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arxiv_dataset-181002303.10203 | The Universal One-Loop Effective Action with Gravity
hep-th gr-qc hep-ph
We complete the so-called Universal One-Loop Effective Action (UOLEA) with
effects of gravity and provide a systematic approach to incorporate higher
dimensional operators in curved spacetime. The functional determinant stemming
from the path ... | arxiv topic:hep-th gr-qc hep-ph |
arxiv_dataset-181012303.10303 | The Challenge of Differentially Private Screening Rules
cs.LG cs.CR
Linear $L_1$-regularized models have remained one of the simplest and most
effective tools in data analysis, especially in information retrieval problems
where n-grams over text with TF-IDF or Okapi feature values are a strong and
easy baseline. Ov... | arxiv topic:cs.LG cs.CR |
arxiv_dataset-181022303.10403 | Computing a compact local Smith McMillan form
math.NA cs.NA
We define a compact local Smith-McMillan form of a rational matrix
$R(\lambda)$ as the diagonal matrix whose diagonal elements are the nonzero
entries of a local Smith-McMillan form of $R(\lambda)$. We show that a
recursive rank search procedure, applied t... | arxiv topic:math.NA cs.NA |
arxiv_dataset-181032303.10503 | Counter-examples in first-order optimization: a constructive approach
math.OC
While many approaches were developed for obtaining worst-case complexity
bounds for first-order optimization methods in the last years, there remain
theoretical gaps in cases where no such bound can be found. In such cases, it
is often un... | arxiv topic:math.OC |
arxiv_dataset-181042303.10603 | Non-linear Electrodynamics derived from the Kaluza-Klein Theory
math-ph hep-th math.MP
The lagrangian of the Kaluza-Klein theory, in its simplest five-dimensional
version, should include not only the scalar curvature R, but also the quadratic
Gauss-Bonnet invariant. The general lagrangian is computed and the result... | arxiv topic:math-ph hep-th math.MP |
arxiv_dataset-181052303.10703 | CCTV-Gun: Benchmarking Handgun Detection in CCTV Images
cs.CV
Gun violence is a critical security problem, and it is imperative for the
computer vision community to develop effective gun detection algorithms for
real-world scenarios, particularly in Closed Circuit Television (CCTV)
surveillance data. Despite signif... | arxiv topic:cs.CV |
arxiv_dataset-181062303.10803 | The genuine unitary dual of complex spin groups
math.RT
In this manuscript, we give a classification of all irreducible, unitary
representations of complex spin groups.
| arxiv topic:math.RT |
arxiv_dataset-181072303.10903 | VR-SLAM: A Visual-Range Simultaneous Localization and Mapping System
using Monocular Camera and Ultra-wideband Sensors
cs.RO
In this work, we propose a simultaneous localization and mapping (SLAM)
system using a monocular camera and Ultra-wideband (UWB) sensors. Our system,
referred to as VRSLAM, is a multi-stage... | arxiv topic:cs.RO |
arxiv_dataset-181082303.11003 | Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization
cs.CV cs.AI
We propose a self-supervised method for learning motion-focused video
representations. Existing approaches minimize distances between temporally
augmented videos, which maintain high spatial similarity. We instead propose to
learn s... | arxiv topic:cs.CV cs.AI |
arxiv_dataset-181092303.11103 | Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
cs.IT cs.AI cs.LG cs.NI math.IT
Sionna is a GPU-accelerated open-source library for link-level simulations
based on TensorFlow. Since release v0.14 it integrates a differentiable ray
tracer (RT) for the simulation of radio wave propagation. This u... | arxiv topic:cs.IT cs.AI cs.LG cs.NI math.IT |
arxiv_dataset-181102303.11203 | Less is More: Reducing Task and Model Complexity for 3D Point Cloud
Semantic Segmentation
cs.CV
Whilst the availability of 3D LiDAR point cloud data has significantly grown
in recent years, annotation remains expensive and time-consuming, leading to a
demand for semi-supervised semantic segmentation methods with ... | arxiv topic:cs.CV |
arxiv_dataset-181112303.11303 | Secondary Excitation of Spin-Waves: How Electromagnetic Cross-Talk
Impacts on Magnonic Devices
physics.app-ph
This work examines the impact of electromagnetic cross-talk in magnonic
devices when using inductive spin-wave (SW) transducers. We present detailed
electrical SW spectroscopy measurements showing the sig... | arxiv topic:physics.app-ph |
arxiv_dataset-181122303.11403 | eP-ALM: Efficient Perceptual Augmentation of Language Models
cs.CV cs.CL cs.LG
Large Language Models (LLMs) have so far impressed the world, with
unprecedented capabilities that emerge in models at large scales. On the vision
side, transformer models (i.e., ViT) are following the same trend, achieving
the best perf... | arxiv topic:cs.CV cs.CL cs.LG |
arxiv_dataset-181132303.11503 | Proof of a conjecture on distribution of Laplacian eigenvalues and
diameter, and beyond
math.CO
Ahanjideh, Akbari, Fakharan and Trevisan proposed a conjecture in [Linear
Algebra Appl. 632 (2022) 1--14] on the distribution of the Laplacian
eigenvalues of graphs: for any connected graph of order $n$ with diameter $... | arxiv topic:math.CO |
arxiv_dataset-181142303.11603 | Broadband X-ray timing and spectral characteristics of the
accretion-powered millisecond X-ray pulsar MAXI J1816$-$195
astro-ph.HE
We studied the broadband X-ray timing and spectral behaviors of the newly
confirmed accreting millisecond X-ray pulsar MAXI J1816$-$195 during its 2022
outburst. We used the data from... | arxiv topic:astro-ph.HE |
arxiv_dataset-181152303.11703 | Being an Influencer is Hard: The Complexity of Influence Maximization in
Temporal Graphs with a Fixed Source
cs.CC cs.DS
We consider the influence maximization problem over a temporal graph, where
there is a single fixed source. We deviate from the standard model of influence
maximization, where the goal is to ch... | arxiv topic:cs.CC cs.DS |
arxiv_dataset-181162303.11803 | Fighting over-fitting with quantization for learning deep neural
networks on noisy labels
cs.CV
The rising performance of deep neural networks is often empirically
attributed to an increase in the available computational power, which allows
complex models to be trained upon large amounts of annotated data. Howeve... | arxiv topic:cs.CV |
arxiv_dataset-181172303.11903 | Counting Finite Topologies
math.CO
In this paper we study the number of finite topologies on an $n$-element set
subject to various restrictions.
| arxiv topic:math.CO |
arxiv_dataset-181182303.12003 | Artificial muses: Generative Artificial Intelligence Chatbots Have Risen
to Human-Level Creativity
cs.AI cs.HC
A widespread view is that Artificial Intelligence cannot be creative. We
tested this assumption by comparing human-generated ideas with those generated
by six Generative Artificial Intelligence (GAI) cha... | arxiv topic:cs.AI cs.HC |
arxiv_dataset-181192303.12103 | Revisiting the Refined Distance Conjecture
hep-th
The Distance Conjecture of Ooguri and Vafa holds that any infinite-distance
limit in the moduli space of a quantum gravity theory must be accompanied by a
tower of exponentially light particles, which places tight constraints on the
low-energy effective field theori... | arxiv topic:hep-th |
arxiv_dataset-181202303.12203 | Intercalating Helium into A-site Vacant Perovskites
cond-mat.mtrl-sci
Evolutionary searches were employed to predict the most stable structures of
perovskites with helium atoms on their A-sites up to pressures of 10 GPa. The
thermodynamics associated with helium intercalation into [CaZr]F6, structure
that [He]2[CaZ... | arxiv topic:cond-mat.mtrl-sci |
arxiv_dataset-181212303.12303 | The Chocolate Chip Cookie Model: dust-to-metal ratio of HII regions
astro-ph.GA
Using a sample of face-on star-forming galaxies selected from the Sloan
Digital Sky Survey, we statistically derive the typical optical depth
$\tau_{\rm{cl}}$ of individual HII regions based on the ``Chocolate Chip
Cookie" model of Lu20... | arxiv topic:astro-ph.GA |
arxiv_dataset-181222303.12403 | A Resource Efficient Implementation of the RESTCONF Protocol for OpenWrt
Systems
cs.NI
In recent years, the open source operating system OpenWrt has become a
popular option for replacing proprietary firmware on networking devices such as
home routers or access points. In order to configure an OpenWrt system, like... | arxiv topic:cs.NI |
arxiv_dataset-181232303.12503 | Optimum phase estimation with two control qubits
quant-ph
Phase estimation is used in many quantum algorithms, particularly in order to
estimate energy eigenvalues for quantum systems. When using a single qubit as
the probe (used to control the unitary we wish to estimate the eigenvalue of),
it is not possible to m... | arxiv topic:quant-ph |
arxiv_dataset-181242303.12603 | Driveability Constrained Models for Optimal Control of Hybrid Electric
Vehicles
eess.SY cs.SY
This work investigates the effect of three different driveability constraints
on the optimal energy management strategy for a p2 parallel hybrid. Two of
these constraints are used to prevent frequent gear shifting and en... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-181252303.12703 | Causal Reasoning in the Presence of Latent Confounders via Neural ADMG
Learning
cs.LG stat.ME
Latent confounding has been a long-standing obstacle for causal reasoning
from observational data. One popular approach is to model the data using
acyclic directed mixed graphs (ADMGs), which describe ancestral relations... | arxiv topic:cs.LG stat.ME |
arxiv_dataset-181262303.12803 | Evolving Populations of Diverse RL Agents with MAP-Elites
cs.NE cs.AI
Quality Diversity (QD) has emerged as a powerful alternative optimization
paradigm that aims at generating large and diverse collections of solutions,
notably with its flagship algorithm MAP-ELITES (ME) which evolves solutions
through mutations a... | arxiv topic:cs.NE cs.AI |
arxiv_dataset-181272303.12903 | Transcorrelated coupled cluster methods. II. Molecular systems
physics.chem-ph
We demonstrate the accuracy of ground-state energies of the transcorrelated
Hamiltonian, employing sophisticated Jastrow factors obtained from variational
Monte Carlo, together with the coupled cluster and distinguishable cluster
methods... | arxiv topic:physics.chem-ph |
arxiv_dataset-181282303.13003 | Benchmarking the Reliability of Post-training Quantization: a Particular
Focus on Worst-case Performance
cs.LG cs.CV
Post-training quantization (PTQ) is a popular method for compressing deep
neural networks (DNNs) without modifying their original architecture or
training procedures. Despite its effectiveness and ... | arxiv topic:cs.LG cs.CV |
arxiv_dataset-181292303.13103 | Crystallization of piezoceramic films on glass via flash lamp annealing
physics.app-ph cond-mat.mtrl-sci
Integration of thin-film oxide piezoelectrics on glass is imperative for the
next generation of transparent electronics to attain sensing and actuating
functions. However, their crystallization temperature (abov... | arxiv topic:physics.app-ph cond-mat.mtrl-sci |
arxiv_dataset-181302303.13203 | Confidence-Driven Deep Learning Framework for Early Detection of Knee
Osteoarthritis
eess.IV cs.CV
Knee Osteoarthritis (KOA) is a prevalent musculoskeletal disorder that
severely impacts mobility and quality of life, particularly among older adults.
Its diagnosis often relies on subjective assessments using the
K... | arxiv topic:eess.IV cs.CV |
arxiv_dataset-181312303.13303 | Sample Designs and Estimators for Multimode Surveys with Face-to-Face
Data Collection
stat.ME
Survey researchers are increasingly turning to multimode data collection to
deal with declines in survey response rates and increasing costs. An efficient
approach offers the less costly modes (e.g., web) followed with a... | arxiv topic:stat.ME |
arxiv_dataset-181322303.13403 | Boosting quantum Monte Carlo and alleviating sign problem by Gutzwiller
projection
cond-mat.str-el cond-mat.stat-mech
Here we develop a new scheme of projective quantum Monte-Carlo (QMC)
simulation combining unbiased zero-temperature (projective) determinant QMC and
variational Monte-Carlo based on Gutzwiller pro... | arxiv topic:cond-mat.str-el cond-mat.stat-mech |
arxiv_dataset-181332303.13503 | LiteBIRD and CMB-S4 Sensitivities to Reheating in Plateau Models of
Inflation
hep-ph astro-ph.CO
We study the sensitivity of LiteBIRD and CMB-S4 to the reheating temperature
and the inflaton coupling in three types of plateau-potential models of
inflation, namely mutated hilltop inflation, radion gauge inflation,... | arxiv topic:hep-ph astro-ph.CO |
arxiv_dataset-181342303.13603 | An unconditional main conjecture in Iwasawa theory and applications
math.NT math.KT
We improve upon the recent keystone result of Dasgupta-Kakde on the $\Bbb
Z[G(H/F)]^-$-Fitting ideals of certain Selmer modules $Sel_S^T(H)^-$ associated
to an abelian, CM extension $H/F$ of a totally real number field $F$ and use
t... | arxiv topic:math.NT math.KT |
arxiv_dataset-181352303.13703 | End-to-End Diffusion Latent Optimization Improves Classifier Guidance
cs.CV cs.AI cs.LG
Classifier guidance -- using the gradients of an image classifier to steer
the generations of a diffusion model -- has the potential to dramatically
expand the creative control over image generation and editing. However,
current... | arxiv topic:cs.CV cs.AI cs.LG |
arxiv_dataset-181362303.13803 | MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep
Learning Clusters
cs.DC
Large-scale GPU clusters are widely-used to speed up both latency-critical
(online) and best-effort (offline) deep learning (DL) workloads. However, most
DL clusters either dedicate each GPU to one workload or share wor... | arxiv topic:cs.DC |
arxiv_dataset-181372303.13903 | Dynamic Service-Orientation for Software-Defined In-Vehicle Networks
cs.NI
Modern In-Vehicle Networks (IVNs) are composed of a large number of devices
and services linked via an Ethernet-based time-sensitive network. Communication
in future IVNs will become more dynamic as services can be updated, added, or
removed... | arxiv topic:cs.NI |
arxiv_dataset-181382303.14003 | Transthoracic super-resolution ultrasound localisation microscopy of
myocardial vasculature in patients
eess.IV eess.SP
Micro-vascular flow in the myocardium is of significant importance clinically
but remains poorly understood. Up to 25% of patients with symptoms of coronary
heart diseases have no obstructive co... | arxiv topic:eess.IV eess.SP |
arxiv_dataset-181392303.14103 | Characterizing crosstalk of superconducting transmon processors
quant-ph
Currently available quantum computing hardware based on superconducting
transmon architectures realizes networks of hundreds of qubits with the
possibility of controlled nearest-neighbor interactions. However, the inherent
noise and decoherenc... | arxiv topic:quant-ph |
arxiv_dataset-181402303.14203 | Dualities from Swampland principles
hep-th
We initiate the program of bottom-up derivation of string theory dualities
using Swampland principles. In particular, we clarify the relation between
Swampland arguments and all the string theory dualities in $d\geq9$ dimensional
supersymmetric theories. Our arguments cent... | arxiv topic:hep-th |
arxiv_dataset-181412303.14303 | Unsupervised Feature Selection to Identify Important ICD-10 Codes for
Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort
cs.LG cs.AI
The use of International Classification of Diseases (ICD) codes in healthcare
presents a challenge in selecting relevant codes as features for machine
learni... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-181422303.14403 | Centers and invariant straight lines of planar real polynomial vector
fields and its configurations
math.DS math.CA
In the paper, we first give the least upper bound formula on the number of
centers of planar real polynomial Hamiltonian vector fields.
This formula reveals that the greater the number of invarian... | arxiv topic:math.DS math.CA |
arxiv_dataset-181432303.14503 | On drawing $K_5$ minus an edge in the plane
math.CO math.GT
Let K be the graph on vertices \{1, 2, 3, 4, 5\} and all edges except (4, 5).
Let f be a general position map of K to the plane. Take the winding numbers of
the f-image of the cycle (1, 2, 3) around f(4) and around f(5). If the f-images
of non-adjacent edg... | arxiv topic:math.CO math.GT |
arxiv_dataset-181442303.14603 | A longitudinal study of the top 1% toxic Twitter profiles
cs.SI cs.CY
Toxicity is endemic to online social networks including Twitter. It follows a
Pareto like distribution where most of the toxicity is generated by a very
small number of profiles and as such, analyzing and characterizing these toxic
profiles is cr... | arxiv topic:cs.SI cs.CY |
arxiv_dataset-181452303.14703 | Exploring the Interplay Between Colorectal Cancer Subtypes Genomic
Variants and Cellular Morphology: A Deep-Learning Approach
cs.CV
Molecular subtypes of colorectal cancer (CRC) significantly influence
treatment decisions. While convolutional neural networks (CNNs) have recently
been introduced for automated CRC ... | arxiv topic:cs.CV |
arxiv_dataset-181462303.14803 | Asymmetric quantum codes on non-orientable surfaces
quant-ph
In this paper, we construct new families of asymmetric quantum surface codes
(AQSCs) over non-orientable surfaces of genus $g\geq 2$ by applying tools of
hyperbolic geometry. More precisely, we prove that if the genus $g$ of a
non-orientable surface is ev... | arxiv topic:quant-ph |
arxiv_dataset-181472303.14903 | Strong Inter-valley Electron-Phonon Coupling in Magic-Angle Twisted
Bilayer Graphene
cond-mat.mes-hall cond-mat.str-el
The unusual properties of superconductivity in magic-angle twisted bilayer
graphene (MATBG) have sparked enormous research interest. However, despite the
dedication of intensive experimental effo... | arxiv topic:cond-mat.mes-hall cond-mat.str-el |
arxiv_dataset-181482303.15003 | Pushforward of currents under Sobolev maps
math.DG math.CV math.MG
We prove that a Sobolev map from a Riemannian manifold into a complete metric
space pushes forward almost every compactly supported integral current to an
Ambrosio--Kirchheim integral current in the metric target, where "almost every"
is understood ... | arxiv topic:math.DG math.CV math.MG |
arxiv_dataset-181492303.15103 | Contrastive Learning Is Spectral Clustering On Similarity Graph
cs.LG cs.AI cs.CV
Contrastive learning is a powerful self-supervised learning method, but we
have a limited theoretical understanding of how it works and why it works. In
this paper, we prove that contrastive learning with the standard InfoNCE loss
is ... | arxiv topic:cs.LG cs.AI cs.CV |
arxiv_dataset-181502303.15203 | Transduction of Automatic Sequences and Applications
cs.FL cs.DM math.CO
We consider the implementation of the transduction of automatic sequences,
and their generalizations, in the Walnut software for solving decision problems
in combinatorics on words. We provide a number of applications, including (a)
representa... | arxiv topic:cs.FL cs.DM math.CO |
arxiv_dataset-181512303.15303 | Effect of dispersive optical phonons on the properties of Bond
Su-Schrieffer-Heeger polaron
cond-mat.str-el
We use a newly developed quantum Monte Carlo method to investigate the impact
of finite dispersion of the optical phonon mode on the properties of the bond
Su-Schrieffer-Heeger polaron in two dimensions. We... | arxiv topic:cond-mat.str-el |
arxiv_dataset-181522303.15403 | Training-free Content Injection using h-space in Diffusion Models
cs.CV
Diffusion models (DMs) synthesize high-quality images in various domains.
However, controlling their generative process is still hazy because the
intermediate variables in the process are not rigorously studied. Recently, the
bottleneck feature... | arxiv topic:cs.CV |
arxiv_dataset-181532303.15503 | Wind-Fed GRMHD Simulations of Sagittarius A*: Tilt and Alignment of Jets
and Accretion Discs, Electron Thermodynamics, and Multi-Scale Modeling of the
Rotation Measure
astro-ph.HE
Wind-fed models offer a unique way to form predictive models of the accretion
flow surrounding Sagittarius A*. We present 3D, wind-f... | arxiv topic:astro-ph.HE |
arxiv_dataset-181542303.15603 | Transverse flow under oscillating stimulation in helical square ducts
with cochlea-like geometrical curvature and torsion
physics.flu-dyn physics.bio-ph physics.med-ph
The cochlea is our fluid-filled organ of hearing with a unique spiral shape.
The physiological role of this shape remains unclear. Previous resear... | arxiv topic:physics.flu-dyn physics.bio-ph physics.med-ph |
arxiv_dataset-181552303.15703 | AD-YOLO: You Look Only Once in Training Multiple Sound Event
Localization and Detection
eess.AS
Sound event localization and detection (SELD) combines the identification of
sound events with the corresponding directions of arrival (DOA). Recently,
event-oriented track output formats have been adopted to solve thi... | arxiv topic:eess.AS |
arxiv_dataset-181562303.15803 | Vision based UAV Navigation through Narrow Passages
cs.RO
This research paper presents a novel approach for navigating a micro UAV
(Unmanned Aerial Vehicle) through narrow passages using only its onboard camera
feed and a PID control system. The proposed method uses edge detection and
homography techniques to extra... | arxiv topic:cs.RO |
arxiv_dataset-181572303.15903 | Small Black Hole Explosions
hep-th
Small black holes are a powerful tool to explore infinite distances in moduli
spaces. However, we show that in 4d theories with a scalar potential growing
fast enough at infinity, it is energetically too costly for scalars to diverge
at the core, and the small black hole puffs up ... | arxiv topic:hep-th |
arxiv_dataset-181582303.16003 | Sofic approximation sequences and sofic mean dimension
math.DS
The main purpose of this paper is to strengthen our understanding of sofic
mean dimension of two typical classes of sofic group actions. First, we study
finite group actions. We prove that sofic mean dimension of any amenable group
action does not depen... | arxiv topic:math.DS |
arxiv_dataset-181592303.16103 | Enhancing Graph Topology and Clustering Quality: A Modularity-Guided
Approach
physics.data-an
Current modularity-based community detection algorithms attempt to find
cluster memberships that maximize modularity within a fixed graph topology.
Diverging from this conventional approach, our work introduces a novel s... | arxiv topic:physics.data-an |
arxiv_dataset-181602303.16203 | Your Diffusion Model is Secretly a Zero-Shot Classifier
cs.LG cs.AI cs.CV cs.NE cs.RO
The recent wave of large-scale text-to-image diffusion models has
dramatically increased our text-based image generation abilities. These models
can generate realistic images for a staggering variety of prompts and exhibit
impress... | arxiv topic:cs.LG cs.AI cs.CV cs.NE cs.RO |
arxiv_dataset-181612303.16303 | Constant-Hop Spanners for More Geometric Intersection Graphs, with Even
Smaller Size
cs.CG
In SoCG 2022, Conroy and T\'oth presented several constructions of sparse,
low-hop spanners in geometric intersection graphs, including an $O(n\log
n)$-size 3-hop spanner for $n$ disks (or fat convex objects) in the plane, ... | arxiv topic:cs.CG |
arxiv_dataset-181622303.16403 | Recurrence recovery in heterogeneous Fermi--Pasta--Ulam--Tsingou systems
nlin.PS cond-mat.stat-mech math.DS nlin.CD
The computational investigation of Fermi, Pasta, Ulam, and Tsingou of arrays
of nonlinearly coupled oscillators has led to a wealth of studies in nonlinear
dynamics. Most studies of oscillator arrays ... | arxiv topic:nlin.PS cond-mat.stat-mech math.DS nlin.CD |
arxiv_dataset-181632303.16503 | Denoising Magnetic Resonance Spectroscopy (MRS) Data Using Stacked
Autoencoder for Improving Signal-to-Noise Ratio and Speed of MRS
physics.med-ph
Background: Magnetic resonance spectroscopy (MRS) enables non-invasive
detection and measurement of biochemicals and metabolites. However, MRS has low
signal-to-noise ... | arxiv topic:physics.med-ph |
arxiv_dataset-181642303.16603 | Federated Learning in MIMO Satellite Broadcast System
eess.SP cs.LG
Federated learning (FL) is a type of distributed machine learning at the
wireless edge that preserves the privacy of clients' data from adversaries and
even the central server. Existing federated learning approaches either use (i)
secure multiparty... | arxiv topic:eess.SP cs.LG |
arxiv_dataset-181652303.16703 | Flach system on Quaternionic Hilbert--Blumenthal surfaces and
distinguished periods
math.NT math.AG
We study arithmetic properties of certain quaternionic periods of Hilbert
modular forms arising from base change of elliptic modular forms. These periods
which we call the distinguished periods are closely related ... | arxiv topic:math.NT math.AG |
arxiv_dataset-181662303.16803 | On the sufficient conditions for the S-shaped Buckley-Leverett function
math.CA
The flux function in the Buckley-Leverett equation, that is, the function
characterizing the ratio of the relative mobility functions of the two phases,
is considered. The common conjecture stating that any convex mobilities result
in a... | arxiv topic:math.CA |
arxiv_dataset-181672303.16903 | Deep Learning-Assisted Localisation of Nanoparticles in synthetically
generated two-photon microscopy images
q-bio.QM cs.AI cs.CV eess.IV
Tracking single molecules is instrumental for quantifying the transport of
molecules and nanoparticles in biological samples, e.g., in brain drug delivery
studies. Existing int... | arxiv topic:q-bio.QM cs.AI cs.CV eess.IV |
arxiv_dataset-181682303.17003 | Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission
Exams
cs.CL cs.AI cs.LG
The present study aims to explore the capabilities of Language Models (LMs)
in tackling high-stakes multiple-choice tests, represented here by the Exame
Nacional do Ensino M\'edio (ENEM), a multidisciplinary entrance exa... | arxiv topic:cs.CL cs.AI cs.LG |
arxiv_dataset-181692303.17103 | UFOs: Just Hot Air or Something Meteor?
physics.pop-ph astro-ph.EP
For much of February 2023, the world was in panic as repeated balloon-like
unidentified flying objects (UFOs) were reported over numerous countries by
governments that often responded with military action. As a result, most of
these craft either esc... | arxiv topic:physics.pop-ph astro-ph.EP |
arxiv_dataset-181702303.17203 | Characterizing Kirkwood-Dirac nonclassicality and uncertainty diagram
based on discrete Fourier transform
quant-ph
In this paper, we investigate the Kirkwood-Dirac nonclassicality and
uncertainty diagram based on discrete Fourier transform (DFT) in a $d$
dimensional system. The uncertainty diagram of complete inc... | arxiv topic:quant-ph |
arxiv_dataset-181712303.17303 | Weak differentiability of metric space valued Sobolev maps
math.FA math.MG
We show that Sobolev maps with values in a dual Banach space can be
characterized in terms of weak derivatives in a weak* sense. Since every metric
space embeds isometrically into a dual Banach space, this implies a
characterization of metri... | arxiv topic:math.FA math.MG |
arxiv_dataset-181722303.17403 | Matrix Product Belief Propagation for reweighted stochastic dynamics
over graphs
cond-mat.stat-mech cs.SI q-bio.PE
Stochastic processes on graphs can describe a great variety of phenomena
ranging from neural activity to epidemic spreading. While many existing methods
can accurately describe typical realizations o... | arxiv topic:cond-mat.stat-mech cs.SI q-bio.PE |
arxiv_dataset-181732303.17503 | Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement
Learning
cs.AI cs.LG
We propose Pgx, a suite of board game reinforcement learning (RL)
environments written in JAX and optimized for GPU/TPU accelerators. By
leveraging JAX's auto-vectorization and parallelization over accelerators, Pgx
can effi... | arxiv topic:cs.AI cs.LG |
arxiv_dataset-181742303.17603 | NeRF-Supervised Deep Stereo
cs.CV cs.RO
We introduce a novel framework for training deep stereo networks effortlessly
and without any ground-truth. By leveraging state-of-the-art neural rendering
solutions, we generate stereo training data from image sequences collected with
a single handheld camera. On top of them... | arxiv topic:cs.CV cs.RO |
arxiv_dataset-181752303.17703 | If At First You Don't Succeed: Test Time Re-ranking for Zero-shot,
Cross-domain Retrieval
cs.CV
In this paper, we introduce a novel method for zero-shot, cross-domain image
retrieval. Our key contribution is a test-time Iterative Cluster-free
Re-ranking process that leverages gallery-gallery feature information t... | arxiv topic:cs.CV |
arxiv_dataset-181762303.17803 | Rethinking Local Perception in Lightweight Vision Transformer
cs.CV
Vision Transformers (ViTs) have been shown to be effective in various vision
tasks. However, resizing them to a mobile-friendly size leads to significant
performance degradation. Therefore, developing lightweight vision transformers
has become a cr... | arxiv topic:cs.CV |
arxiv_dataset-181772303.17903 | Crossed products as compact quantum metric spaces
math.OA math.FA
By employing the external Kasparov product, Hawkins, Skalski, White and
Zacharias constructed spectral triples on crossed product C$^\ast$-algebras by
equicontinuous actions of discrete groups. They further raised the question for
whether their const... | arxiv topic:math.OA math.FA |
arxiv_dataset-181782303.18003 | Near Optimal Colourability on Hereditary Graph Families
math.CO
In this paper, we initiate a systematic study on a new notion called near
optimal colourability which is closely related to perfect graphs and the
Lov{\'a}sz theta function. A graph family $\mathcal{G}$ is {\em near optimal
colourable} if there is a co... | arxiv topic:math.CO |
arxiv_dataset-181792303.18103 | Dataset and Baseline System for Multi-lingual Extraction and
Normalization of Temporal and Numerical Expressions
cs.CL cs.AI
Temporal and numerical expression understanding is of great importance in
many downstream Natural Language Processing (NLP) and Information Retrieval
(IR) tasks. However, much previous work... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-181802303.18203 | pySEOBNR: a software package for the next generation of
effective-one-body multipolar waveform models
gr-qc
We present pySEOBNR, a Python package for gravitational-wave (GW) modeling
developed within the effective-one-body (EOB) formalism. The package contains
an extensive framework to generate state-of-the-art i... | arxiv topic:gr-qc |
arxiv_dataset-181812304.00054 | LivePose: Online 3D Reconstruction from Monocular Video with Dynamic
Camera Poses
cs.CV
Dense 3D reconstruction from RGB images traditionally assumes static camera
pose estimates. This assumption has endured, even as recent works have
increasingly focused on real-time methods for mobile devices. However, the
assu... | arxiv topic:cs.CV |
arxiv_dataset-181822304.00154 | Hadron Structure using Continuum Schwinger Function Methods
hep-ph hep-ex hep-lat nucl-ex nucl-th
The vast bulk of visible mass emerges from nonperturbative dynamics within
quantum chromodynamics (QCD) -- the strong interaction sector of the Standard
Model. The past decade has revealed the three pillars that suppor... | arxiv topic:hep-ph hep-ex hep-lat nucl-ex nucl-th |
arxiv_dataset-181832304.00254 | DOAD: Decoupled One Stage Action Detection Network
cs.CV
Localizing people and recognizing their actions from videos is a challenging
task towards high-level video understanding. Existing methods are mostly
two-stage based, with one stage for person bounding box generation and the
other stage for action recognition... | arxiv topic:cs.CV |
arxiv_dataset-181842304.00354 | On Context Distribution Shift in Task Representation Learning for
Offline Meta RL
cs.LG cs.AI
Offline Meta Reinforcement Learning (OMRL) aims to learn transferable
knowledge from offline datasets to enhance the learning process for new target
tasks. Context-based Reinforcement Learning (RL) adopts a context encod... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-181852304.00454 | Variability of Antenna Signals From Dust Impacts
physics.space-ph astro-ph.EP astro-ph.SR physics.plasm-ph
Electric field instruments carried by spacecraft (SC) are complementary to
dedicated dust detectors by registering transient voltage perturbations caused
by impact-generated plasma. The signal waveform contain... | arxiv topic:physics.space-ph astro-ph.EP astro-ph.SR physics.plasm-ph |
arxiv_dataset-181862304.00554 | On the eigenvalues and energy of the $A_\alpha$-matrix of graphs
math.SP math.CO
For a graph $G$, the generalized adjacency matrix $A_\alpha(G)$ is the convex
combination of the diagonal matrix $D(G)$ and the adjacency matrix $A(G)$ and
is defined as $A_\alpha(G)=\alpha D(G)+(1-\alpha) A(G)$ for $0\leq \alpha \leq
... | arxiv topic:math.SP math.CO |
arxiv_dataset-181872304.00654 | Mixed additive modelling of global alien species co-invasions of plants
and insects
stat.AP
Alien species refer to non-native species introduced into an ecosystem,
potentially causing harm to the environment, economy, or human health. Presence
of confounding factors has so far prevented a comprehensive picture of... | arxiv topic:stat.AP |
arxiv_dataset-181882304.00754 | Gaussian expansion of Yukawa non-local kinetic energy functionals:
application to metal clusters
physics.chem-ph
The development of kinetic energy (KE) functionals is one of the current
challenges in density functional theory (DFT). The Yukawa non-local KE
functionals [Phys. Rev. B 103, 155127 (2021)] have been s... | arxiv topic:physics.chem-ph |
arxiv_dataset-181892304.00854 | The X-ray activity of F stars with hot Jupiters: KELT-24 versus WASP-18
astro-ph.SR astro-ph.EP astro-ph.HE
X-rays emitted by the coronae of solar-type stars are a feature present in up
to late-A types during the main sequence phase. F stars, either with or without
hot Jupiters, are usually X-ray emitters. The very... | arxiv topic:astro-ph.SR astro-ph.EP astro-ph.HE |
arxiv_dataset-181902304.00954 | AirLoc: Object-based Indoor Relocalization
cs.CV
Indoor relocalization is vital for both robotic tasks like autonomous
exploration and civil applications such as navigation with a cell phone in a
shopping mall. Some previous approaches adopt geometrical information such as
key-point features or local textures to ca... | arxiv topic:cs.CV |
arxiv_dataset-181912304.01054 | VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view
Attention for Multi-view 3D Object Detection
cs.CV
In recent years, transformer-based detectors have demonstrated remarkable
performance in 2D visual perception tasks. However, their performance in
multi-view 3D object detection remains inferior t... | arxiv topic:cs.CV |
arxiv_dataset-181922304.01154 | The shadow and gamma-ray bursts of a Schwarzschild black hole in
asymptotic safety
gr-qc hep-ph hep-th
We research on the neutrino pair annihilation
$\nu+\overline{\nu}\longrightarrow e^{-}+e^{+}$ around a massive source in
asymptotic safety. Since neutrinos and photons have the same geodesic equation
around blac... | arxiv topic:gr-qc hep-ph hep-th |
arxiv_dataset-181932304.01254 | Giant energy oscillations mediated by a quasiperiodically driven qubit
cond-mat.mes-hall quant-ph
A qubit driven by two incommensurate frequencies can mediate a quantised
average energy current in the adiabatic limit. We show that non-adiabatic
processes result in reversals of the energy current and corresponding
o... | arxiv topic:cond-mat.mes-hall quant-ph |
arxiv_dataset-181942304.01354 | Functional Knowledge Transfer with Self-supervised Representation
Learning
cs.CV
This work investigates the unexplored usability of self-supervised
representation learning in the direction of functional knowledge transfer. In
this work, functional knowledge transfer is achieved by joint optimization of
self-super... | arxiv topic:cs.CV |
arxiv_dataset-181952304.01454 | Finite-Size Corrections to Defect Energetics along One-Dimensional
Configuration Coordinate
cond-mat.mtrl-sci
Recently, effective one-dimensional configuration coordinate diagrams have
been utilized to calculate the line shapes of luminescence spectra and
non-radiative carrier capture coefficients via point defec... | arxiv topic:cond-mat.mtrl-sci |
arxiv_dataset-181962304.01554 | MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain
Adaptation on 3D Point Clouds
cs.CV cs.AI
Unsupervised domain adaptation (UDA) addresses the problem of distribution
shift between the unlabelled target domain and labelled source domain. While
the single target domain adaptation (STDA) is well s... | arxiv topic:cs.CV cs.AI |
arxiv_dataset-181972304.01654 | Matching Radial Geodesics in Two Schwarzschild Spacetimes (e.g.
Black-to-White Hole Transition) or Schwarzschild and de Sitter Spacetimes
(e.g. Interior of a Non-singular Black Hole)
gr-qc
In this article, we study the trajectory equations of the bounded radial
geodesics in the generalized black-to-white hole b... | arxiv topic:gr-qc |
arxiv_dataset-181982304.01754 | Infinite-dimensional integration and $L^2$-approximation on Hermite
spaces
math.NA cs.NA
We study integration and $L^2$-approximation of functions of infinitely many
variables in the following setting: The underlying function space is the
countably infinite tensor product of univariate Hermite spaces and the
prob... | arxiv topic:math.NA cs.NA |
arxiv_dataset-181992304.01854 | A Fully-automatic Side-scan Sonar SLAM Framework
cs.RO
Side-scan sonar (SSS) is a lightweight acoustic sensor that is frequently
deployed on autonomous underwater vehicles (AUVs) to provide high-resolution
seafloor images. However, using side-scan images to perform simultaneous
localization and mapping (SLAM) remai... | arxiv topic:cs.RO |
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