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arxiv_dataset-185002305.16944 | Learning to Imagine: Visually-Augmented Natural Language Generation
cs.CL
People often imagine relevant scenes to aid in the writing process. In this
work, we aim to utilize visual information for composition in the same manner
as humans. We propose a method, LIVE, that makes pre-trained language models
(PLMs) Lear... | arxiv topic:cs.CL |
arxiv_dataset-185012305.17044 | Revealing the Hidden Effects of Phishing Emails: An Analysis of Eye and
Mouse Movements in Email Sorting Tasks
cs.HC
Users are the last line of defense as phishing emails pass filter mechanisms.
At the same time, phishing emails are designed so that they are challenging to
identify by users. To this end, attacker... | arxiv topic:cs.HC |
arxiv_dataset-185022305.17144 | Ghost in the Minecraft: Generally Capable Agents for Open-World
Environments via Large Language Models with Text-based Knowledge and Memory
cs.AI cs.CL cs.CV cs.LG
The captivating realm of Minecraft has attracted substantial research
interest in recent years, serving as a rich platform for developing intelligent
... | arxiv topic:cs.AI cs.CL cs.CV cs.LG |
arxiv_dataset-185032305.17244 | Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks
cs.LG
Continual learning on sequential data is critical for many machine learning
(ML) deployments. Unfortunately, LSTM networks, which are commonly used to
learn on sequential data, suffer from catastrophic forgetting and are limited
in their ab... | arxiv topic:cs.LG |
arxiv_dataset-185042305.17344 | Duration Dependence and Heterogeneity: Learning from Early Notice of
Layoff
econ.GN q-fin.EC
This paper presents a novel approach to distinguish the impact of
duration-dependent forces and adverse selection on the exit rate from
unemployment by leveraging variation in the length of layoff notices. I
formulate a M... | arxiv topic:econ.GN q-fin.EC |
arxiv_dataset-185052305.17444 | Query-Efficient Black-Box Red Teaming via Bayesian Optimization
cs.AI cs.CL cs.CR cs.LG
The deployment of large-scale generative models is often restricted by their
potential risk of causing harm to users in unpredictable ways. We focus on the
problem of black-box red teaming, where a red team generates test cases ... | arxiv topic:cs.AI cs.CL cs.CR cs.LG |
arxiv_dataset-185062305.17544 | Faster Margin Maximization Rates for Generic and Adversarially Robust
Optimization Methods
cs.LG
First-order optimization methods tend to inherently favor certain solutions
over others when minimizing an underdetermined training objective that has
multiple global optima. This phenomenon, known as implicit bias, p... | arxiv topic:cs.LG |
arxiv_dataset-185072305.17644 | Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
cs.CV
Modeling in Computer Vision has evolved to MLPs. Vision MLPs naturally lack
local modeling capability, to which the simplest treatment is combined with
convolutional layers. Convolution, famous for its sliding window scheme, also
suffers ... | arxiv topic:cs.CV |
arxiv_dataset-185082305.17744 | Heterogeneous Matrix Factorization: When Features Differ by Datasets
stat.ME
In myriad statistical applications, data are collected from related but
heterogeneous sources. These sources share some commonalities while containing
idiosyncratic characteristics. One of the most fundamental challenges in such
scenarios ... | arxiv topic:stat.ME |
arxiv_dataset-185092305.17844 | An Approximate Feasibility Assessment of Electric Vehicles Adoption in
Nigeria: Forecast 2030
eess.SY cs.SY econ.GN q-fin.EC
Efforts toward building a sustainable future have underscored the importance
of collective responsibility among state and non-state actors, corporations,
and individuals to achieve climate ... | arxiv topic:eess.SY cs.SY econ.GN q-fin.EC |
arxiv_dataset-185102305.17944 | Assessing mixed quantum-classical molecular dynamics methods for
nonadiabatic dynamics of molecules on metal surfaces
physics.chem-ph
Mixed-quantum classical (MQC) methods for simulating the dynamics of
molecules at metal surfaces have the potential to accurately and efficiently
provide mechanistic insight into r... | arxiv topic:physics.chem-ph |
arxiv_dataset-185112305.18044 | Bayesian estimation of clustered dependence structures in functional
neuroconnectivity
stat.ME stat.AP
Motivated by the need to model the dependence between regions of interest in
functional neuroconnectivity for efficient inference, we propose a new
sampling-based Bayesian clustering approach for covariance stru... | arxiv topic:stat.ME stat.AP |
arxiv_dataset-185122305.18144 | GripRank: Bridging the Gap between Retrieval and Generation via the
Generative Knowledge Improved Passage Ranking
cs.CL cs.AI
Retrieval-enhanced text generation has shown remarkable progress on
knowledge-intensive language tasks, such as open-domain question answering and
knowledge-enhanced dialogue generation, b... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-185132305.18244 | Accurate Estimation of Diffusion Coefficients and their Uncertainties
from Computer Simulation
cond-mat.stat-mech cond-mat.mtrl-sci
Self-diffusion coefficients, $D^*$, are routinely estimated from molecular
dynamics simulations by fitting a linear model to the observed mean-squared
displacements (MSDs) of mobile ... | arxiv topic:cond-mat.stat-mech cond-mat.mtrl-sci |
arxiv_dataset-185142305.18344 | The Dirac equation on metrics of Eguchi-Hanson type
math.DG gr-qc
We investigate parallel spinors on the Eguchi-Hanson metrics and find the
space of complex parallel spinors are complex 2-dimensional. For the metrics of
Eguchi-Hanson type with the zero scalar curvature, we separate variables for
the harmonic spinor... | arxiv topic:math.DG gr-qc |
arxiv_dataset-185152305.18444 | Continual Task Allocation in Meta-Policy Network via Sparse Prompting
cs.LG cs.AI
How to train a generalizable meta-policy by continually learning a sequence
of tasks? It is a natural human skill yet challenging to achieve by current
reinforcement learning: the agent is expected to quickly adapt to new tasks
(plast... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-185162305.18544 | Evidence of dynamical dark energy in a non-flat universe: current and
future observations
astro-ph.CO gr-qc
We investigate the dark energy phenomenology in an extended parameter space
where we allow the curvature density of our universe as a free-to-vary
parameter. The inclusion of the curvature density parameter... | arxiv topic:astro-ph.CO gr-qc |
arxiv_dataset-185172305.18644 | Classical and semi-classical limits in phase space
quant-ph math-ph math.MP
A semiclassical approximation is derived by using a family of wavepackets to
map arbitrary wavefunctions into phase space. If the Hamiltonian can be
approximated as linear over each individual wavepacket, as often done when
presenting Ehren... | arxiv topic:quant-ph math-ph math.MP |
arxiv_dataset-185182305.18744 | Unsupervised Massive MIMO Channel Estimation with Dual-Path
Knowledge-Aware Auto-Encoders
eess.SP
In this paper, an unsupervised deep learning framework based on dual-path
model-driven variational auto-encoders (VAE) is proposed for angle-of-arrivals
(AoAs) and channel estimation in massive MIMO systems. Specific... | arxiv topic:eess.SP |
arxiv_dataset-185192305.18844 | Forward-backward correlations with the $\Sigma$ quantity in the wounded
constituent framework at LHC energies
hep-ph hep-ex nucl-ex nucl-th
$\Sigma$ is a new correlation measure, quite recently introduced to heavy-ion
physics. This measure, defined in the independent source model as a strongly
intensive quantity,... | arxiv topic:hep-ph hep-ex nucl-ex nucl-th |
arxiv_dataset-185202305.18944 | Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE
Surrogates
physics.plasm-ph cs.CV cs.LG physics.comp-ph
Managing divertor plasmas is crucial for operating reactor scale tokamak
devices due to heat and particle flux constraints on the divertor target.
Simulation is an important tool to understand an... | arxiv topic:physics.plasm-ph cs.CV cs.LG physics.comp-ph |
arxiv_dataset-185212305.19044 | Exploring the Promise and Limits of Real-Time Recurrent Learning
cs.LG
Real-time recurrent learning (RTRL) for sequence-processing recurrent neural
networks (RNNs) offers certain conceptual advantages over backpropagation
through time (BPTT). RTRL requires neither caching past activations nor
truncating context, an... | arxiv topic:cs.LG |
arxiv_dataset-185222305.19144 | BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust
Machine Translation Evaluation
cs.CL
Although neural-based machine translation evaluation metrics, such as COMET
or BLEURT, have achieved strong correlations with human judgements, they are
sometimes unreliable in detecting certain phenomena th... | arxiv topic:cs.CL |
arxiv_dataset-185232305.19244 | Testing for the Markov Property in Time Series via Deep Conditional
Generative Learning
stat.ML cs.LG
The Markov property is widely imposed in analysis of time series data.
Correspondingly, testing the Markov property, and relatedly, inferring the
order of a Markov model, are of paramount importance. In this arti... | arxiv topic:stat.ML cs.LG |
arxiv_dataset-185242305.19344 | infoVerse: A Universal Framework for Dataset Characterization with
Multidimensional Meta-information
cs.CL
The success of NLP systems often relies on the availability of large,
high-quality datasets. However, not all samples in these datasets are equally
valuable for learning, as some may be redundant or noisy. S... | arxiv topic:cs.CL |
arxiv_dataset-185252305.19444 | Pixelated Interactions: Exploring Pixel Art for Graphical Primitives on
a Tactile Display
cs.HC
Two-dimensional pin array tactile displays enable access to tactile graphics
that are important for the education of students with visual impairments. Due
to their prohibitive cost, limited access, and limited research... | arxiv topic:cs.HC |
arxiv_dataset-185262305.19544 | A data-driven analysis on the mediation effect of compartment models
between control measures and COVID-19 epidemics
q-bio.PE physics.soc-ph
We make a retrospective review on various control measures taken by 127
countries/territories during the first wave of COVID-19 pandemic until July 7,
2020, and evaluate the... | arxiv topic:q-bio.PE physics.soc-ph |
arxiv_dataset-185272305.19644 | Composite Triggered Intermittent Control for Constrained Spacecraft
Attitude Tracking
eess.SY cs.SY
This paper focuses on the spacecraft attitude control problem with
intermittent actuator activation, taking into account the attitude rotation
rate limitation and input saturation issue simultaneously. To address t... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-185282305.19744 | Neural Markov Jump Processes
cs.LG stat.ML
Markov jump processes are continuous-time stochastic processes with a wide
range of applications in both natural and social sciences. Despite their
widespread use, inference in these models is highly non-trivial and typically
proceeds via either Monte Carlo or expectation-... | arxiv topic:cs.LG stat.ML |
arxiv_dataset-185292305.19844 | Learning Task-preferred Inference Routes for Gradient De-conflict in
Multi-output DNNs
cs.CV
Multi-output deep neural networks(MONs) contain multiple task branches, and
these tasks usually share partial network filters that lead to the entanglement
of different task inference routes. Due to the inconsistent optim... | arxiv topic:cs.CV |
arxiv_dataset-185302305.19944 | Irreducibility of eventually $2$-periodic curves in the moduli space of
cubic polynomials
math.DS math.NT
Consider the moduli space, $\mathcal{M}_{3},$ of cubic polynomials over
$\mathbb{C}$, with a marked critical point. Let $\mathscr{S}_{k,n}$ be the set
of all points in $\mathcal{M}_{3}$ for which the marked c... | arxiv topic:math.DS math.NT |
arxiv_dataset-185312305.20044 | Probabilistic Uncertainty Quantification of Prediction Models with
Application to Visual Localization
cs.RO
The uncertainty quantification of prediction models (e.g., neural networks)
is crucial for their adoption in many robotics applications. This is arguably
as important as making accurate predictions, especia... | arxiv topic:cs.RO |
arxiv_dataset-185322306.00052 | A closer look at isodoublet vector leptoquark solution to $R_{D^{(*)}}$
anomaly
hep-ph hep-ex
We discuss a model with a SU$(2)_L$ doublet vector leptoquark (LQ), motivated
by the recent experimental results relating to the lepton universality of
$\overline{B} \to D^{(*)} \tau \overline{\nu}_\tau$. We find that sc... | arxiv topic:hep-ph hep-ex |
arxiv_dataset-185332306.00152 | Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for
Semi-Supervised Learning on Multilayer Graphs
cs.LG
Clustering (or community detection) on multilayer graphs poses several
additional complications with respect to standard graphs as different layers
may be characterized by different structur... | arxiv topic:cs.LG |
arxiv_dataset-185342306.00252 | Wavefront reconstruction of discontinuous phase objects from optical
deflectometry
math.NA cs.NA physics.optics
One of the challenges in phase measuring deflectometry is to retrieve the
wavefront from objects that present discontinuities or non-differentiable
gradient fields. Here, we propose the integration of s... | arxiv topic:math.NA cs.NA physics.optics |
arxiv_dataset-185352306.00352 | Improving Energy Conserving Descent for Machine Learning: Theory and
Practice
cs.LG astro-ph.IM hep-th math.OC stat.ML
We develop the theory of Energy Conserving Descent (ECD) and introduce
ECDSep, a gradient-based optimization algorithm able to tackle convex and
non-convex optimization problems. The method is ba... | arxiv topic:cs.LG astro-ph.IM hep-th math.OC stat.ML |
arxiv_dataset-185362306.00452 | Speech Self-Supervised Representation Benchmarking: Are We Doing it
Right?
eess.AS cs.LG
Self-supervised learning (SSL) has recently allowed leveraging large datasets
of unlabeled speech signals to reach impressive performance on speech tasks
using only small amounts of annotated data. The high number of proposed... | arxiv topic:eess.AS cs.LG |
arxiv_dataset-185372306.00552 | Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local
Geometry-driven Distance Metric
cs.CV
Quantifying the dissimilarity between two unstructured 3D point clouds is a
challenging task, with existing metrics often relying on measuring the distance
between corresponding points that can be either... | arxiv topic:cs.CV |
arxiv_dataset-185382306.00652 | Explanation Graph Generation via Generative Pre-training over Synthetic
Graphs
cs.CL cs.AI
The generation of explanation graphs is a significant task that aims to
produce explanation graphs in response to user input, revealing the internal
reasoning process. This task is challenging due to the significant discrep... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-185392306.00752 | Robust covariance estimation with missing values and cell-wise
contamination
math.ST stat.TH
Large datasets are often affected by cell-wise outliers in the form of
missing or erroneous data. However, discarding any samples containing outliers
may result in a dataset that is too small to accurately estimate the co... | arxiv topic:math.ST stat.TH |
arxiv_dataset-185402306.00852 | An informational approach to uncover the age group interactions in
epidemic spreading from macro analysis
physics.soc-ph
We investigate the use of transfer entropy (TE) as a proxy to detect the
contact patterns of the population in epidemic processes. We first apply the
measure to a classical age-stratified SIR m... | arxiv topic:physics.soc-ph |
arxiv_dataset-185412306.00952 | Meta-Learning Framework for End-to-End Imposter Identification in Unseen
Speaker Recognition
eess.AS cs.LG cs.SD
Speaker identification systems are deployed in diverse environments, often
different from the lab conditions on which they are trained and tested. In this
paper, first, we show the problem of generaliz... | arxiv topic:eess.AS cs.LG cs.SD |
arxiv_dataset-185422306.01052 | On the dynamics of the line operator $\Lambda_{\{2\},\{3\}}$ on some
arrangements of six lines
math.CO math.AG math.DS
The operator $\Lambda_{\{2\},\{3\}}$ acting on line arrangements is defined
by associating to a line arrangement \mathcal{A}, the line arrangement which is
the union of the lines containing exact... | arxiv topic:math.CO math.AG math.DS |
arxiv_dataset-185432306.01152 | How Should We Support Designing Privacy-Friendly Apps for Children?
Using a Research through Design Process to Understand Developers' Needs and
Challenges
cs.HC
Mobile apps used by children often make use of harmful techniques, such as
data tracking and targeted advertising. Previous research has suggested that... | arxiv topic:cs.HC |
arxiv_dataset-185442306.01252 | Deep Learning based Skin-layer Segmentation for Characterizing Cutaneous
Wounds from Optical Coherence Tomography Images
eess.IV physics.med-ph
Optical coherence tomography (OCT) is a medical imaging modality that allows
us to probe deeper substructures of skin. The state-of-the-art wound care
prediction and moni... | arxiv topic:eess.IV physics.med-ph |
arxiv_dataset-185452306.01352 | Optimal Control and Approximate controllability of fractional semilinear
differential inclusion involving $\psi$- Hilfer fractional derivatives
math.OC math.AP
The current paper initially studies the optimal control of linear
$\psi$-Hilfer fractional derivatives with state-dependent control constraints
and optima... | arxiv topic:math.OC math.AP |
arxiv_dataset-185462306.01452 | dugMatting: Decomposed-Uncertainty-Guided Matting
cs.CV
Cutting out an object and estimating its opacity mask, known as image
matting, is a key task in image and video editing. Due to the highly ill-posed
issue, additional inputs, typically user-defined trimaps or scribbles, are
usually needed to reduce the uncerta... | arxiv topic:cs.CV |
arxiv_dataset-185472306.01552 | The shape of business cycles: a cross-country analysis of Friedman s
plucking theory
econ.GN q-fin.EC
We test the international applicability of Friedman s famous plucking theory
of the business cycle in 12 advanced economies between 1970 and 2021. We find
that in countries where labour markets are flexible (Aust... | arxiv topic:econ.GN q-fin.EC |
arxiv_dataset-185482306.01652 | On the Coverage of Cognitive mmWave Networks with Directional Sensing
and Communication
cs.IT eess.SP math.IT
Millimeter-waves' propagation characteristics create prospects for spatial
and temporal spectrum sharing in a variety of contexts, including cognitive
spectrum sharing (CSS). However, CSS along with omnid... | arxiv topic:cs.IT eess.SP math.IT |
arxiv_dataset-185492306.01752 | Handling Label Uncertainty on the Example of Automatic Detection of
Shepherd's Crook RCA in Coronary CT Angiography
eess.IV cs.CV cs.LG
Coronary artery disease (CAD) is often treated minimally invasively with a
catheter being inserted into the diseased coronary vessel. If a patient
exhibits a Shepherd's Crook (SC... | arxiv topic:eess.IV cs.CV cs.LG |
arxiv_dataset-185502306.01852 | Stability analysis of a linear system coupling wave and heat equations
with different time scales
math.AP math.OC
In this paper we consider a system coupling a wave equation with a heat
equation through its boundary conditions. The existence of a small parameter in
the heat equation, as a factor multiplying the t... | arxiv topic:math.AP math.OC |
arxiv_dataset-185512306.01952 | Online Control with Adversarial Disturbance for Continuous-time Linear
Systems
math.OC cs.SY eess.SY
We study online control for continuous-time linear systems with finite
sampling rates, where the objective is to design an online procedure that
learns under non-stochastic noise and performs comparably to a fixed... | arxiv topic:math.OC cs.SY eess.SY |
arxiv_dataset-185522306.02052 | Conflicts, Villains, Resolutions: Towards models of Narrative Media
Framing
cs.CL
Despite increasing interest in the automatic detection of media frames in
NLP, the problem is typically simplified as single-label classification and
adopts a topic-like view on frames, evading modelling the broader
document-level n... | arxiv topic:cs.CL |
arxiv_dataset-185532306.02152 | Heavy-flavor transport and hadronization in pp collisions
hep-ph hep-ex nucl-ex nucl-th
Recent experimental results on the Lambda_c/D^0 ratio in proton-proton
collisions have revealed a significant enhancement compared to expectations
based on universal fragmentation fractions/functions across different colliding
s... | arxiv topic:hep-ph hep-ex nucl-ex nucl-th |
arxiv_dataset-185542306.02252 | MoviePuzzle: Visual Narrative Reasoning through Multimodal Order
Learning
cs.CV
We introduce MoviePuzzle, a novel challenge that targets visual narrative
reasoning and holistic movie understanding. Despite the notable progress that
has been witnessed in the realm of video understanding, most prior works fail
to p... | arxiv topic:cs.CV |
arxiv_dataset-185552306.02352 | Mechanical transistors for logic-with-memory computing
physics.app-ph
As a potential revolutionary topic in future information processing,
mechanical computing has gained tremendous attention for replacing or
supplementing conventional electronics vulnerable to power outages, security
attacks, and harsh environment... | arxiv topic:physics.app-ph |
arxiv_dataset-185562306.02452 | Gaia Search for stellar Companions of TESS Objects of Interest IV
astro-ph.SR astro-ph.EP astro-ph.GA
We present the latest results of our ongoing multiplicity study of
(Community) TESS Objects of Interest, using astrometric and photometric data
from the ESA-Gaia mission to detect stellar companions of these stars ... | arxiv topic:astro-ph.SR astro-ph.EP astro-ph.GA |
arxiv_dataset-185572306.02552 | User Behavior Simulation with Large Language Model based Agents
cs.IR cs.AI
Simulating high quality user behavior data has always been a fundamental
problem in human-centered applications, where the major difficulty originates
from the intricate mechanism of human decision process. Recently, substantial
evidences h... | arxiv topic:cs.IR cs.AI |
arxiv_dataset-185582306.02652 | Towards Anytime Classification in Early-Exit Architectures by Enforcing
Conditional Monotonicity
cs.LG cs.AI stat.ML
Modern predictive models are often deployed to environments in which
computational budgets are dynamic. Anytime algorithms are well-suited to such
environments as, at any point during computation, ... | arxiv topic:cs.LG cs.AI stat.ML |
arxiv_dataset-185592306.02752 | Accelerated particle beams in a 3D simulation of the quiet Sun. Lower
atmospheric spectral diagnostics
astro-ph.SR
Nanoflare heating through small-scale magnetic reconnection events is one of
the prime candidates to explain heating of the solar corona. However, direct
signatures of nanoflares are difficult to det... | arxiv topic:astro-ph.SR |
arxiv_dataset-185602306.02852 | FAUST IX. Multi-band, multi-scale dust study of L1527 IRS. Evidence for
dust properties variations within the envelope of a Class 0/I YSO
astro-ph.SR astro-ph.EP astro-ph.GA
Early dust grain growth in protostellar envelopes infalling on young discs
has been suggested in recent studies, supporting the hypothesis t... | arxiv topic:astro-ph.SR astro-ph.EP astro-ph.GA |
arxiv_dataset-185612306.02952 | Exploiting Intraday Decompositions in Realized Volatility Forecasting: A
Forecast Reconciliation Approach
stat.ME stat.AP
We address the construction of Realized Variance (RV) forecasts by exploiting
the hierarchical structure implicit in available decompositions of RV. By using
data referred to the Dow Jones Ind... | arxiv topic:stat.ME stat.AP |
arxiv_dataset-185622306.03052 | Forecasting Crude Oil Prices Using Reservoir Computing Models
cs.LG
Accurate crude oil price prediction is crucial for financial decision-making.
We propose a novel reservoir computing model for forecasting crude oil prices.
It outperforms popular deep learning methods in most scenarios, as demonstrated
through rig... | arxiv topic:cs.LG |
arxiv_dataset-185632306.03152 | Spatial variations in aromatic hydrocarbon emission in a dust-rich
galaxy
astro-ph.GA
Dust grains absorb half of the radiation emitted by stars throughout the
history of the universe, re-emitting this energy at infrared wavelengths.
Polycyclic aromatic hydrocarbons (PAHs) are large organic molecules that trace
mi... | arxiv topic:astro-ph.GA |
arxiv_dataset-185642306.03252 | RACECAR -- The Dataset for High-Speed Autonomous Racing
cs.RO
This paper describes the first open dataset for full-scale and high-speed
autonomous racing. Multi-modal sensor data has been collected from fully
autonomous Indy race cars operating at speeds of up to 170 mph (273 kph). Six
teams who raced in the Indy A... | arxiv topic:cs.RO |
arxiv_dataset-185652306.03352 | $B^{0}-\bar{B^{0}}$ mixing in the $U(1)_X$SSM
hep-ph
$U(1)_X$SSM is a non-universal Abelian extension of the Minimal
Supersymmetric Standard Model (MSSM) and its local gauge group is extended to
$SU(3)_C\times SU(2)_L \times U(1)_Y\times U(1)_X$. Based on the latest data of
neutral meson mixing and experimental lim... | arxiv topic:hep-ph |
arxiv_dataset-185662306.03452 | Algebraic K-theory of reductive p-adic groups
math.KT math.RT
Motivated by the Farrell-Jones Conjecture for group rings, we formulate the
$\mathcal{C}$op-Farrell-Jones Conjecture for the K-theory of Hecke algebras of
td-groups. We prove this conjecture for (closed subgroups of) reductive p-adic
groups G. In particu... | arxiv topic:math.KT math.RT |
arxiv_dataset-185672306.03552 | State Regularized Policy Optimization on Data with Dynamics Shift
cs.LG cs.AI
In many real-world scenarios, Reinforcement Learning (RL) algorithms are
trained on data with dynamics shift, i.e., with different underlying
environment dynamics. A majority of current methods address such issue by
training context encod... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-185682306.03652 | Injecting knowledge into language generation: a case study in
auto-charting after-visit care instructions from medical dialogue
cs.CL
Factual correctness is often the limiting factor in practical applications of
natural language generation in high-stakes domains such as healthcare. An
essential requirement for ma... | arxiv topic:cs.CL |
arxiv_dataset-185692306.03752 | On the inviscid limit connecting Brinkman's and Darcy's models of tissue
growth with nonlinear pressure
math.AP
Several recent papers have addressed modelling of the tissue growth by the
multi-phase models where the velocity is related to the pressure by one of the
physical laws (Stoke's, Brinkman's or Darcy's). ... | arxiv topic:math.AP |
arxiv_dataset-185702306.03852 | Large effective magnetic fields from chiral phonons in rare-earth
halides
cond-mat.mtrl-sci
Time-reversal symmetry (TRS) is pivotal for materials optical, magnetic,
topological, and transport properties. Chiral phonons, characterized by atoms
rotating unidirectionally around their equilibrium positions, generate ... | arxiv topic:cond-mat.mtrl-sci |
arxiv_dataset-185712306.03952 | Effects of local incompressibility on the rheology of composite
biopolymer networks
cond-mat.soft cond-mat.stat-mech physics.bio-ph
Fibrous networks such as collagen are common in biological systems. Recent
theoretical and experimental efforts have shed light on the mechanics of single
component networks. Most re... | arxiv topic:cond-mat.soft cond-mat.stat-mech physics.bio-ph |
arxiv_dataset-185722306.04052 | Nuclear Spin-Depleted, Isotopically Enriched 70Ge/28Si70Ge Quantum Wells
cond-mat.mes-hall cond-mat.mtrl-sci physics.app-ph quant-ph
The p-symmetry of the hole wavefunction is associated with a weaker hyperfine
interaction as compared to electrons, thus making hole spin qubits attractive
candidates to implement lon... | arxiv topic:cond-mat.mes-hall cond-mat.mtrl-sci physics.app-ph quant-ph |
arxiv_dataset-185732306.04152 | A Unified One-Step Solution for Aspect Sentiment Quad Prediction
cs.AI
Aspect sentiment quad prediction (ASQP) is a challenging yet significant
subtask in aspect-based sentiment analysis as it provides a complete
aspect-level sentiment structure. However, existing ASQP datasets are usually
small and low-density, hi... | arxiv topic:cs.AI |
arxiv_dataset-185742306.04252 | Adversarial Sample Detection Through Neural Network Transport Dynamics
cs.LG
We propose a detector of adversarial samples that is based on the view of
neural networks as discrete dynamic systems. The detector tells clean inputs
from abnormal ones by comparing the discrete vector fields they follow through
the layer... | arxiv topic:cs.LG |
arxiv_dataset-185752306.04352 | Security Analysis of WG-7 Lightweight Stream Cipher against Cube Attack
cs.CR
Welch--Gong (WG) is a hardware-oriented LFSR-based stream cipher. WG-7 is a
version of the eStream submission Welch--Gong, used for RFID encryption and
authentication purposes. It offers 80-bit cryptographic security. In modern
days, almo... | arxiv topic:cs.CR |
arxiv_dataset-185762306.04452 | How to Find Opinion Leader on the Online Social Network?
cs.SI
Online social networks (OSNs) provide a platform for individuals to share
information, exchange ideas, and build social connections beyond in-person
interactions. For a specific topic or community, opinion leaders are
individuals who have a significant ... | arxiv topic:cs.SI |
arxiv_dataset-185772306.04552 | High temperature, gate-free quantum anomalous Hall effect with an active
capping layer
cond-mat.mes-hall cond-mat.mtrl-sci
Quantum anomalous Hall effect (QAHE) was discovered a decade ago, but is
still not utilized beyond a handful of research groups, due to numerous
limitations such as extremely low temperature,... | arxiv topic:cond-mat.mes-hall cond-mat.mtrl-sci |
arxiv_dataset-185782306.04652 | Language Adaptive Weight Generation for Multi-task Visual Grounding
cs.CV
Although the impressive performance in visual grounding, the prevailing
approaches usually exploit the visual backbone in a passive way, i.e., the
visual backbone extracts features with fixed weights without expression-related
hints. The pass... | arxiv topic:cs.CV |
arxiv_dataset-185792306.04752 | Data coverage, richness, and quality of OpenStreetMap for special
interest tags: wayside crosses -- a case study
cs.CY
Volunteered Geographic Information projects like OpenStreetMap which allow
accessing and using the raw data, are a treasure trove for investigations -
e.g. cultural topics, urban planning, or acc... | arxiv topic:cs.CY |
arxiv_dataset-185802306.04852 | Charge Order Evolution of Superconducting BaNi2As2 Under High Pressure
cond-mat.str-el cond-mat.supr-con
BaNi$_2$As$_2$, a non-magnetic superconductor counterpart to BaFe$_2$As$_2$,
has been shown to develop nematic order, multiple charge orders, and a dramatic
six-fold enhancement of superconductivity via isovalen... | arxiv topic:cond-mat.str-el cond-mat.supr-con |
arxiv_dataset-185812306.04952 | Entropy-based Training Methods for Scalable Neural Implicit Sampler
stat.ML cs.LG
Efficiently sampling from un-normalized target distributions is a fundamental
problem in scientific computing and machine learning. Traditional approaches
like Markov Chain Monte Carlo (MCMC) guarantee asymptotically unbiased samples
... | arxiv topic:stat.ML cs.LG |
arxiv_dataset-185822306.05052 | Interpretable Medical Diagnostics with Structured Data Extraction by
Large Language Models
cs.LG cs.AI cs.CL
Tabular data is often hidden in text, particularly in medical diagnostic
reports. Traditional machine learning (ML) models designed to work with tabular
data, cannot effectively process information in such... | arxiv topic:cs.LG cs.AI cs.CL |
arxiv_dataset-185832306.05152 | Towards Autonomous Testing Agents via Conversational Large Language
Models
cs.SE
Software testing is an important part of the development cycle, yet it
requires specialized expertise and substantial developer effort to adequately
test software. Recent discoveries of the capabilities of large language models
(LLMs... | arxiv topic:cs.SE |
arxiv_dataset-185842306.05252 | Disentangling physics and chemistry in AGB outflows: revealing
degeneracies when adding complexity
astro-ph.SR astro-ph.GA
Observations of the outflows of asymptotic giant branch (AGB) stars continue
to reveal their chemical and dynamical complexity. Spherical asymmetries, such
as spirals and disks, are prevalent... | arxiv topic:astro-ph.SR astro-ph.GA |
arxiv_dataset-185852306.05352 | How Does Mg$^{2+}_{(aq)}$ Interact with ATP$_{(aq)}$? Biomolecular
Structure through the Lens of Liquid-Jet Photoelectron Spectroscopy
physics.chem-ph
Site-specific information on how adenosine triphosphate in the aqueous phase
(ATP$_{(aq)}$) interacts with magnesium (Mg$^{2+}_{(aq)}$) is a prerequisite to
unders... | arxiv topic:physics.chem-ph |
arxiv_dataset-185862306.05452 | On the Blackbody Spectrum of Kilonovae
astro-ph.HE
The early spectra of the kilonova AT2017gfo have a remarkably smooth
blackbody continuum, which reveals information on the thermal properties and
radioactive heating within the ejecta. However, the widespread use of a
single-temperature blackbody to fit kilonova da... | arxiv topic:astro-ph.HE |
arxiv_dataset-185872306.05552 | ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text
Ambiguation to Expand Mental Health Care Delivery
cs.CL
Large language models have been useful in expanding mental health care
delivery. ChatGPT, in particular, has gained popularity for its ability to
generate human-like dialogue. However, data... | arxiv topic:cs.CL |
arxiv_dataset-185882306.05652 | Privacy Aware Question-Answering System for Online Mental Health Risk
Assessment
cs.CL cs.AI cs.HC
Social media platforms have enabled individuals suffering from mental
illnesses to share their lived experiences and find the online support
necessary to cope. However, many users fail to receive genuine clinical
su... | arxiv topic:cs.CL cs.AI cs.HC |
arxiv_dataset-185892306.05752 | From psychological traits to safety warnings: three studies on
recommendations in a smart home environment
cs.HC cs.AI
In this paper, we report on three experiments we have carried out in the
context of the EMPATHY project, with the aim of helping users make better
configuration choices in a smart home environmen... | arxiv topic:cs.HC cs.AI |
arxiv_dataset-185902306.05852 | On the relation of character codegrees and the minimal faithful
quasi-permutation representation degree of $p$-groups
math.GR math.RT
For a finite group $G$, we denote by $c(G)$, the minimal degree of faithful
representation of $G$ by quasi-permutation matrices over the complex field
$\mathbb{C}$. For an irreduci... | arxiv topic:math.GR math.RT |
arxiv_dataset-185912306.05952 | Overcoming Adversarial Attacks for Human-in-the-Loop Applications
cs.LG cs.CV
Including human analysis has the potential to positively affect the
robustness of Deep Neural Networks and is relatively unexplored in the
Adversarial Machine Learning literature. Neural network visual explanation maps
have been shown to ... | arxiv topic:cs.LG cs.CV |
arxiv_dataset-185922306.06052 | Problematic Advertising and its Disparate Exposure on Facebook
cs.CY cs.HC
Targeted advertising remains an important part of the free web browsing
experience, where advertisers' targeting and personalization algorithms
together find the most relevant audience for millions of ads every day.
However, given the wide u... | arxiv topic:cs.CY cs.HC |
arxiv_dataset-185932306.06152 | EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency
and Representation
cs.LG eess.IV
Artificial intelligence (AI) has been widely used in bioimage image analysis
nowadays, but the efficiency of AI models, like the energy consumption and
latency is not ignorable due to the growing model size a... | arxiv topic:cs.LG eess.IV |
arxiv_dataset-185942306.06252 | Feature Programming for Multivariate Time Series Prediction
cs.LG stat.ML
We introduce the concept of programmable feature engineering for time series
modeling and propose a feature programming framework. This framework generates
large amounts of predictive features for noisy multivariate time series while
allowing... | arxiv topic:cs.LG stat.ML |
arxiv_dataset-185952306.06352 | Use of Tracker software for teaching distance physics laboratories:
Demonstration of error reduction in the simple pendulum
physics.ed-ph
This study focuses on evaluating three methods used to determine the
theoretical gravity in the city of Cusco and their importance in distance
education. The first method is ba... | arxiv topic:physics.ed-ph |
arxiv_dataset-185962306.06452 | BlockTheFall: Wearable Device-based Fall Detection Framework Powered by
Machine Learning and Blockchain for Elderly Care
cs.CY cs.AI
Falls among the elderly are a major health concern, frequently resulting in
serious injuries and a reduced quality of life. In this paper, we propose
"BlockTheFall," a wearable devi... | arxiv topic:cs.CY cs.AI |
arxiv_dataset-185972306.06552 | School Bullying Results in Poor Psychological Conditions: Evidence from
a Survey of 95,545 Subjects
physics.soc-ph
To investigate whether bullying and psychological conditions are correlated,
this study analyzed a survey of primary and secondary school students from
Zigong City, Sichuan Province. A total of 95,54... | arxiv topic:physics.soc-ph |
arxiv_dataset-185982306.06652 | Audio-Visual Mandarin Electrolaryngeal Speech Voice Conversion
cs.SD eess.AS
Electrolarynx is a commonly used assistive device to help patients with
removed vocal cords regain their ability to speak. Although the electrolarynx
can generate excitation signals like the vocal cords, the naturalness and
intelligibility... | arxiv topic:cs.SD eess.AS |
arxiv_dataset-185992306.06752 | QCD with an Infrared Fixed Point -- Pion Sector
hep-ph hep-lat hep-th
The possibility that gauge theories with chiral symmetry breaking below the
conformal window exhibit an infrared fixed point is explored. With this
assumption three aspects of pion physics are reproduced if the the quark mass
anomalous dimension ... | arxiv topic:hep-ph hep-lat hep-th |
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