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Control Barrier Functions and Quadratic Programming are increasingly used for
designing controllers that consider critical safety constraints. However, like
Artificial Potential Fields, they can suffer from the stable spurious
equilibrium point problem, which can result in the controller failing to reach
the goal. To a... | http://arxiv.org/abs/2307.09901v1 |
Secular gravitational instability (GI) is one promising mechanism for
explaining planetesimal formation. The previous studies on secular GI utilized
a razor-thin disk model and derived the growth condition in terms of the
vertically integrated physical values such as dust-to-gas surface density
ratio. However, in weakl... | http://arxiv.org/abs/2303.15607v2 |
We delve into the statistical properties of regions within complex networks
that are distant from vertices with high centralities, such as hubs or highly
connected clusters. These remote regions play a pivotal role in shaping the
asymptotic behaviours of various spreading processes and the features of
associated spectr... | http://arxiv.org/abs/2309.00537v2 |
We study the problem of learning a local quantum Hamiltonian $H$ given copies
of its Gibbs state $\rho = e^{-\beta H}/\textrm{tr}(e^{-\beta H})$ at a known
inverse temperature $\beta>0$. Anshu, Arunachalam, Kuwahara, and Soleimanifar
(arXiv:2004.07266) gave an algorithm to learn a Hamiltonian on $n$ qubits to
precision... | http://arxiv.org/abs/2310.02243v1 |
Integrating measurements and historical data can enhance control systems
through learning-based techniques, but ensuring performance and safety is
challenging. Robust model predictive control strategies, like stochastic model
predictive control, can address this by accounting for uncertainty. Gaussian
processes are oft... | http://arxiv.org/abs/2303.14519v1 |
We refer to an individual holding a non-negligible fraction of the country's
total wealth as an oligarch. We explain how a model due to Boghosian et al. can
be used to explore the effects of taxation on the emergence of oligarchs. The
model suggests that oligarchs will emerge when wealth taxation is below a
certain thr... | http://arxiv.org/abs/2308.01500v1 |
Releasing court decisions to the public relies on proper anonymization to
protect all involved parties, where necessary. The Swiss Federal Supreme Court
relies on an existing system that combines different traditional computational
methods with human experts. In this work, we enhance the existing anonymization
software... | http://arxiv.org/abs/2310.04632v2 |
This research paper presents a part-of-speech (POS) annotated dataset and
tagger tool for the low-resource Uzbek language. The dataset includes 12 tags,
which were used to develop a rule-based POS-tagger tool. The corpus text used
in the annotation process was made sure to be balanced over 20 different fields
in order ... | http://arxiv.org/abs/2301.12711v2 |
We present a new 3D resolved model for the initial state of ultrarelativistic
heavy-ion collisions, based on the $k_\perp$-factorized Color Glass Condensate
hybrid approach. The McDIPPER framework responds to the need for a
rapidity-resolved initial-state Monte Carlo event generator which can deposit
the relevant conse... | http://arxiv.org/abs/2308.11713v1 |
We study an inverse problem for a coupled system of semilinear Helmholtz
equations where we are interested in reconstructing multiple coefficients in
the system from internal data measured in applications such as thermoacoustic
imaging. We derive results on the uniqueness and stability of the inverse
problem in the cas... | http://arxiv.org/abs/2307.01385v1 |
In this paper we propose two new subclasses of Petri nets with resets, for
which the reachability and coverability problems become tractable. Namely, we
add an acyclicity condition that only applies to the consumptions and
productions, not the resets. The first class is acyclic Petri nets with resets,
and we show that ... | http://arxiv.org/abs/2310.01992v2 |
Geometrical optics provides an instructive insight into Brownian motion,
``pushed" into a large-deviations regime by imposed constraints. Here we extend
geometrical optics of Brownian motion by accounting for diffusion inhomogeneity
in space. We consider three simple model problems of Brownian motion on the
line or in ... | http://arxiv.org/abs/2305.05942v3 |
Polyelectrolyte complexation plays an important role in materials science and
biology. The internal structure of the resultant polyelectrolyte complex (PEC)
phase dictates properties such as physical state, response to external stimuli,
and dynamics. Small-angle scattering experiments with X-rays and neutrons have
reve... | http://arxiv.org/abs/2305.14697v1 |
BERT-based models have had strong performance on leaderboards, yet have been
demonstrably worse in real-world settings requiring generalization. Limited
quantities of training data is considered a key impediment to achieving
generalizability in machine learning. In this paper, we examine the impact of
training data qua... | http://arxiv.org/abs/2310.08008v4 |
A fundamental issue in machine learning is the robustness of the model with
respect to changes in the input. In natural language processing, models
typically contain a first embedding layer, transforming a sequence of tokens
into vector representations. While the robustness with respect to changes of
continuous inputs ... | http://arxiv.org/abs/2303.07203v2 |
We determine the coefficient of proportionality between two multidimensional
hypergeometric integrals. One of them is a solution of the dynamical difference
equations associated with a Young diagram and the other is the vertex integral
associated with the Young diagram. The coefficient of proportionality is the
inverse... | http://arxiv.org/abs/2308.05766v1 |
The Cassiopeia A supernova remnant has a complex structure, manifesting the
multidimensional nature of core-collapse supernova explosions. To further
understand this, we carried out near-infrared multi-object spectroscopy on the
ejecta knots located in the "northeastern (NE) jet" and the "Fe K plume"
regions, which are... | http://arxiv.org/abs/2305.04484v1 |
We study the electromagnetic radiation by a fermion carrying an electric
charge $q$ embedded in a medium rotating with constant angular velocity
$\bf\Omega$ parallel or anti-parallel to an external constant magnetic field
$\bf B$. We assume that the rotation is "relatively slow"; namely, that the
angular velocity $\Ome... | http://arxiv.org/abs/2306.03863v3 |
Dark matter sub-halos that pass near or through a thin tidal star stream
locally increase its velocity dispersion. Subsequent orbital evolution further
increases the velocity dispersion and stream width, lowering the surface
density of a stream. The kinematic properties of streams are measured in
cosmological Milky Way... | http://arxiv.org/abs/2301.08991v3 |
The partition perimeter is a statistic defined to be one less than the sum of
the number of parts and the largest part. Recently, Amdeberhan, Andrews, and
Ballantine proved the following analog of Glaisher's theorem: for all $m \geq
2$ and $n \geq 1$, there are at least as many partitions with perimeter $n$ and
parts $... | http://arxiv.org/abs/2302.00645v2 |
Semi-supervised Learning (SSL) has been proven vulnerable to
out-of-distribution (OOD) samples in realistic large-scale unsupervised
datasets due to over-confident pseudo-labeling OODs as in-distribution (ID). A
key underlying problem is class-wise latent space spreading from closed seen
space to open unseen space, and... | http://arxiv.org/abs/2308.15575v1 |
Promptable foundation models, particularly Segment Anything Model (SAM), have
emerged as a promising alternative to the traditional task-specific supervised
learning for image segmentation. However, many evaluation studies have found
that their performance on medical imaging modalities to be underwhelming
compared to c... | http://arxiv.org/abs/2310.17128v1 |
Advancements in simulation and formal methods-guided environment sampling
have enabled the rigorous evaluation of machine learning models in a number of
safety-critical scenarios, such as autonomous driving. Application of these
environment sampling techniques towards improving the learned models themselves
has yet to ... | http://arxiv.org/abs/2303.17010v1 |
In this paper, we propose an exact general algorithm for solving non-convex
optimization problems, where the non-convexity arises due to the presence of an
inverse S-shaped function. The proposed method involves iteratively
approximating the inverse S-shaped function through piece-wise linear inner and
outer approximat... | http://arxiv.org/abs/2307.13781v1 |
We model and experimentally demonstrate the full time-dependent counting
statistics of photons emitted by a single nitrogen-vacancy (NV) center in
diamond under non-resonant laser excitation and resonant microwave control. A
generalization of the quantum jump formalism for the seven electronic states
involved in the fa... | http://arxiv.org/abs/2307.02854v1 |
Machine learning has achieved remarkable success over the past couple of
decades, often attributed to a combination of algorithmic innovations and the
availability of high-quality data available at scale. However, a third critical
component is the fine-tuning of hyperparameters, which plays a pivotal role in
achieving ... | http://arxiv.org/abs/2308.03317v1 |
We consider the problem of complex root classification, i.e., finding the
conditions on the coefficients of a univariate polynomial for all possible
multiplicity structures on its complex roots. It is well known that such
conditions can be written as conjunctions of several polynomial equations and
one inequation in th... | http://arxiv.org/abs/2301.00315v3 |
Survival analysis plays a crucial role in many healthcare decisions, where
the risk prediction for the events of interest can support an informative
outlook for a patient's medical journey. Given the existence of data censoring,
an effective way of survival analysis is to enforce the pairwise temporal
concordance betwe... | http://arxiv.org/abs/2308.13104v2 |
There exist extensive studies on periodic and random perturbations of various
continuous maps investigating their dynamics. This paper presents a random
piecewise smooth map derived from a simple inductor-less switching circuit. The
bifurcation parameter is bounded and randomly selected from a stationary
distribution. ... | http://arxiv.org/abs/2310.09316v1 |
We present a data-driven generative framework for synthesizing blood vessel
3D geometry. This is a challenging task due to the complexity of vascular
systems, which are highly variating in shape, size, and structure. Existing
model-based methods provide some degree of control and variation in the
structures produced, b... | http://arxiv.org/abs/2307.03592v1 |
We report a comprehensive study of the cyanopolyyne chemistry in the
prototypical prestellar core L1544. Using the 100m Robert C. Byrd Green Bank
Telescope (GBT) we observe 3 emission lines of HC$_3$N, 9 lines of HC$_5$N, 5
lines of HC$_7$N, and 9 lines of HC$_9$N. HC$_9$N is detected for the first
time towards the sou... | http://arxiv.org/abs/2301.10106v2 |
Federated Learning (FL) plays a critical role in distributed systems. In
these systems, data privacy and confidentiality hold paramount importance,
particularly within edge-based data processing systems such as IoT devices
deployed in smart homes. FL emerges as a privacy-enforcing sub-domain of
machine learning that en... | http://arxiv.org/abs/2308.13662v2 |
Continuous exploration without interruption is important in scenarios such as
search and rescue and precision agriculture, where consistent presence is
needed to detect events over large areas. Ergodic search already derives
continuous trajectories in these scenarios so that a robot spends more time in
areas with high ... | http://arxiv.org/abs/2310.09470v2 |
Autonomous systems in the road transportation network require intelligent
mechanisms that cope with uncertainty to foresee the future. In this paper, we
propose a multi-stage probabilistic approach for trajectory forecasting:
trajectory transformation to displacement space, clustering of displacement
time series, traje... | http://arxiv.org/abs/2307.14788v1 |
Learning representations of geographical space is vital for any machine
learning model that integrates geolocated data, spanning application domains
such as remote sensing, ecology, or epidemiology. Recent work embeds
coordinates using sine and cosine projections based on Double Fourier Sphere
(DFS) features. These emb... | http://arxiv.org/abs/2310.06743v2 |
Emerson-Lei conditions have recently attracted attention due to their
succinctness and compositionality properties. In the current work, we show how
infinite-duration games with Emerson-Lei objectives can be analyzed in two
different ways. First, we show that the Zielonka tree of the Emerson-Lei
condition gives rise na... | http://arxiv.org/abs/2305.02793v2 |
In this paper we study the fine-grained complexity of the CFL reachability
problem. We first present one of the existing algorithms for the problem and an
overview of conditional lower bounds based on widely believed hypotheses. We
then use the existing reduction techniques to obtain new conditional lower
bounds on CFL... | http://arxiv.org/abs/2306.15967v1 |
We study the asymptotic bipartite entanglement entropy of the quantum
trajectories of a free-fermionic system, when subject to a continuous nonlocal
monitoring. The measurements are described by Gaussian-preserving two-point
operators, whose strength decays as a power-law with exponent $\alpha$.
Different behaviors of ... | http://arxiv.org/abs/2307.05685v2 |
The accurate detection of sperms and impurities is a very challenging task,
facing problems such as the small size of targets, indefinite target
morphologies, low contrast and resolution of the video, and similarity of
sperms and impurities. So far, the detection of sperms and impurities still
largely relies on the tra... | http://arxiv.org/abs/2301.06002v1 |
We show that the problem of deciding for a given finite relation algebra A
whether the network satisfaction problem for A can be solved by the
k-consistency procedure, for some natural number k, is undecidable. For the
important class of finite relation algebras A with a normal representation,
however, the decidability... | http://arxiv.org/abs/2304.12871v1 |
We prove fundamental rigorous bounds on the speed of quantum evolution for a
quantum system coupled to a thermal bath. The bounds are formulated in terms of
expectation values of few-body observables derived from the system-bath
Hamiltonian. They do not rely on the Markov approximation and, as a
consequence, are applic... | http://arxiv.org/abs/2302.13639v2 |
It is a conundrum that agile projects can succeed 'without requirements' when
weak requirements engineering is a known cause for project failures. While
Agile development projects often manage well without extensive requirements
documentation, test cases are commonly used as requirements. We have
investigated this agil... | http://arxiv.org/abs/2308.06509v1 |
In this paper we study some subgroups and their decompositions in semi-direct
product of the twisted virtual braid group $TVB_n$. In particular, the twisted
virtual pure braid group $TVP_n$ is the kernel of an epimorphism of $TVB_n$
onto the symmetric group $S_n$. We find the set of generators and defining
relations fo... | http://arxiv.org/abs/2310.04154v1 |
This paper introduces the Masked Voxel Jigsaw and Reconstruction (MV-JAR)
method for LiDAR-based self-supervised pre-training and a carefully designed
data-efficient 3D object detection benchmark on the Waymo dataset. Inspired by
the scene-voxel-point hierarchy in downstream 3D object detectors, we design
masking and r... | http://arxiv.org/abs/2303.13510v1 |
In topology optimization of fluid-dependent problems, there is a need to
interpolate within the design domain between fluid and solid in a continuous
fashion. In density-based methods, the concept of inverse permeability in the
form of a volumetric force is utilized to enforce zero fluid velocity in
non-fluid regions. ... | http://arxiv.org/abs/2302.14156v1 |
Among the list of one dimensional solvable Hamiltonians, we find the
Hamiltonian with the Rosen--Morse II potential. The first objective is to
analyze the scattering matrix corresponding to this potential. We show that it
includes a series of poles corresponding to the types of redundant poles or
anti-bound poles. In s... | http://arxiv.org/abs/2306.01912v2 |
Turbine-wake and farm-atmosphere interactions influence wind farm power
production. For large offshore farms, the farm-atmosphere interaction is
usually the more significant effect. This study proposes an analytical model of
the `momentum availability factor' to predict the impact of farm-atmosphere
interactions. It mo... | http://arxiv.org/abs/2306.08088v2 |
Typical generative diffusion models rely on a Gaussian diffusion process for
training the backward transformations, which can then be used to generate
samples from Gaussian noise. However, real world data often takes place in
discrete-state spaces, including many scientific applications. Here, we develop
a theoretical ... | http://arxiv.org/abs/2305.11089v1 |
We present a conceptually simple, efficient, and general framework for
localization problems in DETR-like models. We add plugins to well-trained
models instead of inefficiently designing new models and training them from
scratch. The method, called RefineBox, refines the outputs of DETR-like
detectors by lightweight re... | http://arxiv.org/abs/2307.11828v1 |
We present a novel face swapping method using the progressively growing
structure of a pre-trained StyleGAN. Previous methods use different encoder
decoder structures, embedding integration networks to produce high-quality
results, but their quality suffers from entangled representation. We
disentangle semantics by der... | http://arxiv.org/abs/2310.12736v1 |
Ordered distributive double phosphorylation is a recurrent motif in
intracellular signaling and control. It is either sequential (where the site
phosphorylated last is dephosphorylated first) or cyclic (where the site
phosphorylated first is dephosphorylated first). Sequential distributive double
phosphorylation has be... | http://arxiv.org/abs/2308.08524v2 |
This paper provides an algebraic reconstruction of Einstein's own argument
for the incompleteness of quantum mechanics -- the one that he thought did not
make it into the EPR paper -- in order to clarify the assumptions that underlie
an understanding of Einstein completeness as categoricity, the sense in which
it is a ... | http://arxiv.org/abs/2304.08829v1 |
Neural Combinatorial Optimization has been researched actively in the last
eight years. Even though many of the proposed Machine Learning based approaches
are compared on the same datasets, the evaluation protocol exhibits essential
flaws and the selection of baselines often neglects State-of-the-Art Operations
Researc... | http://arxiv.org/abs/2310.04140v1 |
We propose a novel, physically-constrained and differentiable approach for
the generation of D-dimensional qudit states via spontaneous parametric
down-conversion (SPDC) in quantum optics. We circumvent any limitations imposed
by the inherently stochastic nature of the physical process and incorporate a
set of stochast... | http://arxiv.org/abs/2304.06810v1 |
Deep learning (DL) has attracted wide attention and has been widely deployed
in recent years. As a result, more and more research efforts have been
dedicated to testing DL libraries and frameworks. However, existing work
largely overlooked one crucial component of any DL system, automatic
differentiation (AD), which is... | http://arxiv.org/abs/2302.04351v1 |
Understanding how the dynamics in biological and artificial neural networks
implement the computations required for a task is a salient open question in
machine learning and neuroscience. In particular, computations requiring
complex memory storage and retrieval pose a significant challenge for these
networks to implem... | http://arxiv.org/abs/2307.06398v1 |
Legged robots operating in real-world environments must possess the ability
to rapidly adapt to unexpected conditions, such as changing terrains and
varying payloads. This paper introduces the Synaptic Motor Adaptation (SMA)
algorithm, a novel approach to achieving real-time online adaptation in
quadruped robots throug... | http://arxiv.org/abs/2306.01906v1 |
Vision-Language models like CLIP have been widely adopted for various tasks
due to their impressive zero-shot capabilities. However, CLIP is not suitable
for extracting 3D geometric features as it was trained on only images and text
by natural language supervision. We work on addressing this limitation and
propose a ne... | http://arxiv.org/abs/2303.11313v3 |
The velocity autocorrelation function (VACF) encapsulates extensive
information about a fluid's molecular-structural and hydrodynamic properties.
We address the following fundamental question: How well can a purely
hydrodynamic description recover the molecular features of a fluid as exhibited
by the VACF? To this end,... | http://arxiv.org/abs/2302.06546v4 |
In this article we review small-scale dynamo processes that are responsible
for magnetic field generation on scales comparable to and smaller than the
energy carrying scales of turbulence. We provide a review of critical
observation of quiet Sun magnetism, which have provided strong support for the
operation of a small... | http://arxiv.org/abs/2305.02787v1 |
The purpose of this work is to use active particles to study the effect of
facilitation on supercooled liquids. To this end we investigate the behavior of
a model supercooled liquid doped with intermittently active and intermittently
slowed particles. To simulate a facilitation mechanism, the active particles
are submi... | http://arxiv.org/abs/2302.09675v1 |
Electroencephalogram (EEG) provides noninvasive measures of brain activity
and is found to be valuable for diagnosis of some chronic disorders.
Specifically, pre-treatment EEG signals in alpha and theta frequency bands have
demonstrated some association with anti-depressant response, which is
well-known to have low res... | http://arxiv.org/abs/2305.13852v1 |
Amid the increasing interest in the deployment of Distributed Energy
Resources (DERs), the Virtual Power Plant (VPP) has emerged as a pivotal tool
for aggregating diverse DERs and facilitating their participation in wholesale
energy markets. These VPP deployments have been fueled by the Federal Energy
Regulatory Commis... | http://arxiv.org/abs/2310.17882v2 |
The interaction of supercritical turbulent flows with granular sediment beds
is challenging to study both experimentally and numerically; this challenging
task has hampered the advances in understanding antidunes, the most
characteristic bedform of supercritical flows. This article presents the first
numerical attempt ... | http://arxiv.org/abs/2301.10674v2 |
We report spectroscopic and photometric follow-up of a dormant black hole
(BH) candidate from Gaia DR3. The system, which we call Gaia BH2, contains a
$\sim 1M_{\odot}$ red giant and a dark companion with mass $M_2 = 8.9\pm
0.3\,M_{\odot}$ that is very likely a BH. The orbital period, $P_{\rm orb} =
1277$ days, is much... | http://arxiv.org/abs/2302.07880v2 |
Human commonsense understanding of the physical and social world is organized
around intuitive theories. These theories support making causal and moral
judgments. When something bad happens, we naturally ask: who did what, and why?
A rich literature in cognitive science has studied people's causal and moral
intuitions.... | http://arxiv.org/abs/2310.19677v2 |
Semi-Supervised Learning (SSL) is a framework that utilizes both labeled and
unlabeled data to enhance model performance. Conventional SSL methods operate
under the assumption that labeled and unlabeled data share the same label
space. However, in practical real-world scenarios, especially when the labeled
training dat... | http://arxiv.org/abs/2308.14119v2 |
Dialogue systems have received increasing attention while automatically
evaluating their performance remains challenging. User satisfaction estimation
(USE) has been proposed as an alternative. It assumes that the performance of a
dialogue system can be measured by user satisfaction and uses an estimator to
simulate us... | http://arxiv.org/abs/2305.12594v1 |
By utilizing the field equations of the modified teleparallel equivalent of
general relativity, denoted as $\mathit{f(T)}$, we obtain an exact solution for
a static charged black hole in n-dimensions, without imposing any constraints.
The black hole possesses two distinctive dimensional constants: $m$ and $v$
with unit... | http://arxiv.org/abs/2309.02452v1 |
New particles with large masses that decay into hadronically interacting
particles are predicted by many models of physics beyond the Standard Model. A
search for a massive resonance that decays into pairs of dijet resonances is
performed using 140 fb$^{-1}$ of proton$-$proton collisions at $\sqrt{s}=13$
TeV recorded b... | http://arxiv.org/abs/2307.14944v2 |
Drawing on ergodic theory, we introduce a novel training method for machine
learning based forecasting methods for chaotic dynamical systems. The training
enforces dynamical invariants--such as the Lyapunov exponent spectrum and
fractal dimension--in the systems of interest, enabling longer and more stable
forecasts wh... | http://arxiv.org/abs/2304.12865v1 |
Monitoring the quality of statistical processes has been of great importance,
mostly in industrial applications. Control charts are widely used for this
purpose, but often lack the possibility to monitor survival outcomes. Recently,
inspecting survival outcomes has become of interest, especially in medical
settings whe... | http://arxiv.org/abs/2302.07658v2 |
Magnetic reconnection and plasma turbulence are ubiquitous processes
important for laboratory, space and astrophysical plasmas. Reconnection has
been suggested to play an important role in the energetics and dynamics of
turbulence by observations, simulations and theory for two decades. The
fundamental properties of re... | http://arxiv.org/abs/2303.08642v2 |
Emissions of particulate matter into the atmosphere are essential to
characterize, in terms of properties such as particle size, morphology, and
composition, to better understand impacts on public health and the climate.
However, there is no currently available technology capable of measuring
individual particles with ... | http://arxiv.org/abs/2301.06016v1 |
The method of characteristics is a classical method for gaining understanding
in the solution of a partial differential equation. It has recently been
applied to the adjoint equations of the 2D Euler equations and the first goal
of this paper is to present a linear algebra analysis that greatly simplifies
the discussio... | http://arxiv.org/abs/2305.03499v1 |
A probabilistic machine learning model is introduced to augment the
$k-\omega\ SST$ turbulence model in order to improve the modelling of separated
flows and the generalisability of learnt corrections. Increasingly, machine
learning methods have been used to leverage experimental and high-fidelity
data, improving the a... | http://arxiv.org/abs/2301.09443v1 |
Polar lattice gases are usually assumed to have an inter-site interaction
that decays with the inter-particle distance $r$ as $1/r^3$. However, a
loose-enough transversal confinement may strongly modify the dipolar decay in
one-dimensional lattices. We show that this modification alters significantly
the ground-state p... | http://arxiv.org/abs/2303.07217v2 |
In this paper, we investigate the relationship between Temperley-Lieb
immanants, which were introduced by Rhoades and Skandera, and %-immanants, an
immanant based on a concept introduced by Chepuri and Sherman-Bennett. Our main
result is a classification of when a Temperley-Lieb immanant can be written as
a linear comb... | http://arxiv.org/abs/2303.17004v1 |
Field-programmable gate arrays (FPGAs) are widely used to implement deep
learning inference. Standard deep neural network inference involves the
computation of interleaved linear maps and nonlinear activation functions.
Prior work for ultra-low latency implementations has hardcoded the combination
of linear maps and no... | http://arxiv.org/abs/2309.02334v2 |
The Energy Conserving semi-implicit method (ECsim), presented by Lapenta in
2017, is a Particle in Cell (PIC) algorithm for the simulation of plasmas.
Energy conservation is achieved within a semi-implicit formulation that does
not require any non-linear solver. A mass matrix is introduced to express
linearly the parti... | http://arxiv.org/abs/2301.08985v1 |
Our generation has seen an exponential increase in digital tools adoption.
One of the unique areas where digital tools have made an exponential foray is
in the sphere of digital marketing, where goods and services have been
extensively promoted through the use of digital advertisements. Following this
growth, multiple ... | http://arxiv.org/abs/2302.00651v2 |
This paper studies the idea of ``deception by motion'' through a two-player
dynamic game played between a Mover who must retrieve resources at a goal
location, and an Eater who can consume resources at two candidate goals. The
Mover seeks to minimize the resource consumption at the true goal, and the
Eater tries to max... | http://arxiv.org/abs/2306.03877v1 |
Phenomena involving interactions among magnons, phonons, and photons in
cavity magnomechanical systems have attracted considerable attention recently,
owing to their potential applications in the microwave frequency range. One
such important effect is the response of a probe field to such tripartite
interaction between... | http://arxiv.org/abs/2310.19111v2 |
Sampling the Boltzmann distribution using forces that violate detailed
balance can be faster than with the equilibrium evolution, but the acceleration
depends on the nature of the nonequilibrium drive and the physical situation.
Here, we study the efficiency of forces transverse to energy gradients in dense
liquids thr... | http://arxiv.org/abs/2307.02840v2 |
We explore asynchronous programming with algebraic effects. We complement
their conventional synchronous treatment by showing how to naturally also
accommodate asynchrony within them, namely, by decoupling the execution of
operation calls into signalling that an operation's implementation needs to be
executed, and inte... | http://arxiv.org/abs/2307.13795v4 |
Intensive farming is known to significantly impact air quality, particularly
fine particulate matter (PM$_{2.5}$). Understanding in detial their relation is
important for scientific reasons and policy making. Ammonia emissions convey
the impact of farming, but are not directly observed. They are computed through
emissi... | http://arxiv.org/abs/2310.09302v2 |
We consider the problem of information aggregation in federated decision
making, where a group of agents collaborate to infer the underlying state of
nature without sharing their private data with the central processor or each
other. We analyze the non-Bayesian social learning strategy in which agents
incorporate their... | http://arxiv.org/abs/2303.06109v2 |
Quantum state preparation plays a crucial role in several areas of quantum
information science, in applications such as quantum simulation, quantum
metrology and quantum computing. However, typically state preparation requires
resources that scale exponentially with the problem size, due to their
probabilistic nature o... | http://arxiv.org/abs/2310.06031v2 |
We study the response of chemical reaction networks driven far from
equilibrium to logarithmic perturbations of reaction rates. The response of the
mean number of a chemical species is observed to be quantitively limited by
number fluctuations as well as the maximum thermodynamic driving force. We
prove these trade-off... | http://arxiv.org/abs/2304.04961v1 |
With recent trends indicating cyber crimes increasing in both frequency and
cost, it is imperative to develop new methods that leverage data-rich hacker
forums to assist in combating ever evolving cyber threats. Defining
interactions within these forums is critical as it facilitates identifying
highly skilled users, wh... | http://arxiv.org/abs/2303.05400v1 |
LawGPT 1.0 is a virtual legal assistant built on the state-of-the-art
language model GPT-3, fine-tuned for the legal domain. The system is designed
to provide legal assistance to users in a conversational manner, helping them
with tasks such as answering legal questions, generating legal documents, and
providing legal ... | http://arxiv.org/abs/2302.05729v2 |
Behavioural cloning is an imitation learning technique that teaches an agent
how to behave via expert demonstrations. Recent approaches use self-supervision
of fully-observable unlabelled snapshots of the states to decode state pairs
into actions. However, the iterative learning scheme employed by these
techniques is p... | http://arxiv.org/abs/2304.10914v1 |
Stephen Wolfram has recently outlined an unorthodox, multicomputational
approach to fundamental theory, encompassing not only physics but also
mathematics in a structure he calls The Ruliad, understood to be the entangled
limit of all possible computations. In this framework, physical laws arise from
the the sampling o... | http://arxiv.org/abs/2308.16068v2 |
The newly observed gamma ray burst GRB221009A exhibits the existence of
10~TeV-scale photons, and the axion-photon conversion has been suggested as a
candidate to explain such energetic features of GRB221009A. In this work we
adopt a model to calculate the conversion probability of the energetic photons
from GRB221009A... | http://arxiv.org/abs/2304.01819v3 |
By now there is substantial evidence that deep learning models learn certain
human-interpretable features as part of their internal representations of data.
As having the right (or wrong) concepts is critical to trustworthy machine
learning systems, it is natural to ask which inputs from the model's original
training s... | http://arxiv.org/abs/2310.03149v4 |
Consider the Schr\"odinger operator $-\triangle+\lambda V$ with non-negative
iid random potential $V$ of strength $\lambda>0$. We prove existence and
uniqueness of the associated landscape function on the whole space, and show
that its correlations decay exponentially. As a main ingredient we establish
the (annealed an... | http://arxiv.org/abs/2307.11182v1 |
Two-dimensional (2D) materials have garnered considerable attention as an
emerging thermoelectric (TE) material owing to their unique density of state
(DOS) near the Fermi level. We investigate the TE performance of Janus
$\beta$-PdXY (X/Y=S, Se, Te) monolayer materials as a function of carrier
concentration and mid-te... | http://arxiv.org/abs/2305.11923v1 |
Many new linearized coefficients for Lorentz violation are discovered in our
recent work on the construction of a generic Lorentz-violating effective field
theory in curved spacetime. The new coefficients can be constrained by
experiments in weak gravity fields. In this work, we compare experiments in
different gravita... | http://arxiv.org/abs/2301.12705v1 |
Noise is a part of data whether the data is from measurement, experiment or
... A few techniques are suggested for noise reduction to improve the data
quality in recent years some of which are based on wavelet, orthogonalization
and neural networks. The computational cost of existing methods are more than
expected and ... | http://arxiv.org/abs/2307.01391v2 |
We study the impact of data sharing policies on cyber insurance markets.
These policies have been proposed to address the scarcity of data about cyber
threats, which is essential to manage cyber risks. We propose a Cournot duopoly
competition model in which two insurers choose the number of policies they
offer (i.e., t... | http://arxiv.org/abs/2308.00795v1 |
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