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 |
|---|---|---|---|---|---|---|---|
The intrinsic stable normal cone | We construct an analog of the intrinsic normal cone of Behrend-Fantechi in
the equivariant motivic stable homotopy category over a base-scheme B and
construct a fundament class in E-cohomology for any cohomology theory E in
SH(B). For affine B, a perfect obstruction theory gives rise to a virtual
fundamental class in... | 0 | 0 | 1 | 0 | 0 | 0 |
Globular cluster formation with multiple stellar populations from hierarchical star cluster complexes | Most old globular clusters (GCs) in the Galaxy are observed to have internal
chemical abundance spreads in light elements. We discuss a new GC formation
scenario based on hierarchical star formation within fractal molecular clouds.
In the new scenario, a cluster of bound and unbound star clusters (`star
cluster compl... | 0 | 1 | 0 | 0 | 0 | 0 |
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks | While domain adaptation has been actively researched in recent years, most
theoretical results and algorithms focus on the single-source-single-target
adaptation setting. Naive application of such algorithms on multiple source
domain adaptation problem may lead to suboptimal solutions. As a step toward
bridging the g... | 1 | 0 | 0 | 1 | 0 | 0 |
OSSOS: V. Diffusion in the orbit of a high-perihelion distant Solar System object | We report the discovery of the minor planet 2013 SY$_{99}$, on an
exceptionally distant, highly eccentric orbit. With a perihelion of 50.0 au,
2013 SY$_{99}$'s orbit has a semi-major axis of $730 \pm 40$ au, the largest
known for a high-perihelion trans-Neptunian object (TNO), well beyond those of
(90377) Sedna and 2... | 0 | 1 | 0 | 0 | 0 | 0 |
Solution of the Lindblad equation for spin helix states | Using Lindblad dynamics we study quantum spin systems with dissipative
boundary dynamics that generate a stationary nonequilibrium state with a
non-vanishing spin current that is locally conserved except at the boundaries.
We demonstrate that with suitably chosen boundary target states one can solve
the many-body Lin... | 0 | 1 | 0 | 0 | 0 | 0 |
Global bifurcation map of the homogeneus states in the Gray-Scott model | We study the spatially homogeneous time dependent solutions and their
bifurcations of the Gray-Scott model. We find the global map of bifurcations by
a combination of rigorous verification of the existence of Takens Bogdanov and
a Bautin bifurcations, in the space of two parameters k and F. With the aid of
numerical ... | 0 | 0 | 1 | 0 | 0 | 0 |
Stochastic Composite Least-Squares Regression with convergence rate O(1/n) | We consider the minimization of composite objective functions composed of the
expectation of quadratic functions and an arbitrary convex function. We study
the stochastic dual averaging algorithm with a constant step-size, showing that
it leads to a convergence rate of O(1/n) without strong convexity assumptions.
Thi... | 0 | 0 | 1 | 1 | 0 | 0 |
Fisher GAN | Generative Adversarial Networks (GANs) are powerful models for learning
complex distributions. Stable training of GANs has been addressed in many
recent works which explore different metrics between distributions. In this
paper we introduce Fisher GAN which fits within the Integral Probability
Metrics (IPM) framework... | 1 | 0 | 0 | 1 | 0 | 0 |
Language as a matrix product state | We propose a statistical model for natural language that begins by
considering language as a monoid, then representing it in complex matrices with
a compatible translation invariant probability measure. We interpret the
probability measure as arising via the Born rule from a translation invariant
matrix product state... | 1 | 1 | 0 | 1 | 0 | 0 |
On the application of Mattis-Bardeen theory in strongly disordered superconductors | The low energy optical conductivity of conventional superconductors is
usually well described by Mattis-Bardeen (MB) theory which predicts the onset
of absorption above an energy corresponding to twice the superconducing (SC)
gap parameter Delta. Recent experiments on strongly disordered superconductors
have challeng... | 0 | 1 | 0 | 0 | 0 | 0 |
Nanoscale Magnetic Imaging using Circularly Polarized High-Harmonic Radiation | This work demonstrates nanoscale magnetic imaging using bright circularly
polarized high-harmonic radiation. We utilize the magneto-optical contrast of
worm-like magnetic domains in a Co/Pd multilayer structure, obtaining
quantitative amplitude and phase maps by lensless imaging. A
diffraction-limited spatial resolut... | 0 | 1 | 0 | 0 | 0 | 0 |
Towards integrated superconducting detectors on lithium niobate waveguides | Superconducting detectors are now well-established tools for low-light
optics, and in particular quantum optics, boasting high-efficiency, fast
response and low noise. Similarly, lithium niobate is an important platform for
integrated optics given its high second-order nonlinearity, used for high-speed
electro-optic ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Hilbert scheme of 11 points in A^3 is irreducible | We prove that the Hilbert scheme of 11 points on a smooth threefold is
irreducible. In the course of the proof, we present several known and new
techniques for producing curves on the Hilbert scheme.
| 0 | 0 | 1 | 0 | 0 | 0 |
Dynamically reconfigurable metal-semiconductor Yagi-Uda nanoantenna | We propose a novel type of tunable Yagi-Uda nanoantenna composed of
metal-dielectric (Ag-Ge) core-shell nanoparticles. We show that, due to the
combination of two types of resonances in each nanoparticle, such hybrid
Yagi-Uda nanoantenna can operate in two different regimes. Besides the
conventional nonresonant opera... | 0 | 1 | 0 | 0 | 0 | 0 |
Synthesis and In Situ Modification of Hierarchical SAPO-34 by PEG with Different Molecular Weights; Application in MTO Process | Modified structures of SAPO-34 were prepared using polyethylene glycol as the
mesopores generating agent. The synthesized catalysts were applied in
methanol-to-olefins (MTO) process. All modified synthesized catalysts were
characterized via XRD, XRF, FESEM, FTIR, N2 adsorption-desorption techniques,
and temperature-p... | 0 | 1 | 0 | 0 | 0 | 0 |
Support Feature Machines | Support Vector Machines (SVMs) with various kernels have played dominant role
in machine learning for many years, finding numerous applications. Although
they have many attractive features interpretation of their solutions is quite
difficult, the use of a single kernel type may not be appropriate in all areas
of the ... | 1 | 0 | 0 | 1 | 0 | 0 |
Voltage Control Using Eigen Value Decomposition of Fast Decoupled Load Flow Jacobian | Voltage deviations occur frequently in power systems. If the violation at
some buses falls outside the prescribed range, it will be necessary to correct
the problem by controlling reactive power resources. In this paper, an optimal
algorithm is proposed to solve this problem by identifying the voltage buses,
that wil... | 1 | 0 | 0 | 0 | 0 | 0 |
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer | Convolutional Neural Networks (CNNs) are a popular deep learning architecture
widely applied in different domains, in particular in classifying over images,
for which the concept of convolution with a filter comes naturally.
Unfortunately, the requirement of a distance (or, at least, of a neighbourhood
function) in t... | 0 | 0 | 0 | 1 | 0 | 0 |
Neural Network Multitask Learning for Traffic Flow Forecasting | Traditional neural network approaches for traffic flow forecasting are
usually single task learning (STL) models, which do not take advantage of the
information provided by related tasks. In contrast to STL, multitask learning
(MTL) has the potential to improve generalization by transferring information
in training s... | 1 | 0 | 0 | 0 | 0 | 0 |
A note on a new paradox in superluminal signalling | The Tolman paradox is well known as a base for demonstrating the causality
violation by faster-than-light signals within special relativity. It is
constructed using a two-way exchange of faster-than-light signals between two
inertial observers who are in a relative motion receding one from another.
Recently a one-way... | 0 | 1 | 0 | 0 | 0 | 0 |
The Compressed Overlap Index | For analysing text algorithms, for computing superstrings, or for testing
random number generators, one needs to compute all overlaps between any pairs
of words in a given set. The positions of overlaps of a word onto itself, or of
two words, are needed to compute the absence probability of a word in a random
text, o... | 1 | 0 | 0 | 0 | 0 | 0 |
An intuitive approach to the unified theory of spin-relaxation | Spin-relaxation is conventionally discussed using two different approaches
for materials with and without inversion symmetry. The former is known as the
Elliott-Yafet (EY) theory and for the latter the D'yakonov-Perel' (DP) theory
applies, respectively. We discuss herein a simple and intuitive approach to
demonstrate... | 0 | 1 | 0 | 0 | 0 | 0 |
Weighted Random Walk Sampling for Multi-Relational Recommendation | In the information overloaded web, personalized recommender systems are
essential tools to help users find most relevant information. The most
heavily-used recommendation frameworks assume user interactions that are
characterized by a single relation. However, for many tasks, such as
recommendation in social networks... | 1 | 0 | 0 | 0 | 0 | 0 |
Understanding the Twitter Usage of Humanities and Social Sciences Academic Journals | Scholarly communication has the scope to transcend the limitations of the
physical world through social media extended coverage and shortened information
paths. Accordingly, publishers have created profiles for their journals in
Twitter to promote their publications and to initiate discussions with public.
This paper... | 1 | 0 | 0 | 0 | 0 | 0 |
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting | Machine learning algorithms, when applied to sensitive data, pose a distinct
threat to privacy. A growing body of prior work demonstrates that models
produced by these algorithms may leak specific private information in the
training data to an attacker, either through the models' structure or their
observable behavio... | 1 | 0 | 0 | 1 | 0 | 0 |
Nanoplatelets as material system between strong confinement and weak confinement | Recently, the fabrication of CdSe nanoplatelets became an important research
topic. Nanoplatelets are often described as having a similar electronic
structure as 2D dimensional quantum wells and are promoted as colloidal quantum
wells with monolayer precision width. In this paper, we show, that
nanoplatelets are not ... | 0 | 1 | 0 | 0 | 0 | 0 |
Combined Thermal Control and GNC: An Enabling Technology for CubeSat Surface Probes and Small Robots | Advances in GNC, particularly from miniaturized control electronics,
reaction-wheels and attitude determination sensors make it possible to design
surface probes and small robots to perform surface exploration and science on
low-gravity environments. These robots would use their reaction wheels to roll,
hop and tumbl... | 1 | 1 | 0 | 0 | 0 | 0 |
Denoising Adversarial Autoencoders | Unsupervised learning is of growing interest because it unlocks the potential
held in vast amounts of unlabelled data to learn useful representations for
inference. Autoencoders, a form of generative model, may be trained by learning
to reconstruct unlabelled input data from a latent representation space. More
robust... | 1 | 0 | 0 | 1 | 0 | 0 |
Monodromy map for tropical Dolbeault cohomology | We define monodromy maps for tropical Dolbeault cohomology of algebraic
varieties over non-Archimedean fields. We propose a conjecture of Hodge
isomorphisms via monodromy maps, and provide some evidence.
| 0 | 0 | 1 | 0 | 0 | 0 |
Randomness Evaluation with the Discrete Fourier Transform Test Based on Exact Analysis of the Reference Distribution | In this paper, we study the problems in the discrete Fourier transform (DFT)
test included in NIST SP 800-22 released by the National Institute of Standards
and Technology (NIST), which is a collection of tests for evaluating both
physical and pseudo-random number generators for cryptographic applications.
The most c... | 1 | 0 | 0 | 1 | 0 | 0 |
Analogies Explained: Towards Understanding Word Embeddings | Word embeddings generated by neural network methods such as word2vec (W2V)
are well known to exhibit seemingly linear behaviour, e.g. the embeddings of
analogy "woman is to queen as man is to king" approximately describe a
parallelogram. This property is particularly intriguing since the embeddings
are not trained to... | 1 | 0 | 0 | 1 | 0 | 0 |
Zero sum partition into sets of the same order and its applications | We will say that an Abelian group $\Gamma$ of order $n$ has the
$m$-\emph{zero-sum-partition property} ($m$-\textit{ZSP-property}) if $m$
divides $n$, $m\geq 2$ and there is a partition of $\Gamma$ into pairwise
disjoint subsets $A_1, A_2,\ldots , A_t$, such that $|A_i| = m$ and $\sum_{a\in
A_i}a = g_0$ for $1 \leq i... | 0 | 0 | 1 | 0 | 0 | 0 |
Strongly Coupled Dark Energy with Warm dark matter vs. LCDM | Cosmologies including strongly Coupled (SC) Dark Energy (DE) and Warm dark
matter (SCDEW) are based on a conformally invariant (CI) attractor solution
modifying the early radiative expansion. Then, aside of radiation, a kinetic
field $\Phi$ and a DM component account for a stationary fraction, $\sim 1\,
\%$, of the t... | 0 | 1 | 0 | 0 | 0 | 0 |
Clausal Analysis of First-order Proof Schemata | Proof schemata are a variant of LK-proofs able to simulate various induction
schemes in first-order logic by adding so called proof links to the standard
first-order LK-calculus. Proof links allow proofs to reference proofs thus
giving proof schemata a recursive structure. Unfortunately, applying reductive
cut- elimi... | 1 | 0 | 1 | 0 | 0 | 0 |
Emotion Intensities in Tweets | This paper examines the task of detecting intensity of emotion from text. We
create the first datasets of tweets annotated for anger, fear, joy, and sadness
intensities. We use a technique called best--worst scaling (BWS) that improves
annotation consistency and obtains reliable fine-grained scores. We show that
emot... | 1 | 0 | 0 | 0 | 0 | 0 |
Modelling the descent of nitric oxide during the elevated stratopause event of January 2013 | Using simulations with a whole-atmosphere chemistry-climate model nudged by
meteorological analyses, global satellite observations of nitrogen oxide (NO)
and water vapour by the Sub-Millimetre Radiometer instrument (SMR), of
temperature by the Microwave Limb Sounder (MLS), as well as local radar
observations, this st... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal Evidence Accumulation on Social Networks | A fundamental question in biology is how organisms integrate sensory and
social evidence to make decisions. However, few models describe how both these
streams of information can be combined to optimize choices. Here we develop a
normative model for collective decision making in a network of agents
performing a two-a... | 1 | 0 | 0 | 0 | 1 | 0 |
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm | Conventional seismic techniques for detecting the subsurface geologic
features are challenged by limited data coverage, computational inefficiency,
and subjective human factors. We developed a novel data-driven geological
feature detection approach based on pre-stack seismic measurements. Our
detection method employs... | 1 | 0 | 0 | 1 | 0 | 0 |
Metastable Modular Metastructures for On-Demand Reconfiguration of Band Structures and Non-Reciprocal Wave Propagation | We present a novel approach to achieve adaptable band structures and
non-reciprocal wave propagation by exploring and exploiting the concept of
metastable modular metastructures. Through studying the dynamics of wave
propagation in a chain composed of finite metastable modules, we provide
experimental and analysis re... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning to Plan Chemical Syntheses | From medicines to materials, small organic molecules are indispensable for
human well-being. To plan their syntheses, chemists employ a problem solving
technique called retrosynthesis. In retrosynthesis, target molecules are
recursively transformed into increasingly simpler precursor compounds until a
set of readily ... | 1 | 1 | 0 | 0 | 0 | 0 |
Projective embedding of pairs and logarithmic K-stability | Let $\hat{L}$ be the projective completion of an ample line bundle $L$ over
$D$, a smooth projective manifold. Hwang-Singer \cite{HwangS} have constructed
complete CSCK metric on $\hat{L}\backslash D$. When the corresponding \kahler
form is in the cohomology class of a rational divisor $A$ and when $L$ has
negative C... | 0 | 0 | 1 | 0 | 0 | 0 |
Motion Switching with Sensory and Instruction Signals by designing Dynamical Systems using Deep Neural Network | To ensure that a robot is able to accomplish an extensive range of tasks, it
is necessary to achieve a flexible combination of multiple behaviors. This is
because the design of task motions suited to each situation would become
increasingly difficult as the number of situations and the types of tasks
performed by the... | 1 | 0 | 0 | 0 | 0 | 0 |
The evolution of magnetic fields in hot stars | Over the last decade, tremendous strides have been achieved in our
understanding of magnetism in main sequence hot stars. In particular, the
statistical occurrence of their surface magnetism has been established (~10%)
and the field origin is now understood to be fossil. However, fundamental
questions remain: how do ... | 0 | 1 | 0 | 0 | 0 | 0 |
Polynomial-Time Methods to Solve Unimodular Quadratic Programs With Performance Guarantees | We develop polynomial-time heuristic methods to solve unimodular quadratic
programs (UQPs) approximately, which are known to be NP-hard. In the UQP
framework, we maximize a quadratic function of a vector of complex variables
with unit modulus. Several problems in active sensing and wireless
communication applications... | 1 | 0 | 1 | 0 | 0 | 0 |
Can the Wild Bootstrap be Tamed into a General Analysis of Covariance Model? | It is well known that the F test is severly affected by heteroskedasticity in
unbalanced analysis of covariance (ANCOVA) models. Currently available remedies
for such a scenario are either based on heteroskedasticity-consistent
covariance matrix estimation (HCCME) or bootstrap techniques. However, the
HCCME approach ... | 0 | 0 | 0 | 1 | 0 | 0 |
Efficient K-Shot Learning with Regularized Deep Networks | Feature representations from pre-trained deep neural networks have been known
to exhibit excellent generalization and utility across a variety of related
tasks. Fine-tuning is by far the simplest and most widely used approach that
seeks to exploit and adapt these feature representations to novel tasks with
limited da... | 1 | 0 | 0 | 1 | 0 | 0 |
The cohomology ring of some Hopf algebras | Let p be a prime, and k be a field of characteristic p. We investigate the
algebra structure and the structure of the cohomology ring for the connected
Hopf algebras of dimension p^3, which appear in the classification obtained in
[V.C. Nguyen, L.-H. Wang and X.-T. Wang, Classification of connected Hopf
algebras of d... | 0 | 0 | 1 | 0 | 0 | 0 |
Eckart ro-vibrational Hamiltonians via the gateway Hamilton operator: theory and practice | Recently, a general expression for Eckart-frame Hamilton operators has been
obtained by the gateway Hamiltonian method ({\it J. Chem. Phys.} {\bf 142},
174107 (2015); {\it ibid.} {\bf 143}, 064104 (2015)). The kinetic energy
operator in this general Hamiltonian is nearly identical with that of the
Eckart-Watson opera... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal Timing to Trade Along a Randomized Brownian Bridge | This paper studies an optimal trading problem that incorporates the trader's
market view on the terminal asset price distribution and uninformative noise
embedded in the asset price dynamics. We model the underlying asset price
evolution by an exponential randomized Brownian bridge (rBb) and consider
various prior di... | 0 | 0 | 0 | 0 | 0 | 1 |
Inflationary Features and Shifts in Cosmological Parameters from Planck 2015 Data | We explore the relationship between features in the Planck 2015 temperature
and polarization data, shifts in the cosmological parameters, and features from
inflation. Residuals in the temperature data at low multipole $\ell$, which are
responsible for the high $H_0\approx 70$ km s$^{-1}$Mpc$^{-1}$ and low
$\sigma_8\O... | 0 | 1 | 0 | 0 | 0 | 0 |
Tree based weighted learning for estimating individualized treatment rules with censored data | Estimating individualized treatment rules is a central task for personalized
medicine. [zhao2012estimating] and [zhang2012robust] proposed outcome weighted
learning to estimate individualized treatment rules directly through maximizing
the expected outcome without modeling the response directly. In this paper, we
ext... | 0 | 0 | 1 | 1 | 0 | 0 |
Fine-Tuning in the Context of Bayesian Theory Testing | Fine-tuning in physics and cosmology is often used as evidence that a theory
is incomplete. For example, the parameters of the standard model of particle
physics are "unnaturally" small (in various technical senses), which has driven
much of the search for physics beyond the standard model. Of particular
interest is ... | 0 | 1 | 0 | 0 | 0 | 0 |
Nuclear physics insights for new-physics searches using nuclei: Neutrinoless $ββ$ decay and dark matter direct detection | Experiments using nuclei to probe new physics beyond the Standard Model, such
as neutrinoless $\beta\beta$ decay searches testing whether neutrinos are their
own antiparticle, and direct detection experiments aiming to identify the
nature of dark matter, require accurate nuclear physics input for optimizing
their dis... | 0 | 1 | 0 | 0 | 0 | 0 |
On the (Statistical) Detection of Adversarial Examples | Machine Learning (ML) models are applied in a variety of tasks such as
network intrusion detection or Malware classification. Yet, these models are
vulnerable to a class of malicious inputs known as adversarial examples. These
are slightly perturbed inputs that are classified incorrectly by the ML model.
The mitigati... | 1 | 0 | 0 | 1 | 0 | 0 |
Search Rank Fraud De-Anonymization in Online Systems | We introduce the fraud de-anonymization problem, that goes beyond fraud
detection, to unmask the human masterminds responsible for posting search rank
fraud in online systems. We collect and study search rank fraud data from
Upwork, and survey the capabilities and behaviors of 58 search rank fraudsters
recruited from... | 1 | 0 | 0 | 0 | 0 | 0 |
Instabilities in Interacting Binary Stars | The types of instability in the interacting binary stars are reviewed. The
project "Inter-Longitude Astronomy" is a series of smaller projects on concrete
stars or groups of stars. It has no special funds, and is supported from
resources and grants of participating organizations, when informal working
groups are crea... | 0 | 1 | 0 | 0 | 0 | 0 |
Interaction blockade for bosons in an asymmetric double well | The interaction blockade phenomenon isolates the motion of a single quantum
particle within a multi-particle system, in particular for coherent
oscillations in and out of a region affected by the blockade mechanism. For
identical quantum particles with Bose statistics, the presence of the other
particles is still fel... | 0 | 1 | 0 | 0 | 0 | 0 |
SPIDER: CMB polarimetry from the edge of space | SPIDER is a balloon-borne instrument designed to map the polarization of the
millimeter-wave sky at large angular scales. SPIDER targets the B-mode
signature of primordial gravitational waves in the cosmic microwave background
(CMB), with a focus on mapping a large sky area with high fidelity at multiple
frequencies.... | 0 | 1 | 0 | 0 | 0 | 0 |
Wind Shear and Turbulence on Titan : Huygens Analysis | Wind shear measured by Doppler tracking of the Huygens probe is evaluated,
and found to be within the range anticipated by pre-flight assessments (namely
less than two times the Brunt-Vaisala frequency). The strongest large-scale
shear encountered was ~5 m/s/km, a level associated with 'Light' turbulence in
terrestri... | 0 | 1 | 0 | 0 | 0 | 0 |
Composable security in relativistic quantum cryptography | Relativistic protocols have been proposed to overcome some impossibility
results in classical and quantum cryptography. In such a setting, one takes the
location of honest players into account, and uses the fact that information
cannot travel faster than the speed of light to limit the abilities of
dishonest agents. ... | 1 | 0 | 0 | 0 | 0 | 0 |
Tensor networks demonstrate the robustness of localization and symmetry protected topological phases | We prove that all eigenstates of many-body localized symmetry protected
topological systems with time reversal symmetry have four-fold degenerate
entanglement spectra in the thermodynamic limit. To that end, we employ unitary
quantum circuits where the number of sites the gates act on grows linearly with
the system s... | 0 | 1 | 0 | 0 | 0 | 0 |
Formation of Intermediate-Mass Black Holes through Runaway Collisions in the First Star Clusters | We study the formation of massive black holes in the first star clusters. We
first locate star-forming gas clouds in proto-galactic haloes of $\gtrsim
\!10^7\,{\rm M}_{\odot}$ in cosmological hydrodynamics simulations and use them
to generate the initial conditions for star clusters with masses of $\sim
\!10^5\,{\rm ... | 0 | 1 | 0 | 0 | 0 | 0 |
Mean Reverting Portfolios via Penalized OU-Likelihood Estimation | We study an optimization-based approach to con- struct a mean-reverting
portfolio of assets. Our objectives are threefold: (1) design a portfolio that
is well-represented by an Ornstein-Uhlenbeck process with parameters estimated
by maximum likelihood, (2) select portfolios with desirable characteristics of
high mean... | 0 | 0 | 0 | 1 | 0 | 1 |
When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies | We show how third-party web trackers can deanonymize users of
cryptocurrencies. We present two distinct but complementary attacks. On most
shopping websites, third party trackers receive information about user
purchases for purposes of advertising and analytics. We show that, if the user
pays using a cryptocurrency, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Performance Evaluation of Container-based Virtualization for High Performance Computing Environments | Virtualization technologies have evolved along with the development of
computational environments since virtualization offered needed features at that
time such as isolation, accountability, resource allocation, resource fair
sharing and so on. Novel processor technologies bring to commodity computers
the possibility... | 1 | 0 | 0 | 0 | 0 | 0 |
An integral formula for the $Q$-prime curvature in 3-dimensional CR geometry | We give an integral formula for the total $Q^\prime$-curvature of a
three-dimensional CR manifold with positive CR Yamabe constant and nonnegative
Paneitz operator. Our derivation includes a relationship between the Green's
functions of the CR Laplacian and the $P^\prime$-operator.
| 0 | 0 | 1 | 0 | 0 | 0 |
Intelligent Device Discovery in the Internet of Things - Enabling the Robot Society | The Internet of Things (IoT) is continuously growing to connect billions of
smart devices anywhere and anytime in an Internet-like structure, which enables
a variety of applications, services and interactions between human and objects.
In the future, the smart devices are supposed to be able to autonomously
discover ... | 1 | 0 | 0 | 0 | 0 | 0 |
Super-blockers and the effect of network structure on information cascades | Modelling information cascades over online social networks is important in
fields from marketing to civil unrest prediction, however the underlying
network structure strongly affects the probability and nature of such cascades.
Even with simple cascade dynamics the probability of large cascades are almost
entirely di... | 1 | 0 | 0 | 0 | 0 | 0 |
Super-Gaussian, super-diffusive transport of multi-mode active matter | Living cells exhibit multi-mode transport that switches between an active,
self-propelled motion and a seemingly passive, random motion. Cellular
decision-making over transport mode switching is a stochastic process that
depends on the dynamics of the intracellular chemical network regulating the
cell migration proce... | 0 | 1 | 0 | 0 | 0 | 0 |
Height functions for motives | We define various height functions for motives over number fields. We compare
these height functions with classical height functions on algebraic varieties,
and also with analogous height functions for variations of Hodge structures on
curves over C. These comparisons provide new questions on motives over number
fiel... | 0 | 0 | 1 | 0 | 0 | 0 |
On the dimension effect of regularized linear discriminant analysis | This paper studies the dimension effect of the linear discriminant analysis
(LDA) and the regularized linear discriminant analysis (RLDA) classifiers for
large dimensional data where the observation dimension $p$ is of the same order
as the sample size $n$. More specifically, built on properties of the Wishart
distri... | 0 | 0 | 1 | 1 | 0 | 0 |
Plasma Wake Accelerators: Introduction and Historical Overview | Fundamental questions on the nature of matter and energy have found answers
thanks to the use of particle accelerators. Societal applications, such as
cancer treatment or cancer imaging, illustrate the impact of accelerators in
our current life. Today, accelerators use metallic cavities that sustain
electricfields wi... | 0 | 1 | 0 | 0 | 0 | 0 |
$R$-triviality of some exceptional groups | The main aim of this paper is to prove $R$-triviality for simple, simply
connected algebraic groups with Tits index $E_{8,2}^{78}$ or $E_{7,1}^{78}$,
defined over a field $k$ of arbitrary characteristic. Let $G$ be such a group.
We prove that there exists a quadratic extension $K$ of $k$ such that $G$ is
$R$-trivial ... | 0 | 0 | 1 | 0 | 0 | 0 |
Aperture synthesis imaging of the carbon AGB star R Sculptoris: Detection of a complex structure and a dominating spot on the stellar disk | We present near-infrared interferometry of the carbon-rich asymptotic giant
branch (AGB) star R Sculptoris.
The visibility data indicate a broadly circular resolved stellar disk with a
complex substructure. The observed AMBER squared visibility values show drops
at the positions of CO and CN bands, indicating that th... | 0 | 1 | 0 | 0 | 0 | 0 |
Intrinsically Sparse Long Short-Term Memory Networks | Long Short-Term Memory (LSTM) has achieved state-of-the-art performances on a
wide range of tasks. Its outstanding performance is guaranteed by the long-term
memory ability which matches the sequential data perfectly and the gating
structure controlling the information flow. However, LSTMs are prone to be
memory-band... | 1 | 0 | 0 | 0 | 0 | 0 |
Inferencing into the void: problems with implicit populations Comments on `Empirical software engineering experts on the use of students and professionals in experiments' | I welcome the contribution from Falessi et al. [1] hereafter referred to as
F++ , and the ensuing debate. Experimentation is an important tool within
empirical software engineering, so how we select participants is clearly a
relevant question. Moreover as F++ point out, the question is considerably more
nuanced than ... | 1 | 0 | 0 | 0 | 0 | 0 |
NoScope: Optimizing Neural Network Queries over Video at Scale | Recent advances in computer vision-in the form of deep neural networks-have
made it possible to query increasing volumes of video data with high accuracy.
However, neural network inference is computationally expensive at scale:
applying a state-of-the-art object detector in real time (i.e., 30+ frames per
second) to ... | 1 | 0 | 0 | 0 | 0 | 0 |
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization | Recent research implies that training and inference of deep neural networks
(DNN) can be computed with low precision numerical representations of the
training/test data, weights and gradients without a general loss in accuracy.
The benefit of such compact representations is twofold: they allow a
significant reduction... | 1 | 0 | 0 | 1 | 0 | 0 |
Information-geometrical characterization of statistical models which are statistically equivalent to probability simplexes | The probability simplex is the set of all probability distributions on a
finite set and is the most fundamental object in the finite probability theory.
In this paper we give a characterization of statistical models on finite sets
which are statistically equivalent to probability simplexes in terms of
$\alpha$-famili... | 1 | 0 | 1 | 1 | 0 | 0 |
The Network Nullspace Property for Compressed Sensing of Big Data over Networks | We present a novel condition, which we term the net- work nullspace property,
which ensures accurate recovery of graph signals representing massive
network-structured datasets from few signal values. The network nullspace
property couples the cluster structure of the underlying network-structure with
the geometry of ... | 1 | 0 | 0 | 1 | 0 | 0 |
On physically redundant and irrelevant features when applying Lie-group symmetry analysis to hydrodynamic stability analysis | Every linear system of partial differential equations (PDEs) admits a scaling
symmetry in its dependent variables. In conjunction with other admitted
symmetries of linear type, the associated invariant solution condition poses a
linear eigenvalue problem. If this problem is structured such that the spectral
theorem a... | 0 | 1 | 0 | 0 | 0 | 0 |
Transforming Musical Signals through a Genre Classifying Convolutional Neural Network | Convolutional neural networks (CNNs) have been successfully applied on both
discriminative and generative modeling for music-related tasks. For a
particular task, the trained CNN contains information representing the decision
making or the abstracting process. One can hope to manipulate existing music
based on this '... | 1 | 0 | 0 | 0 | 0 | 0 |
AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture | Dominant approaches to action detection can only provide sub-optimal
solutions to the problem, as they rely on seeking frame-level detections, to
later compose them into "action tubes" in a post-processing step. With this
paper we radically depart from current practice, and take a first step towards
the design and im... | 1 | 0 | 0 | 0 | 0 | 0 |
Adaptive Estimation in Structured Factor Models with Applications to Overlapping Clustering | This work introduces a novel estimation method, called LOVE, of the entries
and structure of a loading matrix A in a sparse latent factor model X = AZ + E,
for an observable random vector X in Rp, with correlated unobservable factors Z
\in RK, with K unknown, and independent noise E. Each row of A is scaled and
spars... | 0 | 0 | 1 | 1 | 0 | 0 |
Asymptotic profile of solutions for some wave equations with very strong structural damping | We consider the Cauchy problem in R^n for some types of damped wave
equations. We derive asymptotic profiles of solutions with weighted
L^{1,1}(R^n) initial data by employing a simple method introduced by the first
author. The obtained results will include regularity loss type estimates, which
are essentially new in ... | 0 | 0 | 1 | 0 | 0 | 0 |
Spontaneous generation of fractional vortex-antivortex pairs at single edges of high-Tc superconductors | Unconventional d-wave superconductors with pair-breaking edges are predicted
to have ground states with spontaneously broken time-reversal and translational
symmetries. We use the quasiclassical theory of superconductivity to
demonstrate that such phases can exist at any single pair-breaking facet. This
implies that ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Survey of Neuromorphic Computing and Neural Networks in Hardware | Neuromorphic computing has come to refer to a variety of brain-inspired
computers, devices, and models that contrast the pervasive von Neumann computer
architecture. This biologically inspired approach has created highly connected
synthetic neurons and synapses that can be used to model neuroscience theories
as well ... | 1 | 0 | 0 | 0 | 0 | 0 |
Junctions of refined Wilson lines and one-parameter deformation of quantum groups | We study junctions of Wilson lines in refined SU(N) Chern-Simons theory and
their local relations. We focus on junctions of Wilson lines in antisymmetric
and symmetric powers of the fundamental representation and propose a set of
local relations which realize one-parameter deformations of quantum groups
$\dot{U}_{q}(... | 0 | 0 | 1 | 0 | 0 | 0 |
Online estimation of the asymptotic variance for averaged stochastic gradient algorithms | Stochastic gradient algorithms are more and more studied since they can deal
efficiently and online with large samples in high dimensional spaces. In this
paper, we first establish a Central Limit Theorem for these estimates as well
as for their averaged version in general Hilbert spaces. Moreover, since having
the a... | 0 | 0 | 1 | 1 | 0 | 0 |
The response of the terrestrial bow shock and magnetopause of the long term decline in solar polar fields | The location of the terrestrial magnetopause (MP) and it's subsolar stand-off
distance depends not only on the solar wind dynamic pressure and the
interplanetary magnetic field (IMF), both of which play a crucial role in
determining it's shape, but also on the nature of the processes involved in the
interaction betwe... | 0 | 1 | 0 | 0 | 0 | 0 |
Superconductivity of barium-VI synthesized via compression at low temperatures | Using a membrane-driven diamond anvil cell and both ac magnetic
susceptibility and electrical resistivity measurements, we have characterized
the superconducting phase diagram of elemental barium to pressures as high as
65 GPa. We have determined the superconducting properties of the recently
discovered Ba-VI crystal... | 0 | 1 | 0 | 0 | 0 | 0 |
Self-Supervised Damage-Avoiding Manipulation Strategy Optimization via Mental Simulation | Everyday robotics are challenged to deal with autonomous product handling in
applications like logistics or retail, possibly causing damage on the items
during manipulation. Traditionally, most approaches try to minimize physical
interaction with goods. However, we propose to take into account any unintended
motion o... | 1 | 0 | 0 | 0 | 0 | 0 |
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware | Malware is constantly adapting in order to avoid detection. Model based
malware detectors, such as SVM and neural networks, are vulnerable to so-called
adversarial examples which are modest changes to detectable malware that allows
the resulting malware to evade detection. Continuous-valued methods that are
robust to... | 0 | 0 | 0 | 1 | 0 | 0 |
Simple closed curves, finite covers of surfaces, and power subgroups of Out(F_n) | We construct examples of finite covers of punctured surfaces where the first
rational homology is not spanned by lifts of simple closed curves. More
generally, for any set $\mathcal{O} \subset F_n$ which is contained in the
union of finitely many $Aut(F_n)$-orbits, we construct finite-index normal
subgroups of $F_n$ ... | 0 | 0 | 1 | 0 | 0 | 0 |
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision | Training convolutional networks (CNN's) that fit on a single GPU with
minibatch stochastic gradient descent has become effective in practice.
However, there is still no effective method for training large CNN's that do
not fit in the memory of a few GPU cards, or for parallelizing CNN training. In
this work we show t... | 1 | 0 | 0 | 1 | 0 | 0 |
Single-hole GPR reflection imaging of solute transport in a granitic aquifer | Identifying transport pathways in fractured rock is extremely challenging as
flow is often organized in a few fractures that occupy a very small portion of
the rock volume. We demonstrate that saline tracer experiments combined with
single-hole ground penetrating radar (GPR) reflection imaging can be used to
monitor ... | 0 | 1 | 0 | 0 | 0 | 0 |
Episodic Torque-Luminosity Correlations and Anticorrelations of GX 1+4 | We analyse archival CGRO-BATSE X-ray flux and spin frequency measurements of
GX 1+4 over a time span of 3000 days. We systematically search for time
dependent variations of torque luminosity correlation. Our preliminary results
indicate that the correlation shifts from being positive to negative on time
scales of few... | 0 | 1 | 0 | 0 | 0 | 0 |
Applications of Fractional Calculus to Newtonian Mechanics | We investigate some basic applications of Fractional Calculus (FC) to
Newtonian mechanics. After a brief review of FC, we consider a possible
generalization of Newton's second law of motion and apply it to the case of a
body subject to a constant force. In our second application of FC to Newtonian
gravity, we conside... | 0 | 1 | 0 | 0 | 0 | 0 |
Radial Surface Density Profiles of Gas and Dust in the Debris Disk around 49 Ceti | We present ~0.4 resolution images of CO(3-2) and associated continuum
emission from the gas-bearing debris disk around the nearby A star 49 Ceti,
observed with the Atacama Large Millimeter/Submillimeter Array (ALMA). We
analyze the ALMA visibilities in tandem with the broad-band spectral energy
distribution to measur... | 0 | 1 | 0 | 0 | 0 | 0 |
Spontaneously broken translational symmetry at edges of high-temperature superconductors: thermodynamics in magnetic field | We investigate equilibrium properties, including structure of the order
parameter, superflow patterns, and thermodynamics of low-temperature surface
phases of layered d_{x^2-y^2}-wave superconductors in magnetic field. At zero
external magnetic field, time-reversal symmetry and continuous translational
symmetry along... | 0 | 1 | 0 | 0 | 0 | 0 |
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