title stringlengths 7 239 | abstract stringlengths 7 2.76k | cs int64 0 1 | phy int64 0 1 | math int64 0 1 | stat int64 0 1 | quantitative biology int64 0 1 | quantitative finance int64 0 1 |
|---|---|---|---|---|---|---|---|
Characterizing spectral continuity in SDSS u'g'r'i'z' asteroid photometry | Context. The 4th release of the SDSS Moving Object Catalog (SDSSMOC) is
presently the largest photometric dataset of asteroids. Up to this point, the
release of large asteroid datasets has always been followed by a redefinition
of asteroid taxonomy. In the years that followed the release of the first
SDSSMOC, several... | 0 | 1 | 0 | 0 | 0 | 0 |
Transverse-spin correlations of the random transverse-field Ising model | The critical behavior of the random transverse-field Ising model in finite
dimensional lattices is governed by infinite disorder fixed points, several
properties of which have already been calculated by the use of the strong
disorder renormalization group (SDRG) method. Here we extend these studies and
calculate the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Multivariate stable distributions and their applications for modelling cryptocurrency-returns | In this paper we extend the known methodology for fitting stable
distributions to the multivariate case and apply the suggested method to the
modelling of daily cryptocurrency-return data. The investigated time period is
cut into 10 non-overlapping sections, thus the changes can also be observed. We
apply bootstrap t... | 0 | 0 | 0 | 0 | 0 | 1 |
Beautiful and damned. Combined effect of content quality and social ties on user engagement | User participation in online communities is driven by the intertwinement of
the social network structure with the crowd-generated content that flows along
its links. These aspects are rarely explored jointly and at scale. By looking
at how users generate and access pictures of varying beauty on Flickr, we
investigate... | 1 | 0 | 0 | 0 | 0 | 0 |
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities | The detection of software vulnerabilities (or vulnerabilities for short) is
an important problem that has yet to be tackled, as manifested by many
vulnerabilities reported on a daily basis. This calls for machine learning
methods to automate vulnerability detection. Deep learning is attractive for
this purpose becaus... | 0 | 0 | 0 | 1 | 0 | 0 |
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models | We investigate the problem of learning discrete, undirected graphical models
in a differentially private way. We show that the approach of releasing noisy
sufficient statistics using the Laplace mechanism achieves a good trade-off
between privacy, utility, and practicality. A naive learning algorithm that
uses the no... | 1 | 0 | 0 | 1 | 0 | 0 |
Phase unwinding, or invariant subspace decompositions of Hardy spaces | We consider orthogonal decompositions of invariant subspaces of Hardy spaces,
these relate to the Blaschke based phase unwinding decompositions. We prove
convergence in Lp. In particular we build an explicit multiscale wavelet basis.
We also obtain an explicit unwindinig decomposition for the singular inner
function,... | 0 | 0 | 1 | 0 | 0 | 0 |
SalProp: Salient object proposals via aggregated edge cues | In this paper, we propose a novel object proposal generation scheme by
formulating a graph-based salient edge classification framework that utilizes
the edge context. In the proposed method, we construct a Bayesian probabilistic
edge map to assign a saliency value to the edgelets by exploiting low level
edge features... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantum gap and spin-wave excitations in the Kitaev model on a triangular lattice | We study the effects of quantum fluctuations on the dynamical generation of a
gap and on the evolution of the spin-wave spectra of a frustrated magnet on a
triangular lattice with bond-dependent Ising couplings, analog of the Kitaev
honeycomb model. The quantum fluctuations lift the subextensive degeneracy of
the cla... | 0 | 1 | 0 | 0 | 0 | 0 |
Sparse Gaussian ICA | Independent component analysis (ICA) is a cornerstone of modern data
analysis. Its goal is to recover a latent random vector S with independent
components from samples of X=AS where A is an unknown mixing matrix.
Critically, all existing methods for ICA rely on and exploit strongly the
assumption that S is not Gaussi... | 0 | 0 | 0 | 1 | 0 | 0 |
Supervisor Synthesis of POMDP based on Automata Learning | As a general and thus popular model for autonomous systems, partially
observable Markov decision process (POMDP) can capture uncertainties from
different sources like sensing noises, actuation errors, and uncertain
environments. However, its comprehensiveness makes the planning and control in
POMDP difficult. Traditi... | 1 | 0 | 0 | 0 | 0 | 0 |
A Pseudo Knockoff Filter for Correlated Features | In 2015, Barber and Candes introduced a new variable selection procedure
called the knockoff filter to control the false discovery rate (FDR) and prove
that this method achieves exact FDR control. Inspired by the work of Barber and
Candes (2015), we propose and analyze a pseudo-knockoff filter that inherits
some adva... | 0 | 0 | 1 | 1 | 0 | 0 |
$μ$-constant monodromy groups and Torelli results for the quadrangle singularities and the bimodal series | This paper is a sequel to [He11] and [GH17]. In [He11] a notion of marking of
isolated hypersurface singularities was defined, and a moduli space
$M_\mu^{mar}$ for marked singularities in one $\mu$-homotopy class of isolated
hypersurface singularities was established. It is an analogue of a
Teichmüller space. It come... | 0 | 0 | 1 | 0 | 0 | 0 |
SoaAlloc: Accelerating Single-Method Multiple-Objects Applications on GPUs | We propose SoaAlloc, a dynamic object allocator for Single-Method
Multiple-Objects applications in CUDA. SoaAlloc is the first allocator for GPUs
that (a) arranges allocations in a SIMD-friendly Structure of Arrays (SOA) data
layout, (b) provides a do-all operation for maximizing the benefit of SOA, and
(c) is on par... | 1 | 0 | 0 | 0 | 0 | 0 |
Probabilistic risk bounds for the characterization of radiological contamination | The radiological characterization of contaminated elements (walls, grounds,
objects) from nuclear facilities often suffers from a too small number of
measurements. In order to determine risk prediction bounds on the level of
contamination, some classic statistical methods may then reveal unsuited as
they rely upon st... | 0 | 0 | 1 | 1 | 0 | 0 |
Automatic Backward Differentiation for American Monte-Carlo Algorithms (Conditional Expectation) | In this note we derive the backward (automatic) differentiation (adjoint
[automatic] differentiation) for an algorithm containing a conditional
expectation operator. As an example we consider the backward algorithm as it is
used in Bermudan product valuation, but the method is applicable in full
generality.
The metho... | 1 | 0 | 0 | 0 | 0 | 0 |
The Belgian repository of fundamental atomic data and stellar spectra (BRASS). I. Cross-matching atomic databases of astrophysical interest | Fundamental atomic parameters, such as oscillator strengths, play a key role
in modelling and understanding the chemical composition of stars in the
universe. Despite the significant work underway to produce these parameters for
many astrophysically important ions, uncertainties in these parameters remain
large and c... | 0 | 1 | 0 | 0 | 0 | 0 |
High-Precision Calculations in Strongly Coupled Quantum Field Theory with Next-to-Leading-Order Renormalized Hamiltonian Truncation | Hamiltonian Truncation (a.k.a. Truncated Spectrum Approach) is an efficient
numerical technique to solve strongly coupled QFTs in d=2 spacetime dimensions.
Further theoretical developments are needed to increase its accuracy and the
range of applicability. With this goal in mind, here we present a new variant
of Hami... | 0 | 1 | 0 | 0 | 0 | 0 |
State Distribution-aware Sampling for Deep Q-learning | A critical and challenging problem in reinforcement learning is how to learn
the state-action value function from the experience replay buffer and
simultaneously keep sample efficiency and faster convergence to a high quality
solution. In prior works, transitions are uniformly sampled at random from the
replay buffer... | 0 | 0 | 0 | 1 | 0 | 0 |
Energy Trading between microgrids Individual Cost Minimization and Social Welfare Maximization | High penetration of renewable energy source makes microgrid (MGs) be
environment friendly. However, the stochastic input from renewable energy
resource brings difficulty in balancing the energy supply and demand.
Purchasing extra energy from macrogrid to deal with energy shortage will
increase MG energy cost. To miti... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Kolmogorov Models for Binary Random Variables | We summarize our recent findings, where we proposed a framework for learning
a Kolmogorov model, for a collection of binary random variables. More
specifically, we derive conditions that link outcomes of specific random
variables, and extract valuable relations from the data. We also propose an
algorithm for computin... | 0 | 0 | 0 | 1 | 0 | 0 |
Möbius topological superconductivity in UPt$_3$ | Intensive studies for more than three decades have elucidated multiple
superconducting phases and odd-parity Cooper pairs in a heavy fermion
superconductor UPt$_3$. We identify a time-reversal invariant superconducting
phase of UPt$_3$ as a recently proposed topological nonsymmorphic
superconductivity. Combining the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Sparse Identification and Estimation of High-Dimensional Vector AutoRegressive Moving Averages | The Vector AutoRegressive Moving Average (VARMA) model is fundamental to the
study of multivariate time series. However, estimation becomes challenging in
even relatively low-dimensional VARMA models. With growing interest in the
simultaneous modeling of large numbers of marginal time series, many authors
have abando... | 0 | 0 | 0 | 1 | 0 | 0 |
Information Retrieval and Criticality in Parity-Time-Symmetric Systems | By investigating information flow between a general parity-time (PT)
-symmetric non-Hermitian system and an environment, we find that the complete
information retrieval from the environment can be achieved in the PT-unbroken
phase, whereas no information can be retrieved in the PT-broken phase. The
PT-transition poin... | 0 | 1 | 0 | 0 | 0 | 0 |
A practical guide and software for analysing pairwise comparison experiments | Most popular strategies to capture subjective judgments from humans involve
the construction of a unidimensional relative measurement scale, representing
order preferences or judgments about a set of objects or conditions. This
information is generally captured by means of direct scoring, either in the
form of a Like... | 1 | 0 | 0 | 1 | 0 | 0 |
Web-Based Implementation of Travelling Salesperson Problem Using Genetic Algorithm | The world is connected through the Internet. As the abundance of Internet
users connected into the Web and the popularity of cloud computing research,
the need of Artificial Intelligence (AI) is demanding. In this research,
Genetic Algorithm (GA) as AI optimization method through natural selection and
genetic evoluti... | 1 | 0 | 0 | 0 | 0 | 0 |
Random Spatial Networks: Small Worlds without Clustering, Traveling Waves, and Hop-and-Spread Disease Dynamics | Random network models play a prominent role in modeling, analyzing and
understanding complex phenomena on real-life networks. However, a key property
of networks is often neglected: many real-world networks exhibit spatial
structure, the tendency of a node to select neighbors with a probability
depending on physical ... | 0 | 1 | 0 | 0 | 0 | 0 |
The evolution of magnetic hot massive stars: Implementation of the quantitative influence of surface magnetic fields in modern models of stellar evolution | Large-scale dipolar surface magnetic fields have been detected in a fraction
of OB stars, however only few stellar evolution models of massive stars have
considered the impact of these fossil fields. We are performing 1D
hydrodynamical model calculations taking into account evolutionary consequences
of the magnetosph... | 0 | 1 | 0 | 0 | 0 | 0 |
The finite gap method and the analytic description of the exact rogue wave recurrence in the periodic NLS Cauchy problem. 1 | The focusing NLS equation is the simplest universal model describing the
modulation instability (MI) of quasi monochromatic waves in weakly nonlinear
media, considered the main physical mechanism for the appearance of rogue
(anomalous) waves (RWs) in Nature. In this paper we study, using the finite gap
method, the NL... | 0 | 1 | 0 | 0 | 0 | 0 |
First Discoveries of z>6 Quasars with the DECam Legacy Survey and UKIRT Hemisphere Survey | We present the first discoveries from a survey of $z\gtrsim6$ quasars using
imaging data from the DECam Legacy Survey (DECaLS) in the optical, the UKIRT
Deep Infrared Sky Survey (UKIDSS) and a preliminary version of the UKIRT
Hemisphere Survey (UHS) in the near-IR, and ALLWISE in the mid-IR. DECaLS will
image 9000 de... | 0 | 1 | 0 | 0 | 0 | 0 |
On unique continuation for solutions of the Schr{ö}dinger equation on trees | We prove that if a solution of the time-dependent Schr{ö}dinger equation on
an homogeneous tree with bounded potential decays fast at two distinct times
then the solution is trivial. For the free Schr{ö}dinger operator, we use the
spectral theory of the Laplacian and complex analysis and obtain a
characterization of ... | 0 | 0 | 1 | 0 | 0 | 0 |
Particle-hole Asymmetry in the Cuprate Pseudogap Measured with Time-Resolved Spectroscopy | One of the most puzzling features of high-temperature cuprate superconductors
is the pseudogap state, which appears above the temperature at which
superconductivity is destroyed. There remain fundamental questions regarding
its nature and its relation to superconductivity. But to address these
questions, we must firs... | 0 | 1 | 0 | 0 | 0 | 0 |
Numerically modeling Brownian thermal noise in amorphous and crystalline thin coatings | Thermal noise is expected to be one of the noise sources limiting the
astrophysical reach of Advanced LIGO (once commissioning is complete) and
third-generation detectors. Adopting crystalline materials for thin, reflecting
mirror coatings, rather than the amorphous coatings used in current-generation
detectors, coul... | 0 | 1 | 0 | 0 | 0 | 0 |
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks | In an effort to understand the meaning of the intermediate representations
captured by deep networks, recent papers have tried to associate specific
semantic concepts to individual neural network filter responses, where
interesting correlations are often found, largely by focusing on extremal
filter responses. In thi... | 0 | 0 | 0 | 1 | 0 | 0 |
Can the removal of molecular cloud envelopes by external feedback affect the efficiency of star formation? | We investigate how star formation efficiency can be significantly decreased
by the removal of a molecular cloud's envelope by feedback from an external
source. Feedback from star formation has difficulties halting the process in
dense gas but can easily remove the less dense and warmer envelopes where star
formation ... | 0 | 1 | 0 | 0 | 0 | 0 |
Joint Rate and Resource Allocation in Hybrid Digital-Analog Transmission over Fading Channels | In hybrid digital-analog (HDA) systems, resource allocation has been utilized
to achieve desired distortion performance. However, existing studies on this
issue assume error-free digital transmission, which is not valid for fading
channels. With time-varying channel fading, the exact channel state information
is not ... | 1 | 0 | 0 | 0 | 0 | 0 |
Relaxation to a Phase-locked Equilibrium State in a One-dimensional Bosonic Josephson Junction | We present an experimental study on the non-equilibrium tunnel dynamics of
two coupled one-dimensional Bose-Einstein quasi-condensates deep in the
Josephson regime. Josephson oscillations are initiated by splitting a single
one-dimensional condensate and imprinting a relative phase between the
superfluids. Regardless... | 0 | 1 | 0 | 0 | 0 | 0 |
A Hybrid Model for Role-related User Classification on Twitter | To aid a variety of research studies, we propose TWIROLE, a hybrid model for
role-related user classification on Twitter, which detects male-related,
female-related, and brand-related (i.e., organization or institution) users.
TWIROLE leverages features from tweet contents, user profiles, and profile
images, and then... | 1 | 0 | 0 | 0 | 0 | 0 |
SecureBoost: A Lossless Federated Learning Framework | The protection of user privacy is an important concern in machine learning,
as evidenced by the rolling out of the General Data Protection Regulation
(GDPR) in the European Union (EU) in May 2018. The GDPR is designed to give
users more control over their personal data, which motivates us to explore
machine learning ... | 1 | 0 | 0 | 1 | 0 | 0 |
Selective reflection from Rb layer with thickness below $λ$/12 and applications | We have studied the peculiarities of selective reflection from Rb vapor cell
with thickness $L <$ 70 nm, which is over an order of magnitude smaller than
the resonant wavelength for Rb atomic D$_1$ line $\lambda$ = 795 nm. A huge
($\approx$ 240 MHz) red shift and spectral broadening of reflection signal is
recorded f... | 0 | 1 | 0 | 0 | 0 | 0 |
The Complexity of Abstract Machines | The lambda-calculus is a peculiar computational model whose definition does
not come with a notion of machine. Unsurprisingly, implementations of the
lambda-calculus have been studied for decades. Abstract machines are
implementations schema for fixed evaluation strategies that are a compromise
between theory and pra... | 1 | 0 | 0 | 0 | 0 | 0 |
Recent progress in the Zimmer program | This paper can be viewed as a sequel to the author's long survey on the
Zimmer program \cite{F11} published in 2011. The sequel focuses on recent rapid
progress on certain aspects of the program particularly concerning rigidity of
Anosov actions and Zimmer's conjecture that there are no actions in low
dimensions. Som... | 0 | 0 | 1 | 0 | 0 | 0 |
Restricted Causal Inference Algorithm | This paper proposes a new algorithm for recovery of belief network structure
from data handling hidden variables. It consists essentially in an extension of
the CI algorithm of Spirtes et al. by restricting the number of conditional
dependencies checked up to k variables and in an extension of the original CI
by addi... | 1 | 0 | 0 | 0 | 0 | 0 |
Fiber plucking by molecular motors yields large emergent contractility in stiff biopolymer networks | The mechanical properties of the cell depend crucially on the tension of its
cytoskeleton, a biopolymer network that is put under stress by active motor
proteins. While the fibrous nature of the network is known to strongly affect
the transmission of these forces to the cellular scale, our understanding of
this proce... | 0 | 0 | 0 | 0 | 1 | 0 |
Demographics of News Sharing in the U.S. Twittersphere | The widespread adoption and dissemination of online news through social media
systems have been revolutionizing many segments of our society and ultimately
our daily lives. In these systems, users can play a central role as they share
content to their friends. Despite that, little is known about news spreaders in
soc... | 1 | 0 | 0 | 0 | 0 | 0 |
Dynamics and fragmentation mechanism of (CH3-C5H4)Pt(CH3)3 on SiO2 Surfaces | The interaction of (CH3-C5H4)Pt(CH3)3
((methylcyclopentadienyl)trimethylplatinum)) molecules on fully and partially
hydroxylated SiO2 surfaces, as well as the dynamics of this interaction were
investigated using density functional theory (DFT) and finite temperature
DFT-based molecular dynamics simulations. Fully and... | 0 | 1 | 0 | 0 | 0 | 0 |
On the robustness of the H$β$ Lick index as a cosmic clock in passive early-type galaxies | We examine the H$\beta$ Lick index in a sample of $\sim 24000$ massive ($\rm
log(M/M_{\odot})>10.75$) and passive early-type galaxies extracted from SDSS at
z<0.3, in order to assess the reliability of this index to constrain the epoch
of formation and age evolution of these systems. We further investigate the
possib... | 0 | 1 | 0 | 0 | 0 | 0 |
Finite-size effects in a stochastic Kuramoto model | We present a collective coordinate approach to study the collective behaviour
of a finite ensemble of $N$ stochastic Kuramoto oscillators using two degrees
of freedom; one describing the shape dynamics of the oscillators and one
describing their mean phase. Contrary to the thermodynamic limit $N\to\infty$
in which th... | 0 | 1 | 0 | 0 | 0 | 0 |
The normal distribution is freely selfdecomposable | The class of selfdecomposable distributions in free probability theory was
introduced by Barndorff-Nielsen and the third named author. It constitutes a
fairly large subclass of the freely infinitely divisible distributions, but so
far specific examples have been limited to Wigner's semicircle distributions,
the free ... | 0 | 0 | 1 | 0 | 0 | 0 |
Simplex Queues for Hot-Data Download | In cloud storage systems, hot data is usually replicated over multiple nodes
in order to accommodate simultaneous access by multiple users as well as
increase the fault tolerance of the system. Recent cloud storage research has
proposed using availability codes, which is a special class of erasure codes,
as a more st... | 1 | 0 | 0 | 0 | 0 | 0 |
Voting power of political parties in the Senate of Chile during the whole binomial system period: 1990-2017 | The binomial system is an electoral system unique in the world. It was used
to elect the senators and deputies of Chile during 27 years, from the return of
democracy in 1990 until 2017. In this paper we study the real voting power of
the different political parties in the Senate of Chile during the whole
binomial per... | 0 | 0 | 0 | 0 | 0 | 1 |
A uniform stability principle for dual lattices | We prove a highly uniform stability or "almost-near" theorem for dual
lattices of lattices $L \subseteq \Bbb R^n$. More precisely, we show that, for
a vector $x$ from the linear span of a lattice $L \subseteq \Bbb R^n$, subject
to $\lambda_1(L) \ge \lambda > 0$, to be $\varepsilon$-close to some vector
from the dual ... | 0 | 0 | 1 | 0 | 0 | 0 |
pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems | pandapower is a Python based, BSD-licensed power system analysis tool aimed
at automation of static and quasi-static analysis and optimization of balanced
power systems. It provides power flow, optimal power flow, state estimation,
topological graph searches and short circuit calculations according to IEC
60909. pand... | 1 | 0 | 0 | 0 | 0 | 0 |
Temporal oscillations of light transmission through dielectric microparticles subjected to optically induced motion | We consider light-induced binding and motion of dielectric microparticles in
an optical waveguide that gives rise to a back-action effect such as light
transmission oscillating with time. Modeling the particles by dielectric slabs
allows us to solve the problem analytically and obtain a rich variety of
dynamical regi... | 0 | 1 | 0 | 0 | 0 | 0 |
Berry-Esséen bounds for parameter estimation of general Gaussian processes | We study rates of convergence in central limit theorems for the partial sum
of squares of general Gaussian sequences, using tools from analysis on Wiener
space. No assumption of stationarity, asymptotically or otherwise, is made. The
main theoretical tool is the so-called Optimal Fourth Moment Theorem
\cite{NP2015}, ... | 0 | 0 | 1 | 1 | 0 | 0 |
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks | Anomaly detection aims to detect abnormal events by a model of normality. It
plays an important role in many domains such as network intrusion detection,
criminal activity identity and so on. With the rapidly growing size of
accessible training data and high computation capacities, deep learning based
anomaly detecti... | 0 | 0 | 0 | 1 | 0 | 0 |
Supercurrent as a Probe for Topological Superconductivity in Magnetic Adatom Chains | A magnetic adatom chain, proximity coupled to a conventional superconductor
with spin-orbit coupling, exhibits locally an odd-parity, spin-triplet pairing
amplitude. We show that the singlet-triplet junction, thus formed, leads to a
net spin accumulation in the near vicinity of the chain. The accumulated spins
are po... | 0 | 1 | 0 | 0 | 0 | 0 |
Experimental statistics of veering triangulations | Certain fibered hyperbolic 3-manifolds admit a $\mathit{\text{layered veering
triangulation}}$, which can be constructed algorithmically given the stable
lamination of the monodromy. These triangulations were introduced by Agol in
2011, and have been further studied by several others in the years since. We
obtain exp... | 0 | 0 | 1 | 0 | 0 | 0 |
Concept Drift and Anomaly Detection in Graph Streams | Graph representations offer powerful and intuitive ways to describe data in a
multitude of application domains. Here, we consider stochastic processes
generating graphs and propose a methodology for detecting changes in
stationarity of such processes. The methodology is general and considers a
process generating attr... | 1 | 0 | 0 | 1 | 0 | 0 |
Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks | Computational Fluid Dynamics (CFD) is a hugely important subject with
applications in almost every engineering field, however, fluid simulations are
extremely computationally and memory demanding. Towards this end, we present
Lat-Net, a method for compressing both the computation time and memory usage of
Lattice Bolt... | 0 | 1 | 0 | 1 | 0 | 0 |
Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study | While first-order optimization methods such as stochastic gradient descent
(SGD) are popular in machine learning (ML), they come with well-known
deficiencies, including relatively-slow convergence, sensitivity to the
settings of hyper-parameters such as learning rate, stagnation at high training
errors, and difficult... | 1 | 0 | 0 | 1 | 0 | 0 |
Computational Approaches for Stochastic Shortest Path on Succinct MDPs | We consider the stochastic shortest path (SSP) problem for succinct Markov
decision processes (MDPs), where the MDP consists of a set of variables, and a
set of nondeterministic rules that update the variables. First, we show that
several examples from the AI literature can be modeled as succinct MDPs. Then
we presen... | 1 | 0 | 0 | 0 | 0 | 0 |
One-dimensional in-plane edge domain walls in ultrathin ferromagnetic films | We study existence and properties of one-dimensional edge domain walls in
ultrathin ferromagnetic films with uniaxial in-plane magnetic anisotropy. In
these materials, the magnetization vector is constrained to lie entirely in the
film plane, with the preferred directions dictated by the magnetocrystalline
easy axis.... | 0 | 1 | 1 | 0 | 0 | 0 |
Nontrivial Turmites are Turing-universal | A Turmit is a Turing machine that works over a two-dimensional grid, that is,
an agent that moves, reads and writes symbols over the cells of the grid. Its
state is an arrow and, depending on the symbol that it reads, it turns to the
left or to the right, switching the symbol at the same time. Several symbols
are adm... | 1 | 1 | 0 | 0 | 0 | 0 |
Dandelion: Redesigning the Bitcoin Network for Anonymity | Bitcoin and other cryptocurrencies have surged in popularity over the last
decade. Although Bitcoin does not claim to provide anonymity for its users, it
enjoys a public perception of being a `privacy-preserving' financial system. In
reality, cryptocurrencies publish users' entire transaction histories in
plaintext, ... | 1 | 0 | 0 | 0 | 0 | 0 |
A characterisation of Lie algebras amongst anti-commutative algebras | Let $\mathbb{K}$ be an infinite field. We prove that if a variety of
anti-commutative $\mathbb{K}$-algebras - not necessarily associative, where
$xx=0$ is an identity - is locally algebraically cartesian closed, then it must
be a variety of Lie algebras over $\mathbb{K}$. In particular,
$\mathsf{Lie}_{\mathbb{K}}$ is... | 0 | 0 | 1 | 0 | 0 | 0 |
Characteristics of a magneto-optical trap of molecules | We present the properties of a magneto-optical trap (MOT) of CaF molecules.
We study the process of loading the MOT from a decelerated buffer-gas-cooled
beam, and how best to slow this molecular beam in order to capture the most
molecules. We determine how the number of molecules, the photon scattering
rate, the osci... | 0 | 1 | 0 | 0 | 0 | 0 |
Reconstructing a Lattice Equation: a Non-Autonomous Approach to the Hietarinta Equation | In this paper we construct a non-autonomous version of the Hietarinta
equation [Hietarinta J., J. Phys. A: Math. Gen. 37 (2004), L67-L73] and study
its integrability properties. We show that this equation possess linear growth
of the degrees of iterates, generalized symmetries depending on arbitrary
functions, and th... | 0 | 1 | 0 | 0 | 0 | 0 |
Adversarial Training Versus Weight Decay | Performance-critical machine learning models should be robust to input
perturbations not seen during training. Adversarial training is a method for
improving a model's robustness to some perturbations by including them in the
training process, but this tends to exacerbate other vulnerabilities of the
model. The adver... | 0 | 0 | 0 | 1 | 0 | 0 |
Ray tracing method for stereo image synthesis using CUDA | This paper presents a realization of the approach to spatial 3D stereo of
visualization of 3D images with use parallel Graphics processing unit (GPU).
The experiments of realization of synthesis of images of a 3D stage by a method
of trace of beams on GPU with Compute Unified Device Architecture (CUDA) have
shown tha... | 1 | 0 | 0 | 0 | 0 | 0 |
Numerical investigation of gapped edge states in fractional quantum Hall-superconductor heterostructures | Fractional quantum Hall-superconductor heterostructures may provide a
platform towards non-abelian topological modes beyond Majoranas. However their
quantitative theoretical study remains extremely challenging. We propose and
implement a numerical setup for studying edge states of fractional quantum Hall
droplets wit... | 0 | 1 | 0 | 0 | 0 | 0 |
Multimodal Observation and Interpretation of Subjects Engaged in Problem Solving | In this paper we present the first results of a pilot experiment in the
capture and interpretation of multimodal signals of human experts engaged in
solving challenging chess problems. Our goal is to investigate the extent to
which observations of eye-gaze, posture, emotion and other physiological
signals can be used... | 1 | 0 | 0 | 1 | 0 | 0 |
Theoretical limitations of Encoder-Decoder GAN architectures | Encoder-decoder GANs architectures (e.g., BiGAN and ALI) seek to add an
inference mechanism to the GANs setup, consisting of a small encoder deep net
that maps data-points to their succinct encodings. The intuition is that being
forced to train an encoder alongside the usual generator forces the system to
learn meani... | 1 | 0 | 0 | 1 | 0 | 0 |
Ground state sign-changing solutions for a class of nonlinear fractional Schrödinger-Poisson system in $\mathbb{R}^{3}$ | In this paper, we are concerned with the existence of the least energy
sign-changing solutions for the following fractional Schrödinger-Poisson
system: \begin{align*}
\left\{ \begin{aligned} &(-\Delta)^{s} u+V(x)u+\lambda\phi(x)u=f(x, u),\quad
&\text{in}\, \ \mathbb{R}^{3},\\ &(-\Delta)^{t}\phi=u^{2},& \text{in}\,\
\... | 0 | 0 | 1 | 0 | 0 | 0 |
Monads on higher monoidal categories | We study the action of monads on categories equipped with several monoidal
structures. We identify the structure and conditions that guarantee that the
higher monoidal structure is inherited by the category of algebras over the
monad. Monoidal monads and comonoidal monads appear as the base cases in this
hierarchy. M... | 0 | 0 | 1 | 0 | 0 | 0 |
A Review of Augmented Reality Applications for Building Evacuation | Evacuation is one of the main disaster management solutions to reduce the
impact of man-made and natural threats on building occupants. To date, several
modern technologies and gamification concepts, e.g. immersive virtual reality
and serious games, have been used to enhance building evacuation preparedness
and effec... | 1 | 0 | 0 | 0 | 0 | 0 |
Topology in time-reversal symmetric crystals | The discovery of topological insulators has reformed modern materials
science, promising to be a platform for tabletop relativistic physics,
electronic transport without scattering, and stable quantum computation.
Topological invariants are used to label distinct types of topological
insulators. But it is not general... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations | Deep convolutional neural network (CNN) inference requires significant amount
of memory and computation, which limits its deployment on embedded devices. To
alleviate these problems to some extent, prior research utilize low precision
fixed-point numbers to represent the CNN weights and activations. However, the
mini... | 1 | 0 | 0 | 0 | 0 | 0 |
Voids in the Cosmic Web as a probe of dark energy | The formation of large voids in the Cosmic Web from the initial adiabatic
cosmological perturbations of space-time metric, density and velocity of matter
is investigated in cosmological model with the dynamical dark energy
accelerating expansion of the Universe. It is shown that the negative density
perturbations wit... | 0 | 1 | 0 | 0 | 0 | 0 |
Templated ligation can create a hypercycle replication network | The stability of sequence replication was crucial for the emergence of
molecular evolution and early life. Exponential replication with a first-order
growth dynamics show inherent instabilities such as the error catastrophe and
the dominance by the fastest replicators. This favors less structured and short
sequences.... | 0 | 0 | 0 | 0 | 1 | 0 |
Variational characterization of H^p | In this paper we obtain the variational characterization of Hardy space $H^p$
for $p\in(\frac n{n+1},1]$ and get estimates for the oscillation operator and
the $\lambda$-jump operator associated with approximate identities acting on
$H^p$ for $p\in(\frac n{n+1},1]$. Moreover, we give counterexamples to show
that the ... | 0 | 0 | 1 | 0 | 0 | 0 |
Towards Deep Learning Models Resistant to Adversarial Attacks | Recent work has demonstrated that neural networks are vulnerable to
adversarial examples, i.e., inputs that are almost indistinguishable from
natural data and yet classified incorrectly by the network. In fact, some of
the latest findings suggest that the existence of adversarial attacks may be an
inherent weakness o... | 1 | 0 | 0 | 1 | 0 | 0 |
Internal delensing of Planck CMB temperature and polarization | We present a first internal delensing of CMB maps, both in temperature and
polarization, using the public foreground-cleaned (SMICA) Planck 2015 maps.
After forming quadratic estimates of the lensing potential, we use the
corresponding displacement field to undo the lensing on the same data. We build
differences of t... | 0 | 1 | 0 | 0 | 0 | 0 |
Renaissance: Self-Stabilizing Distributed SDN Control Plane | By introducing programmability, automated verification, and innovative
debugging tools, Software-Defined Networks (SDNs) are poised to meet the
increasingly stringent dependability requirements of today's communication
networks. However, the design of fault-tolerant SDNs remains an open challenge.
This paper consider... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust and Scalable Power System State Estimation via Composite Optimization | In today's cyber-enabled smart grids, high penetration of uncertain
renewables, purposeful manipulation of meter readings, and the need for
wide-area situational awareness, call for fast, accurate, and robust power
system state estimation. The least-absolute-value (LAV) estimator is known for
its robustness relative ... | 1 | 0 | 0 | 0 | 0 | 0 |
A new algorithm for constraint satisfaction problems with few subpowers templates | In this article, we provide a new algorithm for solving constraint
satisfaction problems over templates with few subpowers, by reducing the
problem to the combination of solvability of a polynomial number of systems of
linear equations over finite fields and reductions via absorbing subuniverses.
| 0 | 0 | 1 | 0 | 0 | 0 |
Testing of General Relativity with Geodetic VLBI | The geodetic VLBI technique is capable of measuring the Sun's gravity light
deflection from distant radio sources around the whole sky. This light
deflection is equivalent to the conventional gravitational delay used for the
reduction of geodetic VLBI data. While numerous tests based on a global set of
VLBI data have... | 0 | 1 | 0 | 0 | 0 | 0 |
An unbiased estimator for the ellipticity from image moments | An unbiased estimator for the ellipticity of an object in a noisy image is
given in terms of the image moments. Three assumptions are made: i) the pixel
noise is normally distributed, although with arbitrary covariance matrix, ii)
the image moments are taken about a fixed centre, and iii) the point-spread
function is... | 0 | 1 | 1 | 1 | 0 | 0 |
Spectral estimation of the percolation transition in clustered networks | There have been several spectral bounds for the percolation transition in
networks, using spectrum of matrices associated with the network such as the
adjacency matrix and the non-backtracking matrix. However they are far from
being tight when the network is sparse and displays clustering or transitivity,
which is re... | 1 | 1 | 0 | 1 | 0 | 0 |
Collapsibility to a subcomplex of a given dimension is NP-complete | In this paper we extend the works of Tancer and of Malgouyres and Francés,
showing that $(d,k)$-collapsibility is NP-complete for $d\geq k+2$ except
$(2,0)$. By $(d,k)$-collapsibility we mean the following problem: determine
whether a given $d$-dimensional simplicial complex can be collapsed to some
$k$-dimensional s... | 1 | 0 | 1 | 0 | 0 | 0 |
Run, skeleton, run: skeletal model in a physics-based simulation | In this paper, we present our approach to solve a physics-based reinforcement
learning challenge "Learning to Run" with objective to train
physiologically-based human model to navigate a complex obstacle course as
quickly as possible. The environment is computationally expensive, has a
high-dimensional continuous act... | 1 | 0 | 0 | 1 | 0 | 0 |
Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression | Acquisition of labeled training samples for affective computing is usually
costly and time-consuming, as affects are intrinsically subjective, subtle and
uncertain, and hence multiple human assessors are needed to evaluate each
affective sample. Particularly, for affect estimation in the 3D space of
valence, arousal ... | 1 | 0 | 0 | 1 | 0 | 0 |
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning | In this paper, a sparse Markov decision process (MDP) with novel causal
sparse Tsallis entropy regularization is proposed.The proposed policy
regularization induces a sparse and multi-modal optimal policy distribution of
a sparse MDP. The full mathematical analysis of the proposed sparse MDP is
provided.We first anal... | 1 | 0 | 0 | 1 | 0 | 0 |
Mid-infrared Spectroscopic Observations of the Dust-forming Classical Nova V2676 Oph | The dust-forming nova V2676 Oph is unique in that it was the first nova to
provide evidence of C_2 and CN molecules during its near-maximum phase and
evidence of CO molecules during its early decline phase. Observations of this
nova have revealed the slow evolution of its lightcurves and have also shown
low isotopic ... | 0 | 1 | 0 | 0 | 0 | 0 |
An invitation to 2D TQFT and quantization of Hitchin spectral curves | This article consists of two parts. In Part 1, we present a formulation of
two-dimensional topological quantum field theories in terms of a functor from a
category of Ribbon graphs to the endofuntor category of a monoidal category.
The key point is that the category of ribbon graphs produces all Frobenius
objects. Ne... | 0 | 0 | 1 | 0 | 0 | 0 |
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams | Data stream mining problem has caused widely concerns in the area of machine
learning and data mining. In some recent studies, ensemble classification has
been widely used in concept drift detection, however, most of them regard
classification accuracy as a criterion for judging whether concept drift
happening or not... | 1 | 0 | 0 | 0 | 0 | 0 |
Competition between disorder and interaction effects in 3D Weyl semimetals | We investigate the low-energy scaling behavior of an interacting 3D Weyl
semimetal in the presence of disorder. In order to achieve a renormalization
group analysis of the theory, we focus on the effects of a
short-ranged-correlated disorder potential, checking nevertheless that this
choice is not essential to locate... | 0 | 1 | 0 | 0 | 0 | 0 |
Mixing properties and central limit theorem for associated point processes | Positively (resp. negatively) associated point processes are a class of point
processes that induce attraction (resp. inhibition) between the points. As an
important example, determinantal point processes (DPPs) are negatively
associated. We prove $\alpha$-mixing properties for associated spatial point
processes by c... | 0 | 0 | 1 | 1 | 0 | 0 |
Computational landscape of user behavior on social media | With the increasing abundance of 'digital footprints' left by human
interactions in online environments, e.g., social media and app use, the
ability to model complex human behavior has become increasingly possible. Many
approaches have been proposed, however, most previous model frameworks are
fairly restrictive. We ... | 1 | 0 | 0 | 1 | 0 | 0 |
Simulating optical coherence tomography for observing nerve activity: a finite difference time domain bi-dimensional model | We present a finite difference time domain (FDTD) model for computation of A
line scans in time domain optical coherence tomography (OCT). By simulating
only the end of the two arms of the interferometer and computing the
interference signal in post processing, it is possible to reduce the
computational time required... | 0 | 1 | 0 | 0 | 0 | 0 |
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