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Generative Flow Networks (GFlowNets), a class of generative models over
discrete and structured sample spaces, have been previously applied to the
problem of inferring the marginal posterior distribution over the directed
acyclic graph (DAG) of a Bayesian Network, given a dataset of observations.
Based on recent advanc... | http://arxiv.org/abs/2305.19366v2 |
Processing visual data on mobile devices has many applications, e.g.,
emergency response and tracking. State-of-the-art computer vision techniques
rely on large Deep Neural Networks (DNNs) that are usually too power-hungry to
be deployed on resource-constrained edge devices. Many techniques improve the
efficiency of DN... | http://arxiv.org/abs/2309.01824v1 |
Ionized nebulae provide critical insights into the conditions of the
interstellar medium (ISM). Their bright emission lines enable the measurement
of physical properties, such as the gas-phase metallicity, across galaxy disks
and in distant galaxies. The PHANGS--MUSE survey has produced optical
spectroscopic coverage o... | http://arxiv.org/abs/2301.03811v1 |
In these notes, using the method of differential constraints, novel exact
kink-like solutions are obtained for certain classes of complex
Ginzburg--Landau equations with cubic-quintic nonlinearity. The foregoing
solutions are presented in terms of the Lambert W function. | http://arxiv.org/abs/2304.07271v1 |
Scene flow estimation is the task of describing the 3D motion field between
temporally successive point clouds. State-of-the-art methods use strong priors
and test-time optimization techniques, but require on the order of tens of
seconds to process full-size point clouds, making them unusable as computer
vision primiti... | http://arxiv.org/abs/2305.10424v8 |
The Right to Explanation is an important regulatory principle that allows
individuals to request actionable explanations for algorithmic decisions.
However, several technical challenges arise when providing such actionable
explanations in practice. For instance, models are periodically retrained to
handle dataset shift... | http://arxiv.org/abs/2306.06716v1 |
One-dimensional (1D) topological superconductivity is a state of matter that
is not found in nature. However, it can be realised, for example, by inducing
superconductivity into the quantum spin Hall edge state of a two-dimensional
topological insulator. Because topological superconductors are proposed to host
Majorana... | http://arxiv.org/abs/2304.08142v1 |
Many recent breakthroughs in machine learning have been enabled by the
pre-trained foundation models. By scaling up model parameters, training data,
and computation resources, foundation models have significantly advanced the
state-of-the-art in many applications. However, it is still an open question of
how to use the... | http://arxiv.org/abs/2310.03188v1 |
Lectures are a learning experience for both students and teachers. Students
learn from teachers about the subject material, while teachers learn from
students about how to refine their instruction. However, online student
feedback is unstructured and abundant, making it challenging for teachers to
learn and improve. We... | http://arxiv.org/abs/2306.09343v1 |
The appearance of chaotic quantum dynamics significantly depends on the
symmetry properties of the system, and in cold atomic systems many of these can
be experimentally controlled. In this work, we systematically study the
emergence of quantum chaos in a minimal system describing one-dimensional
harmonically trapped B... | http://arxiv.org/abs/2301.04818v2 |
Generalized disformal transformations enable us to construct the generalized
disformal Horndeski theories, which form the most general class of ghost-free
scalar-tensor theories to this date. We extend the effective field theory (EFT)
of cosmological perturbations to incorporate these generalized disformal
Horndeski th... | http://arxiv.org/abs/2304.08624v2 |
Quality Diversity (QD) has emerged as a powerful alternative optimization
paradigm that aims at generating large and diverse collections of solutions,
notably with its flagship algorithm MAP-ELITES (ME) which evolves solutions
through mutations and crossovers. While very effective for some unstructured
problems, early ... | http://arxiv.org/abs/2303.12803v2 |
If each vertex of an acyclic digraph has indegree at most $i$ and outdegree
at most $j$, then it is called an $(i,j)$ digraph, which was introduced by
Hefner~{\it et al.}~(1991). Whereas Hefner~{\it et al.} characterized $(i,j)$
digraphs whose competition graphs are interval, characterizing the competition
graphs of $(... | http://arxiv.org/abs/2307.11625v2 |
Semantic segmentation in adverse weather scenarios is a critical task for
autonomous driving systems. While foundation models have shown promise, the
need for specialized adaptors becomes evident for handling more challenging
scenarios. We introduce DiffPrompter, a novel differentiable visual and latent
prompting mecha... | http://arxiv.org/abs/2310.04181v2 |
Diabetic Foot is one of the most common complications of Diabetes Mellitus
and the leading non-traumatic cause of lower-limb amputations worldwide. These
complications are preventable with early diagnosis and timely care. However,
even in the context of expanding primary health care, this problem continues to
increase,... | http://arxiv.org/abs/2302.02939v1 |
The discrete collisional breakage equation, which captures the dynamics of
cluster growth when clusters encounter binary collisions with possible matter
transfer, is discussed in this article. The existence of global mass-conserving
solutions is investigated for the collision kernels $a_{i,j}=A(i^{\alpha}
j^{\beta} + i... | http://arxiv.org/abs/2306.16263v2 |
Heterogeneous computing environments combining CPU and GPU resources provide
a great boost to large-scale scientific computing applications. Code generation
utilities that partition the work into CPU and GPU tasks while considering data
movement costs allow researchers to more quickly and easily develop
high-performanc... | http://arxiv.org/abs/2305.19400v1 |
In this work we study the existence of surjective Nash maps between two given
semialgebraic sets ${\mathcal S}$ and ${\mathcal T}$. Some key ingredients are:
the irreducible components ${\mathcal S}_i^*$ of ${\mathcal S}$ (and their
intersections), the analytic-path connected components ${\mathcal T}_j$ of
${\mathcal T... | http://arxiv.org/abs/2306.00401v1 |
The angular measure on the unit sphere characterizes the first-order
dependence structure of the components of a random vector in extreme regions
and is defined in terms of standardized margins. Its statistical recovery is an
important step in learning problems involving observations far away from the
center. In the co... | http://arxiv.org/abs/2305.16733v4 |
We present an algorithm for massive parton evolution which is based on the
differentially accurate simulation of soft-gluon radiation by means of a
non-trivial azimuthal angle dependence of the splitting functions. The
kinematics mapping is chosen such as to to reflect the symmetry of the final
state in soft-gluon radi... | http://arxiv.org/abs/2307.00728v2 |
The capabilities of pretrained language models have opened opportunities to
explore new application areas, but applications involving human-human
interaction are limited by the fact that most data is protected from public
release for privacy reasons. Problem-solving human dialogues in real
applications can be much more... | http://arxiv.org/abs/2307.07047v2 |
In this survey paper we first present the main properties of sequentially
Cohen-Macaulay modules. Some basic examples are provided to help the reader
with quickly getting acquainted with this topic. We then discuss two
generalizations of the notion of sequential Cohen-Macaulayness which are
inspired by a theorem of J\"... | http://arxiv.org/abs/2304.06609v1 |
We propose a generalization of the Green-Griffiths-Lang conjecture to the
relative setting and prove that a strong form of it holds for families of
varieties of maximal Albanese dimension. A key step of the proof consists in a
truncated second main theorem type estimate in Nevanlinna theory for families
of abelian vari... | http://arxiv.org/abs/2305.09613v1 |
Nonlinear topological insulators have garnered substantial recent attention
as they have both enabled the discovery of new physics due to interparticle
interactions, and may have applications in photonic devices such as topological
lasers and frequency combs. However, due to the local nature of nonlinearities,
previous... | http://arxiv.org/abs/2307.08374v1 |
While unsupervised change detection using contrastive learning has been
significantly improved the performance of literature techniques, at present, it
only focuses on the bi-temporal change detection scenario. Previous
state-of-the-art models for image time-series change detection often use
features obtained by learni... | http://arxiv.org/abs/2304.11375v1 |
Proteins perform much of the work in living organisms, and consequently the
development of efficient computational methods for protein representation is
essential for advancing large-scale biological research. Most current
approaches struggle to efficiently integrate the wealth of information
contained in the protein s... | http://arxiv.org/abs/2306.04667v1 |
Maxwell's demon is a famous thought experiment and a paradigm of the
thermodynamics of information. It is related to Szilard's engine, a two-state
information-to-work conversion device in which the demon performs single
measurements and extracts work depending on the state measurement outcome. A
variant of these models... | http://arxiv.org/abs/2305.05029v2 |
Self-propulsion of catalytic Janus swimmers in electrolyte solutions is
induced by inhomogeneous ion release from their surface. Here, we consider the
experimentally relevant cases of particles which emit only one type of ions
(type I) or equal fluxes of cations and anions (type II). In the limit of a
thin electrostati... | http://arxiv.org/abs/2304.05300v1 |
Recently a new class of continued fraction algorithms, the
$(N,\alpha$)-expansions, was introduced for each $N\in\mathbb{N}$, $N\geq 2$
and $\alpha \in (0,\sqrt{N}-1]$. Each of these continued fraction algorithms
has only finitely many possible digits. These $(N,\alpha)$-expansions `behave'
very different from many oth... | http://arxiv.org/abs/2310.16585v1 |
Intensity interferometry -- the correlation of spatially separated light
intensities -- has historically been an important tool for precision optical
astronomical observations. However, due to the extremely narrow field of view,
its scope has been limited to studies of the morphology of very bright emission
regions, pr... | http://arxiv.org/abs/2307.03221v1 |
This paper introduces Sparsified Late Interaction for Multi-vector (SLIM)
retrieval with inverted indexes. Multi-vector retrieval methods have
demonstrated their effectiveness on various retrieval datasets, and among them,
ColBERT is the most established method based on the late interaction of
contextualized token embe... | http://arxiv.org/abs/2302.06587v2 |
The Message Queuing Telemetry Transport (MQTT) protocol is one of the most
widely used IoT protocol solutions. In this work, we are especially interested
in open-source MQTT Broker implementations (such as Mosquitto, EMQX, RabbitMQ,
VerneMQ, and HiveMQ). To this end, we engineer a network testbed to
experimentally benc... | http://arxiv.org/abs/2305.13893v1 |
Blind Quantum Computation (BQC) is a delegation computing protocol that
allows a client to utilize a remote quantum server to implement desired quantum
computations while keeping her inputs, outputs, and algorithms private.
However, qubit errors during the quantum computation are important issues that
need to be addres... | http://arxiv.org/abs/2301.01960v3 |
Globular clusters have been widely studied in terms of light element
variations present in their different stellar populations. However, the nature
of the polluter(s) responsible for this phenomenon is still debated. The study
of heavy elements and their relation to light ones can provide further
constraints. In partic... | http://arxiv.org/abs/2302.07699v1 |
Human movement analysis is a key area of research in robotics, biomechanics,
and data science. It encompasses tracking, posture estimation, and movement
synthesis. While numerous methodologies have evolved over time, a systematic
and quantitative evaluation of these approaches using verifiable ground truth
data of thre... | http://arxiv.org/abs/2304.03771v1 |
Multilingual machine translation (MMT), trained on a mixture of parallel and
monolingual data, is key for improving translation in low-resource language
pairs. However, the literature offers conflicting results on the performance of
different methods of including monolingual data. To resolve this, we examine
how denois... | http://arxiv.org/abs/2305.14124v3 |
Federated learning (FL) is a trending distributed learning framework that
enables collaborative model training without data sharing. Machine learning
models trained on datasets can potentially expose the private information of
the training data, revealing details about individual data records. In this
study, we focus o... | http://arxiv.org/abs/2306.02216v1 |
Interpretability is highly desired for deep neural network-based classifiers,
especially when addressing high-stake decisions in medical imaging. Commonly
used post-hoc interpretability methods have the limitation that they can
produce plausible but different interpretations of a given model, leading to
ambiguity about... | http://arxiv.org/abs/2303.06876v3 |
We present results of dust continuum and [CII]$\,158\,{\rm \mu m}$ emission
line observations of a remarkably UV-luminous ($M_{\rm UV}=-21.6$) galaxy at
$z=10.603$: GN-z11. Using the Northern Extended Millimeter Array (NOEMA),
observations have been carried out over multiple observing cycles. We achieved
a high sensiti... | http://arxiv.org/abs/2309.02493v1 |
A significant hurdle in developing high-performance semiconductor quantum
technologies utilizing deep defects is related to charge dynamics.
Unfortunately, progress in modeling their charge dynamics has been hindered
over recent decades due to the absence of appropriate multiscale models capable
of accurately represent... | http://arxiv.org/abs/2306.12005v2 |
While GPT-2 generates sentences that are remarkably human-like, longer
documents can ramble and do not follow human-like writing structure. We study
the problem of imposing structure on long-range text. We propose a novel
controlled text generation task, sequentially controlled text generation, and
identify a dataset, ... | http://arxiv.org/abs/2301.02299v1 |
We build a smooth real potential $V(t,x)$ on $(t_0,+\infty)\times
\mathbb{R}^2$ decaying to zero as $t\to \infty$ and a smooth solution to the
associated perturbed cubic Nonlinear Harmonic Oscillator whose Sobolev norms
blow up logarithmically as $t\to \infty$. Adapting the method of Faou and
Raphael for the linear cas... | http://arxiv.org/abs/2306.11524v1 |
The screening masses of mesons provide a gauge invariant and definite order
parameter of chiral symmetry restoration. Different mesonic correlation lengths
for flavor non-singlets, at least up to NLO, are well-defined gauge invariant
physical quantities calculated earlier using the perturbative resummation
techniques. ... | http://arxiv.org/abs/2305.08525v2 |
Efficiently obtaining the up-to-date information in the disaster-stricken
area is the key to successful disaster response. Unmanned aerial vehicles
(UAVs), workers and cars can collaborate to accomplish sensing tasks, such as
data collection, in disaster-stricken areas. In this paper, we explicitly
address the route pl... | http://arxiv.org/abs/2308.11088v1 |
It is anticipated that integrated sensing and communications (ISAC) would be
one of the key enablers of next-generation wireless networks (such as beyond 5G
(B5G) and 6G) for supporting a variety of emerging applications. In this paper,
we provide a comprehensive review of the recent advances in ISAC systems, with
a pa... | http://arxiv.org/abs/2305.00179v2 |
The linear absorption spectrum of J and H molecular aggregates is studied
using the time-dependent Dirac-Frenkel variational principle (TDVP) with the
multi-Davydov D2 (mD2) trial wavefunction (Ansatz). Both the electronic and
vibrational molecular degrees of freedom (DOF) are considered. By inspecting
and comparing ab... | http://arxiv.org/abs/2306.00429v1 |
Detecting travel modes from global navigation satellite system (GNSS)
trajectories is essential for understanding individual travel behavior and a
prerequisite for achieving sustainable transport systems. While studies have
acknowledged the benefits of incorporating geospatial context information into
travel mode detec... | http://arxiv.org/abs/2305.19428v2 |
Community detection becomes an important problem with the booming of social
networks. The Medoid-Shift algorithm preserves the benefits of Mean-Shift and
can be applied to problems based on distance matrix, such as community
detection. One drawback of the Medoid-Shift algorithm is that there may be no
data points withi... | http://arxiv.org/abs/2304.09512v2 |
Trust is a key motivation in developing explainable artificial intelligence
(XAI). However, researchers attempting to measure trust in AI face numerous
challenges, such as different trust conceptualizations, simplified experimental
tasks that may not induce uncertainty as a prerequisite for trust, and the lack
of valid... | http://arxiv.org/abs/2303.16495v1 |
This paper presents our contribution to the MEDIQA-2023 Dialogue2Note shared
task, encompassing both subtask A and subtask B. We approach the task as a
dialogue summarization problem and implement two distinct pipelines: (a) a
fine-tuning of a pre-trained dialogue summarization model and GPT-3, and (b)
few-shot in-cont... | http://arxiv.org/abs/2305.05001v1 |
We study the problem of uncertainty quantification via prediction sets, in an
online setting where the data distribution may vary arbitrarily over time.
Recent work develops online conformal prediction techniques that leverage
regret minimization algorithms from the online learning literature to learn
prediction sets w... | http://arxiv.org/abs/2302.07869v1 |
Failure to recognize samples from the classes unseen during training is a
major limitation of artificial intelligence in the real-world implementation
for recognition and classification of retinal anomalies. We established an
uncertainty-inspired open-set (UIOS) model, which was trained with fundus
images of 9 retinal ... | http://arxiv.org/abs/2304.03981v3 |
This study constructs machine learning algorithms that are trained to
classify samples using sound symbolism, and then it reports on an experiment
designed to measure their understanding against human participants. Random
forests are trained using the names of Pokemon, which are fictional video game
characters, and the... | http://arxiv.org/abs/2301.01948v1 |
Fine-tuning large pre-trained language models on various downstream tasks
with whole parameters is prohibitively expensive. Hence, Parameter-efficient
fine-tuning has attracted attention that only optimizes a few task-specific
parameters with the frozen pre-trained model. In this work, we focus on prefix
tuning, which ... | http://arxiv.org/abs/2305.15212v1 |
Consider a semigraph $G=(V,\,E)$; in this paper, we study the eigenvalues of
the Laplacian matrix of $G$. We show that the Laplacian of $G$ is positive
semi-definite, and $G$ is connected if and only if $\lambda_2 >0.$ Along the
similar lines of graph theory bounds on the largest eigenvalue, we obtain upper
and lower b... | http://arxiv.org/abs/2307.03209v1 |
Hybrid magnonics involving coupling between magnons and different quantum
particles have been extensively studied during past few years for varied
interests including quantum electrodynamics. In such systems, magnons in
magnetic materials with high spin density are utilized where the coupling
strength is collectively e... | http://arxiv.org/abs/2301.11583v1 |
Language models (LMs) are pretrained to imitate internet text, including
content that would violate human preferences if generated by an LM: falsehoods,
offensive comments, personally identifiable information, low-quality or buggy
code, and more. Here, we explore alternative objectives for pretraining LMs in
a way that... | http://arxiv.org/abs/2302.08582v2 |
Unsupervised learning of vision transformers seeks to pretrain an encoder via
pretext tasks without labels. Among them is the Masked Image Modeling (MIM)
aligned with pretraining of language transformers by predicting masked patches
as a pretext task. A criterion in unsupervised pretraining is the pretext task
needs to... | http://arxiv.org/abs/2303.07598v1 |
A new and promising avenue was recently developed for analyzing large-scale
structure data with a model-independent approach, in which the linear power
spectrum shape is parametrized with a large number of freely varying wavebands
rather than by assuming specific cosmological models. We call this method
FreePower.
He... | http://arxiv.org/abs/2307.02117v2 |
The combination of surface coils and metamaterials remarkably enhance
magnetic resonance imaging (MRI) performance for significant local staging
flexibility. However, due to the coupling in between, impeded signal-to-noise
ratio (SNR) and low-contrast resolution, further hamper the future growth in
clinical MRI. In thi... | http://arxiv.org/abs/2310.19846v1 |
In recent years, differential privacy has seen significant advancements in
image classification; however, its application to video activity recognition
remains under-explored. This paper addresses the challenges of applying
differential privacy to video activity recognition, which primarily stem from:
(1) a discrepancy... | http://arxiv.org/abs/2306.15742v1 |
Accurate load forecasting is critical for efficient and reliable operations
of the electric power system. A large part of electricity consumption is
affected by weather conditions, making weather information an important
determinant of electricity usage. Personal appliances and industry equipment
also contribute signif... | http://arxiv.org/abs/2310.08793v1 |
The recent discovery of Ising superconductivity has garnered a lot of
interest due in part to the resilience of these superconductors to large
in-plane magnetic fields. In this Perspective we explain the basic concepts
that define the behavior of Ising superconductors, provide an overview of the
electronic structure an... | http://arxiv.org/abs/2304.03759v1 |
There are many forecasting related packages in R with varied popularity, the
most famous of all being \texttt{forecast}, which implements several important
forecasting approaches, such as ARIMA, ETS, TBATS and others. However, the main
issue with the existing functionality is the lack of flexibility for research
purpos... | http://arxiv.org/abs/2301.01790v1 |
Bound states in quantum dots coupled to superconductors can be in a coherent
superposition of states with different electron number but with the same
fermion parity. Electrostatic gating can tune this superposition to a sweet
spot, where the quantum dot has the same mean electric charge independent of
its electron-numb... | http://arxiv.org/abs/2307.05678v2 |
Part-prototype networks have recently become methods of interest as an
interpretable alternative to many of the current black-box image classifiers.
However, the interpretability of these methods from the perspective of human
users has not been sufficiently explored. In this work, we have devised a
framework for evalua... | http://arxiv.org/abs/2310.06966v1 |
The rapid expansion of the Internet of Things (IoT) and Edge Computing has
presented challenges for centralized Machine and Deep Learning (ML/DL) methods
due to the presence of distributed data silos that hold sensitive information.
To address concerns regarding data privacy, collaborative and
privacy-preserving ML/DL ... | http://arxiv.org/abs/2302.09844v2 |
We calculate hyperfine structure of $^{229}$Th and its ions (Th~IV, Th~III,
Th~II, Th~I) to reveal the dependence of the nuclear clock frequency on the
hyperfine interaction (hfi). We calculate first and second-order hfi shifts and
demonstrate that due to the differences in the hyperfine structure for
different ions an... | http://arxiv.org/abs/2310.18580v1 |
The quasielastic cross-section of charged-current neutrino and antineutrino
scattering on $^{12}$C is calculated using an improved superscaling model with
relativistic effective mass. Our model encompasses two-particle emission
induced by neutrinos, which we distinguish into two contributions. The first
contribution ar... | http://arxiv.org/abs/2308.13847v1 |
We give necessary and sufficient conditions under which a quasi-action of any
group on an arbitrary metric space can be reduced to a cobounded isometric
action on some bounded valence tree, following a result of Mosher, Sageev and
Whyte. Moreover if the quasi-action is metrically proper and quasi-orbits are
quasi-isome... | http://arxiv.org/abs/2305.13105v1 |
We model the influence of an in-plane magnetic field on the orbital motion of
electrons in rhombohedral graphene multilayers. For zero field, the low-energy
band structure includes a pair of flat bands near zero energy which are
localized on the surface layers of a finite thin film. For finite field, we
find that the z... | http://arxiv.org/abs/2306.05237v2 |
Moving objects with optical or acoustical waves is a topic both of
fundamental interest and of importance for a range of practical applications.
One particularly intriguing example is the tractor beam, which pulls an object
toward the wave's source, in opposition to the wave's momentum. In this study,
we introduce a pr... | http://arxiv.org/abs/2305.03316v1 |
Sign language detection, identifying if someone is signing or not, is
becoming crucially important for its applications in remote conferencing
software and for selecting useful sign data for training sign language
recognition or translation tasks. We argue that the current benchmark data sets
for sign language detectio... | http://arxiv.org/abs/2303.10782v1 |
The massive trend toward embedded systems introduces new security threats to
prevent. Malicious firmware makes it easier to launch cyberattacks against
embedded systems. Systems infected with malicious firmware maintain the
appearance of normal firmware operation but execute undesirable activities,
which is usually a s... | http://arxiv.org/abs/2301.06799v1 |
Network-level privacy is the Achilles heel of financial privacy in
cryptocurrencies. Financial privacy amounts to achieving and maintaining
blockchain- and network-level privacy. Blockchain-level privacy recently
received substantial attention. Specifically, several privacy-enhancing
technologies were proposed and depl... | http://arxiv.org/abs/2306.15024v1 |
We consider the problem of answering observational, interventional, and
counterfactual queries in a causally sufficient setting where only
observational data and the causal graph are available. Utilizing the recent
developments in diffusion models, we introduce diffusion-based causal models
(DCM) to learn causal mechan... | http://arxiv.org/abs/2302.00860v3 |
This study introduces a novel approach to generate dance motions using
onomatopoeia as input, with the aim of enhancing creativity and diversity in
dance generation. Unlike text and music, onomatopoeia conveys rhythm and
meaning through abstract word expressions without constraints on expression and
without need for sp... | http://arxiv.org/abs/2306.03646v1 |
The Interplanetary Network (IPN) is a detection, localization and alert
system that utilizes the arrival time of transient signals in gamma-ray
detectors on spacecraft separated by planetary baselines to geometrically
locate the origin of these transients. Due to the changing astrophysical
landscape and the new emphasi... | http://arxiv.org/abs/2308.04485v2 |
Existing datasets for autonomous driving (AD) often lack diversity and
long-range capabilities, focusing instead on 360{\deg} perception and temporal
reasoning. To address this gap, we introduce Zenseact Open Dataset (ZOD), a
large-scale and diverse multimodal dataset collected over two years in various
European countr... | http://arxiv.org/abs/2305.02008v2 |
Semantic image synthesis aims to generate photo realistic images given a
semantic segmentation map. Despite much recent progress, training them still
requires large datasets of images annotated with per-pixel label maps that are
extremely tedious to obtain. To alleviate the high annotation cost, we propose
a transfer m... | http://arxiv.org/abs/2304.02321v1 |
In the study of automata and grammars, closure properties of the associated
languages have been studied extensively. In particular, closure properties of
various types of graph grammars have been examined in (Rozenberg and Welzl,
Inf. and Control,1986) and (Rozenberg and Welzl, Acta Informatica,1986). In
this paper we ... | http://arxiv.org/abs/2308.05943v2 |
We perform an out-of-distribution analysis of ~12,000,000 semi-independent
128x128 pixel^2 SST regions, which we define as cutouts, from all nighttime
granules in the MODIS R2019 Level-2 public dataset to discover the most complex
or extreme phenomena at the ocean surface. Our algorithm (Ulmo) is a
probabilistic autoen... | http://arxiv.org/abs/2305.05767v1 |
Cell decision-making refers to the process by which cells gather information
from their local microenvironment and regulate their internal states to create
appropriate responses. Microenvironmental cell sensing plays a key role in this
process. Our hypothesis is that cell decision-making regulation is dictated by
Bayes... | http://arxiv.org/abs/2301.06941v2 |
We prove an homogenization result, in terms of $\Gamma$-convergence, for
energies concentrated on rectifiable lines in $\R^3$ without boundary. The main
application of our result is in the context of dislocation lines in dimension
$3$. The result presented here shows that the line tension energy of unions of
single lin... | http://arxiv.org/abs/2304.12132v1 |
The effect of viscosity on the behaviour of a non-equilibrium bubble is
investigated experimentally, in two scenarios; firstly, when the bubble is
generated in the bulk of the fluid (termed as ``free-field'' bubble) and
secondly when the bubble is generated near a free-surface (termed as
``free-surface'' bubble). The b... | http://arxiv.org/abs/2306.04129v1 |
Image synthesis has attracted emerging research interests in academic and
industry communities. Deep learning technologies especially the generative
models greatly inspired controllable image synthesis approaches and
applications, which aim to generate particular visual contents with latent
prompts. In order to further... | http://arxiv.org/abs/2307.10275v1 |
The detection of a heavy neutral CP-even Higgs boson of the $B-L$
Supersymmetric Standard Model (BLSSM), $h'$, with $m_{h'}\simeq
400~\text{GeV}$, at the Large Hadron Collider (LHC) for a center-of-mass energy
of $\sqrt{s}=14~\text{TeV}$, is investigated. The following production and
decay channels are considered: $gg\... | http://arxiv.org/abs/2305.11712v2 |
Efficiently predicting properties of porous crystalline materials has great
potential to accelerate the high throughput screening process for developing
new materials, as simulations carried out using first principles model are
often computationally expensive. To effectively make use of Deep Learning
methods to model t... | http://arxiv.org/abs/2304.01628v3 |
Employing the original, all-optical method, we quantify the magnetic
susceptibility of a two-dimensional electron gas (2DEG) confined in the
MoSe$_2$ monolayer in the range of low and moderate carrier densities. The
impact of electron-electron interactions on the 2DEG magnetic susceptibility is
found to be particularly... | http://arxiv.org/abs/2305.01501v3 |
Generating dynamic jumping motions on legged robots remains a challenging
control problem as the full flight phase and large landing impact are expected.
Compared to quadrupedal robots or other multi-legged robots, bipedal robots
place higher requirements for the control strategy given a much smaller
footprint. To solv... | http://arxiv.org/abs/2304.00536v1 |
Accurate estimation of building heights is essential for urban planning,
infrastructure management, and environmental analysis. In this study, we
propose a supervised Multimodal Building Height Regression Network (MBHR-Net)
for estimating building heights at 10m spatial resolution using Sentinel-1 (S1)
and Sentinel-2 (... | http://arxiv.org/abs/2307.01378v1 |
A complete time-parameterized statistical model quantifying the divergent
evolution of protein structures in terms of the patterns of conservation of
their secondary structures is inferred from a large collection of protein 3D
structure alignments. This provides a better alternative to time-parameterized
sequence-based... | http://arxiv.org/abs/2308.06292v1 |
We study the underlying physics of cosmic-ray (CR) driven instabilities that
play a crucial role for CR transport across a wide range of scales, from
interstellar to galaxy cluster environments. By examining the linear dispersion
relation of CR-driven instabilities in a magnetised electron-ion background
plasma, we est... | http://arxiv.org/abs/2305.18050v2 |
We propose and study the properties of a non-linear electrodynamics that
emerges inspired on the physics of Dirac materials. This new electrodynamic
model is an extension of the one-loop corrected non-linear effective Lagrangian
computed in the work of ref. [3]. In the particular regime of a strong magnetic
and a weak ... | http://arxiv.org/abs/2303.03098v2 |
Generative flow networks (GFlowNets) are a family of algorithms that learn a
generative policy to sample discrete objects $x$ with non-negative reward
$R(x)$. Learning objectives guarantee the GFlowNet samples $x$ from the target
distribution $p^*(x) \propto R(x)$ when loss is globally minimized over all
states or traj... | http://arxiv.org/abs/2305.07170v1 |
Multipolar degrees of freedom and their hidden orders have been widely
discussed in the context of heavy fermions, frustrated magnets and exotic Kondo
effects. Although there has been extensive search for multipolar degrees of
freedom in magnetic systems, there are few examples that allow pure multipolar
degrees of fre... | http://arxiv.org/abs/2306.07434v2 |
Current multilingual semantic parsing (MSP) datasets are almost all collected
by translating the utterances in the existing datasets from the resource-rich
language to the target language. However, manual translation is costly. To
reduce the translation effort, this paper proposes the first active learning
procedure fo... | http://arxiv.org/abs/2301.12920v4 |
Low-temperature neutron diffraction experiments at P = 8 GPa have been
conducted to investigate the magnetic structures of metallic Holmium at high
pressures by employing a long d-spacing highflux diffractometer and a
Paris-Edinburgh press cell inside a cryostat. We find that at P = 8 GPa and T =
5 K, no nuclear symmet... | http://arxiv.org/abs/2305.11706v1 |
Recently, diffusion-based generative models have achieved remarkable success
for image generation and edition. However, existing diffusion-based video
editing approaches lack the ability to offer precise control over generated
content that maintains temporal consistency in long-term videos. On the other
hand, atlas-bas... | http://arxiv.org/abs/2306.08707v4 |
Control laws for continuous-time dynamical systems are most often implemented
via digital controllers using a sample-and-hold technique. Numerical
discretization of the continuous system is an integral part of subsequent
analysis. Feedback linearizability of such sampled systems is dependent upon
the choice of discreti... | http://arxiv.org/abs/2305.09149v1 |
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