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Modern 3D-GANs synthesize geometry and texture by training on large-scale
datasets with a consistent structure. Training such models on stylized,
artistic data, with often unknown, highly variable geometry, and camera
information has not yet been shown possible. Can we train a 3D GAN on such
artistic data, while mainta... | http://arxiv.org/abs/2301.02700v2 |
To enhance the computational efficiency of quantized Transformers, we replace
the dot-product and Softmax-based attention with an alternative mechanism
involving addition and ReLU activation only. This side-steps the expansion to
double precision often required by matrix multiplication and avoids costly
Softmax evaluat... | http://arxiv.org/abs/2310.02041v1 |
The present paper deals with the generalized symmetric metric connection
defined on para-Sasaki-like manifolds. We derive a relation between the
Levi-Civita connection and the generalized symmetric metric conneciton on the
considered manifold. We investigate the curvature tensor, the Ricci tensor and
scalar curvature t... | http://arxiv.org/abs/2304.00911v1 |
The jump unravelling of a quantum master equation decomposes the dynamics of
an open quantum system into abrupt jumps, interspersed by periods of coherent
dynamics where no jumps occur. Simulating these jump trajectories is
computationally expensive, as it requires very small time steps to ensure
convergence. This comp... | http://arxiv.org/abs/2303.15405v1 |
Research involving at-risk users -- that is, users who are more likely to
experience a digital attack or to be disproportionately affected when harm from
such an attack occurs -- can pose significant safety challenges to both users
and researchers. Nevertheless, pursuing research in computer security and
privacy is cru... | http://arxiv.org/abs/2309.00735v1 |
We tackle the problem of joint frequency and power allocation while
emphasizing the generalization capability of a deep reinforcement learning
model. Most of the existing methods solve reinforcement learning-based wireless
problems for a specific pre-determined wireless network scenario. The
performance of a trained ag... | http://arxiv.org/abs/2302.02250v2 |
In this article, we study conditions of continuous emergent symmetries in
gapless states, either as topological quantum critical points (TQCPs) or a
stable phase with protecting symmetries and connections to smooth deformations
of the gapped states around. We illustrate that for a wide class of gapless
states that can ... | http://arxiv.org/abs/2310.12252v2 |
We study the boundary stabilization of one-dimensional cross-diffusion
systems in a moving domain. We show first exponential stabilization and then
finite-time stabilization in arbitrary small-time of the linearized system
around uniform equilibria, provided the system has an entropic structure with a
symmetric mobilit... | http://arxiv.org/abs/2307.06830v1 |
We define a normal surface $X$ to be codim-2-saturated if any open embedding
of $X$ into a normal surface with the complement of codimension 2 is an
isomorphism. We show that any normal surface $X$ allows a codim-2-saturated
model $\widehat{X}$ together with the canonical open embedding $X\to
\widehat{X}$.
Any normal... | http://arxiv.org/abs/2302.04635v3 |
Deep generative models dominate the existing literature in layout pattern
generation. However, leaving the guarantee of legality to an inexplicable
neural network could be problematic in several applications. In this paper, we
propose \tool{DiffPattern} to generate reliable layout patterns.
\tool{DiffPattern} introduce... | http://arxiv.org/abs/2303.13060v1 |
Instruction-following agents must ground language into their observation and
action spaces. Learning to ground language is challenging, typically requiring
domain-specific engineering or large quantities of human interaction data. To
address this challenge, we propose using pretrained vision-language models
(VLMs) to s... | http://arxiv.org/abs/2301.12507v2 |
The remarkable capabilities of large-scale language models, such as ChatGPT,
in text generation have impressed readers and spurred researchers to devise
detectors to mitigate potential risks, including misinformation, phishing, and
academic dishonesty. Despite this, most previous studies have been
predominantly geared ... | http://arxiv.org/abs/2307.11380v2 |
This paper proposes a novel approach to controller design for MR-damped
vehicle suspension system. This approach is predicated on the premise that the
optimal control strategy can be learned through real-world or simulated
experiments utilizing a reinforcement learning algorithm with continuous
states/actions. The sens... | http://arxiv.org/abs/2301.02714v2 |
We prove that the size of the largest common subtree between two uniform,
independent, leaf-labelled random binary trees of size $n$ is typically less
than $n^{1/2-\varepsilon}$ for some $\varepsilon>0$. Our proof relies on the
coupling between discrete random trees and the Brownian tree and on a recursive
decompositio... | http://arxiv.org/abs/2304.00905v2 |
Although the number of exoplanets reported in the literature exceeds 5000 so
far, only a few dozen of them are young planets ($\le$900 Myr). However, a
complete characterization of these young planets is key to understanding the
current properties of the entire population. Hence, it is necessary to
constrain the planet... | http://arxiv.org/abs/2303.15411v1 |
Attitude tracking on the unit sphere of dimension $3$ based on sliding mode
is considered in this paper. The tangent bundle of Lagrangian dynamics that
describes the rotational motion of a rigid body is first shown to be a Lie
group, and then a sliding surface that emerged on it is defined. Next, a
sliding-mode control... | http://arxiv.org/abs/2309.00721v1 |
In the context of IoT deployments, a multitude of devices concurrently
require network access to transmit data over a shared communication channel.
Employing symmetric strategies can effectively facilitate the collaborative use
of the communication medium among these devices. By adopting such strategies,
devices collec... | http://arxiv.org/abs/2310.15529v1 |
We revisit the symplectic aspects of the spectral transform for matrix-valued
rational functions with simple poles. We construct eigenvectors of such
matrices in terms of the Szeg\H{o} kernel on the spectral curve. Using
variational formulas for the Szeg\H{o} kernel we construct a new system of
action-angle variables f... | http://arxiv.org/abs/2303.05602v2 |
We present ProsAudit, a benchmark in English to assess structural prosodic
knowledge in self-supervised learning (SSL) speech models. It consists of two
subtasks, their corresponding metrics, and an evaluation dataset. In the
protosyntax task, the model must correctly identify strong versus weak prosodic
boundaries. In... | http://arxiv.org/abs/2302.12057v3 |
To alleviate the bias generated by the l1-norm in the low-rank tensor
completion problem, nonconvex surrogates/regularizers have been suggested to
replace the tensor nuclear norm, although both can achieve sparsity. However,
the thresholding functions of these nonconvex regularizers may not have
closed-form expressions... | http://arxiv.org/abs/2310.06233v1 |
This paper introduces NeuroBlend, a novel neural network architecture
featuring a unique building block known as the Blend module. This module
incorporates binary and fixed-point convolutions in its main and skip paths,
respectively. There is a judicious deployment of batch normalizations on both
main and skip paths in... | http://arxiv.org/abs/2307.03784v2 |
In this paper, we develop a modular neural network for real-time semantic
mapping in uncertain environments, which explicitly updates per-voxel
probabilistic distributions within a neural network layer. Our approach
combines the reliability of classical probabilistic algorithms with the
performance and efficiency of mo... | http://arxiv.org/abs/2310.16020v2 |
The relation modeling between actors and scene context advances video action
detection where the correlation of multiple actors makes their action
recognition challenging. Existing studies model each actor and scene relation
to improve action recognition. However, the scene variations and background
interference limit ... | http://arxiv.org/abs/2303.16118v1 |
International LOFAR stations are powerful radio telescopes, however they are
delivered without the tooling necessary to convert their raw data stream into
standard data formats that can be used by common processing pipelines, or
science-ready data products.
udpPacketManager is a C and C++ library that was developed w... | http://arxiv.org/abs/2309.03228v1 |
Collaborative robots became a popular tool for increasing productivity in
partly automated manufacturing plants. Intuitive robot teaching methods are
required to quickly and flexibly adapt the robot programs to new tasks.
Gestures have an essential role in human communication. However, in
human-robot-interaction scenar... | http://arxiv.org/abs/2301.09899v1 |
We show that taking the width and depth to infinity in a deep neural network
with skip connections, when branches are scaled by $1/\sqrt{depth}$ (the only
nontrivial scaling), result in the same covariance structure no matter how that
limit is taken. This explains why the standard infinite-width-then-depth
approach pro... | http://arxiv.org/abs/2302.00453v2 |
In high-performance RF photonic systems, the Electro-Optic (EO) modulators
play a critical role as a key component, requiring low SWaP-C and high
linearity. While traditional lithium niobate (LiNbO$_3$) Mach-Zehnder
Modulators (MZMs) have been extensively utilized due to their superior
linearity, silicon-based EO modul... | http://arxiv.org/abs/2308.15763v1 |
We consider a service robot in a household environment given a sequence of
high-level tasks one at a time. Most existing task planners, lacking knowledge
of what they may be asked to do next, solve each task in isolation and so may
unwittingly introduce side effects that make subsequent tasks more costly. In
order to r... | http://arxiv.org/abs/2305.04692v1 |
Fusion reactivity represents the integration of fusion cross-sections and the
velocity distributions of two reactants. In this study, we investigate the
upper bound of fusion reactivity for a non-thermal reactant coexisting with a
thermal Maxwellian background reactant while maintaining a constant total
energy. Our opt... | http://arxiv.org/abs/2310.11997v2 |
Graph Neural Networks (GNNs) have achieved notable success in learning from
graph-structured data, owing to their ability to capture intricate dependencies
and relationships between nodes. They excel in various applications, including
semi-supervised node classification, link prediction, and graph generation.
However, ... | http://arxiv.org/abs/2307.12689v2 |
Electricity markets typically operate in two stages, day-ahead and real-time.
Despite best efforts striving efficiency, evidence of price manipulation has
called for system-level market power mitigation (MPM) initiatives that
substitute noncompetitive bids with default bids. Implementing these policies
with a limited u... | http://arxiv.org/abs/2308.05570v1 |
We start with the simplest quantum system (a two-level system, i.e., a qubit)
and discuss a one-to-one mapping of the quantum state in a two-dimensional
Hilbert space to a vector in an eight dimensional probability space
(probability simplex). We then show how the usual transformations of the
quantum state, specificall... | http://arxiv.org/abs/2301.06572v1 |
A discrete time quantum walk is known to be the single-particle sector of a
quantum cellular automaton. Searching in this mathematical framework has
interested the community since a long time. However, most results consider
spatial search on regular graphs. This work introduces a new quantum walk-based
searching scheme... | http://arxiv.org/abs/2310.10451v2 |
Machine-learning techniques are emerging as a valuable tool in experimental
physics, and among them, reinforcement learning offers the potential to control
high-dimensional, multistage processes in the presence of fluctuating
environments. In this experimental work, we apply reinforcement learning to the
preparation of... | http://arxiv.org/abs/2308.05216v2 |
In ferromagnet/superconductor bilayer systems, dipolar fields from the
ferromagnet can create asymmetric energy barriers for the formation and
dynamics of vortices through flux pinning. Conversely, the flux emanating from
vortices can pin the domain walls of the ferromagnet, thereby creating
asymmetric critical current... | http://arxiv.org/abs/2310.10337v1 |
Collaborative Vehicle Routing is where delivery companies cooperate by
sharing their delivery information and performing delivery requests on behalf
of each other. This achieves economies of scale and thus reduces cost,
greenhouse gas emissions, and road congestion. But which company should partner
with whom, and how m... | http://arxiv.org/abs/2310.17458v1 |
There is a high demand for nuclear data in multidisciplinary subject like
nuclear astrophysics. The two areas of nuclear physics which are most clearly
related to one another are stellar evolution and nucleosynthesis. The necessity
for nuclear data for astrophysical applications puts experimental methods as
well as rel... | http://arxiv.org/abs/2308.02579v1 |
Authorship Analysis, also known as stylometry, has been an essential aspect
of Natural Language Processing (NLP) for a long time. Likewise, the recent
advancement of Large Language Models (LLMs) has made authorship analysis
increasingly crucial for distinguishing between human-written and AI-generated
texts. However, t... | http://arxiv.org/abs/2310.16746v1 |
This paper introduces a novel code-to-code search technique that enhances the
performance of Large Language Models (LLMs) by including both static and
dynamic features as well as utilizing both similar and dissimilar examples
during training. We present the first-ever code search method that encodes
dynamic runtime inf... | http://arxiv.org/abs/2305.03843v2 |
With software systems becoming increasingly pervasive and autonomous, our
ability to test for their quality is severely challenged. Many systems are
called to operate in uncertain and highly-changing environment, not rarely
required to make intelligent decisions by themselves. This easily results in an
intractable stat... | http://arxiv.org/abs/2303.01302v1 |
Harmonics are quite common in pulsating stars, and they are always considered
to mimic the behaviors of their independent parent pulsation modes and not
taken as the key information for asteroseismology. Here, we report an SX
Phoenicis star XX Cygni, whose periodogram is dominated by the fundamental
frequency $f_{0} = ... | http://arxiv.org/abs/2302.09477v2 |
Emergent communication studies the development of language between autonomous
agents, aiming to improve understanding of natural language evolution and
increase communication efficiency. While temporal aspects of language have been
considered in computational linguistics, there has been no research on temporal
referenc... | http://arxiv.org/abs/2310.06555v2 |
The DIAmante TESS AutoRegressive Planet Search (DTARPS) project, using novel
statistical methods, has identified several hundred candidates for transiting
planetary systems obtained from 0.9 million Full Frame Image light curves
obtained in the TESS Year 1 southern hemisphere survey (Melton et al. 2024a and
2024b). Sev... | http://arxiv.org/abs/2302.06744v2 |
Counterfactual (CF) explanations, also known as contrastive explanations and
algorithmic recourses, are popular for explaining machine learning models in
high-stakes domains. For a subject that receives a negative model prediction
(e.g., mortgage application denial), the CF explanations are similar instances
but with p... | http://arxiv.org/abs/2303.11111v2 |
In this study, we present a computational framework tailored for the precise
detection and comprehensive analysis of nanoparticles within scanning electron
microscopy (SEM) images. The primary objective of this framework revolves
around the accurate localization of nanoparticle coordinates, accompanied by
secondary obj... | http://arxiv.org/abs/2308.08732v1 |
We propose that the Fermi surface anomaly of symmetry group $G$ in any
dimension is universally classified by $G$-symmetric interacting fermionic
symmetry-protected topological (SPT) phases in $(0+1)$-dimensional spacetime.
The argument is based on the perspective that the gapless fermions on the Fermi
surface can be v... | http://arxiv.org/abs/2302.12731v2 |
Large-scale quantum computation requires a fast assessment of the main
sources of error in the implemented quantum gates. To this aim, we provide a
learning based framework that allows to extract the contribution of each
physical noise source to the infidelity of a series of gates with a small
number of experimental me... | http://arxiv.org/abs/2305.08916v2 |
We study the Feedback Vertex Set and the Vertex Cover problem in a natural
variant of the classical online model that allows for delayed decisions and
reservations. Both problems can be characterized by an obstruction set of
subgraphs that the online graph needs to avoid. In the case of the Vertex Cover
problem, the ob... | http://arxiv.org/abs/2307.07284v1 |
We obtain an inequality for the kissing number in 16 dimensions. We do this
by generalising a sum-product bound of Solymosi and Wong for quaternions to a
semialgebra in dimension 16. In particular, we obtain the inequality
$$k_{16}\geq \frac{\sum_{x \in
\mathcal{R}}\left|\mathcal{S}_{x}\right|}{\left|\bigcup_{x \in \ma... | http://arxiv.org/abs/2303.03515v1 |
The principle of boosting in supervised learning involves combining multiple
weak classifiers to obtain a stronger classifier. AdaBoost has the reputation
to be a perfect example of this approach.
This study analyzes the (two classes) AdaBoost procedure implemented in
scikit-learn.
This paper shows that AdaBoost is... | http://arxiv.org/abs/2308.01070v2 |
Biomedical language understanding benchmarks are the driving forces for
artificial intelligence applications with large language model (LLM) back-ends.
However, most current benchmarks: (a) are limited to English which makes it
challenging to replicate many of the successes in English for other languages,
or (b) focus ... | http://arxiv.org/abs/2310.14151v1 |
Interactions among features are central to understanding the behavior of
machine learning models. Recent research has made significant strides in
detecting and quantifying feature interactions in single predictive models.
However, we argue that the feature interactions extracted from a single
pre-specified model may no... | http://arxiv.org/abs/2305.10181v2 |
In this paper, we study different types of weighted Besov and
Triebel-Lizorkin spaces with variable smoothness. The function spaces can be
defined by means of the Littlewood-Paley theory in the field of Fourier
analysis, while there are other norms arising in the theory of partial
differential equations such as Sobolev... | http://arxiv.org/abs/2309.01359v2 |
As shown by Gertsenshtein in 1961, an external magnetic field can catalyze
the mixing of graviton and photon states in a manner analogous to
neutrino-flavor oscillations. We first present a straightforward derivation of
the mechanism by a method based on unpublished notes of Freeman Dyson. We next
extend his method to ... | http://arxiv.org/abs/2301.02072v3 |
Let $k$ be an algebraically closed field of characteristic $p \geq 0$ and $V$
be a faithful $k$-rational representation of a finite $\ell$-group $G$, where
$\ell$ is a prime number. The Noether problem asks whether $V/G$ is a stably
rational variety. While if $\ell=p$ it is well-known that $V/G$ is always
rational, whe... | http://arxiv.org/abs/2302.04153v1 |
In this work, we propose distributed and networked energy management
scenarios to optimize the production and reservation of energy among a set of
distributed energy nodes. In other words, the idea is to optimally allocate the
generated and reserved powers based on nodes' local cost gradient information
while meeting t... | http://arxiv.org/abs/2308.11263v1 |
The increasing availability of sensing techniques provides a great
opportunity for engineers to design state estimation methods, which are optimal
for the system under observation and the observed noise patterns. However,
these patterns often do not fulfill the assumptions of existing methods. We
provide a direct metho... | http://arxiv.org/abs/2304.09921v2 |
We infer the ultrahigh energy neutrino source by using the Glashow resonance
candidate event recently identified by the IceCube Observatory. For the
calculation of the cross section for the Glashow resonance, we incorporate both
the atomic Doppler broadening effect and initial state radiation
$\overline{\nu}^{}_{e} e^-... | http://arxiv.org/abs/2303.13706v2 |
Electronic Raman scattering in the fully symmetric channel couples to the
charge excitations in the system, including the plasmons. However, the plasmon
response has a spectral weight of $\sim q^2$, where $q$, the momentum
transferred by light, is small. In this work, we show that in inversion
symmetry broken systems w... | http://arxiv.org/abs/2306.11240v2 |
The AdS/CFT correspondence connects bulk fields $\phi$ to boundary operators
$\mathcal{O}$ characterized by source frequency $\omega$ and angular momentum
$l$. Here we explore their connection to massless particles with an impact
parameter $b=\omega/l$. In the AdS Schwarzschild spacetime, these particles
follow unstabl... | http://arxiv.org/abs/2307.06415v2 |
Van-der-Waals (vdW) assembly enables the fabrication of novel Josephson
junctions utilizing an atomically sharp interface between two exfoliated and
relatively twisted $\rm{Bi_2Sr_2CaCu_2O_{8+x}}$ (Bi2212) flakes. In a range of
twist angles around $45^\circ$, the junction provides a regime where the
interlayer two-Coop... | http://arxiv.org/abs/2308.00839v2 |
The origin of fast radio bursts (FRBs), the brightest cosmic explosion in
radio bands, remains unknown. We introduce here a novel method for a
comprehensive analysis of active FRBs' behaviors in the time-energy domain.
Using ``Pincus Index'' and ``Maximum Lyapunov Exponent'', we were able to
quantify the randomness and... | http://arxiv.org/abs/2305.18052v2 |
Over the last decades, deep neural networks based-models became the dominant
paradigm in machine learning. Further, the use of artificial neural networks in
symbolic learning has been seen as increasingly relevant recently. To study the
capabilities of neural networks in the symbolic AI domain, researchers have
explore... | http://arxiv.org/abs/2304.09276v1 |
Critical thinking is essential for rational decision-making and
problem-solving. This skill hinges on the ability to provide precise and
reasoned critiques and is a hallmark of human intelligence. In the era of large
language models (LLMs), this study explores the ability of LLMs to deliver
accurate critiques across va... | http://arxiv.org/abs/2310.04815v1 |
growclusters for R is a package that estimates a partition structure for
multivariate data. It does this by implementing a hierarchical version of
k-means clustering that accounts for possible known dependencies in a
collection of datasets, where each set draws its cluster means from a single,
global partition. Each co... | http://arxiv.org/abs/2304.06145v2 |
Increasing attention has been paid to resources on islands, thus microgrids
on islands need to be invested. Different from onshore microgrids, offshore
microgrids (OM) are usually abundant in ocean renewable energy (ORE), such as
offshore wind, tidal power generation (TPG), etc. Moreover, some special loads
such as sea... | http://arxiv.org/abs/2308.05941v1 |
This paper which is part of a series, is devoted to several technical issues.
In the first part of the paper, we discuss the usual wavefunctions in the CM
frame for baryons, by clarifying the representations of the three-quark
permutation group $S_3$. We extend the analysis for up to five ``spinors" with
$\rho,\lambda$... | http://arxiv.org/abs/2308.14694v1 |
We study the minimal genus problem for some smooth four-manifolds. | http://arxiv.org/abs/2307.04202v1 |
Maximum entropy methods provide a principled path connecting measurements of
neural activity directly to statistical physics models, and this approach has
been successful for populations of $N\sim 100$ neurons. As $N$ increases in new
experiments, we enter an undersampled regime where we have to choose which
observable... | http://arxiv.org/abs/2310.10860v1 |
It is controversial whether entanglement islands can exist in massless
gravity theories. Recently, it is found that the massless entanglement island
appears in wedge holography with DGP gravity on the branes. In this paper, we
generalize the discussions to the codim-n holography named cone holography. For
simplicity, w... | http://arxiv.org/abs/2303.10958v2 |
Retinal fundus images have been applied for the diagnosis and screening of
eye diseases, such as Diabetic Retinopathy (DR) or Diabetic Macular Edema
(DME). However, both low-quality fundus images and style inconsistency
potentially increase uncertainty in the diagnosis of fundus disease and even
lead to misdiagnosis by... | http://arxiv.org/abs/2301.06943v1 |
In this paper we characterize hyperbolic cosine transforms of (positive)
Borel measures $\nu$ in terms of exponential convexity (Bernstein's
terminology). The case of compactly supported measures $\nu$ is also
considered. All of this is then applied to (bounded) composition operators
$C_{T,\rho}\colon f \mapsto f \circ... | http://arxiv.org/abs/2306.14338v1 |
Clustering high-dimensional spatiotemporal data using an unsupervised
approach is a challenging problem for many data-driven applications. Existing
state-of-the-art methods for unsupervised clustering use different similarity
and distance functions but focus on either spatial or temporal features of the
data. Concentra... | http://arxiv.org/abs/2304.14541v2 |
Discriminative models for object classification typically learn image-based
representations that do not capture the compositional and 3D nature of objects.
In this work, we show that explicitly integrating 3D compositional object
representations into deep networks for image classification leads to a largely
enhanced ge... | http://arxiv.org/abs/2305.14668v4 |
Deep learning methods have gained considerable interest in the numerical
solution of various partial differential equations (PDEs). One particular focus
is physics-informed neural networks (PINN), which integrate physical principles
into neural networks. This transforms the process of solving PDEs into
optimization pro... | http://arxiv.org/abs/2306.12749v2 |
We study the problem of generating control laws for systems with unknown
dynamics. Our approach is to represent the controller and the value function
with neural networks, and to train them using loss functions adapted from the
Hamilton-Jacobi-Bellman (HJB) equations. In the absence of a known dynamics
model, our metho... | http://arxiv.org/abs/2302.09846v1 |
In this paper, we comprehensively investigate the potential misuse of modern
Large Language Models (LLMs) for generating credible-sounding misinformation
and its subsequent impact on information-intensive applications, particularly
Open-Domain Question Answering (ODQA) systems. We establish a threat model and
simulate ... | http://arxiv.org/abs/2305.13661v2 |
The curse-of-dimensionality taxes computational resources heavily with
exponentially increasing computational cost as the dimension increases. This
poses great challenges in solving high-dimensional PDEs, as Richard E. Bellman
first pointed out over 60 years ago. While there has been some recent success
in solving nume... | http://arxiv.org/abs/2307.12306v6 |
Learning from set-structured data, such as point clouds, has gained
significant attention from the machine learning community. Geometric deep
learning provides a blueprint for designing effective set neural networks that
preserve the permutation symmetry of set-structured data. Of our interest are
permutation invariant... | http://arxiv.org/abs/2306.05553v2 |
We present a data-driven method to learn stochastic reduced models of complex
systems that retain a state-dependent memory beyond the standard generalized
Langevin equation (GLE) with a homogeneous kernel. The constructed model
naturally encodes the heterogeneous energy dissipation by jointly learning a
set of state fe... | http://arxiv.org/abs/2310.18582v1 |
This paper explores a possible linkage between solar motion about the solar
system center of mass and the quasi-periodicity evident in the pressure and
temperature of planet atmospheres. We establish that dominant mid frequency
range periodicity in planet atmospheres corresponds closely to the harmonic
series 39.5/n = ... | http://arxiv.org/abs/2308.12583v1 |
ESA's Hera mission aims to visit binary asteroid Didymos in late 2026,
investigating its physical characteristics and the result of NASA's impact by
the DART spacecraft in more detail. Two CubeSats on-board Hera plan to perform
a ballistic landing on the secondary of the system, called Dimorphos. For these
types of lan... | http://arxiv.org/abs/2310.19844v1 |
Unmanned Aerial Vehicles (UAVs) are a rapidly emerging technology offering
fast and cost-effective solutions for many areas, including public safety,
surveillance, and wireless networks. However, due to the highly dynamic network
topology of UAVs, traditional mesh networking protocols, such as the Better
Approach to Mo... | http://arxiv.org/abs/2303.08871v1 |
We present EasyGen, an efficient model designed to enhance multimodal
understanding and generation by harnessing the capabilities of diffusion models
and large language models (LLMs), Unlike existing multimodal models that
predominately depend on encoders like CLIP or ImageBind and need ample amounts
of training data t... | http://arxiv.org/abs/2310.08949v3 |
We present a new data analysis perspective to determine variable importance
regardless of the underlying learning task. Traditionally, variable selection
is considered an important step in supervised learning for both classification
and regression problems. The variable selection also becomes critical when
costs associ... | http://arxiv.org/abs/2304.03983v1 |
Relation extraction (RE) is the core NLP task of inferring semantic
relationships between entities from text. Standard supervised RE techniques
entail training modules to tag tokens comprising entity spans and then predict
the relationship between them. Recent work has instead treated the problem as a
\emph{sequence-to... | http://arxiv.org/abs/2305.05003v2 |
This paper presents a study on the feasibility of using large language models
(LLM) for coding with low-resource and domain-specific programming languages
that typically lack the amount of data required for effective LLM processing
techniques. This study focuses on the econometric scripting language named
hansl of the ... | http://arxiv.org/abs/2307.13018v1 |
End-to-end encryption is a powerful tool for protecting the privacy of
Internet users. Together with the increasing use of technologies such as Tor,
VPNs, and encrypted messaging, it is becoming increasingly difficult for
network adversaries to monitor and censor Internet traffic. One remaining
avenue for adversaries i... | http://arxiv.org/abs/2304.09510v2 |
Multimodal sensor fusion methods for 3D object detection have been
revolutionizing the autonomous driving research field. Nevertheless, most of
these methods heavily rely on dense LiDAR data and accurately calibrated
sensors which is often not the case in real-world scenarios. Data from LiDAR
and cameras often come mis... | http://arxiv.org/abs/2306.07344v1 |
We relate the generating functions of the dimensions of the Hochschild
cohomology in any fixed degree of the symmetric groups with those of blocks of
the symmetric groups. We show that the first Hochschild cohomology of a
positive defect block of a symmetric group is non-zero, answering in the
affirmative a question of... | http://arxiv.org/abs/2301.03185v1 |
This article investigates the emergence of phase synchronization in a network
of randomly connected neurons by chemical synapses. The study uses the classic
Hodgkin-Huxley model to simulate the neuronal dynamics under the action of a
train of Poissonian spikes. In such a scenario, we observed the emergence of
irregular... | http://arxiv.org/abs/2306.08077v1 |
Answering questions related to the legal domain is a complex task, primarily
due to the intricate nature and diverse range of legal document systems.
Providing an accurate answer to a legal query typically necessitates
specialized knowledge in the relevant domain, which makes this task all the
more challenging, even fo... | http://arxiv.org/abs/2304.06623v3 |
We present a representation for permutation groups as the automorphism group
of an ordered set $U$ such that the automorphism group's action on a subset
$T\subseteq U$ is the permutation group itself. For many imprimitive
permutation groups, the representation uses fewer points than the smallest
representations to date... | http://arxiv.org/abs/2308.10394v3 |
The Robot Operating System (ROS2) is the most widely used software platform
for building robotics applications. FogROS2 extends ROS2 to allow robots to
access cloud computing on demand. However, ROS2 and FogROS2 assume that all
robots are locally connected and that each robot has full access and control of
the other ro... | http://arxiv.org/abs/2306.17157v1 |
Long lifetimes of spatially indirect excitons (IXs), also known as interlayer
excitons, allow implementing both quantum exciton systems and long-range
exciton transport. Van der Waals heterostructures (HS) composed of atomically
thin layers of transition-metal dichalcogenides (TMD) offer the opportunity to
explore IXs ... | http://arxiv.org/abs/2307.00702v1 |
We investigate the absorption properties of reflection-asymmetric wormholes
constructed via the thin-shell formalism in Palatini $f({\cal R})$ gravity.
Such wormholes come from the matching of two Reissner-Nordstr\"om spacetimes at
a time-like hypersurface (shell), which, according to the junction conditions
in Palatin... | http://arxiv.org/abs/2303.03924v2 |
This article presents an application of the recently proposed logic operation
of power based on power packetization. In a power packet dispatching system,
the power supply can be considered as a sequence of power pulses, where the
occurrence of pulses follows a probability that corresponds to the capacity of
the power ... | http://arxiv.org/abs/2305.01265v1 |
2D forward-looking sonar is a crucial sensor for underwater robotic
perception. A well-known problem in this field is estimating missing
information in the elevation direction during sonar imaging. There are demands
to estimate 3D information per image for 3D mapping and robot navigation during
fly-through missions. Re... | http://arxiv.org/abs/2307.16160v2 |
Deep generative models such as Variational Autoencoders (VAEs), Generative
Adversarial Networks (GANs), Diffusion Models, and Transformers, have shown
great promise in a variety of applications, including image and speech
synthesis, natural language processing, and drug discovery. However, when
applied to engineering d... | http://arxiv.org/abs/2302.02913v4 |
The effectiveness of Constrained Multi-Objective Evolutionary Algorithms
(CMOEAs) depends on their ability to reach the different feasible regions
during evolution, by exploiting the information present in infeasible
solutions, in addition to optimizing the several conflicting objectives. Over
the years, researchers ha... | http://arxiv.org/abs/2305.18734v1 |
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