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Ring Polymer Surface-Hopping (RPSH) has been recently introduced as a
well-tailored method for incorporating nuclear quantum effects (NQEs), such as
zero-point energy and tunneling, into non-adiabatic molecular dynamics
simulations. The practical widespread usage of RPSH demands a comprehensive
benchmarking of differen... | http://arxiv.org/abs/2305.13320v1 |
Recent advancements in Natural Language Processing (NLP), particularly in
Large Language Models (LLMs), associated with deep learning-based computer
vision techniques, have shown substantial potential for automating a variety of
tasks. One notable model is Visual ChatGPT, which combines ChatGPT's LLM
capabilities with ... | http://arxiv.org/abs/2304.13009v2 |
This paper presents a novel Sequence-to-Sequence (Seq2Seq) model based on a
transformer-based attention mechanism and temporal pooling for Non-Intrusive
Load Monitoring (NILM) of smart buildings. The paper aims to improve the
accuracy of NILM by using a deep learning-based method. The proposed method
uses a Seq2Seq mod... | http://arxiv.org/abs/2306.05012v1 |
We show that continuous group homomorphisms between unitary groups of unital
C*-algebras induce maps between spaces of continuous real-valued affine
functions on the trace simplices. Under certain $K$-theoretic regularity
conditions, these maps can be seen to commute with the pairing between $K_0$
and traces. If the ho... | http://arxiv.org/abs/2305.15989v2 |
We theoretically describe the phenomenon of non-adiabatic spin dynamics,
which occurs in a gas cell filled by alkali vapor in presence of a strong
alternating magnetic field and pump light. Steep increase of the spin
polarization occurs if frequency of the magnetic field is equal to the certain
value. Although, the obs... | http://arxiv.org/abs/2307.12647v2 |
Well-tuned hyperparameters are crucial for obtaining good generalization
behavior in neural networks. They can enforce appropriate inductive biases,
regularize the model and improve performance -- especially in the presence of
limited data. In this work, we propose a simple and efficient way for
optimizing hyperparamet... | http://arxiv.org/abs/2304.14766v1 |
The recent advances in machine learning in various fields of applications can
be largely attributed to the rise of deep learning (DL) methods and
architectures. Despite being a key technology behind autonomous cars, image
processing, speech recognition, etc., a notorious problem remains the lack of
theoretical understa... | http://arxiv.org/abs/2307.02454v1 |
The velocity Slice Imaging technique has revolutionised electron molecule
interaction studies. Multiple electrostatic lens assemblies are often used in
spectrometers for resolving low kinetic energy fragments. However, in a
crossed-beam experiment with an effusive molecular beam, the extended source of
ion generation d... | http://arxiv.org/abs/2306.16708v1 |
Let $A$ be the $n$-th Weyl algebra over a field of characteristic zero, and
$\varphi:A\rightarrow A$ an endomorphism with $S = \varphi(A)$. We prove that
if $A$ is finitely generated as a left or right $S$-module, then $S = A$. The
proof involves reduction to large positive characteristics. By holonomicity,
$A$ is alwa... | http://arxiv.org/abs/2308.09384v2 |
We propose two methods to make unsupervised domain adaptation (UDA) more
parameter efficient using adapters, small bottleneck layers interspersed with
every layer of the large-scale pre-trained language model (PLM). The first
method deconstructs UDA into a two-step process: first by adding a domain
adapter to learn dom... | http://arxiv.org/abs/2302.03194v2 |
This work deals with the non-cutoff Boltzmann equation for all type of
potentials, in both the torus $\mathbf{T}^3$ and in the whole space
$\mathbf{R}^3$, under the incompressible Navier-Stokes scaling. We first
establish the well-posedness and decay of global mild solutions to this
rescaled Boltzmann equation in a per... | http://arxiv.org/abs/2304.06362v3 |
This paper explores variants of the subspace iteration algorithm for
computing approximate invariant subspaces. The standard subspace iteration
approach is revisited and new variants that exploit gradient-type techniques
combined with a Grassmann manifold viewpoint are developed. A gradient method
as well as a nonlinea... | http://arxiv.org/abs/2306.10379v2 |
Federated Learning (FL) has emerged as a significant advancement in the field
of Artificial Intelligence (AI), enabling collaborative model training across
distributed devices while maintaining data privacy. As the importance of FL
increases, addressing trustworthiness issues in its various aspects becomes
crucial. In ... | http://arxiv.org/abs/2305.11537v1 |
In the light-front quark model (LFQM) amenable to the simultaneous study of
both the mass spectroscopy and the wave function related observables, we
examine the decay constants and distribution amplitudes (DAs) up to the
twist-4. The analysis of the heavy pseudoscalar mesons is carried out both in
the $1S$ and $2S$ sta... | http://arxiv.org/abs/2306.08536v2 |
The environment-dependent dilaton field is a well-motivated candidate for
dark energy and naturally arises in the strong coupling limit of string theory.
In this article, we present the very first experimental constraints on the
parameters of this model. For this, we employ data obtained from the qBounce
collaboration ... | http://arxiv.org/abs/2307.00243v1 |
This work aims at investigating the optical transmission system needed for
such lightweight sail, taking into account the physical constraints of such
unprecedented link and focusing on the optimal scheme for the optical signal
emission. In particular, the optical signal is distributed to several emitters
on the sail. ... | http://arxiv.org/abs/2308.01900v1 |
Nakajima's graded quiver varieties naturally appear in the study of bases of
cluster algebras. One particular family of these varieties, namely the
bipartite determinantal varieties, can be defined for any bipartite quiver and
gives a vast generalization of classical determinantal varieties with broad
applications to a... | http://arxiv.org/abs/2305.01724v3 |
Micro- and nano-swimmers moving in a fluid solvent confined by structures
that produce entropic barriers are often described by overdamped active
Brownian particle dynamics, where viscous effects are large and inertia plays
no role. However, inertial effects should be considered for confined swimmers
moving in media wh... | http://arxiv.org/abs/2301.02902v2 |
Estimates suggest that while FRII jets appear to have lifetimes constrained
to hundreds of millions of years, radio galaxies with FRI jets appear to be
longer lived. We illustrate the nature of this time constraint from model
perspectives, showing how compatibility between theory and data match in a way
suggesting a ke... | http://arxiv.org/abs/2305.01042v1 |
Information Extraction (IE) is an essential task in Natural Language
Processing. Traditional methods have relied on coarse-grained extraction with
simple instructions. However, with the emergence of Large Language Models
(LLMs), there is a need to adapt IE techniques to leverage the capabilities of
these models. This p... | http://arxiv.org/abs/2310.05092v1 |
We introduce a transformation framework that can be utilized to develop
online algorithms with low $\epsilon$-approximate regret in the random-order
model from offline approximation algorithms. We first give a general reduction
theorem that transforms an offline approximation algorithm with low average
sensitivity to a... | http://arxiv.org/abs/2306.07163v2 |
We suggest a simple Gaussian mixture model for data generation that complies
with Feldman's long tail theory (2020). We demonstrate that a linear classifier
cannot decrease the generalization error below a certain level in the proposed
model, whereas a nonlinear classifier with a memorization capacity can. This
confirm... | http://arxiv.org/abs/2307.10736v2 |
Data poisoning attacks manipulate training data to introduce unexpected
behaviors into machine learning models at training time. For text-to-image
generative models with massive training datasets, current understanding of
poisoning attacks suggests that a successful attack would require injecting
millions of poison sam... | http://arxiv.org/abs/2310.13828v3 |
We consider the sets of negatively associated (NA) and negatively correlated
(NC) distributions as subsets of the space $\mathcal{M}$ of all probability
distributions on $\mathbb{R}^n$, in terms of their relative topological
structures within the topological space of all measures on a given measurable
space. We prove t... | http://arxiv.org/abs/2304.09737v1 |
This paper introduces UncertaintyPlayground, a Python library built on
PyTorch and GPyTorch for uncertainty estimation in supervised learning tasks.
The library offers fast training for Gaussian and multi-modal outcome
distributions through Sparse and Variational Gaussian Process Regressions
(SVGPRs) for normally distr... | http://arxiv.org/abs/2310.15281v1 |
What are the best methods of capturing thematic similarity between literary
texts? Knowing the answer to this question would be useful for automatic
clustering of book genres, or any other thematic grouping. This paper compares
a variety of algorithms for unsupervised learning of thematic similarities
between texts, wh... | http://arxiv.org/abs/2305.11251v1 |
Located in Southern Europe, the Drina River Basin is shared between Bosnia
and Herzegovina, Montenegro, and Serbia. The power sectors of the three
countries have an exceptionally high dependence on coal for power generation.
In this paper, we analyse different development pathways for achieving climate
neutrality in th... | http://arxiv.org/abs/2305.07433v2 |
Camouflaged object detection (COD) aims to accurately detect objects hidden
in the surrounding environment. However, the existing COD methods mainly locate
camouflaged objects in the RGB domain, their performance has not been fully
exploited in many challenging scenarios. Considering that the features of the
camouflage... | http://arxiv.org/abs/2308.08924v1 |
For decades, Simultaneous Ascending Auction (SAA) has been the most popular
mechanism used for spectrum auctions. It has recently been employed by many
countries for the allocation of 5G licences. Although SAA presents relatively
simple rules, it induces a complex strategic game for which the optimal bidding
strategy i... | http://arxiv.org/abs/2307.11428v2 |
3D visual grounding involves finding a target object in a 3D scene that
corresponds to a given sentence query. Although many approaches have been
proposed and achieved impressive performance, they all require dense
object-sentence pair annotations in 3D point clouds, which are both
time-consuming and expensive. To addr... | http://arxiv.org/abs/2307.09267v1 |
In this study, we consider a variant of unlabelled sensing where the
measurements are sparsely permuted, and additionally, a few correspondences are
known. We present an estimator to solve for the unknown vector. We derive a
theoretical upper bound on the $\ell_2$ reconstruction error of the unknown
vector. Through num... | http://arxiv.org/abs/2309.01397v1 |
We present a detailed scheme for the analog quantum simulation of Z2 gauge
theories in crystals of trapped ions, which exploits a more efficient hybrid
encoding of the gauge and matter fields using the native internal and motional
degrees of freedom. We introduce a versatile toolbox based on parametric
excitations corr... | http://arxiv.org/abs/2305.08700v2 |
The Vernier effect has seen extensive application in optical structures,
serving to augment the free spectral range (FSR). A substantial FSR is vital in
a myriad of applications including multiplexers, enabling a broad, clear band
comparable to the C-band to accommodate a maximum number of channels.
Nevertheless, a lar... | http://arxiv.org/abs/2305.17620v1 |
Transformer-based models, such as BERT and ViT, have achieved
state-of-the-art results across different natural language processing (NLP) and
computer vision (CV) tasks. However, these models are extremely memory
intensive during their fine-tuning process, making them difficult to deploy on
GPUs with limited memory res... | http://arxiv.org/abs/2305.18513v1 |
In this paper, we find a natural four dimensional analog of the moderate
deviation results for the capacity of the random walk, which corresponds to
Bass, Chen and Rosen \cite{BCR} concerning the volume of the random walk range
for $d=2$. We find that the deviation statistics of the capacity of the random
walk can be r... | http://arxiv.org/abs/2310.07685v3 |
We present the production cross section of heavy quarks \sigma^{cc},
\sigma^{bb} and {\sigma^{tt}} at the next-to-leading order in the
electron-proton interaction by using the quarks and gluon distribution
functions at the initial scale Q^{2}_{0}. To do this, we use a fitted form of
the heavy quark coefficient function... | http://arxiv.org/abs/2301.00873v2 |
Let $X$ be a cubic threefold, quartic double solid or Gushel--Mukai
threefold, and $\mathcal{K}u(X)\subset \mathrm{D}^b(X)$ be its Kuznetsov
component. We show that a stability condition $\sigma$ on $\mathcal{K}u(X)$ is
Serre-invariant if and only if its homological dimension is at most $2$. As a
corollary, we prove th... | http://arxiv.org/abs/2310.16950v1 |
The works of (Daskalakis et al., 2009, 2022; Jin et al., 2022; Deng et al.,
2023) indicate that computing Nash equilibria in multi-player Markov games is a
computationally hard task. This fact raises the question of whether or not
computational intractability can be circumvented if one focuses on specific
classes of Ma... | http://arxiv.org/abs/2305.14329v2 |
As the frontier of machine learning applications moves further into human
interaction, multiple concerns arise regarding automated decision-making. Two
of the most critical issues are fairness and data privacy. On the one hand, one
must guarantee that automated decisions are not biased against certain groups,
especiall... | http://arxiv.org/abs/2306.15567v1 |
In modern recommendation systems, the standard pipeline involves training
machine learning models on historical data to predict user behaviors and
improve recommendations continuously. However, these data training loops can
introduce interference in A/B tests, where data generated by control and
treatment algorithms, p... | http://arxiv.org/abs/2310.17496v5 |
The mechanism by which galaxies stop forming stars and get rid of their
interstellar medium (ISM) remains elusive. Here, we study a sample of more than
two thousand elliptical galaxies in which dust emission has been detected. This
is the largest sample of such galaxies ever analysed. We infer the timescale
for removal... | http://arxiv.org/abs/2306.05774v1 |
The L-shell fluorescence yields and the Coster-Kronig factors of ruthenium
(and the corresponding uncertainty) were determined for the first time
experimentally by applying radiometrically calibrated instrumentation of the
Physikalisch-Technische Bundesanstalt. The resulting fluorescence yields
($\omega_{L_3}=0.0459(20... | http://arxiv.org/abs/2303.07965v1 |
In this paper we investigate tensor fluctuations of the metric at the end of
a Higgs inflationary period in the context of a recently introduced complex
geometrical scalar-tensor theory of gravity. In our model the Higgs field has a
geometrical origin and the affine connection is determined by the Palatini's
principle.... | http://arxiv.org/abs/2306.03305v2 |
We use fitness graphs, or directed cube graphs, for analyzing evolutionary
reversibility. The main application is antimicrobial drug resistance.
Reversible drug resistance has been observed both clinically and
experimentally. If drug resistance depends on a single point mutation, then a
possible scenario is that the mu... | http://arxiv.org/abs/2307.14550v1 |
Multimodality eye disease screening is crucial in ophthalmology as it
integrates information from diverse sources to complement their respective
performances. However, the existing methods are weak in assessing the
reliability of each unimodality, and directly fusing an unreliable modality may
cause screening errors. T... | http://arxiv.org/abs/2303.09790v4 |
In the framework of collinear factorization and next-to-leading order (NLO)
perturbative QCD, we make predictions for inclusive and diffractive dijet
photoproduction in electron-proton and electron-nucleus scattering in the EIC
kinematics. We establish kinematic ranges in the ${\bar p}_T$, ${\bar \eta}$,
$x_A^{\rm obs}... | http://arxiv.org/abs/2303.05182v2 |
In this paper we consider ordinal sums of combinatorial games where each
summand is a number, not necessarily in canonical form. In doing so we give
formulas for the value of an ordinal sum of numbers where the literal form of
the base has certain properties. These formulas include a closed form of the
value of any ord... | http://arxiv.org/abs/2305.16516v1 |
Tokenization is a critical part of modern NLP pipelines. However,
contemporary tokenizers for Large Language Models are based on statistical
analysis of text corpora, without much consideration to the linguistic
features. I propose a linguistically motivated tokenization scheme, MorphPiece,
which is based partly on mor... | http://arxiv.org/abs/2307.07262v2 |
Inspired by recent observations of $T_{c\bar{s}0}(2900)^0$ in the $D_s^+
\pi^-$ invariant mass distribution of $B^0 \to \bar{D}^0 D_s^+ \pi^-$ decay and
$T_{c\bar{s}0}(2900)^{++}$ in the $D_s^+ \pi^+$ invariant mass distribution of
$B^+ \to D^- D_s^+ \pi^+$ decay, we investigate the $T_{c\bar{s}0}(2900)^{++}$
contribut... | http://arxiv.org/abs/2305.09436v1 |
Quantum coherence is a fundamental feature of quantum physics and plays a
significant role in quantum information processing. By generalizing the
resource theory of coherence from von Neumann measurements to positive
operator-valued measures (POVMs), POVM-based coherence measures have been
proposed with respect to the ... | http://arxiv.org/abs/2305.06705v1 |
This study compares the National Cybersecurity Strategies (NCSSs) of publicly
available documents of ten nations across Europe (United Kingdom, France,
Lithuania, Estonia, Spain, and Norway), Asia-Pacific (Singapore and Australia),
and the American region (the United States of America and Canada). The study
observed th... | http://arxiv.org/abs/2303.13938v1 |
Given a rational polytope $P \subset \mathbb R^d$, the numerical function
counting lattice points in the integral dilations of $P$ is known to become a
quasi-polynomial, called the Ehrhart quasi-polynomial $\mathrm{ehr}_P$ of $P$.
In this paper we study the following problem: Given a rational $d$-polytope $P
\subset \m... | http://arxiv.org/abs/2307.08151v1 |
We numerically investigate and develop analytic models for both the DC and
pulsed spin-orbit-torque (SOT)-driven response of order parameter in
single-domain Mn$_3$Sn, which is a metallic antiferromagnet with an anti-chiral
120$^\circ$ spin structure. We show that DC currents above a critical threshold
can excite oscil... | http://arxiv.org/abs/2305.08728v2 |
NSV 14264 and NSV 14172 are suspected to be variable stars of RR Lyr type
(Brun, 1964). They were observed during three nights in October 2018 with a
25cm diameter telescope. These observations completed by ASAS-SN survey data
bring to the conclusion that these two stars are not RR Lyraes but constant
stars in the limi... | http://arxiv.org/abs/2306.09166v1 |
In this work we introduce a structured signaling game, an extension of the
classical signaling game with a similarity structure between meanings in the
context, along with a variant of the Rational Speech Act (RSA) framework which
we call structured-RSA (sRSA) for pragmatic reasoning in structured domains. We
explore t... | http://arxiv.org/abs/2305.10167v1 |
In this paper, we propose a framework for early-stage malware detection and
mitigation by leveraging natural language processing (NLP) techniques and
machine learning algorithms. Our primary contribution is presenting an approach
for predicting the upcoming actions of malware by treating application
programming interfa... | http://arxiv.org/abs/2306.06255v1 |
We determine the contribution of long-range pion interactions to the
$X(3872)$ dynamics, assuming it is a loosely bound $D^0 \bar{D}^{*0}$ molecule.
Our result is based on the distorted wave Born approximation in
non-relativistic quantum mechanics. Despite their long-range nature, we find
that pion interactions cannot ... | http://arxiv.org/abs/2307.11400v2 |
The extraordinary capabilities of large language models (LLMs) such as
ChatGPT and GPT-4 are in part unleashed by aligning them with reward models
that are trained on human preferences, which are often represented as rankings
of responses to prompts. In this paper, we document the phenomenon of
\textit{reward collapse}... | http://arxiv.org/abs/2305.17608v1 |
Traffic scene perception in computer vision is a critically important task to
achieve intelligent cities. To date, most existing datasets focus on autonomous
driving scenes. We observe that the models trained on those driving datasets
often yield unsatisfactory results on traffic monitoring scenes. However,
little effo... | http://arxiv.org/abs/2303.02835v2 |
Path planning is a basic capability of autonomous mobile robots. Former
approaches in path planning exploit only the given geometric information from
the environment without leveraging the inherent semantics within the
environment. The recently presented S-Graphs constructs 3D situational graphs
incorporating geometric... | http://arxiv.org/abs/2307.01613v1 |
Hematoxylin and Eosin (H&E) staining is a widely used sample preparation
procedure for enhancing the saturation of tissue sections and the contrast
between nuclei and cytoplasm in histology images for medical diagnostics.
However, various factors, such as the differences in the reagents used, result
in high variability... | http://arxiv.org/abs/2305.14301v2 |
The global need for effective disease diagnosis remains substantial, given
the complexities of various disease mechanisms and diverse patient symptoms. To
tackle these challenges, researchers, physicians, and patients are turning to
machine learning (ML), an artificial intelligence (AI) discipline, to develop
solutions... | http://arxiv.org/abs/2310.16978v1 |
Under the assumption that jets explode all core collapse supernovae (CCSNe) I
classify 14 CCSN remnants (CCSNRs) into five groups according to their
morphology as shaped by jets, and attribute the classes to the specific angular
momentum of the pre-collapse core. Point-symmetry (1 CCSNR): According to the
jittering jet... | http://arxiv.org/abs/2307.15666v3 |
Quantum coherence is a crucial prerequisite for quantum technologies.
Therefore, the robust generation, as autonomous as possible, of quantum
coherence remains the essential problem for developing this field. We consider
a method of synthesizing and multiplexing quantum coherence from spin systems
without any direct dr... | http://arxiv.org/abs/2303.07795v3 |
A number of arguments at the interplay of general relativity and quantum
theory suggest an operational limit to spatial resolution, conventionally
modelled as a generalized uncertainty principle (GUP). Recently, it has been
demonstrated that the dynamics postulated as a part of these models are only
loosely related to ... | http://arxiv.org/abs/2307.12109v1 |
We describe a first measurement of the radiation from a $^{\bf 178m}$Hf
sample to search for dark matter. The $\gamma$ flux from this sample, possessed
by Los Alamos National Laboratory nuclear chemistry, was measured with a Ge
detector at a distance of 4 ft due to its high activity. We search for
$\gamma$s that cannot... | http://arxiv.org/abs/2306.04442v1 |
We describe the Gerstenhaber bracket structure on Hochschild cohomology of
Koszul quiver algebras in terms of homotopy lifting maps. There is a projective
bimodule resolution of Koszul quiver algebras that admits a comultiplicative
structure. Introducing new scalars, we describe homotopy lifting maps
associated to Hoch... | http://arxiv.org/abs/2308.12954v1 |
We present analytic expressions for the density of states and its consistent
derivation for the two-dimensional Qi-Wu-Zhang (QWZ) Hamiltonian, a generic
model for the Chern topological insulators of class A. This density of states
is expressed in terms of elliptical integrals. We discuss and plot special
cases of the d... | http://arxiv.org/abs/2308.03681v2 |
Quantum private information retrieval (QPIR) for quantum messages is a
quantum communication task, in which a user retrieves one of the multiple
quantum states from the server without revealing which state is retrieved. In
the one-server setting, we find an exponential gap in the communication
complexities between the ... | http://arxiv.org/abs/2304.05125v1 |
Few-shot text classification systems have impressive capabilities but are
infeasible to deploy and use reliably due to their dependence on prompting and
billion-parameter language models. SetFit (Tunstall et al., 2022) is a recent,
practical approach that fine-tunes a Sentence Transformer under a contrastive
learning p... | http://arxiv.org/abs/2302.08957v3 |
Inverse optimal control can be used to characterize behavior in sequential
decision-making tasks. Most existing work, however, is limited to fully
observable or linear systems, or requires the action signals to be known. Here,
we introduce a probabilistic approach to inverse optimal control for partially
observable sto... | http://arxiv.org/abs/2303.16698v2 |
Graph Transformer (GT) recently has emerged as a new paradigm of graph
learning algorithms, outperforming the previously popular Message Passing
Neural Network (MPNN) on multiple benchmarks. Previous work (Kim et al., 2022)
shows that with proper position embedding, GT can approximate MPNN arbitrarily
well, implying th... | http://arxiv.org/abs/2301.11956v4 |
Automatic Speech Recognition (ASR) has witnessed a profound research
interest. Recent breakthroughs have given ASR systems different prospects such
as faithfully transcribing spoken language, which is a pivotal advancement in
building conversational agents. However, there is still an imminent challenge
of accurately di... | http://arxiv.org/abs/2310.09680v4 |
We propose and study a one-dimensional (1D) model consisting of two lanes
with open boundaries. One of the lanes executes diffusive and the other lane
driven unidirectional or asymmetric exclusion dynamics, which are mutually
coupled through particle exchanges in the bulk. We elucidate the generic
nonuniform steady sta... | http://arxiv.org/abs/2306.14651v2 |
We use the Random Forest (RF) algorithm to develop a tool for automated
activity classification of galaxies into 5 different classes: Star-forming
(SF), AGN, LINER, Composite, and Passive. We train the algorithm on a
combination of mid-IR (WISE) and optical photometric data while the true labels
(activity classes) are ... | http://arxiv.org/abs/2303.11691v1 |
Text-to-image diffusion models can generate diverse, high-fidelity images
based on user-provided text prompts. Recent research has extended these models
to support text-guided image editing. While text guidance is an intuitive
editing interface for users, it often fails to ensure the precise concept
conveyed by users. ... | http://arxiv.org/abs/2305.15779v1 |
This paper introduces a new transformer-based model for the problem of travel
time estimation. The key feature of the proposed GCT-TTE architecture is the
utilization of different data modalities capturing different properties of an
input path. Along with the extensive study regarding the model configuration,
we implem... | http://arxiv.org/abs/2306.04324v2 |
In this paper, modulation instability and nonlinear supratransmission are
investigated in a one-dimensional chain of atoms using cubic-quartic
nonlinearity coefficients. As a result, we establish the discrete nonlinear
evolution equation by using the multi-scale scheme. To calculate the modulation
instability gain, we ... | http://arxiv.org/abs/2303.01482v1 |
Optimal transport and its related problems, including optimal partial
transport, have proven to be valuable tools in machine learning for computing
meaningful distances between probability or positive measures. This success has
led to a growing interest in defining transport-based distances that allow for
comparing sig... | http://arxiv.org/abs/2307.13571v1 |
"Flying focus" techniques produce laser pulses with dynamic focal points that
travels distances much greater than a Rayleigh length. The implementation of
these techniques in laser-based applications requires the design of optical
configurations that can both extend the focal range and structure the radial
group delay.... | http://arxiv.org/abs/2307.05313v1 |
Water and ammonia vapors are known to be the major sources of spectral
absorption at pressure levels observed by the microwave radiometer (MWR) on
Juno. However, the brightness temperatures and limb darkening observed by the
MWR at its longest wavelength channel of 50 cm (600 MHz) in the first 9
perijove passes indicat... | http://arxiv.org/abs/2306.12546v1 |
This paper investigates links between the eigenvalues and eigenfunctions of
the Laplace-Beltrami operator, and the higher Cheeger constants of smooth
Riemannian manifolds, possibly weighted and/or with boundary. The higher
Cheeger constants give a loose description of the major geometric features of a
manifold. We give... | http://arxiv.org/abs/2308.04850v1 |
Software visualizations are usually realized as standalone and isolated tools
that use embedded code viewers within the visualization. In the context of
program comprehension, only few approaches integrate visualizations into code
editors, such as integrated development environments. This is surprising since
profession... | http://arxiv.org/abs/2308.15785v1 |
The FLAIR #2 dataset hereby presented includes two very distinct types of
data, which are exploited for a semantic segmentation task aimed at mapping
land cover. The data fusion workflow proposes the exploitation of the fine
spatial and textural information of very high spatial resolution (VHR)
mono-temporal aerial ima... | http://arxiv.org/abs/2305.14467v1 |
The spread of toxic content online is an important problem that has adverse
effects on user experience online and in our society at large. Motivated by the
importance and impact of the problem, research focuses on developing solutions
to detect toxic content, usually leveraging machine learning (ML) models
trained on h... | http://arxiv.org/abs/2308.05596v1 |
We perform the linear analysis of causality and stability for a minimal
extended spin hydrodynamics up to second order of the gradient expansion. The
first order spin hydrodynamics, with a rank-3 spin tensor being antisymmetric
for only the last two indices, are proved to be acausal and unstable. We then
consider the m... | http://arxiv.org/abs/2306.13880v3 |
Current benchmarks for evaluating neural code models focus on only a small
subset of programming languages, excluding many popular languages such as Go or
Rust. To ameliorate this issue, we present the BabelCode framework for
execution-based evaluation of any benchmark in any language. BabelCode enables
new investigati... | http://arxiv.org/abs/2302.01973v3 |
In the quantum theory, it has been shown that one can see if a process has
the time reversal symmetry by applying the matrix transposition and examining
if it remains physical. However, recent discoveries regarding the indefinite
causal order of quantum processes suggest that there may be other, more general
symmetry t... | http://arxiv.org/abs/2306.02755v3 |
The exponential growth in the digitisation of services implies the handling
and storage of large volumes of data. Businesses and services see data sharing
and crossing as an opportunity to improve and produce new business
opportunities. The health sector is one area where this proves to be true,
enabling better and mor... | http://arxiv.org/abs/2307.01175v1 |
Language models are increasingly being deployed for general problem solving
across a wide range of tasks, but are still confined to token-level,
left-to-right decision-making processes during inference. This means they can
fall short in tasks that require exploration, strategic lookahead, or where
initial decisions pla... | http://arxiv.org/abs/2305.10601v2 |
Multi-task missions for unmanned aerial vehicles (UAVs) involving inspection
and landing tasks are challenging for novice pilots due to the difficulties
associated with depth perception and the control interface. We propose a shared
autonomy system, alongside supplementary information displays, to assist pilots
to succ... | http://arxiv.org/abs/2306.09600v1 |
Quantum neural networks (QNNs) succeed in object recognition, natural
language processing, and financial analysis. To maximize the accuracy of a QNN
on a Noisy Intermediate Scale Quantum (NISQ) computer, approximate synthesis
modifies the QNN circuit by reducing error-prone 2-qubit quantum gates. The
success of QNNs mo... | http://arxiv.org/abs/2307.09529v2 |
We examine the routing problem for self-interested vehicles using stochastic
decision strategies. By approximating the road latency functions and a
non-linear variable transformation, we frame the problem as an aggregative
game. We characterize the approximation error and we derive a new monotonicity
condition for a br... | http://arxiv.org/abs/2303.03295v2 |
We study gravitational absorption effects using effective on-shell scattering
amplitudes. We develop an in-in probability-based framework involving plane-
and partial-wave coherent states for the incoming wave to describe the
interaction of the wave with a black hole or another compact object. We connect
this framework... | http://arxiv.org/abs/2307.07504v3 |
We study random velocity effects on a two-species reaction-diffusion system
consisting of three reaction processes $A + A \rightarrow (\varnothing, A),A+B
\rightarrow A$. Using the field-theoretic perturbative renormalization group we
analyze this system in the vicinity of its upper critical dimension $d_c = 2$.
Veloci... | http://arxiv.org/abs/2305.09350v1 |
In this paper, we characterize Probabilistic Principal Component Analysis in
Hilbert spaces and demonstrate how the optimal solution admits a representation
in dual space. This allows us to develop a generative framework for kernel
methods. Furthermore, we show how it englobes Kernel Principal Component
Analysis and il... | http://arxiv.org/abs/2307.10078v1 |
Quantum machine learning (QML) has witnessed immense progress recently, with
quantum support vector machines (QSVMs) emerging as a promising model. This
paper focuses on the two existing QSVM methods: quantum kernel SVM (QK-SVM) and
quantum variational SVM (QV-SVM). While both have yielded impressive results,
we presen... | http://arxiv.org/abs/2305.06063v2 |
This work analyzes and parallelizes LearnedSort, the novel algorithm that
sorts using machine learning models based on the cumulative distribution
function. LearnedSort is analyzed under the lens of algorithms with
predictions, and it is argued that LearnedSort is a learning-augmented
SampleSort. A parallel LearnedSort... | http://arxiv.org/abs/2307.08637v1 |
The bright, blue, rapidly evolving AT2018cow is a well-studied peculiar
extragalactic transient. Despite an abundance of multi-wavelength data, there
still is no consensus on the nature of the event. We present our analysis of
three epochs of Hubble Space Telescope (HST) observations spanning the period
from 713-1474 d... | http://arxiv.org/abs/2308.07381v1 |
Neural Cellular Automata (NCA) are a powerful combination of machine learning
and mechanistic modelling. We train NCA to learn complex dynamics from time
series of images and PDE trajectories. Our method is designed to identify
underlying local rules that govern large scale dynamic emergent behaviours.
Previous work on... | http://arxiv.org/abs/2310.14809v2 |
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