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arxiv_dataset-198002401.00444 | RIS-Enabled Integrated Sensing and Communication for 6G Systems
eess.SP
The following paper proposes a new target localization system design using an
architecture based on reconfigurable intelligent surfaces (RISs) and passive
radars (PRs) for integrated sensing and communications systems. The preamble of
the commu... | arxiv topic:eess.SP |
arxiv_dataset-198012401.00544 | A Reliable Knowledge Processing Framework for Combustion Science using
Foundation Models
cs.AI cs.LG
This research explores the integration of large language models (LLMs) into
scientific data assimilation, focusing on combustion science as a case study.
Leveraging foundational models integrated with Retrieval-Au... | arxiv topic:cs.AI cs.LG |
arxiv_dataset-198022401.00644 | DEWP: Deep Expansion Learning for Wind Power Forecasting
cs.CE
Wind is one kind of high-efficient, environmentally-friendly and
cost-effective energy source. Wind power, as one of the largest renewable
energy in the world, has been playing a more and more important role in
supplying electricity. Though growing dram... | arxiv topic:cs.CE |
arxiv_dataset-198032401.00744 | Towards Harmonization of SO(3)-Equivariance and Expressiveness: a Hybrid
Deep Learning Framework for Electronic-Structure Hamiltonian Prediction
physics.comp-ph cond-mat.mtrl-sci cs.LG
Deep learning for predicting the electronic-structure Hamiltonian of quantum
systems necessitates satisfying the covariance laws,... | arxiv topic:physics.comp-ph cond-mat.mtrl-sci cs.LG |
arxiv_dataset-198042401.00844 | The semi-analytic theory and computation of finite-depth standing water
waves
physics.flu-dyn cs.NA math.NA
We propose a Stokes expansion ansatz for finite-depth standing water waves in
two dimensions and devise a recursive algorithm to compute the expansion
coefficients. We implement the algorithm on a supercomp... | arxiv topic:physics.flu-dyn cs.NA math.NA |
arxiv_dataset-198052401.00944 | Hot electrons and electromagnetic effects in the broadband Au, Ag, and
Ag-Au nanocrystals: The UV, visible, and NIR plasmons
cond-mat.mes-hall physics.comp-ph
Energetic and optical properties of plasmonic nanocrystals strongly depend on
their sizes, shapes, and composition. Whereas using plasmonic nanoparticles i... | arxiv topic:cond-mat.mes-hall physics.comp-ph |
arxiv_dataset-198062401.01044 | Auffusion: Leveraging the Power of Diffusion and Large Language Models
for Text-to-Audio Generation
cs.SD cs.AI cs.CL eess.AS
Recent advancements in diffusion models and large language models (LLMs) have
significantly propelled the field of AIGC. Text-to-Audio (TTA), a burgeoning
AIGC application designed to gene... | arxiv topic:cs.SD cs.AI cs.CL eess.AS |
arxiv_dataset-198072401.01144 | Thermodynamic modeling using Extended UNIQUAC and COSMO-RS-ES models:
Case study of the cesium nitrate - water system over a large range of
temperatures
cond-mat.soft physics.chem-ph physics.comp-ph
A comparison of two thermodynamic models is presented using the water-cesium
nitrate system as case study. Both m... | arxiv topic:cond-mat.soft physics.chem-ph physics.comp-ph |
arxiv_dataset-198082401.01244 | Temporal Adaptive RGBT Tracking with Modality Prompt
cs.CV
RGBT tracking has been widely used in various fields such as robotics,
surveillance processing, and autonomous driving. Existing RGBT trackers fully
explore the spatial information between the template and the search region and
locate the target based on th... | arxiv topic:cs.CV |
arxiv_dataset-198092401.01344 | SD-WAN over MPLS: A Comprehensive Performance Analysis and Security with
Insights into the Future of SD-WAN
cs.CR
Software-defined wide area network (SD-WAN) enhances network traffic
management, while Multiprotocol Label Switching (MPLS) offers efficient data
transmission. This paper analyzes SD-WAN over MPLS in ... | arxiv topic:cs.CR |
arxiv_dataset-198102401.01444 | Can flamelet manifolds capture the interactions of thermo-diffusive
instabilities and turbulence in lean hydrogen flames? -- An a-priori analysis
physics.flu-dyn
Flamelet-based methods are extensively used in modeling turbulent hydrocarbon
flames. However, these models have yet to be established for (lean) premix... | arxiv topic:physics.flu-dyn |
arxiv_dataset-198112401.01544 | Collaborative Perception for Connected and Autonomous Driving:
Challenges, Possible Solutions and Opportunities
cs.CV eess.SP
Autonomous driving has attracted significant attention from both academia and
industries, which is expected to offer a safer and more efficient driving
system. However, current autonomous ... | arxiv topic:cs.CV eess.SP |
arxiv_dataset-198122401.01644 | Motion Control of Interactive Robotic Arms Based on Mixed Reality
Development
cs.RO cs.HC
Mixed Reality (MR) is constantly evolving to inspire new patterns of robot
manipulation for more advanced Human- Robot Interaction under the 4th
Industrial Revolution Paradigm. Consider that Mixed Reality aims to connect
phy... | arxiv topic:cs.RO cs.HC |
arxiv_dataset-198132401.01744 | Effective surface forces and non-coherent interfaces within the reduced
relaxed micromorphic modeling of finite-size mechanical metamaterials
physics.class-ph
This paper introduces for the first time the concepts of non-coherent
interfaces and microstructure-driven interface forces in the framework of
micromorphi... | arxiv topic:physics.class-ph |
arxiv_dataset-198142401.01844 | A critical nematic phase with pseudogap-like behavior in twisted
bilayers
cond-mat.str-el
The crystallographic restriction theorem constrains two-dimensional
nematicity to display either Ising ($Z_{2}$) or three-state-Potts ($Z_{3}$)
critical behaviors, both of which are dominated by amplitude fluctuations.
Here,... | arxiv topic:cond-mat.str-el |
arxiv_dataset-198152401.01944 | Weakened Magnetic Braking in the Exoplanet Host Star 51 Peg
astro-ph.EP astro-ph.SR
The consistently low activity level of the old solar analog 51 Peg not only
facilitated the discovery of the first hot Jupiter, but also led to the
suggestion that the star could be experiencing a magnetic grand minimum.
However, th... | arxiv topic:astro-ph.EP astro-ph.SR |
arxiv_dataset-198162401.02044 | Multi-modal vision-language model for generalizable annotation-free
pathology localization and clinical diagnosis
cs.CV
Defining pathologies automatically from medical images aids the understanding
of the emergence and progression of diseases, and such an ability is crucial in
clinical diagnostics. However, exist... | arxiv topic:cs.CV |
arxiv_dataset-198172401.02144 | The Radcliffe wave parameters from data on open star clusters
astro-ph.GA
A spectral analysis of the vertical positions and velocities of 374 open star
clusters (OSCs) was carried out. We took these OSCs from the Hunt, Reffert
catalog; they have an average age of about 10 million years, and are located on
the galac... | arxiv topic:astro-ph.GA |
arxiv_dataset-198182401.02244 | Policy-regularized Offline Multi-objective Reinforcement Learning
cs.LG cs.AI
In this paper, we aim to utilize only offline trajectory data to train a
policy for multi-objective RL. We extend the offline policy-regularized method,
a widely-adopted approach for single-objective offline RL problems, into the
multi-ob... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-198192401.02344 | Multi-Source Domain Adaptation with Transformer-based Feature Generation
for Subject-Independent EEG-based Emotion Recognition
cs.LG eess.SP
Although deep learning-based algorithms have demonstrated excellent
performance in automated emotion recognition via electroencephalogram (EEG)
signals, variations across br... | arxiv topic:cs.LG eess.SP |
arxiv_dataset-198202401.02444 | New dark matter scenarios with low energy photons and neutrinos
physics.gen-ph
In this paper, a cosmological model is considered, in which dark matter is
emitted by T-symmetric quasi-black holes distributed over galaxies. Low energy
photons and neutrinos are taken as candidates for dark matter particles. Photon
cas... | arxiv topic:physics.gen-ph |
arxiv_dataset-198212401.02544 | Hyperparameter Estimation for Sparse Bayesian Learning Models
cs.LG stat.CO
Sparse Bayesian Learning (SBL) models are extensively used in signal
processing and machine learning for promoting sparsity through hierarchical
priors. The hyperparameters in SBL models are crucial for the model's
performance, but they are... | arxiv topic:cs.LG stat.CO |
arxiv_dataset-198222401.02644 | Simple Hierarchical Planning with Diffusion
cs.LG cs.AI
Diffusion-based generative methods have proven effective in modeling
trajectories with offline datasets. However, they often face computational
challenges and can falter in generalization, especially in capturing temporal
abstractions for long-horizon tasks. T... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-198232401.02744 | MAMI: Multi-Attentional Mutual-Information for Long Sequence Neuron
Captioning
cs.AI cs.CL cs.CV
Neuron labeling is an approach to visualize the behaviour and respond of a
certain neuron to a certain pattern that activates the neuron. Neuron labeling
extract information about the features captured by certain neur... | arxiv topic:cs.AI cs.CL cs.CV |
arxiv_dataset-198242401.02844 | Towards 6G MIMO: Massive Spatial Multiplexing, Dense Arrays, and
Interplay Between Electromagnetics and Processing
cs.IT eess.SP math.IT
The increasing demand for wireless data transfer has been the driving force
behind the widespread adoption of Massive MIMO (multiple-input multiple-output)
technology in 5G. The... | arxiv topic:cs.IT eess.SP math.IT |
arxiv_dataset-198252401.02944 | An a posteriori error analysis based on equilibrated stresses for finite
element approximations of frictional contact
math.NA cs.NA
We consider the unilateral contact problem between an elastic body and a
rigid foundation in a description that includes both Tresca and Coulomb
friction conditions. For this problem... | arxiv topic:math.NA cs.NA |
arxiv_dataset-198262401.03044 | Machine learning inspired models for Hall effects in non-collinear
magnets
cond-mat.mes-hall
The anomalous Hall effect has been front and center in solid state research
and material science for over a century now, and the complex transport
phenomena in nontrivial magnetic textures have gained an increasing amount... | arxiv topic:cond-mat.mes-hall |
arxiv_dataset-198272401.03144 | Integrating Personalized Parsons Problems with Multi-Level Textual
Explanations to Scaffold Code Writing
cs.CY cs.HC
Novice programmers need to write basic code as part of the learning process,
but they often face difficulties. To assist struggling students, we recently
implemented personalized Parsons problems, ... | arxiv topic:cs.CY cs.HC |
arxiv_dataset-198282401.03244 | Artificial Intelligence for Operations Research: Revolutionizing the
Operations Research Process
math.OC cs.AI
The rapid advancement of artificial intelligence (AI) techniques has opened
up new opportunities to revolutionize various fields, including operations
research (OR). This survey paper explores the integr... | arxiv topic:math.OC cs.AI |
arxiv_dataset-198292401.03344 | Nuclear Thermo-Electric Thruster
astro-ph.IM astro-ph.EP physics.space-ph
We present a theoretical analysis of an innovative combination of a nuclear
thermal and electromagnetic (EM) thruster. Specifically, we scrutinize the
thermodynamics involved in integrating a nuclear thermal reactor with an
expansion turbine.... | arxiv topic:astro-ph.IM astro-ph.EP physics.space-ph |
arxiv_dataset-198302401.03444 | Towards a Unified Method for Network Dynamic via Adversarial Weighted
Link Prediction
cs.NI cs.SI
Network dynamic (e.g., traffic burst in data center networks and channel
fading in cellular WiFi networks) has a great impact on the performance of
communication networks (e.g., throughput, capacity, delay, and jitte... | arxiv topic:cs.NI cs.SI |
arxiv_dataset-198312401.03544 | Eulerian, Lagrangian and broad continuous solutions to a balance law
with non convex flux II
math.AP
We consider a *continuous* solution $u$ of the balance law \[
\partial_{\mathit t} u + \partial_{\mathit x} (f(u)) = g\] in one space
dimension, where the flux function $f$ is of class $C^2$ and the source term
$g... | arxiv topic:math.AP |
arxiv_dataset-198322401.03644 | Dust formation in common envelope binary interactions -- II: 3D
simulations with self-consistent dust formation
astro-ph.SR astro-ph.GA
We performed numerical simulations of the common envelope (CE) interaction
between thermally-pulsing asymptotic giant branch (AGB) stars of 1.7~\Msun and
3.7~\Msun, respectively,... | arxiv topic:astro-ph.SR astro-ph.GA |
arxiv_dataset-198332401.03744 | Transport of Intensity Phase Retrieval in the Presence of Intensity
Variations and Unknown Boundary Conditions
cond-mat.mtrl-sci
The so-called Transport of Intensity Equation (TIE) phase retrieval technique
is widely applied in light, x-ray and electron optics to reconstruct, e.g.,
refractive indices, electric an... | arxiv topic:cond-mat.mtrl-sci |
arxiv_dataset-198342401.03844 | Fully Attentional Networks with Self-emerging Token Labeling
cs.CV
Recent studies indicate that Vision Transformers (ViTs) are robust against
out-of-distribution scenarios. In particular, the Fully Attentional Network
(FAN) - a family of ViT backbones, has achieved state-of-the-art robustness. In
this paper, we rev... | arxiv topic:cs.CV |
arxiv_dataset-198352401.03944 | Diegetic Graphical User Interfaces and Intuitive Control of Assistive
Robots via Eye-gaze
cs.RO cs.SY eess.SY
Individuals with tetraplegia and similar forms of paralysis suffer physically
and emotionally due to a lack of autonomy. To help regain part of this
autonomy, assistive robotic arms have been shown to inc... | arxiv topic:cs.RO cs.SY eess.SY |
arxiv_dataset-198362401.04044 | FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency
Trade-off in Language Model Inference
cs.CL
The large number of parameters in Pretrained Language Models enhance their
performance, but also make them resource-intensive, making it challenging to
deploy them on commodity hardware like a single... | arxiv topic:cs.CL |
arxiv_dataset-198372401.04144 | Robust Calibration For Improved Weather Prediction Under Distributional
Shift
cs.LG cs.AI
In this paper, we present results on improving out-of-domain weather
prediction and uncertainty estimation as part of the \texttt{Shifts Challenge
on Robustness and Uncertainty under Real-World Distributional Shift} challeng... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-198382401.04244 | Spatio-Temporal Turbulence Mitigation: A Translational Perspective
eess.IV cs.CV
Recovering images distorted by atmospheric turbulence is a challenging
inverse problem due to the stochastic nature of turbulence. Although numerous
turbulence mitigation (TM) algorithms have been proposed, their efficiency and
general... | arxiv topic:eess.IV cs.CV |
arxiv_dataset-198392401.04344 | Optimizing the Fundamental Eigenvalue Gap of Quantum Graphs
math.SP
We study the problem of minimizing or maximizing the fundamental spectral gap
of Schr\"odinger operators on metric graphs with either a convex potential or a
``single-well'' potential on an appropriate specified subset. (In the case of
metric trees... | arxiv topic:math.SP |
arxiv_dataset-198402401.04444 | Quasi-equilibrium states and phase transitions in biological evolution
q-bio.PE
We develop a macroscopic description of the evolutionary dynamics by
following the temporal dynamics of the total Shannon entropy of sequences,
denoted by $S$, and the average Hamming distance between them, denoted by $H$.
We argue that... | arxiv topic:q-bio.PE |
arxiv_dataset-198412401.04544 | A Lefschetz fixed-point formula for noncompact fixed-point sets
math.DG math.KT math.OA
We obtain an equivariant index theorem, or Lefschetz fixed-point formula, for
isometries from complete Riemannian manifolds to themselves. The fixed-point
set of such an isometry may be noncompact. We build on techniques develop... | arxiv topic:math.DG math.KT math.OA |
arxiv_dataset-198422401.04644 | Weak antilocalization and localization in Eu$_2$Ir$_2$O$_7$ (111) thin
films by reactive solid phase epitaxy
cond-mat.str-el cond-mat.mtrl-sci
Thin films of the pyrochlore iridates along the [111] direction have drawn
significant attention to investigate exotic correlated topological phenomena.
Here, we report th... | arxiv topic:cond-mat.str-el cond-mat.mtrl-sci |
arxiv_dataset-198432401.04744 | Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian
Neural Networks
cs.ET cs.AR cs.LG
Bayesian Neural Networks (BayNNs) can inherently estimate predictive
uncertainty, facilitating informed decision-making. Dropout-based BayNNs are
increasingly implemented in spintronics-based computation-in-memory... | arxiv topic:cs.ET cs.AR cs.LG |
arxiv_dataset-198442401.04844 | Compactifications of strata of differentials
math.GT math.AG math.DS
In this informal expository note, we quickly introduce and survey
compactifications of strata of holomorphic 1-forms on Riemann surfaces, i.e.
spaces of translation surfaces. In the last decade, several of these have been
constructed, studied, and... | arxiv topic:math.GT math.AG math.DS |
arxiv_dataset-198452401.04944 | TREASUREHUNT: Transients and Variability Discovered with HST in the JWST
North Ecliptic Pole Time Domain Field
astro-ph.GA
The JWST North Ecliptic Pole (NEP) Time Domain Field (TDF) is a $>$14 arcmin
diameter field optimized for multi-wavelength time-domain science with JWST. It
has been observed across the elect... | arxiv topic:astro-ph.GA |
arxiv_dataset-198462401.05044 | Universal hard-edge statistics of non-Hermitian random matrices
cond-mat.mes-hall cond-mat.dis-nn cond-mat.stat-mech quant-ph
Random matrix theory is a powerful tool for understanding spectral
correlations inherent in quantum chaotic systems. Despite diverse applications
of non-Hermitian random matrix theory, the r... | arxiv topic:cond-mat.mes-hall cond-mat.dis-nn cond-mat.stat-mech quant-ph |
arxiv_dataset-198472401.05144 | SARA: A Collection of Sensitivity-Aware Relevance Assessments
cs.IR
Large archival collections, such as email or government documents, must be
manually reviewed to identify any sensitive information before the collection
can be released publicly. Sensitivity classification has received a lot of
attention in the lit... | arxiv topic:cs.IR |
arxiv_dataset-198482401.05244 | Reliability Analysis of Complex Systems using Subset Simulations with
Hamiltonian Neural Networks
stat.ML cs.LG stat.AP stat.CO
We present a new Subset Simulation approach using Hamiltonian neural
network-based Monte Carlo sampling for reliability analysis. The proposed
strategy combines the superior sampling of ... | arxiv topic:stat.ML cs.LG stat.AP stat.CO |
arxiv_dataset-198492401.05344 | Extraction of lattice QCD spectral densities from an ensemble of trained
machines
hep-lat
In this talk we discuss a novel method, that we have presented in Ref. [1],
to extract hadronic spectral densities from lattice correlators by using deep
learning techniques. Hadronic spectral densities play a crucial role i... | arxiv topic:hep-lat |
arxiv_dataset-198502401.05444 | Fully Spiking Actor Network with Intra-layer Connections for
Reinforcement Learning
cs.NE cs.AI cs.LG
With the help of special neuromorphic hardware, spiking neural networks
(SNNs) are expected to realize artificial intelligence (AI) with less energy
consumption. It provides a promising energy-efficient way for r... | arxiv topic:cs.NE cs.AI cs.LG |
arxiv_dataset-198512401.05544 | Enhancing Source Code Classification Effectiveness via Prompt Learning
Incorporating Knowledge Features
cs.CL cs.AI
Researchers have investigated the potential of leveraging pre-trained
language models, such as CodeBERT, to enhance source code-related tasks.
Previous methodologies have relied on CodeBERT's '[CLS]... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-198522401.05644 | Elastic scattering of supernova neutrinos with electrons in xenon
hep-ph astro-ph.HE
Neutrinos from a Galactic core collapse supernova can undergo elastic
scattering with electrons in xenon atoms in liquid xenon based dark matter
detectors giving rise to electrons of kinetic energy up to a few MeV. We
calculate the... | arxiv topic:hep-ph astro-ph.HE |
arxiv_dataset-198532401.05744 | Attention Is Not the Only Choice: Counterfactual Reasoning for
Path-Based Explainable Recommendation
cs.IR
Compared with only pursuing recommendation accuracy, the explainability of a
recommendation model has drawn more attention in recent years. Many graph-based
recommendations resort to informative paths with t... | arxiv topic:cs.IR |
arxiv_dataset-198542401.05844 | Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and
structured low-rank reconstruction
physics.med-ph eess.IV
3D multi-slab acquisitions are an appealing approach for diffusion MRI
because they are compatible with the imaging regime delivering optimal SNR
efficiency. In conventional 3D multi-sla... | arxiv topic:physics.med-ph eess.IV |
arxiv_dataset-198552401.05944 | Upside down Rayleigh-Marchenko: a practical, yet exact redatuming scheme
for seabed seismic acquisitions
physics.geo-ph
Ocean-bottom seismic plays a crucial role in resource exploration and
monitoring. However, despite its undoubted potential, the use of coarse
receiver geometries poses challenges to accurate wav... | arxiv topic:physics.geo-ph |
arxiv_dataset-198562401.06044 | Safeguarding DeFi Smart Contracts against Oracle Deviations
cs.SE
This paper presents OVer, a framework designed to automatically analyze the
behavior of decentralized finance (DeFi) protocols when subjected to a "skewed"
oracle input. OVer firstly performs symbolic analysis on the given contract and
constructs a m... | arxiv topic:cs.SE |
arxiv_dataset-198572401.06144 | DFU: scale-robust diffusion model for zero-shot super-resolution image
generation
cs.CV cs.LG
Diffusion generative models have achieved remarkable success in generating
images with a fixed resolution. However, existing models have limited ability
to generalize to different resolutions when training data at those ... | arxiv topic:cs.CV cs.LG |
arxiv_dataset-198582401.06244 | YOLO-Former: YOLO Shakes Hand With ViT
cs.CV
The proposed YOLO-Former method seamlessly integrates the ideas of
transformer and YOLOv4 to create a highly accurate and efficient object
detection system. The method leverages the fast inference speed of YOLOv4 and
incorporates the advantages of the transformer archite... | arxiv topic:cs.CV |
arxiv_dataset-198592401.06344 | Hyper-STTN: Social Group-aware Spatial-Temporal Transformer Network for
Human Trajectory Prediction with Hypergraph Reasoning
cs.CV cs.LG
Predicting crowded intents and trajectories is crucial in varouls real-world
applications, including service robots and autonomous vehicles. Understanding
environmental dynamic... | arxiv topic:cs.CV cs.LG |
arxiv_dataset-198602401.06444 | Strategies for the Integration of quantum networks for a future quantum
internet
quant-ph
The great scientific and technological advances that are being carried out in
the field of quantum communications, accompanied by large investment programs
such as EuroQCI, are driving the deployment of quantum network throu... | arxiv topic:quant-ph |
arxiv_dataset-198612401.06544 | RIS-Aided NLoS Monostatic Sensing under Mobility and Angle-Doppler
Coupling
eess.SP
We investigate the problem of reconfigurable intelligent surface (RIS)-aided
monostatic sensing of a mobile target under line-of-sight (LoS) blockage
considering a single antenna, full-duplex, and dual-functional
radar-communicati... | arxiv topic:eess.SP |
arxiv_dataset-198622401.06644 | SeizNet: An AI-enabled Implantable Sensor Network System for Seizure
Prediction
cs.LG eess.SP
In this paper, we introduce SeizNet, a closed-loop system for predicting
epileptic seizures through the use of Deep Learning (DL) method and implantable
sensor networks. While pharmacological treatment is effective for s... | arxiv topic:cs.LG eess.SP |
arxiv_dataset-198632401.06744 | Efficient Parallel Algorithms for Inpainting-Based Representations of 4K
Images -- Part I: Homogeneous Diffusion Inpainting
eess.IV cs.NA math.NA
In recent years inpainting-based compression methods have been shown to be a
viable alternative to classical codecs such as JPEG and JPEG2000. Unlike
transform-based co... | arxiv topic:eess.IV cs.NA math.NA |
arxiv_dataset-198642401.06844 | Quasi-Keplerian parametrization for eccentric compact binaries in
scalar-tensor theories at second post-Newtonian order and applications
gr-qc
The generalized post-Keplerian parametrization for compact binaries on
eccentric bound orbits is established at second post-Newtonian (2PN) order in a
class of massless sc... | arxiv topic:gr-qc |
arxiv_dataset-198652401.06944 | SL(2,Z) modular forms and Witten genus in odd dimensions
math.DG math.NT
By some SL(2, Z) modular forms introduced in [4] and [10], we construct some
modular forms over SL2(Z) and some modular forms over {\Gamma}^0(2) and
{\Gamma}_0(2) in odd dimensions. In parallel, we obtain some new cancellation
formulas for odd... | arxiv topic:math.DG math.NT |
arxiv_dataset-198662401.07044 | BP(\lambda): Online Learning via Synthetic Gradients
cs.LG
Training recurrent neural networks typically relies on backpropagation
through time (BPTT). BPTT depends on forward and backward passes to be
completed, rendering the network locked to these computations before loss
gradients are available. Recently, Jaderb... | arxiv topic:cs.LG |
arxiv_dataset-198672401.07144 | High Q-factor Fano resonances in coupled wire arrays with bulk
structural asymmetry
physics.app-ph physics.optics
In this article we characterize the macroscopic electromagnetic response of a
nested wire metamaterial with a high degree of bulk structural asymmetry. The
unit cell of the considered metamaterial con... | arxiv topic:physics.app-ph physics.optics |
arxiv_dataset-198682401.07244 | Incremental SWAP Operator for Entanglement Entropy: Application for
Exponential Observables in Quantum Monte Carlo Simulation
cond-mat.str-el
We propose a new method to efficiently compute the entanglement entropy (EE)
of quantum many-body systems. Our approach, called the incremental SWAP
operator method , combi... | arxiv topic:cond-mat.str-el |
arxiv_dataset-198692401.07344 | Robust Genomic Prediction and Heritability Estimation using Density
Power Divergence
stat.ME q-bio.GN stat.AP
This manuscript delves into the intersection of genomics and phenotypic
prediction, focusing on the statistical innovation required to navigate the
complexities introduced by noisy covariates and confound... | arxiv topic:stat.ME q-bio.GN stat.AP |
arxiv_dataset-198702401.07444 | Low-cost, Lightweight Electronic Flow Regulators for Throttling Liquid
Rocket Engines
eess.SY cs.SY
For small-scale liquid rockets, pressure-fed systems are commonly favoured
due to their simplicity and low weight. In such systems, accurate regulation of
both tank and injector pressures over a wide range of upstr... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-198712401.07544 | See the Unseen: Better Context-Consistent Knowledge-Editing by Noises
cs.CL
Knowledge-editing updates knowledge of large language models (LLMs) and
contributes to the interpretability and application of LLMs. However, knowledge
applying is context-consistent: LLMs can recall the same knowledge in different
contexts... | arxiv topic:cs.CL |
arxiv_dataset-198722401.07644 | Resource Allocation in STAR-RIS-Aided SWIPT with RSMA via Meta-Learning
cs.IT eess.SP math.IT
Simultaneously transmitting and reflecting reconfigurable intelligent surface
(STAR-RIS) is a cutting-edge concept for the sixth-generation (6G) wireless
networks. In this paper, we propose a novel system that incorporates... | arxiv topic:cs.IT eess.SP math.IT |
arxiv_dataset-198732401.07744 | Combining Machine Learning and Ontology: A Systematic Literature Review
cs.AI cs.LG
Motivated by the desire to explore the process of combining inductive and
deductive reasoning, we conducted a systematic literature review of articles
that investigate the integration of machine learning and ontologies. The
objectiv... | arxiv topic:cs.AI cs.LG |
arxiv_dataset-198742401.07844 | The ODE Method for Stochastic Approximation and Reinforcement Learning
with Markovian Noise
cs.LG cs.AI
Stochastic approximation is a class of algorithms that update a vector
iteratively, incrementally, and stochastically, including, e.g., stochastic
gradient descent and temporal difference learning. One fundamen... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-198752401.07944 | SemEval-2017 Task 4: Sentiment Analysis in Twitter using BERT
cs.CL
This paper uses the BERT model, which is a transformer-based architecture, to
solve task 4A, English Language, Sentiment Analysis in Twitter of SemEval2017.
BERT is a very powerful large language model for classification tasks when the
amount of tr... | arxiv topic:cs.CL |
arxiv_dataset-198762401.08044 | Quantum Simulations of Hadron Dynamics in the Schwinger Model using 112
Qubits
quant-ph hep-lat hep-ph nucl-th
Hadron wavepackets are prepared and time evolved in the Schwinger model using
112 qubits of IBM's 133-qubit Heron quantum computer ibm_torino. The
initialization of the hadron wavepacket is performed in ... | arxiv topic:quant-ph hep-lat hep-ph nucl-th |
arxiv_dataset-198772401.08144 | Distributed Stackelberg Equilibrium Seeking for Networked Multi-Leader
Multi-Follower Games with A Clustered Information Structure
eess.SY cs.SY
The Stackelberg game depicts a leader-follower relationship wherein decisions
are made sequentially, and the Stackelberg equilibrium represents an expected
optimal solut... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-198782401.08244 | Quenched Static force from generalized Wilson loops with gradient flow
hep-lat hep-ph hep-th nucl-th
We compute the static force on the lattice in the quenched case directly
through generalized Wilson loops. We modify the Wilson loop by inserting an
$E$-field component on one of the temporal Wilson lines. However, ... | arxiv topic:hep-lat hep-ph hep-th nucl-th |
arxiv_dataset-198792401.08344 | Large-population asymptotics for the maximum of diffusive particles with
mean-field interaction in the noises
math.PR
We study the $N \to \infty$ limit of the normalized largest component in some
systems of $N$ diffusive particles with mean-field interaction. By applying a
universal time change, the interaction i... | arxiv topic:math.PR |
arxiv_dataset-198802401.08444 | Revealing the Hidden Impact of Top-N Metrics on Optimization in
Recommender Systems
cs.IR
The hyperparameters of recommender systems for top-n predictions are
typically optimized to enhance the predictive performance of algorithms.
Thereby, the optimization algorithm, e.g., grid search or random search,
searches ... | arxiv topic:cs.IR |
arxiv_dataset-198812401.08544 | N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for
Boundary Value Problems
math.NA cs.LG cs.NA
Conventional finite element methods are known to be tedious in adaptive
refinements due to their conformal regularity requirements. Further, the
enrichment functions for adaptive refinements are of... | arxiv topic:math.NA cs.LG cs.NA |
arxiv_dataset-198822401.08644 | Fuzzy Volterra Integral Equation with Piecewise Continuous Kernel:
Theory and Numerical Solution
math.GM cs.NA math.DS math.NA
This study aims to discuss the existence and uniqueness of solution of fuzzy
Volterra integral equation with piecewise continuous kernel. Such problems
appears in many balance problems fo... | arxiv topic:math.GM cs.NA math.DS math.NA |
arxiv_dataset-198832401.08744 | Gapless Fermionic Systems as Phase-space Topological Insulators:
Non-perturbative Results from Anomalies
cond-mat.str-el cond-mat.mes-hall hep-th
We present a theory unifying the topological responses and anomalies of
various gapless fermion systems exhibiting Fermi surfaces, including those with
Berry phases, an... | arxiv topic:cond-mat.str-el cond-mat.mes-hall hep-th |
arxiv_dataset-198842401.08844 | Wind tunnel actuation movement system
eess.SY cs.SY
In this dissertation project, an actuation system was designed for the
supersonic wind tunnel at the University of Manchester. The aim of this project
is to build a remote control actuation system which could adjust the angle of
attack for the aerodynamic shape to... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-198852401.08944 | Optimal local filtering operation for enhancing quantum entanglement
quant-ph
Quantum entanglement is an indispensable resource for many significant
quantum information processing tasks. Thus, distilling more entanglement from
less entangled resource is a task of practical significance and has been
investigated for... | arxiv topic:quant-ph |
arxiv_dataset-198862401.09044 | Algorithmic amplification of biases on Google Search
cs.CY cs.HC cs.IR
The evolution of information-seeking processes, driven by search engines like
Google, has transformed the access to information people have. This paper
investigates how individuals' preexisting attitudes influence the modern
information-seeking ... | arxiv topic:cs.CY cs.HC cs.IR |
arxiv_dataset-198872401.09144 | Monitoring Machine Learning Forecasts for Platform Data Streams
stat.AP stat.ML
Data stream forecasts are essential inputs for decision making at digital
platforms. Machine learning algorithms are appealing candidates to produce such
forecasts. Yet, digital platforms require a large-scale forecast framework that
ca... | arxiv topic:stat.AP stat.ML |
arxiv_dataset-198882401.09244 | Cross-lingual Offensive Language Detection: A Systematic Review of
Datasets, Transfer Approaches and Challenges
cs.CL
The growing prevalence and rapid evolution of offensive language in social
media amplify the complexities of detection, particularly highlighting the
challenges in identifying such content across ... | arxiv topic:cs.CL |
arxiv_dataset-198892401.09344 | Strongly topologically transitive, supermixing, and hypermixing maps on
general topological spaces
math.DS
We give some basic properties of strongly topologically transitive,
supermixing, and hypermixing maps on general topological spaces. Then we
present some other results for which our mappings need to be conti... | arxiv topic:math.DS |
arxiv_dataset-198902401.09444 | Online Handbook of Argumentation for AI: Volume 4
cs.AI
This volume contains revised versions of the papers selected for the fourth
volume of the Online Handbook of Argumentation for AI (OHAAI). Previously,
formal theories of argument and argument interaction have been proposed and
studied, and this has led to the ... | arxiv topic:cs.AI |
arxiv_dataset-198912401.09544 | Hodge modules and K\"ahler morphisms
math.AG math.CV
We prove the decomposition theorem for Hodge modules with integral structure
along proper K\"ahler morphisms, partially generalizing M. Saito's theorem for
projective morphisms. Our proof relies on compactifications of period maps of
generically defined variation... | arxiv topic:math.AG math.CV |
arxiv_dataset-198922401.09644 | Total fraction of drug released from diffusion-controlled delivery
systems with binding reactions
physics.med-ph
In diffusion-controlled drug delivery, it is possible for drug molecules to
bind to the carrier material and never be released. A common way to incorporate
this phenomenon into the governing mechanisti... | arxiv topic:physics.med-ph |
arxiv_dataset-198932401.09744 | A note on weak Banach mean equicoontinuity
math.DS
Consider a topological dynamical system $(X, T)$ endowed with the metric $d$.
We introduce a novel function as $\overline{BF}(x, y) = \limsup_{n-m
\rightarrow +\infty} \inf_{\sigma \in S_{n,m}} \frac{1}{n-m} \sum_{k=m}^{n-1}
d\left(T^{k} x, T^{\sigma(k)} y\right)$,... | arxiv topic:math.DS |
arxiv_dataset-198942401.09846 | Phase structure of holographic superconductors in an
Einstein-scalar-Gauss-Bonnet theory with spontaneous scalarization
gr-qc
Holographic superconductor phase transition and spontaneous scalarization are
triggered by the instability of the underlying vacuum black hole spacetime.
Although both hairy black hole sol... | arxiv topic:gr-qc |
arxiv_dataset-198952401.09946 | Neural ODEs for holographic transport models without translation
symmetry
hep-th cond-mat.dis-nn gr-qc
We investigate the data-driven holographic transport models without
translation symmetry, focusing on the real part of frequency-dependent shear
viscosity, $\eta_{\mathrm{re}}(\omega)$. We develop a radial flow ... | arxiv topic:hep-th cond-mat.dis-nn gr-qc |
arxiv_dataset-198962401.10046 | RESURF Ga$_{2}$O$_{3}$-on-SiC Field Effect Transistors for Enhanced
Breakdown Voltage
physics.app-ph
Heterosubstrates have been extensively studied as a method to improve the
heat dissipation of Ga$_{2}$O$_{3}$ devices. In this simulation work, we
propose a novel role for $p$-type available heterosubstrates, as a... | arxiv topic:physics.app-ph |
arxiv_dataset-198972401.10146 | Approximation by perfect complexes detects Rouquier dimension
math.AG math.AC
This work explores bounds on the Rouquier dimension in the bounded derived
category of coherent sheaves on Noetherian schemes. By utilizing
approximations, we exhibit that Rouquier dimension is inherently characterized
by the number of co... | arxiv topic:math.AG math.AC |
arxiv_dataset-198982401.10246 | High-Performance Computing in Battery Development: From Pore Scale to
Continuum
cs.CE
An application for high-performance computing (HPC) is shown that is relevant
in the field of battery development. Simulations of electrolyte wetting and
flow are conducted using pore network models (PNM) and the lattice Boltzma... | arxiv topic:cs.CE |
arxiv_dataset-198992401.10346 | Solution uniqueness of convex optimization problems via the radial cone
math.OC
In this paper, we mainly study solution uniqueness of some convex
optimization problems. Our characterizations of solution uniqueness are in
terms of the radial cone. This approach allows us to know when a unique
solution is a strong so... | arxiv topic:math.OC |
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