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arxiv_dataset-171002209.04285 | Generation of Turbulent States using Physics-Informed Neural Networks
physics.flu-dyn
When modelling turbulent flows, it is often the case that information on the
forcing terms or the boundary conditions is either not available or overly
complicated and expensive to implement. Instead, some flow features, such as
t... | arxiv topic:physics.flu-dyn |
arxiv_dataset-171012209.04385 | Cryptocurrency bubbles, the wealth effect, and non-fungible token
prices: Evidence from metaverse LAND
q-fin.GN
The rapid rise of cryptocurrency prices led to concerns (e.g. the Financial
Stability Board) that this wealth accumulation could detrimentally spill over
into other parts of the economy, but evidence is... | arxiv topic:q-fin.GN |
arxiv_dataset-171022209.04485 | Chiral spin liquids on the kagome lattice with projected entangled
simplex states
cond-mat.str-el
The infinite projected entangled simplex state (iPESS), a type of tensor
network (TN) state, has been used successfully for simulating and
characterizing {\it non-chiral} spin liquids on the kagome lattice. Here, we
... | arxiv topic:cond-mat.str-el |
arxiv_dataset-171032209.04585 | On Shifting Semicircular Roots
math.CA math.OA math.QA
In the framework of continued fraction expansions of Stieltjes transforms, we
consider shifting of semicircular laws. The continuous part of the associated
measure admits a density function which is the quotient of semicircular one by
a polynomial. We study how... | arxiv topic:math.CA math.OA math.QA |
arxiv_dataset-171042209.04685 | Systemic Risk of Optioned Portfolios: Controllability and Optimization
q-fin.PM
We investigate the portfolio selection problem against the systemic risk
which is measured by CoVaR. We first demonstrate that the systemic risk of pure
stock portfolios is essentially uncontrollable due to the contagion effect and
the ... | arxiv topic:q-fin.PM |
arxiv_dataset-171052209.04785 | Analyzing Wearables Dataset to Predict ADLs and Falls: A Pilot Study
cs.LG eess.SP
Healthcare is an important aspect of human life. Use of technologies in
healthcare has increased manifolds after the pandemic. Internet of Things based
systems and devices proposed in literature can help elders, children and adults
f... | arxiv topic:cs.LG eess.SP |
arxiv_dataset-171062209.04885 | Utopia point method based robust vector polynomial optimization scheme
math.OC
In this paper, we focus on a class of robust vector polynomial optimization
problems (RVPOP in short) without any convex assumptions. By
combining/improving the utopia point method (a nonlinear scalarization) for
vector optimization and ... | arxiv topic:math.OC |
arxiv_dataset-171072209.04985 | Full Recovery from Point Values: an Optimal Algorithm for Chebyshev
Approximability Prior
math.NA cs.NA
Given pointwise samples of an unknown function belonging to a certain model
set, one seeks in Optimal Recovery to recover this function in a way that
minimizes the worst-case error of the recovery procedure. Wh... | arxiv topic:math.NA cs.NA |
arxiv_dataset-171082209.05085 | Exploring privacy-enhancing technologies in the automotive value chain
cs.CR
Privacy-enhancing technologies (PETs) are becoming increasingly crucial for
addressing customer needs, security, privacy (e.g., enhancing anonymity and
confidentiality), and regulatory requirements. However, applying PETs in
organizations ... | arxiv topic:cs.CR |
arxiv_dataset-171092209.05185 | Open-Domain Dialog Evaluation using Follow-Ups Likelihood
cs.CL
Automatic evaluation of open-domain dialogs remains an unsolved problem.
Moreover, existing methods do not correlate strongly with human annotations.
This paper presents a new automated evaluation method using follow-ups: we
measure the probability tha... | arxiv topic:cs.CL |
arxiv_dataset-171102209.05285 | Continuous Planning for Inertial-Aided Systems
cs.RO
Inertial-aided systems require continuous motion excitation among other
reasons to characterize the measurement biases that will enable accurate
integration required for localization frameworks. This paper proposes the use
of informative path planning to find the... | arxiv topic:cs.RO |
arxiv_dataset-171112209.05385 | Direct measurement of electrocaloric effect based on multi-harmonic
lock-in thermography
cond-mat.mtrl-sci
In this study, we report on a direct measurement method for the
electrocaloric effect, the heating/cooling upon application/removal of an
electric field in dielectric materials, based on a lock-in thermograp... | arxiv topic:cond-mat.mtrl-sci |
arxiv_dataset-171122209.05485 | CustOmics: A versatile deep-learning based strategy for multi-omics
integration
q-bio.GN cs.LG
Recent advances in high-throughput sequencing technologies have enabled the
extraction of multiple features that depict patient samples at diverse and
complementary molecular levels. The generation of such data has led ... | arxiv topic:q-bio.GN cs.LG |
arxiv_dataset-171132209.05585 | Closed string theory without level-matching at the free level
hep-th
In its traditional form, the string field in closed string field theory is
constrained by the level-matching condition, which is imposed beside the
action. By analogy with the similar problem for the Ramond sector, it was
understood by Okawa and S... | arxiv topic:hep-th |
arxiv_dataset-171142209.05685 | Sparse Hanson-Wright Inequality for a Bilinear Form of Sub-Gaussian
Variables
math.ST stat.ME stat.TH
In this paper, we derive a new version of Hanson-Wright inequality for a
sparse bilinear form of sub-Gaussian variables. Our results are generalization
of previous deviation inequalities that consider either spar... | arxiv topic:math.ST stat.ME stat.TH |
arxiv_dataset-171152209.05785 | Adversarial Coreset Selection for Efficient Robust Training
cs.LG cs.CV
Neural networks are vulnerable to adversarial attacks: adding well-crafted,
imperceptible perturbations to their input can modify their output. Adversarial
training is one of the most effective approaches to training robust models
against such ... | arxiv topic:cs.LG cs.CV |
arxiv_dataset-171162209.05885 | Thermodynamics and Fluctuations in Quantum Heat Engines under Reservoir
Squeezing
quant-ph
We investigate the thermodynamics and fluctuations of a finite-time quantum
Otto engine alternatively driven by a hot squeezed and a cold thermal
reservoir. We show that reservoir squeezing significantly enhances the
perfor... | arxiv topic:quant-ph |
arxiv_dataset-171172209.05985 | Spin structures on complex projective spaces and circle actions
math.AT
It is known that the complex projective space $\mathbb{CP}^n$ admits a spin
structure if and only if $n$ is odd. In this paper, we provide another proof
that $\mathbb{CP}^{2m}$ does not admit a spin structure, by using a circle
action.
| arxiv topic:math.AT |
arxiv_dataset-171182209.06085 | Acoustic-Linguistic Features for Modeling Neurological Task Score in
Alzheimer's
cs.CE cs.CL cs.SD eess.AS
The average life expectancy is increasing globally due to advancements in
medical technology, preventive health care, and a growing emphasis on
gerontological health. Therefore, developing technologies that ... | arxiv topic:cs.CE cs.CL cs.SD eess.AS |
arxiv_dataset-171192209.06185 | HistoPerm: A Permutation-Based View Generation Approach for Improving
Histopathologic Feature Representation Learning
cs.CV
Deep learning has been effective for histology image analysis in digital
pathology. However, many current deep learning approaches require large,
strongly- or weakly-labeled images and regio... | arxiv topic:cs.CV |
arxiv_dataset-171202209.06285 | Warm Start Active Learning with Proxy Labels \& Selection via
Semi-Supervised Fine-Tuning
cs.CV
Which volume to annotate next is a challenging problem in building medical
imaging datasets for deep learning. One of the promising methods to approach
this question is active learning (AL). However, AL has been a hard... | arxiv topic:cs.CV |
arxiv_dataset-171212209.06385 | Spline-Like Wavelet Filterbanks with Perfect Reconstruction on Arbitrary
Graphs
eess.SP
In this work, we propose a class of spline-like wavelet filterbanks for graph
signals. These filterbanks possess the properties of critical sampling and
perfect reconstruction. Besides, the analysis filters are localized in th... | arxiv topic:eess.SP |
arxiv_dataset-171222209.06485 | Computing XVA for American basket derivatives by Machine Learning
techniques
q-fin.CP
Total value adjustment (XVA) is the change in value to be added to the price
of a derivative to account for the bilateral default risk and the funding
costs. In this paper, we compute such a premium for American basket derivativ... | arxiv topic:q-fin.CP |
arxiv_dataset-171232209.06585 | Combining Metric Learning and Attention Heads For Accurate and Efficient
Multilabel Image Classification
cs.CV
Multi-label image classification allows predicting a set of labels from a
given image. Unlike multiclass classification, where only one label per image
is assigned, such a setup is applicable for a broad... | arxiv topic:cs.CV |
arxiv_dataset-171242209.06685 | Relativistic Topological Waves from Cherenkov and Doppler Resonances in
Self-Magnetized Laser Plasmas
physics.plasm-ph
Strong magnetic fields at plasma-plasma interfaces can be naturally produced
in laser-plasma interactions. Using theoretical analysis and fully
three-dimensional particle-in-cell simulations, we ... | arxiv topic:physics.plasm-ph |
arxiv_dataset-171252209.06785 | A topological proof that there is no sign problem in one dimensional
Path Integral Monte Carlo simulation of fermions
cond-mat.quant-gas
This work shows that, in one dimension, due to its topology, a closed-loop
product of short-time propagators is always positive, despite the fact that
each anti-symmetric free f... | arxiv topic:cond-mat.quant-gas |
arxiv_dataset-171262209.06885 | Comparing Be Star Inclination Angles Determined from H$\alpha$ Fitting
and Gravitational Darkening
astro-ph.SR
Using a sample of 92 Galactic Be stars, we compare inclination angles (the
angle between a star's rotation axis and the line-of-sight) determined from
H$\alpha$ emission line profile fitting to those det... | arxiv topic:astro-ph.SR |
arxiv_dataset-171272209.06985 | Clinical Utility Gains from Incorporating Comorbidity and Geographic
Location Information into Risk Estimation Equations for Atherosclerotic
Cardiovascular Disease
stat.AP
Objective: There are several efforts to re-learn the 2013 ACC/AHA pooled
cohort equations (PCE) for patients with specific comorbidities and... | arxiv topic:stat.AP |
arxiv_dataset-171282209.07085 | Peculiar effect of sample size in layered superconductors
cond-mat.supr-con cond-mat.str-el
We discuss an analytical model to calculate the superconducting volume ratio.
Apart from this, our model can also predict the shape of embedded
superconducting domains. We applied our model to calculate the superconducting
v... | arxiv topic:cond-mat.supr-con cond-mat.str-el |
arxiv_dataset-171292209.07185 | Progress on the simulation tools for the SOXS spectrograph: Exposure
time calculator and End-to-End simulator
astro-ph.IM
We present the progresses of the simulation tools, the Exposure Time
Calculator (ETC) and End-to-End simulator (E2E), for the Son Of X-Shooter
(SOXS) instrument at the ESO-NTT 3.58-meter teles... | arxiv topic:astro-ph.IM |
arxiv_dataset-171302209.07285 | Evaluating approaches to identifying research supporting the United
Nations Sustainable Development Goals
cs.DL
The United Nations (UN) Sustainable Development Goals (SDGs) challenge the
global community to build a world where no one is left behind. Recognizing that
research plays a fundamental part in supporting... | arxiv topic:cs.DL |
arxiv_dataset-171312209.07385 | Resilient Communication Scheme for Distributed Decision of
InterconnectingNetworks of Microgrids
eess.SY cs.SY
Networking of microgrids can provide the operational flexibility needed for
the increasing number of DERs deployed at the distribution level and supporting
end-use demand when there is loss of the bulk p... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-171322209.07485 | Some arithmetical properties of convergents to algebraic numbers
math.NT
Let $\xi$ be an irrational algebraic real number and $(p_k / q_k)_{k \ge 1}$
denote the sequence of its convergents. Let $(u_n)_{n \geq 1}$ be a
non-degenerate linear recurrence sequence of integers, which is not a
polynomial sequence. We show... | arxiv topic:math.NT |
arxiv_dataset-171332209.07585 | Improved fMRI-based Pain Prediction using Bayesian Group-wise Functional
Registration
stat.AP stat.ME
In recent years, neuroimaging has undergone a paradigm shift, moving away
from the traditional brain mapping approach toward developing integrated,
multivariate brain models that can predict categories of mental ... | arxiv topic:stat.AP stat.ME |
arxiv_dataset-171342209.07685 | Neural Koopman Control Barrier Functions for Safety-Critical Control of
Unknown Nonlinear Systems
eess.SY cs.SY
We consider the problem of synthesis of safe controllers for nonlinear
systems with unknown dynamics using Control Barrier Functions (CBF). We utilize
Koopman operator theory (KOT) to associate the (unk... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-171352209.07785 | Radiation Hardness of a Wide Spectral Range SiPM with Quasi-Spherical
Junction
physics.ins-det
New pixel geometries are on the rise to achieve high sensitivity in
near-infrared wavelengths with silicon photomultipliers (SiPMs). We test
prototypes of the tip avalanche photo-diodes, which feature a quasi-spherical
... | arxiv topic:physics.ins-det |
arxiv_dataset-171362209.07885 | Probing the Galactic halo with RR Lyrae stars $-$ III. The chemical and
kinematic properties of the stellar halo
astro-ph.GA
Based on a large spectroscopic sample of $\sim$ 4,300 RR Lyrae stars with
metallicity, systemic radial velocity and distance measurements, we present a
detailed analysis of the chemical and... | arxiv topic:astro-ph.GA |
arxiv_dataset-171372209.07985 | Designing the Model Predictive Control for Interval Type-2 Fuzzy T-S
Systems Involving Unknown Time-Varying Delay in Both States and Input Vector
eess.SY cs.SY
In this paper, the model predictive control is designed for an interval
type-2 Takagi-Sugeno (T-S) system with unknown time-varying delay in state and
inp... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-171382209.08085 | An effective estimate on Betti numbers
math.DG
We provide an effective estimate on the Betti numbers of the loop space of a
compact manifold which admits a finite Grauert tube. It implies the polynomial
estimate in \cite{Chen} after taking the radius of the tube to infinity.
| arxiv topic:math.DG |
arxiv_dataset-171392209.08185 | LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots
using Knowledge-based Neural Ordinary Differential Equations
cs.RO cs.LG cs.SY eess.SY
State estimation is an important aspect in many robotics applications. In
this work, we consider the task of obtaining accurate state estimates for
robotic sys... | arxiv topic:cs.RO cs.LG cs.SY eess.SY |
arxiv_dataset-171402209.08285 | FR: Folded Rationalization with a Unified Encoder
cs.LG cs.CL
Conventional works generally employ a two-phase model in which a generator
selects the most important pieces, followed by a predictor that makes
predictions based on the selected pieces. However, such a two-phase model may
incur the degeneration problem ... | arxiv topic:cs.LG cs.CL |
arxiv_dataset-171412209.08385 | langcc: A Next-Generation Compiler Compiler
cs.PL cs.FL
Traditionally, parsing has been a laborious and error-prone component of
compiler development, and most parsers for full industrial programming
languages are still written by hand. The author [Zim22] shows that automatic
parser generation can be practical, via... | arxiv topic:cs.PL cs.FL |
arxiv_dataset-171422209.08485 | Weighted maxima and sums of non-stationary random length sequences in
heavy-tailed models
math.ST math.PR stat.TH
The sums and maxima of weighted non-stationary random length sequences of
regularly varying random variables may have the same tail and extremal indices,
Markovich and Rodionov (2020).
The main cons... | arxiv topic:math.ST math.PR stat.TH |
arxiv_dataset-171432209.08585 | Primordial black holes and gravitational waves in teleparallel Gravity
gr-qc hep-th
In this paper, we consider the possible effect of the teleparallel gravity on
the production of the primordial black holes (PBH) and on the gravitational
waves (GWs). We investigate the relationship between the slow roll, the e-fold... | arxiv topic:gr-qc hep-th |
arxiv_dataset-171442209.08685 | Meta-simulation for the Automated Design of Synthetic Overhead Imagery
cs.CV
The use of synthetic (or simulated) data for training machine learning models
has grown rapidly in recent years. Synthetic data can often be generated much
faster and more cheaply than its real-world counterpart. One challenge of using
syn... | arxiv topic:cs.CV |
arxiv_dataset-171452209.08785 | A Robust Distributed Model Predictive Control Framework for Consensus of
Multi-Agent Systems with Input Constraints and Varying Delays
eess.SY cs.SY
This paper studies the consensus problem of general linear discrete-time
multi-agent systems (MAS) with input constraints and bounded time-varying
communication dela... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-171462209.08885 | Causal Effect Estimation with Global Probabilistic Forecasting: A Case
Study of the Impact of Covid-19 Lockdowns on Energy Demand
cs.LG cs.AI econ.EM
The electricity industry is heavily implementing smart grid technologies to
improve reliability, availability, security, and efficiency. This
implementation needs t... | arxiv topic:cs.LG cs.AI econ.EM |
arxiv_dataset-171472209.08985 | On concavity of TAP free energy in the SK model
math.PR
We analyse the Hessian of the Thouless-Anderson-Palmer (TAP) free energy for
the Sherrington-Kirkpatrick model, below the de Almeida-Thouless line,
evaluated in Bolthausen's approximate solutions of the TAP equations. We show
that the empirical spectral distri... | arxiv topic:math.PR |
arxiv_dataset-171482209.09085 | Extracting nuclear matter properties from the neutron star matter
equation of state using deep neural networks
nucl-th astro-ph.HE hep-ph
The extraction of the nuclear matter properties from neutron star (NS)
observations is nowadays an important issue, in particular, the properties that
characterize the symmetry... | arxiv topic:nucl-th astro-ph.HE hep-ph |
arxiv_dataset-171492209.09185 | Active Inference for Autonomous Decision-Making with Contextual
Multi-Armed Bandits
cs.RO cs.LG
In autonomous robotic decision-making under uncertainty, the tradeoff between
exploitation and exploration of available options must be considered. If
secondary information associated with options can be utilized, such... | arxiv topic:cs.RO cs.LG |
arxiv_dataset-171502209.09285 | Bright and dark solitons in the systems with strong light-matter
coupling: exact solutions and numerical simulations
nlin.PS physics.optics
We theoretically study bright and dark solitons in an experimentally relevant
hybrid system characterized by strong light-matter coupling. We find that the
corresponding two-... | arxiv topic:nlin.PS physics.optics |
arxiv_dataset-171512209.09385 | LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception
cs.CV
LiDAR-based 3D object detection, semantic segmentation, and panoptic
segmentation are usually implemented in specialized networks with distinctive
architectures that are difficult to adapt to each other. This paper presents
LidarMultiNet... | arxiv topic:cs.CV |
arxiv_dataset-171522209.09485 | Generalizing through Forgetting -- Domain Generalization for Symptom
Event Extraction in Clinical Notes
cs.CL
Symptom information is primarily documented in free-text clinical notes and
is not directly accessible for downstream applications. To address this
challenge, information extraction approaches that can ha... | arxiv topic:cs.CL |
arxiv_dataset-171532209.09585 | On the $ R_{K} $ Theory Error
hep-ph hep-ex
To quantify the theory error on $R_K$, essentially means to quantify the
uncertainty due to QED corrections since the latter breaks lepton flavour
universality through the lepton masses. Since experiment uses photon shower
programs, e.g. \texttt{PHOTOS}, to capture QED ef... | arxiv topic:hep-ph hep-ex |
arxiv_dataset-171542209.09685 | Does the fraction of dark matter diminish with early dark energy?
astro-ph.CO gr-qc hep-th
In pre-recombination early dark energy (EDE) resolutions of the Hubble
tension, the rise of Hubble constant value $H_0$ is usually accompanied with
the exacerbation of so-called $S_8$ tension. Inspired by the swampland
conjec... | arxiv topic:astro-ph.CO gr-qc hep-th |
arxiv_dataset-171552209.09785 | Gamma-ray observations of MAXI J1820+070 during the 2018 outburst
astro-ph.HE
MAXI J1820+070 is a low-mass X-ray binary with a black hole as a compact
object. This binary underwent an exceptionally bright X-ray outburst from March
to October 2018, showing evidence of a non-thermal particle population through
its ra... | arxiv topic:astro-ph.HE |
arxiv_dataset-171562209.09885 | Calculating interface transport parameters at finite temperatures:
Nonmagnetic interfaces
cond-mat.mes-hall
First-principles scattering calculations are used to investigate spin
transport through interfaces between diffusive nonmagnetic metals where the
symmetry lowering leads to an enhancement of the effect of s... | arxiv topic:cond-mat.mes-hall |
arxiv_dataset-171572209.09985 | A Survey of CO, CO2, and H2O in Comets and Centaurs
astro-ph.EP
CO and CO$_2$ are the two dominant carbon-bearing molecules in comae and have
major roles in driving activity. Their relative abundances also provide strong
observational constraints to models of solar system formation and evolution but
have never been... | arxiv topic:astro-ph.EP |
arxiv_dataset-171582209.10085 | Joint PMD Tracking and Nonlinearity Compensation with Deep Neural
Networks
eess.SP
Overcoming fiber nonlinearity is one of the core challenges limiting the
capacity of optical fiber communication systems. Machine learning based
solutions such as learned digital backpropagation (LDBP) and the recently
proposed dee... | arxiv topic:eess.SP |
arxiv_dataset-171592209.10185 | D-InLoc++: Indoor Localization in Dynamic Environments
cs.CV
Most state-of-the-art localization algorithms rely on robust relative pose
estimation and geometry verification to obtain moving object agnostic camera
poses in complex indoor environments. However, this approach is prone to
mistakes if a scene contains r... | arxiv topic:cs.CV |
arxiv_dataset-171602209.10285 | AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen
Environment via Domain Generalization
cs.CV cs.HC
WiFi-based smart human sensing technology enabled by Channel State
Information (CSI) has received great attention in recent years. However,
CSI-based sensing systems suffer from performance d... | arxiv topic:cs.CV cs.HC |
arxiv_dataset-171612209.10385 | Long-Lived Accurate Keypoints in Event Streams
cs.CV
We present a novel end-to-end approach to keypoint detection and tracking in
an event stream that provides better precision and much longer keypoint tracks
than previous methods. This is made possible by two contributions working
together.
First, we propose a s... | arxiv topic:cs.CV |
arxiv_dataset-171622209.10485 | Towards a Standardised Performance Evaluation Protocol for Cooperative
MARL
cs.LG cs.AI cs.GL cs.MA
Multi-agent reinforcement learning (MARL) has emerged as a useful approach to
solving decentralised decision-making problems at scale. Research in the field
has been growing steadily with many breakthrough algorith... | arxiv topic:cs.LG cs.AI cs.GL cs.MA |
arxiv_dataset-171632209.10585 | Grape Cold Hardiness Prediction via Multi-Task Learning
cs.LG
Cold temperatures during fall and spring have the potential to cause frost
damage to grapevines and other fruit plants, which can significantly decrease
harvest yields. To help prevent these losses, farmers deploy expensive frost
mitigation measures such... | arxiv topic:cs.LG |
arxiv_dataset-171642209.10685 | A cubic algorithm for computing the Hermite normal form of a nonsingular
integer matrix
cs.DS cs.SC
A Las Vegas randomized algorithm is given to compute the Hermite normal form
of a nonsingular integer matrix $A$ of dimension $n$. The algorithm uses
quadratic integer multiplication and cubic matrix multiplication... | arxiv topic:cs.DS cs.SC |
arxiv_dataset-171652209.10785 | Deep Lake: a Lakehouse for Deep Learning
cs.DC cs.AI cs.CV cs.DB
Traditional data lakes provide critical data infrastructure for analytical
workloads by enabling time travel, running SQL queries, ingesting data with
ACID transactions, and visualizing petabyte-scale datasets on cloud storage.
They allow organization... | arxiv topic:cs.DC cs.AI cs.CV cs.DB |
arxiv_dataset-171662209.10885 | Molecular-Beam Spectroscopy with an Infinite Interferometer:
Spectroscopic Resolution and Accuracy
physics.optics physics.chem-ph
An interferometer with effectively infinite maximum optical path difference
removes the dominant resolution limitation for interferometric spectroscopy. We
present mass-correlated rota... | arxiv topic:physics.optics physics.chem-ph |
arxiv_dataset-171672209.10985 | Investigating shock wave propagation, evolution, and anisotropy using a
moving window concurrent atomistic-continuum framework
cond-mat.mtrl-sci
Despite their success in microscale modeling of materials, atomistic methods
are still limited by short time scales, small domain sizes, and high strain
rates. Multiscal... | arxiv topic:cond-mat.mtrl-sci |
arxiv_dataset-171682209.11085 | Field-tunable Berezinskii-Kosterlitz-Thouless correlations in a
Heisenberg magnet
cond-mat.str-el
We report the manifestation of field-induced Berezinskii-Kosterlitz-Thouless
(BKT) correlations in the weakly coupled spin-1/2 Heisenberg layers of the
molecular-based bulk material [Cu(pz)$_2$(2-HOpy)$_2$](PF$_6$)$_... | arxiv topic:cond-mat.str-el |
arxiv_dataset-171692209.11185 | The Role of High Energy Photoelectrons on the Dissociation of Molecular
Nitrogen in Earth's Ionosphere
physics.chem-ph astro-ph.EP physics.ao-ph
Soft x-ray radiation from the sun is responsible for the production of high
energy photoelectrons in the D and E regions of the ionosphere, where they
deposit most of th... | arxiv topic:physics.chem-ph astro-ph.EP physics.ao-ph |
arxiv_dataset-171702209.11285 | B\'ezier interpolation improves the inference of dynamical models from
data
physics.data-an cond-mat.stat-mech q-bio.QM
Many dynamical systems, from quantum many-body systems to evolving
populations to financial markets, are described by stochastic processes.
Parameters characterizing such processes can often be ... | arxiv topic:physics.data-an cond-mat.stat-mech q-bio.QM |
arxiv_dataset-171712209.11385 | Quench Dynamics of Anyon Tonks-Girardeau Gases
cond-mat.quant-gas cond-mat.stat-mech
We investigate the dynamical evolution of strongly interacting anyons
confined in a weak harmonic trap using the exact anyon-fermion mapping method.
The density profiles, momentum distribution, and the reduced one-body density
matr... | arxiv topic:cond-mat.quant-gas cond-mat.stat-mech |
arxiv_dataset-171722209.11485 | Optimal Job Scheduling and Bandwidth Augmentation in Hybrid Data Center
Networks
cs.DC cs.SY eess.SY math.OC
Optimizing data transfers is critical for improving job performance in
data-parallel frameworks. In the hybrid data center with both wired and
wireless links, reconfigurable wireless links can provide addi... | arxiv topic:cs.DC cs.SY eess.SY math.OC |
arxiv_dataset-171732209.11585 | Synthetic Voice Spoofing Detection Based On Online Hard Example Mining
cs.SD eess.AS
The automatic speaker verification spoofing (ASVspoof) challenge series is
crucial for enhancing the spoofing consideration and the countermeasures
growth. Although the recent ASVspoof 2019 validation results indicate the
significa... | arxiv topic:cs.SD eess.AS |
arxiv_dataset-171742209.11685 | Opportunities for Technosignature Science in the Planetary Science and
Astrobiology Decadal Survey
astro-ph.IM astro-ph.EP physics.pop-ph
Solar system exploration provides numerous possibilities for advancing
technosignature science. The search for life in the solar system includes
missions designed to search for... | arxiv topic:astro-ph.IM astro-ph.EP physics.pop-ph |
arxiv_dataset-171752209.11785 | Tiered Pruning for Efficient Differentialble Inference-Aware Neural
Architecture Search
cs.LG
We propose three novel pruning techniques to improve the cost and results of
inference-aware Differentiable Neural Architecture Search (DNAS). First, we
introduce Prunode, a stochastic bi-path building block for DNAS, wh... | arxiv topic:cs.LG |
arxiv_dataset-171762209.11885 | Physics-Informed Graph Neural Network for Spatial-temporal Production
Forecasting
cs.LG physics.app-ph
Production forecast based on historical data provides essential value for
developing hydrocarbon resources. Classic history matching workflow is often
computationally intense and geometry-dependent. Analytical d... | arxiv topic:cs.LG physics.app-ph |
arxiv_dataset-171772209.11985 | Quasi-optimal error estimates for the approximation of stable harmonic
maps
math.NA cs.NA
Based on a quantitative version of the inverse function theorem and an
appropriate saddle-point formulation we derive a quasi-optimal error estimate
for the finite element approximation of harmonic maps into spheres with a n... | arxiv topic:math.NA cs.NA |
arxiv_dataset-171782209.12085 | Enumerative geometry of Legendrian foliations: a Tale of Contact
math.AG
A contact distribution on projective three-space is defined by the 1-form
$x_2dx_1-x_1dx_2+x_4dx_3-x_3dx_4$, up to a change of projective coordinates.
The family of contact distributions is parameterized by the complement of the
Pfaff-Pl\"ucke... | arxiv topic:math.AG |
arxiv_dataset-171792209.12185 | Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs
cs.LO
The dramatic improvements in combinatorial optimization algorithms over the
last decades have had a major impact in artificial intelligence, operations
research, and beyond, but the output of current state-of-the-art solvers is
often hard to ... | arxiv topic:cs.LO |
arxiv_dataset-171802209.12285 | Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
cs.RO
We develop a resilient binary hypothesis testing framework for decision
making in adversarial multi-robot crowdsensing tasks. This framework exploits
stochastic trust observations between robots to arrive at tractable, resilient
decision ... | arxiv topic:cs.RO |
arxiv_dataset-171812209.12385 | Rerandomization and covariate adjustment in split-plot designs
stat.ME math.ST stat.TH
The split-plot design arises from agricultural sciences with experimental
units, also known as subplots, nested within groups known as whole plots. It
assigns the whole-plot intervention by a cluster randomization at the
whole-pl... | arxiv topic:stat.ME math.ST stat.TH |
arxiv_dataset-171822209.12485 | On Projections to Linear Subspaces
cs.LG stat.ML
The merit of projecting data onto linear subspaces is well known from, e.g.,
dimension reduction. One key aspect of subspace projections, the maximum
preservation of variance (principal component analysis), has been thoroughly
researched and the effect of random line... | arxiv topic:cs.LG stat.ML |
arxiv_dataset-171832209.12585 | A super-linear "radio-AGN main sequence'' links mean radio-AGN power and
galaxy stellar mass since z$\sim$3
astro-ph.GA
Mapping the average AGN luminosity across galaxy populations and over time
encapsulates important clues on the interplay between supermassive black hole
(SMBH) and galaxy growth. This paper pres... | arxiv topic:astro-ph.GA |
arxiv_dataset-171842209.12685 | A Reciprocal Heuristic Model for Diffuse Scattering from Walls and
Surfaces
eess.SP physics.class-ph physics.optics
Diffuse scattering of electromagnetic waves from natural and artificial
surfaces has been extensively studied in various disciplines, including radio
wave propagation, and several diffuse scattering... | arxiv topic:eess.SP physics.class-ph physics.optics |
arxiv_dataset-171852209.12785 | Outage Performance of Cross-Packet HARQ
cs.IT math.IT
As opposed to hybrid automatic repeat request with incremental redundancy
(HARQ-IR) that all the resources are occupied to resend the redundant
information, cross-packet HARQ (XP-HARQ) allows the introduction of new
information into retransmissions to substantia... | arxiv topic:cs.IT math.IT |
arxiv_dataset-171862209.12885 | Neural variance reduction for stochastic differential equations
math.NA cs.NA math.PR q-fin.CP
Variance reduction techniques are of crucial importance for the efficiency of
Monte Carlo simulations in finance applications. We propose the use of neural
SDEs, with control variates parameterized by neural networks, in ... | arxiv topic:math.NA cs.NA math.PR q-fin.CP |
arxiv_dataset-171872209.12985 | A Bibliometrics Analysis on 28 years of Authentication and Threat Model
Area
cs.CR
The large volume of publications in any research area can make it difficult
for researchers to track their research areas' trends, challenges, and
characteristics. Bibliometrics solves this problem by bringing statistical
tools to ... | arxiv topic:cs.CR |
arxiv_dataset-171882209.13085 | Defining and Characterizing Reward Hacking
cs.LG stat.ML
We provide the first formal definition of reward hacking, a phenomenon where
optimizing an imperfect proxy reward function leads to poor performance
according to the true reward function. We say that a proxy is unhackable if
increasing the expected proxy retu... | arxiv topic:cs.LG stat.ML |
arxiv_dataset-171892209.13185 | Penetrative convection in nocturnal atmospheric boundary layer and
radiation fog
physics.ao-ph physics.flu-dyn physics.geo-ph
After the sunset, under calm and clear sky conditions, aerosol laden surface
air-layer, cools radiatively to the upper atmosphere. Predominant effect of the
radiative cooling on the vertic... | arxiv topic:physics.ao-ph physics.flu-dyn physics.geo-ph |
arxiv_dataset-171902209.13285 | LHAASO J2226+6057 as a pulsar wind nebula
astro-ph.HE
The Large High Altitude Air Shower Observatory has reported the detection of
cosmic-ray sources in Milky Way that can accelerate particles up to PeV (=
10$^{15}$ eV) energies. These sources, so called ``PeVatrons'', are mostly
unidentified. Several classes of so... | arxiv topic:astro-ph.HE |
arxiv_dataset-171912209.13385 | Beyond Heart Murmur Detection: Automatic Murmur Grading from
Phonocardiogram
q-bio.QM cs.SD eess.AS
Objective: Murmurs are abnormal heart sounds, identified by experts through
cardiac auscultation. The murmur grade, a quantitative measure of the murmur
intensity, is strongly correlated with the patient's clinical... | arxiv topic:q-bio.QM cs.SD eess.AS |
arxiv_dataset-171922209.13485 | Improved covariance estimation: optimal robustness and sub-Gaussian
guarantees under heavy tails
math.ST math.PR stat.TH
We present an estimator of the covariance matrix $\Sigma$ of random
$d$-dimensional vector from an i.i.d. sample of size $n$. Our sole assumption
is that this vector satisfies a bounded $L^p-L^... | arxiv topic:math.ST math.PR stat.TH |
arxiv_dataset-171932209.13585 | Semi-Blind Source Separation with Learned Constraints
eess.SP cs.LG
Blind source separation (BSS) algorithms are unsupervised methods, which are
the cornerstone of hyperspectral data analysis by allowing for physically
meaningful data decompositions. BSS problems being ill-posed, the resolution
requires efficient r... | arxiv topic:eess.SP cs.LG |
arxiv_dataset-171942209.13685 | Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect
Transistors
cs.ET
Achieving brain-like density and performance in neuromorphic computers
necessitates scaling down the size of nanodevices emulating neuro-synaptic
functionalities. However, scaling nanodevices results in reduction of
programm... | arxiv topic:cs.ET |
arxiv_dataset-171952209.13785 | Attacking Compressed Vision Transformers
cs.LG cs.CV
Vision Transformers are increasingly embedded in industrial systems due to
their superior performance, but their memory and power requirements make
deploying them to edge devices a challenging task. Hence, model compression
techniques are now widely used to deplo... | arxiv topic:cs.LG cs.CV |
arxiv_dataset-171962209.13885 | UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating
Explanations in Recommendation
cs.AI cs.CL
Personalized natural language generation for explainable recommendations
plays a key role in justifying why a recommendation might match a user's
interests. Existing models usually control the genera... | arxiv topic:cs.AI cs.CL |
arxiv_dataset-171972209.13985 | Towards Explaining Autonomy with Verbalised Decision Tree States
cs.RO cs.CL
The development of new AUV technology increased the range of tasks that AUVs
can tackle and the length of their operations. As a result, AUVs are capable of
handling highly complex operations. However, these missions do not fit easily
into... | arxiv topic:cs.RO cs.CL |
arxiv_dataset-171982209.14085 | PTSD in the Wild: A Video Database for Studying Post-Traumatic Stress
Disorder Recognition in Unconstrained Environments
cs.HC cs.CV cs.LG
POST-traumatic stress disorder (PTSD) is a chronic and debilitating mental
condition that is developed in response to catastrophic life events, such as
military combat, sexual... | arxiv topic:cs.HC cs.CV cs.LG |
arxiv_dataset-171992209.14185 | Classical and Quantum Iterative Optimization Algorithms Based on Matrix
Legendre-Bregman Projections
quant-ph math.OC
We consider Legendre-Bregman projections defined on the Hermitian matrix
space and design iterative optimization algorithms based on them. A general
duality theorem is established for Bregman dive... | arxiv topic:quant-ph math.OC |
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