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Pre-trained large text-to-image models synthesize impressive images with an
appropriate use of text prompts. However, ambiguities inherent in natural
language and out-of-distribution effects make it hard to synthesize image
styles, that leverage a specific design pattern, texture or material. In this
paper, we introduc... | http://arxiv.org/abs/2306.00983v1 |
Data from populations of systems are prevalent in many industrial
applications. Machines and infrastructure are increasingly instrumented with
sensing systems, emitting streams of telemetry data with complex
interdependencies. In practice, data-centric monitoring procedures tend to
consider these assets (and respective... | http://arxiv.org/abs/2305.08657v1 |
Methods for parameter estimation of gravitational-wave data assume that
detector noise is stationary and Gaussian. Real data deviates from these
assumptions, which causes bias in the inferred parameters and incorrect
estimates of the errors. We develop a sensitive test of non-Gaussianity for
real gravitational-wave dat... | http://arxiv.org/abs/2306.09019v2 |
Although substantial effort has been dedicated to analyzing the Higgs
(amplitude) mode in superconducting systems, there are relatively few studies
of the Higgs peak's dispersion and width, quantities which are observable in
spectroscopic measurements. These properties can be obtained from the location
of the pole of t... | http://arxiv.org/abs/2301.05684v1 |
Today the LHC offline computing relies heavily on CPU resources, despite the
interest in compute accelerators, such as GPUs, for the longer term future. The
number of cores per CPU socket has continued to increase steadily, reaching the
levels of 64 cores (128 threads) with recent AMD EPYC processors, and 128 cores
on ... | http://arxiv.org/abs/2310.02872v1 |
The nonequilibrium response and fluctuations of Markovian systems, both near
and far from equilibrium, are best understood by varying their parameters along
dynamical equivalence classes. In this note, I illustrate this approach for an
analytically solvable molecular motor toy model. | http://arxiv.org/abs/2306.01445v6 |
How to train a generalizable meta-policy by continually learning a sequence
of tasks? It is a natural human skill yet challenging to achieve by current
reinforcement learning: the agent is expected to quickly adapt to new tasks
(plasticity) meanwhile retaining the common knowledge from previous tasks
(stability). We ad... | http://arxiv.org/abs/2305.18444v2 |
Finding errors in machine learning applications requires a thorough
exploration of their behavior over data. Existing approaches used by
practitioners are often ad-hoc and lack the abstractions needed to scale this
process. We present TorchQL, a programming framework to evaluate and improve
the correctness of machine l... | http://arxiv.org/abs/2308.06686v3 |
We study trilayer graphene arranged in a staircase stacking configuration
with equal consecutive twist angle. On top of the moir\'e cristalline pattern,
a supermoir\'e long-wavelength modulation emerges that we treat adiabatically.
For each valley, we find that the two central bands are topological with Chern
numbers $... | http://arxiv.org/abs/2305.03702v1 |
We introduce a novel computational unit for neural networks that features
multiple biases, challenging the traditional perceptron structure. This unit
emphasizes the importance of preserving uncorrupted information as it is passed
from one unit to the next, applying activation functions later in the process
with specia... | http://arxiv.org/abs/2301.00924v3 |
Recent advances in diffusion models enable many powerful instruments for
image editing. One of these instruments is text-driven image manipulations:
editing semantic attributes of an image according to the provided text
description. % Popular text-conditional diffusion models offer various
high-quality image manipulati... | http://arxiv.org/abs/2304.04344v1 |
We study quasi-bound states of two electrons that arise in two-dimensional
materials with a Mexican-hat dispersion (MHD) at an energy above its central
maximum. The width of the resonance of the local density of states created by
pairs is determined by the hybridization of atomic orbitals, due to which the
MHD is forme... | http://arxiv.org/abs/2307.12076v1 |
We explain how Rashba spin-orbit coupling (SOC) in a two-dimensional electron
gas (2DEG), or in a conventional $s$-wave superconductor, can lead to a large
magnetoresistance even with one ferromagnet. However, such enhanced
magnetoresistance is not generic and can be nonmonotonic and change its sign
with Rashba SOC. Fo... | http://arxiv.org/abs/2303.00185v1 |
Collecting large-scale datasets is crucial for training deep models,
annotating the data, however, inevitably yields noisy labels, which poses
challenges to deep learning algorithms. Previous efforts tend to mitigate this
problem via identifying and removing noisy samples or correcting their labels
according to the sta... | http://arxiv.org/abs/2302.06805v2 |
Let $X$ be a smooth Fano variety. We attach a bi-graded associative algebra
$\mathrm{HS}(\mathcal{K}u(X))=\bigoplus_{i,j\in \mathbb{Z}}
\mathrm{Hom}(\mathrm{Id},S_{\mathcal{K}u(X)}^{i}[j])$ to the Kuznetsov
component $\mathcal{K}u(X)$ whenever it is defined. Then we construct a natural
sub-algebra of $\mathrm{HS}(\math... | http://arxiv.org/abs/2310.09927v2 |
Increasing adoption of smart meters and phasor measurement units (PMUs) in
power distribution networks are enabling the adoption of data-driven/model-less
control schemes to mitigate grid issues such as over/under voltages and
power-flow congestions. However, such a scheme can lead to
infeasible/inaccurate control deci... | http://arxiv.org/abs/2304.13638v1 |
This work provides a study of parameter estimators based on functions of
Markov chains generated by some perturbations of the independence copula. We
provide asymptotic distributions of maximum likelihood estimators and
confidence intervals for copula parameters of several families of copulas
introduced in Longla (2023... | http://arxiv.org/abs/2308.14282v1 |
Unlike classical lexical overlap metrics such as BLEU, most current
evaluation metrics for machine translation (for example, COMET or BERTScore)
are based on black-box large language models. They often achieve strong
correlations with human judgments, but recent research indicates that the
lower-quality classical metri... | http://arxiv.org/abs/2306.13041v1 |
We develop a neutral vortex fluid theory on closed surfaces with zero genus.
The theory describes collective dynamics of many well-separated quantum
vortices in a superfluid confined on a closed surface. Comparing to the case on
a plane, the covariant vortex fluid equation on a curved surface contains an
additional ter... | http://arxiv.org/abs/2305.05373v3 |
We introduce a novel speaker model \textsc{Kefa} for navigation instruction
generation. The existing speaker models in Vision-and-Language Navigation
suffer from the large domain gap of vision features between different
environments and insufficient temporal grounding capability. To address the
challenges, we propose a... | http://arxiv.org/abs/2307.13368v1 |
This paper describes the first open dataset for full-scale and high-speed
autonomous racing. Multi-modal sensor data has been collected from fully
autonomous Indy race cars operating at speeds of up to 170 mph (273 kph). Six
teams who raced in the Indy Autonomous Challenge have contributed to this
dataset. The dataset ... | http://arxiv.org/abs/2306.03252v1 |
Large-scale text-to-image diffusion models have made amazing advances.
However, the status quo is to use text input alone, which can impede
controllability. In this work, we propose GLIGEN, Grounded-Language-to-Image
Generation, a novel approach that builds upon and extends the functionality of
existing pre-trained tex... | http://arxiv.org/abs/2301.07093v2 |
Charge state instabilities have been a bottleneck for the implementation of
solid-state spin systems and pose a major challenge to the development of
spin-based quantum technologies. Here we investigate the stabilization of
negatively charged nitrogen-vacancy (NV$^-$) centers in phosphorus-doped
diamond at liquid heliu... | http://arxiv.org/abs/2305.15160v1 |
In this work, we consider the problem of imbalanced data in a regression
framework when the imbalanced phenomenon concerns continuous or discrete
covariates. Such a situation can lead to biases in the estimates. In this case,
we propose a data augmentation algorithm that combines a weighted resampling
(WR) and a data a... | http://arxiv.org/abs/2302.09288v1 |
Entities whose changes will significantly affect others in a networked system
are called shakers. In recent years, some models have been proposed to detect
such shaker from evolving entities. However, limited work has focused on shaker
detection in very short term, which has many real-world applications. For
example, i... | http://arxiv.org/abs/2303.06292v1 |
While recent advances in artificial intelligence have achieved human-level
performance in environments like Starcraft and Go, many physical reasoning
tasks remain challenging for modern algorithms. To date, few algorithms have
been evaluated on physical tasks that involve manipulating objects when movable
obstacles are... | http://arxiv.org/abs/2301.10289v2 |
In our study, we introduce a novel hybrid ensemble model that synergistically
combines LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of
gene mutations in cancer. This model was rigorously tested using Kaggle's
Personalized Medicine: Redefining Cancer Treatment dataset, demonstrating
exceptional pe... | http://arxiv.org/abs/2307.14361v3 |
We analyze continual learning on a sequence of separable linear
classification tasks with binary labels. We show theoretically that learning
with weak regularization reduces to solving a sequential max-margin problem,
corresponding to a special case of the Projection Onto Convex Sets (POCS)
framework. We then develop u... | http://arxiv.org/abs/2306.03534v1 |
For the first time, we enable the execution of hybrid machine learning
methods on real quantum computers with 100 data samples and real-device-based
simulations with 5,000 data samples, thereby outperforming the current state of
research of Suryotrisongko and Musashi from 2022 who were dealing with 1,000
data samples a... | http://arxiv.org/abs/2306.13727v4 |
Superlenses made of plasmonic materials and metamaterials have been exploited
to image features of sub-diffractional scale. However, their intrinsic losses
impose a serious restriction on the imaging resolution, which is a
long-standing problem that has hindered wide-spread applications of
superlenses. Optical waves of... | http://arxiv.org/abs/2303.16081v1 |
Satellite image time series in the optical and infrared spectrum suffer from
frequent data gaps due to cloud cover, cloud shadows, and temporary sensor
outages. It has been a long-standing problem of remote sensing research how to
best reconstruct the missing pixel values and obtain complete, cloud-free image
sequences... | http://arxiv.org/abs/2305.13277v3 |
We present the X-ray spectral and temporal analysis of the black hole X-ray
transient Swift J1658.2--4242 observed by {\it AstroSat}. Three epochs of data
have been analysed using the JeTCAF model to estimate the mass accretion rates
and to understand the geometry of the flow. The best-fit disc mass accretion
rate ($\d... | http://arxiv.org/abs/2304.04422v1 |
We classify certain non-symmetric commutative association schemes. As an
application, we determine all the weakly distance-regular circulants of one
type of arcs by using Schur rings. We also give the classification of primitive
weakly distance-regular circulants. | http://arxiv.org/abs/2307.12710v1 |
We present a theoretical analysis of mid-infrared radiative recombination in
InAs/GaSb superlattices (SLs). We employ a semi-analytical plane wave expansion
method in conjunction with an 8-band $\mathbf{k} \cdot \mathbf{p}$ Hamiltonian
to compute the SL electronic structure, paying careful attention to the
identificati... | http://arxiv.org/abs/2310.18194v1 |
Reconstructing category-specific objects from a single image is a challenging
task that requires inferring the geometry and appearance of an object from a
limited viewpoint. Existing methods typically rely on local feature retrieval
based on re-projection with known camera intrinsic, which are slow and prone to
distort... | http://arxiv.org/abs/2306.05145v1 |
The present study provides an in-depth analysis of the anisotropic matter
distribution and various physical aspects of compact stars in the context of a
$f(R,G)$-gravity framework. In order to gain an exhaustive understanding of
these aspects, our study focuses on three particular compact stars: VELA X-1
(CS1), SAXJ180... | http://arxiv.org/abs/2305.03064v2 |
Let $A$ be a Noetherian domain and $R$ be a finitely generated $A$-algebra.
We study several features regarding the generic freeness over $A$ of an
$R$-module. For an ideal $I \subset R$, we show that the local cohomology
modules ${\rm H}_I^i(R)$ are generically free over $A$ under certain settings
where $R$ is a smoot... | http://arxiv.org/abs/2302.08196v4 |
In this paper we prove motivic versions of the Langlands-Shelstad Fundamental
Lemma and Ng\^o's Geometric Stabilization. To achieve this, we follow the
strategy from the recent proof by Groechenig, Wyss and Ziegler which avoided
the use of perverse sheaves using instead $p$-adic integration and Tate
duality. We make a ... | http://arxiv.org/abs/2308.12195v1 |
This paper provides a comprehensive review of the literature concerning the
utilization of Natural Language Processing (NLP) techniques, with a particular
focus on transformer-based large language models (LLMs) trained using Big Code,
within the domain of AI-assisted programming tasks. LLMs, augmented with
software nat... | http://arxiv.org/abs/2307.02503v1 |
We present a novel distributionally robust framework for dynamic programming
that uses kernel methods to design feedback control policies. Specifically, we
leverage kernel mean embedding to map the transition probabilities governing
the state evolution into an associated repreducing kernel Hilbert space. Our
key idea l... | http://arxiv.org/abs/2304.00644v2 |
Recently, deep learning models have been widely applied in program
understanding tasks, and these models achieve state-of-the-art results on many
benchmark datasets. A major challenge of deep learning for program
understanding is that the effectiveness of these approaches depends on the
quality of their datasets, and t... | http://arxiv.org/abs/2307.08990v2 |
Polyphonic Piano Transcription has recently experienced substantial progress,
driven by the use of sophisticated Deep Learning approaches and the
introduction of new subtasks such as note onset, offset, velocity and pedal
detection. This progress was coupled with an increased complexity and size of
the proposed models,... | http://arxiv.org/abs/2303.04485v2 |
A number of datasets for Relation Extraction (RE) have been created to aide
downstream tasks such as information retrieval, semantic search, question
answering and textual entailment. However, these datasets fail to capture
financial-domain specific challenges since most of these datasets are compiled
using general kno... | http://arxiv.org/abs/2305.18322v1 |
Recent studies on Graph Neural Networks(GNNs) provide both empirical and
theoretical evidence supporting their effectiveness in capturing structural
patterns on both homophilic and certain heterophilic graphs. Notably, most
real-world homophilic and heterophilic graphs are comprised of a mixture of
nodes in both homoph... | http://arxiv.org/abs/2306.01323v3 |
In this study, we evaluate the performance of multiple state-of-the-art SRGAN
(Super Resolution Generative Adversarial Network) models, ESRGAN, Real-ESRGAN
and EDSR, on a benchmark dataset of real-world images which undergo degradation
using a pipeline. Our results show that some models seem to significantly
increase t... | http://arxiv.org/abs/2307.09456v2 |
In our work, we propose a novel yet simple approach to obtain an adaptive
learning rate for gradient-based descent methods on classification tasks.
Instead of the traditional approach of selecting adaptive learning rates via
the decayed expectation of gradient-based terms, we use the angle between the
current gradient ... | http://arxiv.org/abs/2304.10457v1 |
Space-filling designs are commonly used in computer experiments to fill the
space of inputs so that the input-output relationship can be accurately
estimated. However, in certain applications such as inverse design or
feature-based modeling, the aim is to fill the response or feature space. In
this article, we propose ... | http://arxiv.org/abs/2305.07202v1 |
Optomechanical devices are being harnessed as sensors of ultraweak forces for
applications ranging from inertial sensing to the search for the elusive dark
matter. For the latter, there is a focus on detection of either higher energy
single recoils or ultralight, narrowband sources; a directional signal is
expected. Ho... | http://arxiv.org/abs/2307.06765v2 |
The paper proposes dynamic parallel algorithms for connectivity and
bipartiteness of undirected graphs that require constant time and
$O(n^{1/2+\epsilon})$ work on the CRCW PRAM model. The work of these algorithms
almost matches the work of the $O(\log n)$ time algorithm for connectivity by
Kopelowitz et al. (2018) on ... | http://arxiv.org/abs/2307.10107v1 |
Missing values are a fundamental problem in data science. Many datasets have
missing values that must be properly handled because the way missing values are
treated can have large impact on the resulting machine learning model. In
medical applications, the consequences may affect healthcare decisions. There
are many me... | http://arxiv.org/abs/2304.11749v1 |
Low-light hazy scenes commonly appear at dusk and early morning. The visual
enhancement for low-light hazy images is an ill-posed problem. Even though
numerous methods have been proposed for image dehazing and low-light
enhancement respectively, simply integrating them cannot deliver pleasing
results for this particula... | http://arxiv.org/abs/2308.00591v1 |
We investigate superfluidity of bosons in gapped topological bands and
discover a new phase that has no counterparts in the previous literature. This
phase is characterized by a highly unconventional modulation of the order
parameter, breaking the crystallographic symmetry, and for which the
condensation momentum is ne... | http://arxiv.org/abs/2307.08748v1 |
We explicitly show that the differences, with respect to the appearance of
topological phases, between the traditional Haldane model, which utilises a
honeycomb lattice structure, to that of the Haldane model imbued onto a
brick-wall lattice geometry, are inconsequential. A proposal is then put
forward to realise the H... | http://arxiv.org/abs/2306.07752v1 |
Finding an agreement among diverse opinions is a challenging topic in
multiagent systems. Recently, large language models (LLMs) have shown great
potential in addressing this challenge due to their remarkable capabilities in
comprehending human opinions and generating human-like text. However, they
typically rely on ex... | http://arxiv.org/abs/2305.11460v1 |
Open-source EDA shows promising potential in unleashing EDA innovation and
lowering the cost of chip design. This paper presents an open-source EDA
project, iEDA, aiming for building a basic infrastructure for EDA technology
evolution and closing the industrial-academic gap in the EDA area. iEDA now
covers the whole fl... | http://arxiv.org/abs/2308.01857v1 |
The recent mass adoption of DNNs, even in safety-critical scenarios, has
shifted the focus of the research community towards the creation of inherently
intrepretable models. Concept Bottleneck Models (CBMs) constitute a popular
approach where hidden layers are tied to human understandable concepts allowing
for investig... | http://arxiv.org/abs/2308.10782v1 |
The introduction of deep wide-field surveys in recent years and the adoption
of machine learning techniques have led to the discoveries of
$\mathcal{O}(10^4)$ strong gravitational lensing systems and candidates.
However, the discovery of multiply lensed transients remains a rarity. Lensed
transients and especially lens... | http://arxiv.org/abs/2301.03578v2 |
Families of DFAs (FDFAs) have recently been introduced as a new
representation of $\omega$-regular languages. They target ultimately periodic
words, with acceptors revolving around accepting some representation $u\cdot
v^\omega$. Three canonical FDFAs have been suggested, called periodic,
syntactic, and recurrent. We p... | http://arxiv.org/abs/2307.07490v1 |
Machine Learning (ML) has recently shown tremendous success in modeling
various healthcare prediction tasks, ranging from disease diagnosis and
prognosis to patient treatment. Due to the sensitive nature of medical data,
privacy must be considered along the entire ML pipeline, from model training to
inference. In this ... | http://arxiv.org/abs/2303.15563v1 |
We give essentially tight bounds for, $\nu(d,k)$, the maximum number of
distinct neighbourhoods on a set $X$ of $k$ vertices in a graph with twin-width
at most~$d$. Using the celebrated Marcus-Tardos theorem, two independent works
[Bonnet et al., Algorithmica '22; Przybyszewski '22] have shown the upper bound
$\nu(d,k)... | http://arxiv.org/abs/2301.04217v2 |
Combining ideas coming from Stone duality and Reynolds parametricity, we
formulate in a clean and principled way a notion of profinite lambda-term
which, we show, generalizes at every type the traditional notion of profinite
word coming from automata theory. We start by defining the Stone space of
profinite lambda-term... | http://arxiv.org/abs/2301.12475v4 |
We present an $O(\log k)$-approximation for both the edge-weighted and
node-weighted versions of \DST in planar graphs where $k$ is the number of
terminals. We extend our approach to \MDST (in general graphs \MDST and \DST
are easily seen to be equivalent but in planar graphs this is not the case
necessarily) in which ... | http://arxiv.org/abs/2302.04747v2 |
In this note we will present how Euler's investigations on various different
subjects lead to certain properties of the Legendre polynomials. More
precisely, we will show that the generating function and the difference
equation for the Legendre polynomials was already written down by Euler in at
least two different pap... | http://arxiv.org/abs/2308.16318v1 |
In this paper, we study the problem of extremely large (XL) multiple-input
multiple-output (MIMO) channel estimation in the terahertz (THz) frequency
band, considering the presence of propagation delays across the entire array
apertures at both communication ends, which naturally leads to frequency
selectivity. This pr... | http://arxiv.org/abs/2310.14745v2 |
Eclipse timing variations (ETV) have been a successful tool for detecting
circumbinary companions to eclipsing binaries (EB). While TESS and Kepler have
been prolific for ETV searches, they sometimes can be limited by time and sky
coverage which can be addressed by specialised ground-based ETV surveys. We
present the i... | http://arxiv.org/abs/2310.05890v1 |
A toy-model is used for describing the steps achieving the
no-reversible-direction axiom in a tutorial manner: i) choice of a state space
results in the balance equations on state space which are linear in the process
directions, ii) a reversible process direction cannot be generated by
combination of non-reversible on... | http://arxiv.org/abs/2306.09794v2 |
Ultrafast 3D imaging is indispensable for visualizing complex and dynamic
biological processes. Conventional scanning-based techniques necessitate an
inherent trade-off between acquisition speed and space-bandwidth product (SBP).
Emerging single-shot 3D wide-field techniques offer a promising alternative but
are bottle... | http://arxiv.org/abs/2310.00730v3 |
The Coronagraph Instrument of the Nancy Grace Roman Space Telescope (Roman
Coronagraph) will be capable of both total intensity and polarization
measurements of circumstellar disks. The polarimetric performance is impacted
by polarization effects introduced by all mirrors before the Wollaston prisms.
In this paper, we ... | http://arxiv.org/abs/2309.02044v1 |
Being able to harness the power of large datasets for developing cooperative
multi-agent controllers promises to unlock enormous value for real-world
applications. Many important industrial systems are multi-agent in nature and
are difficult to model using bespoke simulators. However, in industry,
distributed processes... | http://arxiv.org/abs/2302.00521v2 |
High dimensional random dynamical systems are ubiquitous, including -- but
not limited to -- cyber-physical systems, daily return on different stocks of
S&P 1500 and velocity profile of interacting particle systems around
McKeanVlasov limit. Mathematically, underlying phenomenon can be captured via a
stable $n$-dimensi... | http://arxiv.org/abs/2310.10523v1 |
Recent research on argumentative dialogues has focused on persuading people
to take some action, changing their stance on the topic of discussion, or
winning debates. In this work, we focus on argumentative dialogues that aim to
open up (rather than change) people's minds to help them become more
understanding to views... | http://arxiv.org/abs/2301.06400v1 |
We propose a new regularization scheme for the optimization of deep learning
architectures, G-TRACER ("Geometric TRACE Ratio"), which promotes
generalization by seeking flat minima, and has a sound theoretical basis as an
approximation to a natural-gradient descent based optimization of a generalized
Bayes objective. B... | http://arxiv.org/abs/2306.13914v1 |
Let G = Z2 act on a finitistic space X having mod 2 cohomology of the product
of three spheres S^n x S^m x S^l. In this paper, we have determined the fixed
point sets of involutions on X. This generalizes J. C. Su [12] results for
involutions on the product of two sphere S^n x S^m. | http://arxiv.org/abs/2308.05402v1 |
We present a novel thermodynamic parameter estimation framework for
energy-based surgery on live tissue, with direct applications to tissue
characterization during electrosurgery. This framework addresses the problem of
estimating tissue-specific thermodynamics in real-time, which would enable
accurate prediction of th... | http://arxiv.org/abs/2301.09733v1 |
We characterized optically In0.37Ga0.63As/GaAs quantum dots and
Al0.2Ga0.8As/Al0.9Ga0.1As distributed Bragg reflector based cavities. The main
mechanisms of quantum dots photoluminescence quenching were identified. We
measured reflectivity spectra of the cavity structure which allowed us to
verify the proposed layer de... | http://arxiv.org/abs/2305.04938v2 |
We investigate dispersive and kinetic effects on the evolution of a
two-dimensional kinked Alfv\'en wave packet by comparing results from MHD,
Hall-MHD and hybrid simulations of a low-$\beta$ plasma. We find that the Hall
term determines the overall evolution of the wave packet over a characteristic
time $\tau^*=\tau_a... | http://arxiv.org/abs/2302.06150v1 |
The emerging field of strongly coupled light-matter systems has drawn
significant attention in recent years due to the prospect of altering physical
and chemical properties of molecules and materials. Because this emerging field
draws on ideas from both condensed-matter physics and quantum optics, it has
attracted atte... | http://arxiv.org/abs/2305.02391v4 |
Integrated thin film lithium niobate (TFLN) modulators are emerging as an
appealing solution to high-speed data processing and transmission due to their
high modulation speed and low driving voltage. The key step in fabricating
integrated TFLN modulators is the high-quality etching of TFLN, which typically
requires lon... | http://arxiv.org/abs/2308.03073v4 |
Federated learning (FL) has become a key component in various language
modeling applications such as machine translation, next-word prediction, and
medical record analysis. These applications are trained on datasets from many
FL participants that often include privacy-sensitive data, such as healthcare
records, phone/c... | http://arxiv.org/abs/2310.16152v2 |
In the modelling and analysis of large, real systems, the main problem in
their efficient processing is the size of the global model. One of the popular
approaches that address this issue is the decomposition of such global model
into much smaller submodels and interaction between them. In this paper we
discuss the tra... | http://arxiv.org/abs/2310.19507v1 |
Code coverage is a widely used metric for quantifying the extent to which
program elements, such as statements or branches, are executed during testing.
Calculating code coverage is resource-intensive, requiring code building and
execution with additional overhead for the instrumentation. Furthermore,
computing coverag... | http://arxiv.org/abs/2307.13383v1 |
We present analytical solutions describing a family of both inwardly and
outwardly spiralling orbits in the Kerr spacetime. The solutions are exact, and
remarkable for their simplicity. These orbits all have the angular momentum and
energy of a circular orbit at some radius $r_c$, but are not restricted to
remaining on... | http://arxiv.org/abs/2302.01159v1 |
Past research has clearly established that music can affect mood and that
mood affects emotional and cognitive processing, and thus decision-making. It
follows that if a robot interacting with a person needs to predict the person's
behavior, knowledge of the music the person is listening to when acting is a
potentially... | http://arxiv.org/abs/2308.14269v1 |
We find two one-parametric families of recursion operators and use them to
construct higher symmetries for the Calogero--Bogoyavlenskii--Schiff breaking
soliton equation. Then we prove that the recursion operators from the first
family pair-wise commute with respect to the Nijenhuis bracket (are
compatible). | http://arxiv.org/abs/2305.03931v1 |
At the beginning of 2020, MAGIC reported a very-high-energy (VHE) flaring
activity from the FSRQ QSO B1420+326. It is now the fourth known most distant
blazar (z=0.682) with an observed VHE gamma-ray emission. In this work, we
investigate the effect of photon-axionlike particle (ALP) oscillations in the
gamma-ray spect... | http://arxiv.org/abs/2310.16634v2 |
Clarifying the electronic and magnetic properties of lutetium, lutetium
dihydride, and lutetium oxide is very helpful to understand the emergent
phenomena in lutetium-based compounds (such as room-temperature
superconductivity). However, this kind of study is still scarce at present.
Here, we report on the electronic a... | http://arxiv.org/abs/2303.11063v2 |
We introduce Text2Cinemagraph, a fully automated method for creating
cinemagraphs from text descriptions - an especially challenging task when
prompts feature imaginary elements and artistic styles, given the complexity of
interpreting the semantics and motions of these images. We focus on
cinemagraphs of fluid element... | http://arxiv.org/abs/2307.03190v3 |
For reinforcement learning systems to be widely adopted, their users must
understand and trust them. We present a theoretical analysis of explaining
reinforcement learning using Shapley values, following a principled approach
from game theory for identifying the contribution of individual players to the
outcome of a co... | http://arxiv.org/abs/2306.05810v1 |
We prove the existence of instabilities for the geometric linear wave
equation on extremal Kerr spacetime backgrounds, which describe stationary
black holes rotating at their maximally allowed angular velocity. These
instabilities can be associated to non-axisymmetric azimuthal modes and are
stronger than the axisymmet... | http://arxiv.org/abs/2302.06636v2 |
As research on machine translation moves to translating text beyond the
sentence level, it remains unclear how effective automatic evaluation metrics
are at scoring longer translations. In this work, we first propose a method for
creating paragraph-level data for training and meta-evaluating metrics from
existing sente... | http://arxiv.org/abs/2308.13506v2 |
Learning complex multi-agent system dynamics from data is crucial across many
domains, such as in physical simulations and material modeling. Extended from
purely data-driven approaches, existing physics-informed approaches such as
Hamiltonian Neural Network strictly follow energy conservation law to introduce
inductiv... | http://arxiv.org/abs/2310.06427v1 |
Typical computational techniques for vascular biomechanics represent the
blood vessel wall via either a membrane, a shell, or a 3D solid element. Each
of these formulations has its trade offs concerning accuracy, ease of
implementation, and computational costs. Despite the widespread use of these
formulations, a system... | http://arxiv.org/abs/2301.10504v2 |
It is well established that spin-transfer torques exerted by in-plane spin
currents give rise to a motion of magnetic skyrmions resulting in a skyrmion
Hall effect. In films of finite thickness or in three-dimensional bulk samples
the skyrmions extend in the third direction forming a string. We demonstrate
that a spin ... | http://arxiv.org/abs/2303.08532v1 |
Wireless Capsule Endoscopy (WCE) is being increasingly used as an alternative
imaging modality for complete and non-invasive screening of the
gastrointestinal tract. Although this is advantageous in reducing unnecessary
hospital admissions, it also demands that a WCE diagnostic protocol be in place
so larger population... | http://arxiv.org/abs/2301.06366v1 |
The effective use of computer vision and machine learning for on-orbit
applications has been hampered by limited computing capabilities, and therefore
limited performance. While embedded systems utilizing ARM processors have been
shown to meet acceptable but low performance standards, the recent availability
of larger ... | http://arxiv.org/abs/2301.09055v1 |
Efficient and timely calculations of Machine Learning (ML) algorithms are
essential for emerging technologies like autonomous driving, the Internet of
Things (IoT), and edge computing. One of the primary ML algorithms used in such
systems is Convolutional Neural Networks (CNNs), which demand high
computational resource... | http://arxiv.org/abs/2308.05364v1 |
The 2024 Taiwanese Presidential Election is not just a critical geopolitical
event, it also engages with long-standing debate in politics regarding the
factors that lead to the rise of new political parties and candidates. In 2021,
the Economist called Taiwan "the most dangerous place on earth" due to its
critical role... | http://arxiv.org/abs/2310.07739v1 |
Modern perception systems of autonomous vehicles are known to be sensitive to
occlusions and lack the capability of long perceiving range. It has been one of
the key bottlenecks that prevents Level 5 autonomy. Recent research has
demonstrated that the Vehicle-to-Vehicle (V2V) cooperative perception system
has great pot... | http://arxiv.org/abs/2303.07601v2 |
Many discriminative natural language understanding (NLU) tasks have large
label spaces. Learning such a process of large-space decision making is
particularly challenging due to the lack of training instances per label and
the difficulty of selection among many fine-grained labels. Inspired by dense
retrieval methods f... | http://arxiv.org/abs/2310.18619v1 |
Hate speech is a societal problem that has significantly grown through the
Internet. New forms of digital content such as image memes have given rise to
spread of hate using multimodal means, being far more difficult to analyse and
detect compared to the unimodal case. Accurate automatic processing, analysis
and unders... | http://arxiv.org/abs/2304.02906v2 |
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