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Land, being a scarce and valuable resource, is in high demand, especially in
densely populated areas of older cities. Development authorities require land
for infrastructure projects and other amenities, while landowners hold onto
their land for both its usage and its financial value. Transferable Development
Rights (T... | http://arxiv.org/abs/2308.05950v1 |
In this paper, we study the relationship between Gaiotto-Moore-Neitzke's
non-abelianization map and Floer theory. Given a complete GMN quadratic
differential $\phi$ defined on a closed Riemann surface $C$, let $\tilde{C}$ be
the complement of the poles of $\phi$. In the case where the spectral curve
$\Sigma_{\phi}$ is ... | http://arxiv.org/abs/2307.04213v5 |
We consider two division problems on narrow strips of square and hexagonal
lattices. In both cases we compute the bivariate enumerating sequences and the
corresponding generating functions, which allowed us to determine the
asymptotic behavior of the total number of such subdivisions and the expected
number of parts. F... | http://arxiv.org/abs/2304.12121v1 |
In image compression, with recent advances in generative modeling, the
existence of a trade-off between the rate and the perceptual quality has been
brought to light, where the perception is measured by the closeness of the
output distribution to the source. This leads to the question: how does a
perception constraint ... | http://arxiv.org/abs/2305.13116v1 |
Satellite user terminals are a promising target for adversaries seeking to
target satellite communication networks. Despite this, many protections
commonly found in terrestrial routers are not present in some user terminals.
As a case study we audit the attack surface presented by the Starlink
router's admin interfac... | http://arxiv.org/abs/2303.00582v2 |
Verification techniques express program states as logical formulas over
program variables. For example, symbolic execution and abstract interpretation
encode program states as a set of integer inequalities. However, for real-world
programs these formulas tend to become large, which affects scalability of
analyses. To a... | http://arxiv.org/abs/2304.14550v1 |
Computational Pathology (CPATH) systems have the potential to automate
diagnostic tasks. However, the artifacts on the digitized histological glass
slides, known as Whole Slide Images (WSIs), may hamper the overall performance
of CPATH systems. Deep Learning (DL) models such as Vision Transformers (ViTs)
may detect and... | http://arxiv.org/abs/2305.17370v1 |
This paper presents a comprehensive review of recent advancements in image
processing and deep learning techniques for pavement distress detection and
classification, a critical aspect in modern pavement management systems. The
conventional manual inspection process conducted by human experts is gradually
being superse... | http://arxiv.org/abs/2308.00828v1 |
This paper deals with home automation systems that are essential for safe and
independent living of elderly people. These individuals must be able to perform
their Activities of Daily Living (ADLs) without help from caretakers. They must
be confident enough that help is just a few minutes with the systems in place.
The... | http://arxiv.org/abs/2308.06281v1 |
Motivated by the observation of tiny neutrino mass can not be explained
within the framework of Standard Model (SM), we consider extra gauge extended
scenarios in which tiny neutrino masses are generated through seesaw mechanism.
These scenarios are equipped with beyond the standard model (BSM) neutral gauge
boson call... | http://arxiv.org/abs/2307.09737v2 |
Generating vector representations (embeddings) of OWL ontologies is a growing
task due to its applications in predicting missing facts and knowledge-enhanced
learning in fields such as bioinformatics. The underlying semantics of OWL
ontologies is expressed using Description Logics (DLs). Initial approaches to
generate ... | http://arxiv.org/abs/2305.07163v2 |
Recent experimental studies have demonstrated the possibility of utilizing
strong terahertz pulses to manipulate individual ferroic orders on pico- and
femtosecond timescales. Here, we extend these findings and showcase the
simultaneous manipulation of multiple ferroic orders in BiFeO$_3$, a material
that is both ferro... | http://arxiv.org/abs/2305.08250v2 |
In this study, we demonstrate the use of physics-informed neural networks
(PINNs) for computing the quasinormal modes (QNMs) of black holes in de
Rham-Gabadadze-Tolley (dRGT) massive gravity. These modes describe the
oscillation frequencies of perturbed black holes and are important in
understanding the behavior of the... | http://arxiv.org/abs/2303.02395v2 |
In this paper we prove that there is a continuum set of increments with some
minimal structure for the Hardy - Littlewood integral. The result implies a
number of new properties of the Hardy - Littlewood integral. | http://arxiv.org/abs/2304.09267v1 |
Huawei's vision and mission is to build a fully connected intelligent world.
Since 2013, Huawei Noah's Ark Lab has helped many products build recommender
systems and search engines for getting the right information to the right
users. Every day, our recommender systems serve hundreds of millions of mobile
phone users a... | http://arxiv.org/abs/2310.04804v1 |
In this work, we derived the necessary and sufficient conditions on
parameters for $_3F_2(^{a,b,c}_{b+1,c+1};z)$ Hypergeometric Function to be in
the classes $\mathcal{M}^{\ast}(\lambda,\alpha)$ and
$\mathcal{N}^{\ast}(\lambda,\alpha)$ and information regarding the image of
function $_3F_2(^{a,b,c}_{b+1,c+1};z)$ belong... | http://arxiv.org/abs/2301.12927v1 |
With the growth of artificial intelligence (AI), there has been an increase
in the adoption of computer vision and deep learning (DL) techniques for the
evaluation of microscopy images and movies. This adoption has not only
addressed hurdles in quantitative analysis of dynamic cell biological
processes, but it has also... | http://arxiv.org/abs/2307.10500v1 |
Past work demonstrated that using neural networks, we can extend unfinished
music pieces while maintaining the music style of the musician. With recent
advancements in large language models and diffusion models, we are now capable
of generating comics with an interesting storyline while maintaining the art
style of the... | http://arxiv.org/abs/2305.11067v2 |
Few-shot semantic segmentation (FSS) aims to achieve novel objects
segmentation with only a few annotated samples and has made great progress
recently. Most of the existing FSS models focus on the feature matching between
support and query to tackle FSS. However, the appearance variations between
objects from the same ... | http://arxiv.org/abs/2301.03194v2 |
Carbonated water flooding (CWI) increases oil production due to favorable
dissolution effects and viscosity reduction. Accurate modeling of CWI
performance requires a simulator with the ability to capture the true physics
of such process. In this study, compositional modeling coupled with surface
complexation modeling ... | http://arxiv.org/abs/2306.08066v1 |
In Federated Learning (FL) client devices connected over the internet
collaboratively train a machine learning model without sharing their private
data with a central server or with other clients. The seminal Federated
Averaging (FedAvg) algorithm trains a single global model by performing rounds
of local training on c... | http://arxiv.org/abs/2305.09628v1 |
The various aspects like modeling and interpreting 3D environments and
surroundings have enticed humans to progress their research in 3D Computer
Vision, Computer Graphics, and Machine Learning. An attempt made by Mildenhall
et al in their paper about NeRFs (Neural Radiance Fields) led to a boom in
Computer Graphics, R... | http://arxiv.org/abs/2304.10050v2 |
This paper explores a factorization using bidiagonal matrices of the
recurrence matrix of Hahn multiple orthogonal polynomials. The factorization is
expressed in terms of ratios involving the generalized hypergeometric function
${}_3F_2$ and is proven using recently discovered contiguous relations.
Moreover, employing ... | http://arxiv.org/abs/2308.01288v2 |
We explain the methodology used to create the data submitted to HuMob
Challenge, a data analysis competition for human mobility prediction. We
adopted a personalized model to predict the individual's movement trajectory
from their data, instead of predicting from the overall movement, based on the
hypothesis that human... | http://arxiv.org/abs/2310.12900v1 |
The launch of ChatGPT in November 2022 precipitated a panic among some
educators while prompting qualified enthusiasm from others. Under the umbrella
term Generative AI, ChatGPT is an example of a range of technologies for the
delivery of computer-generated text, image, and other digitized media. This
paper examines th... | http://arxiv.org/abs/2305.07605v3 |
We discuss a dynamical systems perspective on discrete optimization.
Departing from the fact that many combinatorial optimization problems can be
reformulated as finding low energy spin configurations in corresponding Ising
models, we derive a penalized rank-two relaxation of the Ising formulation. It
turns out that th... | http://arxiv.org/abs/2305.08536v1 |
In the present study, the calculations of two-body decays B^{0}_{s}
\rightarrow \ TT [ T denotes tensor mesons, a_{2}(1320), K^{*}_{2}(1430),
f_{2}(1270), f^{'}_{2}(1525)] in the perturbative QCD approach are presented.
The ensuing predictions encompass branching ratios, polarization fractions, and
direct CP violations... | http://arxiv.org/abs/2306.09378v3 |
Physically informed neural networks (PINNs) are a promising emerging method
for solving differential equations. As in many other deep learning approaches,
the choice of PINN design and training protocol requires careful craftsmanship.
Here, we suggest a comprehensive theoretical framework that sheds light on this
impor... | http://arxiv.org/abs/2307.06362v2 |
Evolutionary symbolic regression (SR) fits a symbolic equation to data, which
gives a concise interpretable model. We explore using SR as a method to propose
which data to gather in an active learning setting with physical constraints.
SR with active learning proposes which experiments to do next. Active learning
is do... | http://arxiv.org/abs/2305.10379v3 |
Generating questions along with associated answers from a text has
applications in several domains, such as creating reading comprehension tests
for students, or improving document search by providing auxiliary questions and
answers based on the query. Training models for question and answer generation
(QAG) is not str... | http://arxiv.org/abs/2305.17416v1 |
X-ray Fluorescence Ghost Imaging (XRF-GI) was recently demonstrated for x-ray
lab sources. It has the potential to reduce acquisition time and deposited dose
by choosing their trade-off with spatial resolution, while alleviating the
focusing constraints of the probing beam. Here, we demonstrate the realization
of synch... | http://arxiv.org/abs/2306.16258v2 |
Despite rapid progress in the voice style transfer (VST) field, recent
zero-shot VST systems still lack the ability to transfer the voice style of a
novel speaker. In this paper, we present HierVST, a hierarchical adaptive
end-to-end zero-shot VST model. Without any text transcripts, we only use the
speech dataset to t... | http://arxiv.org/abs/2307.16171v1 |
The aim of this guidance note is to provide recommendations on best
statistical practices and to ensure consistent communication of statistical
analysis and associated uncertainty across TOAR publications. The scope
includes approaches for reporting trends, a discussion of strengths and
weaknesses of commonly used tech... | http://arxiv.org/abs/2304.14236v1 |
Large language models (LLMs) have garnered significant attention for their
remarkable performance in a continuously expanding set of natural language
processing tasks. However, these models have been shown to harbor inherent
societal biases, or stereotypes, which can adversely affect their performance
in their many dow... | http://arxiv.org/abs/2310.08780v1 |
The valley-related multiple topological phase transitions attracted
significant attention due to their providing significant opportunities for
fundamental research and practical applications. However, unfortunately, to
date there is no real material that can realize valley-related multiple
topological phase transitions... | http://arxiv.org/abs/2305.13670v1 |
Various white-dwarf (WD) binary scenarios have been proposed trying to
understand the nature and the diversity of Type Ia supernovae (SNe Ia). In this
work, we study the evolution of carbon-oxygen WD -- red giant (RG) binaries
(including the role of magnetic confinement) as possible SN Ia progenitors (the
so-called sym... | http://arxiv.org/abs/2301.01783v1 |
Channel state information (CSI) estimation is a critical issue in the design
of modern massive multiple-input multiple-output (mMIMO) networks. With the
increasing number of users, assigning orthogonal pilots to everyone incurs a
large overhead that strongly penalizes the system's spectral efficiency (SE).
It becomes t... | http://arxiv.org/abs/2310.06975v1 |
In the presence of elastic forces, even dilute polymer suspensions can
exhibit erratic flow fluctuations even when the viscous forces dominate over
the inertial forces, which occur at vanishing-low Reynolds numbers (Re). This
phenomenon is called Elastic Turbulence (ET). ET can be generated in
small-scale laboratory se... | http://arxiv.org/abs/2304.04025v2 |
The present study makes use of the adjoint modes of the Linearized Reactive
Flow (LRF) equations to investigate the Intrinsic Thermoacoustic (ITA) feedback
loop of a laminar premixed slit flame. The analysis shows that the ITA feedback
loop is closed by vorticity generated in the boundary layer of the slit by
impinging... | http://arxiv.org/abs/2307.12317v1 |
In this paper, we propose Multi-Modal Databases (MMDBs), which is a new class
of database systems that can seamlessly query text and tables using SQL. To
enable seamless querying of textual data using SQL in an MMDB, we propose to
extend relational databases with so-called multi-modal operators (MMOps) which
are based ... | http://arxiv.org/abs/2304.13559v2 |
Fair Principal Component Analysis (PCA) is a problem setting where we aim to
perform PCA while making the resulting representation fair in that the
projected distributions, conditional on the sensitive attributes, match one
another. However, existing approaches to fair PCA have two main problems:
theoretically, there h... | http://arxiv.org/abs/2310.18593v1 |
We present counts-level fits to the keV-GeV data of the early afterglow of
the brightest gamma-ray burst detected to date, GRB 221009A. We discuss the
complexity of the data reduction due to the unprecedented brightness and the
location in the Galactic plane. We find the energy spectrum to be well
described as a smooth... | http://arxiv.org/abs/2308.13854v2 |
We study Krylov complexity of a one-dimensional Bosonic system, the
celebrated Bose-Hubbard Model. The Bose-Hubbard Hamiltonian consists of
interacting bosons on a lattice, describing ultra-cold atoms. Apart from
showing superfluid-Mott insulator phase transition, the model also exhibits
both chaotic and integrable (mi... | http://arxiv.org/abs/2306.05542v2 |
The QCD axion has been postulated to exist because it solves the strong CP
problem. Furthermore, if it exists axions should be created in the early
Universe and could account for all the observed dark matter. In particular,
axion masses of order $10^{-10}$ to $10^{-7}$ eV correspond to axions in the
vicinity of the GUT... | http://arxiv.org/abs/2306.13320v2 |
The precision of quantum sensing could be improved by exploiting quantum
phase transitions, where the physical quantity tends to diverge when the system
approaches the quantum critical point. This critical enhancement phenomenon has
been applied to the quantum Rabi model in a dynamic framework, showing a
promising sens... | http://arxiv.org/abs/2303.16486v2 |
We propose a reinforcement-learning algorithm to tackle the challenge of
reconstructing phylogenetic trees. The search for the tree that best describes
the data is algorithmically challenging, thus all current algorithms for
phylogeny reconstruction use various heuristics to make it feasible. In this
study, we demonstr... | http://arxiv.org/abs/2303.06695v1 |
We investigate operator growth in quantum systems with two-dimensional
Schr\"odinger group symmetry by studying the Krylov complexity. While feasible
for semisimple Lie algebras, cases such as the Schr\"odinger algebra which is
characterized by a semi-direct sum structure are complicated. We propose to
compute Krylov c... | http://arxiv.org/abs/2306.03133v4 |
Quantum Approximate Optimization Algorithm (QAOA) is a leading candidate
algorithm for solving combinatorial optimization problems on quantum computers.
However, in many cases QAOA requires computationally intensive parameter
optimization. The challenge of parameter optimization is particularly acute in
the case of wei... | http://arxiv.org/abs/2305.15201v3 |
Skin lesion segmentation plays a critical role in the early detection and
accurate diagnosis of dermatological conditions. Denoising Diffusion
Probabilistic Models (DDPMs) have recently gained attention for their
exceptional image-generation capabilities. Building on these advancements, we
propose DermoSegDiff, a novel... | http://arxiv.org/abs/2308.02959v1 |
The paper studies intraday price movement of stocks that is considered as an
image classification problem. Using a CNN-based model we make a compelling case
for the high-level relationship between the first hour of trading and the
close. The algorithm managed to adequately separate between the two opposing
classes and ... | http://arxiv.org/abs/2303.01111v1 |
Convolutional neural networks and their ilk have been very successful for
many learning tasks involving images. These methods assume that the input is a
scalar image representing the intensity in each pixel, possibly in multiple
channels for color images. In natural-science domains however, image-like data
sets might h... | http://arxiv.org/abs/2305.12585v1 |
It is, by now, classical that lattices in higher rank semisimple groups have
various rigidity properties. In this work, we add another such rigidity
property to the list: uniform stability with respect to the family of unitary
operators on finite-dimensional Hilbert spaces equipped with submultiplicative
norms. Namely,... | http://arxiv.org/abs/2301.00476v4 |
Self-supervised audio-visual source localization aims to locate sound-source
objects in video frames without extra annotations. Recent methods often
approach this goal with the help of contrastive learning, which assumes only
the audio and visual contents from the same video are positive samples for each
other. However... | http://arxiv.org/abs/2303.11302v2 |
Multi-task learning has been widely applied in computational vision, natural
language processing and other fields, which has achieved well performance. In
recent years, a lot of work about multi-task learning recommender system has
been yielded, but there is no previous literature to summarize these works. To
bridge th... | http://arxiv.org/abs/2305.13843v1 |
We have done a systematic no-core shell-model study of $^{20-23}$Na isotopes.
The low-energy spectra of these sodium isotopes consisting of natural and
un-natural parity states were reported, considering three realistic
interactions: inside nonlocal outside Yukawa (INOY), charge-dependent Bonn 2000
(CDB2K), and the chi... | http://arxiv.org/abs/2310.17893v2 |
We introduce a method to measure uncertainty in large language models. For
tasks like question answering, it is essential to know when we can trust the
natural language outputs of foundation models. We show that measuring
uncertainty in natural language is challenging because of "semantic
equivalence" -- different sent... | http://arxiv.org/abs/2302.09664v3 |
We show that rhombohedral four-layer graphene (4LG) nearly aligned with a
hexagonal boron nitride (hBN) substrate often develops nearly flat isolated low
energy bands with non-zero valley Chern numbers. The bandwidths of the isolated
flatbands are controllable through an electric field and twist angle, becoming
as narr... | http://arxiv.org/abs/2304.12874v1 |
Training a machine learning model with data following a meaningful order,
i.e., from easy to hard, has been proven to be effective in accelerating the
training process and achieving better model performance. The key enabling
technique is curriculum learning (CL), which has seen great success and has
been deployed in ar... | http://arxiv.org/abs/2310.10124v1 |
In this poster, we present RealityDrop, a novel multimodal framework that
uses Mixed Reality (MR) technology to manipulate, display, and transfer virtual
content across different display systems. Employing MR as the centre of
control, RealityDrop affords concise information dissemination among diverse
collaborators, th... | http://arxiv.org/abs/2310.07458v1 |
We provide an integrated and systematic automation approach to spatial object
recognition and positional detection using AI machine learning and computer
vision algorithms for Orange County, California. We describe a comprehensive
methodology for multi-sensor, high-resolution field data acquisition, along
with post-fie... | http://arxiv.org/abs/2303.07560v1 |
Entanglement is a fundamental resource in quantum information processing, yet
understanding its manipulation and transformation remains a challenge. Many
tasks rely on highly entangled pure states, but obtaining such states is often
challenging due to the presence of noise. Typically, entanglement manipulation
procedur... | http://arxiv.org/abs/2305.03488v1 |
Cyclocarbon molecules are critical in understanding the carbon structure
formation and the nature of the interaction between carbon atoms. In
cyclocarbons, light elements such as H, O and N may interplay with rings to
form doped cyclocarbon molecules. Such molecules show unique optical properties
that have never been r... | http://arxiv.org/abs/2310.18578v1 |
Recommender system is adored in the internet industry as one of the most
profitable technologies. Unlike other sectors such as fraud detection in the
Fintech industry, recommender system is both deep and broad. In recent years,
many researchers start to focus on the cold-start problem of recommender
systems. In spite o... | http://arxiv.org/abs/2307.05680v1 |
This study introduces a novel On-the-Fly Guidance (OFG) training framework
for enhancing existing learning-based image registration models, addressing the
limitations of weakly-supervised and unsupervised methods. Weakly-supervised
methods struggle due to the scarcity of labeled data, and unsupervised methods
directly ... | http://arxiv.org/abs/2308.15216v5 |
Without proper safeguards, large language models will readily follow
malicious instructions and generate toxic content. This risk motivates safety
efforts such as red-teaming and large-scale feedback learning, which aim to
make models both helpful and harmless. However, there is a tension between
these two objectives, ... | http://arxiv.org/abs/2308.01263v3 |
The FakeNews task in MediaEval 2022 investigates the challenge of finding
accurate and high-performance models for the classification of conspiracy
tweets related to COVID-19. In this paper, we used BERT, ELMO, and their
combination for feature extraction and RandomForest as classifier. The results
show that ELMO perfo... | http://arxiv.org/abs/2303.03706v1 |
We propose a simple approach for weighting self-connecting edges in a Graph
Convolutional Network (GCN) and show its impact on depression detection from
transcribed clinical interviews. To this end, we use a GCN for modeling
non-consecutive and long-distance semantics to classify the transcriptions into
depressed or co... | http://arxiv.org/abs/2307.00920v2 |
The aim of this article is to study the impact of resistance acquisition on
the distribution of neutral mutations in a cell population under therapeutic
pressure. The cell population is modeled by a bi-type branching process.
Initially, the cells all carry type 0, associated with a negative growth rate.
Mutations towar... | http://arxiv.org/abs/2303.04069v2 |
A simple proof of Egorov's theorem for infinite measure is given | http://arxiv.org/abs/2309.08608v1 |
The purpose of this paper is to establish a stochastic differential equation
for the Donsker delta measure of the solution of a McKean-Vlasov (mean-field)
stochastic differential equation.
If the Donsker delta measure is absolutely continuous with respect to
Lebesgue measure, then its Radon-Nikodym derivative is call... | http://arxiv.org/abs/2302.12522v1 |
Two-dimensional (2D) superconductivity in artificial interfaces and
atomic-thin layers has gained attention for its exotic quantum phenomena and
practical applications. Although bulk van der Waals layered materials have been
explored for 2D superconductivity, most of these compounds do not exhibit
remarkable properties... | http://arxiv.org/abs/2303.05377v1 |
While studying set function properties of Lebesgue measure, F. Barthe and M.
Madiman proved that Lebesgue measure is fractionally superadditive on compact
sets in $\mathbb{R}^n$. In doing this they proved a fractional generalization
of the Brunn-Minkowski-Lyusternik (BML) inequality in dimension $n=1$. In this
paper we... | http://arxiv.org/abs/2307.07097v2 |
The root laplacian operator or the square root of Laplacian which can be
obtained in complete Riemannian manifolds in the Gromov sense has an analog in
graph theory as a square root of graph-Laplacian. Some potential applications
have been shown in geometric deep learning (spectral clustering) and graph
signal processi... | http://arxiv.org/abs/2302.02731v1 |
Health risk prediction is one of the fundamental tasks under predictive
modeling in the medical domain, which aims to forecast the potential health
risks that patients may face in the future using their historical Electronic
Health Records (EHR). Researchers have developed several risk prediction models
to handle the u... | http://arxiv.org/abs/2310.02520v2 |
Multi-types of user behavior data (e.g., clicking, adding to cart, and
purchasing) are recorded in most real-world recommendation scenarios, which can
help to learn users' multi-faceted preferences. However, it is challenging to
explore multi-behavior data due to the unbalanced data distribution and sparse
target behav... | http://arxiv.org/abs/2303.02418v1 |
We present a systematic exploration of a general family of effective $SU(2)$
models with an adjoint scalar. First, we discuss a redundancy in this class of
models and use it to identify seemingly different, yet physically equivalent
models. Next, we construct the Bogomol'nyi-Prasad-Sommerfield (BPS) limit and
derive an... | http://arxiv.org/abs/2303.15602v2 |
We derive an intuitionistic version of G\"odel-L\"ob modal logic ($\sf{GL}$)
in the style of Simpson, via proof theoretic techniques. We recover a labelled
system, $\sf{\ell IGL}$, by restricting a non-wellfounded labelled system for
$\sf{GL}$ to have only one formula on the right. The latter is obtained using
techniqu... | http://arxiv.org/abs/2309.00532v1 |
We use numerical relativity simulations of binary neutron star mergers to
show that high density deconfinement phase transitions (PTs) to quark matter
can be probed using multimodal postmerger gravitational wave (GW) spectroscopy.
Hadron-quark PTs suppress the one-armed spiral instability in the remnant. This
is manife... | http://arxiv.org/abs/2301.03619v1 |
Precise and accurate predictions over boundary areas are essential for
semantic segmentation. However, the commonly-used convolutional operators tend
to smooth and blur local detail cues, making it difficult for deep models to
generate accurate boundary predictions. In this paper, we introduce an
operator-level approac... | http://arxiv.org/abs/2302.02057v1 |
We show that under suitable hypotheses, the second homotopy group of the
coned-off space associated to a $C(9)$ cubical presentation is trivial, and use
this to provide classifying spaces for proper actions for the fundamental
groups of many quotients of square complexes admitting such cubical
presentations. When the c... | http://arxiv.org/abs/2305.06296v3 |
Shared autonomy is an operational concept in which a user and an autonomous
agent collaboratively control a robotic system. It provides a number of
advantages over the extremes of full-teleoperation and full-autonomy in many
settings. Traditional approaches to shared autonomy rely on knowledge of the
environment dynami... | http://arxiv.org/abs/2302.12244v3 |
The electron bubble in superfluid helium has two degrees of freedom that may
offer exceptionally low dissipation: the electron's spin and the bubble's
motion. If these degrees of freedom can be read out and controlled with
sufficient sensitivity, they would provide a novel platform for realizing a
range of quantum tech... | http://arxiv.org/abs/2308.07174v2 |
Realizing continuous sweeping of perfect anomalous reflection in a wide
angular range has become a technical challenge. This challenge cannot be
overcome by the conventional aperiodic reflectarrays and periodic metasurfaces
or metagratings. In this paper, we investigate means to create scanning
reflectarrays for the re... | http://arxiv.org/abs/2303.05411v1 |
Computationally generating novel synthetically accessible compounds with high
affinity and low toxicity is a great challenge in drug design. Machine-learning
models beyond conventional pharmacophoric methods have shown promise in
generating novel small molecule compounds, but require significant tuning for a
specific p... | http://arxiv.org/abs/2304.10905v1 |
We exploit the potential of the large-scale Contrastive Language-Image
Pretraining (CLIP) model to enhance scene text detection and spotting tasks,
transforming it into a robust backbone, FastTCM-CR50. This backbone utilizes
visual prompt learning and cross-attention in CLIP to extract image and
text-based prior knowle... | http://arxiv.org/abs/2308.10408v1 |
In inverse reinforcement learning (IRL), the central objective is to infer
underlying reward functions from observed expert behaviors in a way that not
only explains the given data but also generalizes to unseen scenarios. This
ensures robustness against reward ambiguity where multiple reward functions can
equally expl... | http://arxiv.org/abs/2310.12055v1 |
Machine learning is frequently used in affective computing, but presents
challenges due the opacity of state-of-the-art machine learning methods.
Because of the impact affective machine learning systems may have on an
individual's life, it is important that models be made transparent to detect
and mitigate biased decis... | http://arxiv.org/abs/2306.08933v1 |
In this paper, we investigate an open research task of generating
controllable 3D textured shapes from the given textual descriptions. Previous
works either require ground truth caption labeling or extensive optimization
time. To resolve these issues, we present a novel framework, TAPS3D, to train a
text-guided 3D shap... | http://arxiv.org/abs/2303.13273v1 |
Collective action and group formation are fundamental behaviors among both
organisms cooperating to maximize their fitness, and people forming
socioeconomic organizations. Researchers have extensively explored social
interaction structures via game theory and homophilic linkages, such as kin
selection and scalar stress... | http://arxiv.org/abs/2307.01380v3 |
Thin stellar discs on both galactic and nuclear, sub-kpc scales are believed
to be fragile structures that would be easily destroyed in major mergers. In
turn, this makes the age-dating of their stellar populations a useful
diagnostics for the assembly history of galaxies. We aim at carefully exploring
the fragility of... | http://arxiv.org/abs/2302.03349v1 |
Announcing the final release, v8, of the Milliquas (Million Quasars) quasar
catalogue which presents all published quasars to 30 June 2023, including
quasars from the first releases of the Dark Energy Spectroscopic Instrument
(DESI) and the SDSS-DR18 Black Hole Mapper. Its totals are 907,144 type-I
QSOs/AGN and 66,026 ... | http://arxiv.org/abs/2308.01505v3 |
The primary objective of quantum Shannon theory is to evaluate the capacity
of quantum channels. In spite of the existence of rigorous coding theorems that
quantify the transmission of information through quantum channels,
superadditivity effects limit our understanding of the channel capacities. In
this paper, we main... | http://arxiv.org/abs/2305.04481v2 |
Both the Bayes factor and the relative belief ratio satisfy the principle of
evidence and so can be seen to be valid measures of statistical evidence.
Certainly Bayes factors are regularly employed. The question then is: which of
these measures of evidence is more appropriate? It is argued here that there
are questions... | http://arxiv.org/abs/2301.08994v2 |
We review methods that allow one to detect and characterise quantum
correlations in many-body systems, with a special focus on approaches which are
scalable. Namely, those applicable to systems with many degrees of freedom,
without requiring a number of measurements or computational resources to
analyze the data that s... | http://arxiv.org/abs/2302.00640v1 |
We report on the first simultaneous high-time resolution X-ray and infrared
(IR) observations of a neutron star low mass X-ray binary in its hard state. We
performed $\approx 2\,$h of simultaneous observations of 4U 1728-34 using
HAWK-I@VLT, XMM-Newton and NuSTAR. The source displayed significant X-ray and
IR variabili... | http://arxiv.org/abs/2308.15570v1 |
A major challenge in the field of Text Generation is evaluation: Human
evaluations are cost-intensive, and automated metrics often display
considerable disagreement with human judgments. In this paper, we propose a
statistical model of Text Generation evaluation that accounts for the
error-proneness of automated metric... | http://arxiv.org/abs/2306.03866v1 |
The field of visual representation learning has seen explosive growth in the
past years, but its benefits in robotics have been surprisingly limited so far.
Prior work uses generic visual representations as a basis to learn
(task-specific) robot action policies (e.g., via behavior cloning). While the
visual representat... | http://arxiv.org/abs/2303.08135v4 |
Text-based reinforcement learning agents have predominantly been neural
network-based models with embeddings-based representation, learning
uninterpretable policies that often do not generalize well to unseen games. On
the other hand, neuro-symbolic methods, specifically those that leverage an
intermediate formal repre... | http://arxiv.org/abs/2307.02689v1 |
Modern web applications make extensive use of API calls to update the UI
state in response to user events or server-side changes. For such applications,
API-level testing can play an important role, in-between unit-level testing and
UI-level (or end-to-end) testing. Existing API testing tools require API
specifications... | http://arxiv.org/abs/2305.14692v1 |
Magnetic nulls are locations where the magnetic field vanishes. Nulls are the
location of magnetic reconnection, and they determine to a large degree the
magnetic connectivity in a system. We describe a novel approach to
understanding movement, appearance, and disappearance of nulls in magnetic
fields. This approach is... | http://arxiv.org/abs/2308.05763v1 |
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