has difficulties accounting for non-wind processes
such as rain events. Convolutional neural network, on the other hand, have the
capacity to u... | http://arxiv.org/abs/2303.09200v2 |
We formulate the hydrodynamics of active columnar phases, with
two-dimensional translational order in the plane perpendicular to the columns
and no elastic restoring force for relative sliding of the columns, using the
general formalism of an active model H$^*$. Our predictions include:
two-dimensional odd elasticity c... | http://arxiv.org/abs/2306.03695v3 |
The multi-sentential long sequence textual data unfolds several interesting
research directions pertaining to natural language processing and generation.
Though we observe several high-quality long-sequence datasets for English and
other monolingual languages, there is no significant effort in building such
resources f... | http://arxiv.org/abs/2302.11766v1 |
This article presents a multifield asymptotic homogenization scheme for the
analysis of Bloch wave propagation in non-standard thermoelastic periodic
materials, leveraging on the Green-Linsdsay theory that accounts for two
relaxation times. The procedure involves several steps. Firstly, an asymptotic
expansion of the m... | http://arxiv.org/abs/2308.04456v1 |
Problem 155 of the Scottish Book asks whether every bijection $U\colon X\to
Y$ between two Banach spaces $X, Y$ with the property that, each point of $X$
has a neighborhood on which $U$ is isometric, is globally isometric on $X$. We
prove that this is true under the additional assumption that $X$ is separable
and the w... | http://arxiv.org/abs/2308.03339v1 |
Magnonics or magnon spintronics is an emerging field focusing on generating,
detecting, and manipulating magnons. As charge-neutral quasi-particles, magnons
are promising information carriers because of their low energy dissipation and
long coherence length. In the past decade, topological phases in magnonics have
attr... | http://arxiv.org/abs/2305.14861v2 |
Purpose: Medical imaging has become increasingly important in diagnosing and
treating oncological patients, particularly in radiotherapy. Recent advances in
synthetic computed tomography (sCT) generation have increased interest in
public challenges to provide data and evaluation metrics for comparing
different approach... | http://arxiv.org/abs/2303.16320v1 |
We describe the chiral Kondo chain model based on the symplectic Kondo effect
and demonstrate that it has a quantum critical ground state populated by
non-Abelian anyons. We show that the fusion channel of two arbitrary anyons can
be detected by locally coupling the two anyons to an extra single channel of
chiral curre... | http://arxiv.org/abs/2309.03010v5 |
As AI technology advances rapidly, concerns over the risks of bigness in
digital markets are also growing. The EU's Digital Markets Act (DMA) aims to
address these risks. Still, the current framework may not adequately cover
generative AI systems that could become gateways for AI-based services. This
paper argues for i... | http://arxiv.org/abs/2308.02033v1 |
We provide a combinatorial and self-contained proof that for all graphs $G$
embedded on a surface $S$, the Colin de Verdi\`ere parameter $\mu(G)$ is upper
bounded by $7-2\chi(S)$. | http://arxiv.org/abs/2303.00556v2 |
This paper presents novel methods for parameter identification in electrical
grids with small numbers of spatially distributed measuring devices, which is
an issue for distribution system operators managing aged and not properly
mapped underground Low Voltage (LV) grids, especially in Germany. For this
purpose, the tot... | http://arxiv.org/abs/2306.03859v2 |
In this article, we introduce a non-negative integer valued function that
measures the obstruction for converting any topological isotopy between two
Legendrian knots into a Legendrian isotopy. We refer to this function as Cost
function. We show that the Cost function induces a metric on the set of
topologically isotop... | http://arxiv.org/abs/2307.13963v1 |
For energy efficient operation of the massive multiple-input multiple-output
(MIMO) networks, various aspects of energy efficiency maximization have been
addressed, where a careful selection of number of active antennas has shown
significant gains. Moreover, switching-off physical resource blocks (PRBs) and
carrier shu... | http://arxiv.org/abs/2302.08223v4 |
Humans often interact with large language models (LLMs) in multi-turn
interaction to obtain desired answers or more information. However, most
existing studies overlook the multi-turn instruction following ability of LLMs,
in terms of training dataset, training method, and evaluation benchmark. In
this paper, we introd... | http://arxiv.org/abs/2310.07301v2 |
The Rowhammer vulnerability continues to get worse, with the Rowhammer
Threshold (TRH) reducing from 139K activations to 4.8K activations over the
last decade. Typical Rowhammer mitigations rely on tracking aggressor rows. The
number of possible aggressors increases with lowering thresholds, making it
difficult to reli... | http://arxiv.org/abs/2308.14889v2 |
Analysing the impact of bottom friction on shallow water waves over bottom
terrains is important in areas including environmental and coastal engineering
as well as the oceanic and atmospheric sciences. However, current theoretical
developments rely on making certain limiting assumptions about these flows and
thus more... | http://arxiv.org/abs/2304.14584v1 |
The thermal history of the intergalactic medium is full of extremely useful
data in the field of astrophysics and cosmology. In other words, by examining
this environment in different redshifts, the effects of cosmology and
astrophysics can be observed side by side. Therefore, simulation is our very
powerful tool to re... | http://arxiv.org/abs/2306.12954v1 |
Coronal mass ejections (CMEs) are some of the most energetic and violent
events in our solar system. The prediction and understanding of CMEs is of
particular importance due to the impact that they can have on Earth-based
satellite systems, and in extreme cases, ground-based electronics. CMEs often
occur when long-live... | http://arxiv.org/abs/2301.08773v1 |
We consider the problem of online interval scheduling on a single machine,
where intervals arrive online in an order chosen by an adversary, and the
algorithm must output a set of non-conflicting intervals. Traditionally in
scheduling theory, it is assumed that intervals arrive in order of increasing
start times. We dr... | http://arxiv.org/abs/2303.06127v3 |
LoopBoxes is an accessible digital musical instrument designed to create an
intuitive access to loop based music making for children with special
educational needs (SEN). This paper describes the evaluation of the instrument
in the form of a pilot study during a music festival in Berlin, Germany, as
well as a case stud... | http://arxiv.org/abs/2305.14875v1 |
Caching can be leveraged to significantly improve network performance and
mitigate congestion. However, characterizing the optimal tradeoff between
routing cost and cache deployment cost remains an open problem. In this paper,
for a network with arbitrary topology and congestion-dependent nonlinear cost
functions, we a... | http://arxiv.org/abs/2303.01648v1 |
We investigate the mechanisms by which inertial particles dispersed at
semi-dilute conditions cause significant drag-reduction in a turbulent channel
flow at $\mathrm{Re}_\tau = 180$. We consider a series of four-way coupled
Euler-Lagrange simulations where particles having friction Stokes number
$\mathrm{St}^+ = 6$ or... | http://arxiv.org/abs/2303.16334v1 |
Along with the development of systems for natural language understanding and
generation, dialog systems have been widely adopted for language learning and
practicing. Many current educational dialog systems perform chitchat, where the
generated content and vocabulary are not constrained. However, for learners in
a scho... | http://arxiv.org/abs/2304.05489v1 |
We consider a system of multiple sources, a single communication channel, and
a single monitoring station. Each source measures a time-varying quantity with
varying levels of accuracy and one of them sends its update to the monitoring
station via the channel. The probability of success of each attempted
communication i... | http://arxiv.org/abs/2310.15705v1 |
Consistency Models (CM) (Song et al., 2023) accelerate score-based diffusion
model sampling at the cost of sample quality but lack a natural way to
trade-off quality for speed. To address this limitation, we propose Consistency
Trajectory Model (CTM), a generalization encompassing CM and score-based models
as special c... | http://arxiv.org/abs/2310.02279v3 |
Observations of local star-forming galaxies (SFGs) show a tight correlation
between their singly ionized carbon line luminosity ($L_{\rm [C_{II}]}$) and
star formation rate (SFR), suggesting that $L_{\rm [C_{II}]}$ may be a useful
SFR tracer for galaxies. Some other galaxy populations, however, are found to
have lower ... | http://arxiv.org/abs/2301.04149v4 |
Analytically solvable models are benchmarks in studies of phase transitions
and pattern-forming bifurcations. Such models are known for phase transitions
of the second kind in uniform media, but not for localized states (solitons),
as integrable equations which produce solitons do not admit intrinsic
transitions in the... | http://arxiv.org/abs/2308.08278v1 |
We propose a supervised learning framework for computing solutions of
multi-parametric Mixed Integer Linear Programs (MILPs) that arise in Model
Predictive Control. Our approach also quantifies sub-optimality for the
computed solutions. Inspired by Branch-and-Bound techniques, the key idea is to
train a Neural Network/... | http://arxiv.org/abs/2303.12152v2 |
The nitrogen-vacancy (NV) centers in diamond have ability to sense
alternating-current (AC) magnetic fields with high spatial resolution. However,
the frequency range of AC sensing protocols based on dynamical decoupling (DD)
sequences has not been thoroughly explored experimentally. In this work, we
aimed to determine... | http://arxiv.org/abs/2308.10437v1 |
Split learning enables collaborative deep learning model training while
preserving data privacy and model security by avoiding direct sharing of raw
data and model details (i.e., sever and clients only hold partial sub-networks
and exchange intermediate computations). However, existing research has mainly
focused on ex... | http://arxiv.org/abs/2307.07916v2 |
Unsupervised object-centric representation (OCR) learning has recently drawn
attention as a new paradigm of visual representation. This is because of its
potential of being an effective pre-training technique for various downstream
tasks in terms of sample efficiency, systematic generalization, and reasoning.
Although ... | http://arxiv.org/abs/2302.04419v3 |
We conduct a comprehensive spectro-temporal analysis of repeating Fast Radio
Bursts (FRBs) utilizing nine distinct sources, the largest sample to date. Our
data set includes 175 sub-bursts and 31 multi-component bursts from 11 data
sets, with centre frequencies ranging from 149--7144 MHz and durations spanning
from 73 ... | http://arxiv.org/abs/2308.11729v2 |
Smart contracts are nowadays at the core of most blockchain systems, as they
specify and allow an agreement between entities that wish to perform a
transaction. As any computer program, smart contracts are subject to the
presence of residual faults, including severe security vulnerabilities, which
require that the vuln... | http://arxiv.org/abs/2303.14523v2 |
Entangled objects such as entangled graphs and weaves are often seen in
nature. In the present article, two identical graphs entangled, and weaves with
two different color threads are studied. A method to identify stable
configurations in the three dimensional space of a given topological entangled
structure, a planar ... | http://arxiv.org/abs/2309.01613v1 |
Non-terrestrial networks (NTNs) are considered one of the key enablers in
sixth-generation (6G) wireless networks; and with their rapid growth,
system-level metrics analysis adds crucial understanding into NTN system
performance. Applying stochastic geometry (SG) as a system-level analysis tool
in the context of NTN of... | http://arxiv.org/abs/2302.03376v2 |
When studying the association between treatment and a clinical outcome, a
parametric multivariable model of the conditional outcome expectation is often
used to adjust for covariates. The treatment coefficient of the outcome model
targets a conditional treatment effect. Model-based standardization is
typically applied ... | http://arxiv.org/abs/2305.08284v3 |
We use large simulations of Lyman-Alpha Emitters with different fractions of
ionized intergalactic medium to quantify the clustering of Ly$\alpha$ emitters
as measured by the Void Probability function (VPF), and how it evolves under
different ionization scenarios. We quantify how well we might be able to
distinguish be... | http://arxiv.org/abs/2304.01837v1 |
The spin-to-charge conversion phenomena is investigated in a trilayer
structure consisting of Co(12 nm)/Sb(t)/Py(12 nm), where the thickness t of the
antimony layer is varied. Using the spin-pumping technique, a pure spin current
is injected from both FM layers into the middle layer, the DC voltage is then
measured. We... | http://arxiv.org/abs/2309.01175v1 |
Black-box optimization methods play an important role in many fields of
computational simulation. In particular, such methods are often used in the
design and modelling of biological systems, including proteins and their
complexes with various ligands. This work is mainly focused on the
protein-protein docking that pla... | http://arxiv.org/abs/2302.03410v1 |
In this paper, we study a navigation problem where a mobile robot needs to
locate a mmWave wireless signal. Using the directionality properties of the
signal, we propose an estimation and path planning algorithm that can
efficiently navigate in cluttered indoor environments. We formulate Extended
Kalman filters for emi... | http://arxiv.org/abs/2303.03739v2 |
In this paper, we introduce a new quantum protocol for Detectable Byzantine
Agreement. What distinguishes the proposed protocol among similar quantum
protocols, is the fact that it uses only EPR pairs, and, in particular, $\Psi^{
+ }$ pairs. There are many sophisticated quantum protocols that guarantee
Detectable Byzan... | http://arxiv.org/abs/2306.10825v2 |
It was recently shown that the optical excitation of rare-earth ions produces
a local change of the host matrix shape, attributed to a change of the
rare-earth ion's electronic orbital geometry. In this work we investigate the
consequences of this piezo-orbital backaction and show from a macroscopic model
how it yields... | http://arxiv.org/abs/2301.05531v2 |
The immiscibility of hydrogen-helium mixture under the temperature and
pressure conditions of planetary interiors is crucial for understanding the
structures of gas giant planets (e.g., Jupiter and Saturn). While the
experimental probe at such extreme conditions is challenging, theoretical
simulation is heavily relied ... | http://arxiv.org/abs/2310.13412v2 |
Art restoration is crucial for preserving cultural heritage, but traditional
methods have limitations in faithfully reproducing original artworks while
addressing issues like fading, staining, and damage. We present an innovative
approach using deep learning, specifically Convolutional Neural Networks
(CNNs), and Compu... | http://arxiv.org/abs/2310.05270v1 |
Motivated by the increasing popularity and importance of large-scale training
under differential privacy (DP) constraints, we study distributed gradient
methods with gradient clipping, i.e., clipping applied to the gradients
computed from local information at the nodes. While gradient clipping is an
essential tool for ... | http://arxiv.org/abs/2305.18929v1 |
In this study, we construct a 1+1-dimensional, relativistic, free, complex
scalar Quantum Field Theory on the noncommutative spacetime known as lightlike
$\kappa$-Minkowski. The associated $\kappa$-Poincar\'e quantum group of
isometries is triangular, and its quantum R matrix enables the definition of a
braided algebra... | http://arxiv.org/abs/2310.15063v2 |
Most existing approaches of differentially private (DP) machine learning
focus on private training. Despite its many advantages, private training lacks
the flexibility in adapting to incremental changes to the training dataset such
as deletion requests from exercising GDPR's right to be forgotten. We revisit a
long-for... | http://arxiv.org/abs/2306.07381v1 |
The recently identified source class of pulsar halos may be populated and
bright enough at TeV energies to constitute a large fraction of the sources
that will be observed with the Cherenkov Telescope Array (CTA), especially in
the context of the planned Galactic Plane Survey (GPS). In this study, we
examine the prospe... | http://arxiv.org/abs/2310.01016v1 |
Binary phylogenetic trees inferred from biological data are central to
understanding the shared history among evolutionary units. However, inferring
the placement of latent nodes in a tree is NP-hard and thus computationally
expensive. State-of-the-art methods rely on carefully designed heuristics for
tree search. Thes... | http://arxiv.org/abs/2304.12693v3 |
We introduce sparse versions of function spaces that are relevant to
characterize the solutions of Euler equations without concentration. The
standard Sobolev space $H^{-1}$ is given a sparse structure that allows to
measure the degree of compactness of embeddings into $H^{-1}$ and provides new
quantitative general cri... | http://arxiv.org/abs/2310.19659v1 |
Spontaneous symmetry breaking is ubiquitous phenomenon in nature. One of the
defining features of symmetry broken phases is that the large system size limit
and the vanishing external field limit do not commute. In this work, we study a
family of extensions of the $N$-state clock model. We find that the exact
symmetry ... | http://arxiv.org/abs/2302.01207v2 |
Computed tomography (CT) is routinely used in clinical practice to evaluate a
wide variety of medical conditions. While CT scans provide diagnoses, they also
offer the ability to extract quantitative body composition metrics to analyze
tissue volume and quality. Extracting quantitative body composition measures
manuall... | http://arxiv.org/abs/2302.06568v1 |
We provide open, transparent implementation and assessment of Google Brain's
deep reinforcement learning approach to macro placement and its Circuit
Training (CT) implementation in GitHub. We implement in open source key
"blackbox" elements of CT, and clarify discrepancies between CT and Nature
paper. New testcases on ... | http://arxiv.org/abs/2302.11014v2 |
The paper introduces Supervised Embedding and Clustering Anomaly Detection
(SEMC-AD), a method designed to efficiently identify faulty alarm logs in a
mobile network and alleviate the challenges of manual monitoring caused by the
growing volume of alarm logs. SEMC-AD employs a supervised embedding approach
based on dee... | http://arxiv.org/abs/2310.06779v1 |
The k-spectrum of a string is the set of all distinct substrings of length k
occurring in the string. K-spectra have many applications in bioinformatics
including pseudoalignment and genome assembly. The Spectral Burrows-Wheeler
Transform (SBWT) has been recently introduced as an algorithmic tool to
efficiently represe... | http://arxiv.org/abs/2306.04850v1 |
The recent success of Large Language Models (LLMs) has been predominantly
driven by curating the training dataset composition, scaling of model
architectures and dataset sizes and advancements in pretraining objectives,
leaving tokenizer influence as a blind spot. Shedding light on this
underexplored area, we conduct a... | http://arxiv.org/abs/2310.08754v4 |
Parton showers which can efficiently incorporate quantum interference effects
have been shown to be run efficiently on quantum computers. However, so far
these quantum parton showers did not include the full kinematical information
required to reconstruct an event, which in classical parton showers requires
the use of ... | http://arxiv.org/abs/2310.19881v1 |
Enterprise Wi-Fi networks can greatly benefit from Artificial Intelligence
and Machine Learning (AI/ML) thanks to their well-developed management and
operation capabilities. At the same time, AI/ML-based traffic/load prediction
is one of the most appealing data-driven solutions to improve the Wi-Fi
experience, either t... | http://arxiv.org/abs/2310.07467v1 |
We propose and analyze a nonlinear dynamic model of continuous-time
multi-dimensional belief formation over signed social networks. Our model
accounts for the effects of a structured belief system, self-appraisal,
internal biases, and various sources of cognitive dissonance posited by recent
theories in social psycholo... | http://arxiv.org/abs/2308.02755v2 |
The Toffoli gate takes a special place in the quantum information theory. It
opens up a path for efficient implementation of complex quantum algorithms.
Despite tremendous progress of the quantum processors based on the
superconducting qubits, realization of a high-fidelity three-qubit operation is
still a challenging ... | http://arxiv.org/abs/2308.15229v3 |
It is found that single-cycle THz electromagnetic fields efficiently excite a
GHz spin resonance mode in ferrimagnetic Tm$_3$Fe$_5$O$_{12}$, despite the near
absence of GHz spectral components in the exciting THz pulse. By analyzing how
the efficiency of excitation depends on the orientation and strength of the THz
ele... | http://arxiv.org/abs/2305.02971v1 |
We propose Hierarchical Text Spotter (HTS), a novel method for the joint task
of word-level text spotting and geometric layout analysis. HTS can recognize
text in an image and identify its 4-level hierarchical structure: characters,
words, lines, and paragraphs. The proposed HTS is characterized by two novel
components... | http://arxiv.org/abs/2310.17674v1 |
Ensemble forecasts and their combination are explored from the perspective of
a probability space. Manipulating ensemble forecasts as discrete probability
distributions, multi-model ensembles (MMEs) are reformulated as barycenters of
these distributions. Barycenters are defined with respect to a given distance.
The bar... | http://arxiv.org/abs/2310.17933v1 |
Molecular communication is a novel approach for data transmission between
miniaturized devices, especially in contexts where electrical signals are to be
avoided. The communication is based on sending molecules (or other particles)
at nano scale through channel instead sending electrons over a wire. Molecular
communica... | http://arxiv.org/abs/2308.02812v1 |
Intrusion Detection Systems (IDS) are a proven approach to secure networks.
However, in a privately used network, it is difficult for users without
cybersecurity expertise to understand IDS alerts, and to respond in time with
adequate measures. This puts the security of home networks, smart home
installations, home-off... | http://arxiv.org/abs/2306.14504v1 |
We consider the longest common subsequence problem in the context of
subsequences with gap constraints. In particular, following Day et al. 2022, we
consider the setting when the distance (i. e., the gap) between two consecutive
symbols of the subsequence has to be between a lower and an upper bound (which
may depend o... | http://arxiv.org/abs/2304.05270v2 |
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