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 |
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Diffuse Gamma Rays in 3D Galactic Cosmic-ray Propagation Models | The Picard code for the numerical solution of the Galactic cosmic ray
propagation problem allows for high-resolution models that acknowledge the 3D
structure of our Galaxy. Picard was used to determine diffuse gamma-ray
emission of the Galaxy over the energy range from 100 MeV to 100 TeV. We
discuss the impact of a c... | 0 | 1 | 0 | 0 | 0 | 0 |
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference | We propose a simple and general variant of the standard reparameterized
gradient estimator for the variational evidence lower bound. Specifically, we
remove a part of the total derivative with respect to the variational
parameters that corresponds to the score function. Removing this term produces
an unbiased gradien... | 1 | 0 | 0 | 1 | 0 | 0 |
Consistent hydrodynamic theory of chiral electrons in Weyl semimetals | The complete set of Maxwell's and hydrodynamic equations for the chiral
electrons in Weyl semimetals is presented. The formulation of the Euler
equation takes into account the explicit breaking of the Galilean invariance by
the ion lattice. It is shown that the Chern-Simons (or Bardeen-Zumino)
contributions should be... | 0 | 1 | 0 | 0 | 0 | 0 |
Design and Processing of Invertible Orientation Scores of 3D Images for Enhancement of Complex Vasculature | The enhancement and detection of elongated structures in noisy image data is
relevant for many biomedical imaging applications. To handle complex crossing
structures in 2D images, 2D orientation scores $U: \mathbb{R} ^ 2\times S ^ 1
\rightarrow \mathbb{C}$ were introduced, which already showed their use in a
variety ... | 1 | 0 | 0 | 0 | 0 | 0 |
The origin and early evolution of life in chemical complexity space | Life can be viewed as a localized chemical system that sits on, or in the
basin of attraction of, a metastable dynamical attractor state that remains out
of equilibrium with the environment. Such a view of life allows that new living
states can arise through chance changes in local chemical concentration
(=mutations)... | 0 | 0 | 0 | 0 | 1 | 0 |
Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres | Functional data analysis on nonlinear manifolds has drawn recent interest.
Sphere-valued functional data, which are encountered for example as movement
trajectories on the surface of the earth, are an important special case. We
consider an intrinsic principal component analysis for smooth Riemannian
manifold-valued f... | 0 | 0 | 1 | 1 | 0 | 0 |
Braids with as many full twists as strands realize the braid index | We characterize the fractional Dehn twist coefficient of a braid in terms of
a slope of the homogenization of the Upsilon function, where Upsilon is the
function-valued concordance homomorphism defined by Ozsváth, Stipsicz, and
Szabó. We use this characterization to prove that $n$-braids with fractional
Dehn twist co... | 0 | 0 | 1 | 0 | 0 | 0 |
The Formal Semantics of Rascal Light | Rascal is a high-level transformation language that aims to simplify software
language engineering tasks like defining program syntax, analyzing and
transforming programs, and performing code generation. The language provides
several features including built-in collections (lists, sets, maps), algebraic
data-types, p... | 1 | 0 | 0 | 0 | 0 | 0 |
On inverse and right inverse ordered semigroups | A regular ordered semigroup $S$ is called right inverse if every principal
left ideal of $S$ is generated by an $\mathcal{R}$-unique ordered idempotent.
Here we explore the theory of right inverse ordered semigroups. We show that a
regular ordered semigroup is right inverse if and only if any two right
inverses of an... | 0 | 0 | 1 | 0 | 0 | 0 |
Refining the Two-Dimensional Signed Small Ball Inequality | The two-dimensional signed small ball inequality states that for all possible
choices of signs, $$ \left\| \sum_{|R| = 2^{-n}}{ \varepsilon_R h_R}
\right\|_{L^{\infty}} \gtrsim n,$$ where the summation runs over all dyadic
rectangles in the unit square and $h_R$ denotes the associated Haar function.
This inequality f... | 0 | 0 | 1 | 0 | 0 | 0 |
The structure, capability and the Schur multiplier of generalized Heisenberg Lie algebras | From [Problem 1729, Groups of prime power order, Vol. 3], Berkovich et al.
asked to obtain the Schur multiplier and the representation of a group $G$,
when $G$ is a special $p$-group minimally generated by $d$ elements and
$|G'|=p^{\frac{1}{2}d(d-1)}$. Since there are analogies between groups and Lie
algebras, we int... | 0 | 0 | 1 | 0 | 0 | 0 |
Fractional Brownian markets with time-varying volatility and high-frequency data | Diffusion processes driven by Fractional Brownian motion (FBM) have often
been considered in modeling stock price dynamics in order to capture the long
range dependence of stock price observed in reality. Option prices for such
models had been obtained by Necula (2002) under constant drift and volatility.
We obtain o... | 0 | 0 | 1 | 1 | 0 | 0 |
Experimental GHZ Entanglement beyond Qubits | The Greenberger-Horne-Zeilinger (GHZ) argument provides an all-or-nothing
contradiction between quantum mechanics and local-realistic theories. In its
original formulation, GHZ investigated three and four particles entangled in
two dimensions only. Very recently, higher dimensional contradictions
especially in three ... | 0 | 1 | 0 | 0 | 0 | 0 |
On global Okounkov bodies of spherical varieties | We define and study the global Okounkov moment cone of a projective spherical
variety X, generalizing both the global Okounkov body and the moment body of X
defined by Kaveh and Khovanskii. Under mild assumptions on X we show that the
global Okounkov moment cone of X is rational polyhedral. As a consequence, also
the... | 0 | 0 | 1 | 0 | 0 | 0 |
From the simple reacting sphere kinetic model to the reaction-diffusion system of Maxwell-Stefan type | In this paper we perform a formal asymptotic analysis on a kinetic model for
reactive mixtures in order to derive a reaction-diffusion system of
Maxwell-Stefan type. More specifically, we start from the kinetic model of
simple reacting spheres for a quaternary mixture of monatomic ideal gases that
undergoes a reversi... | 0 | 1 | 0 | 0 | 0 | 0 |
Origin of soft glassy rheology in the cytoskeleton | Dynamically crosslinked semiflexible biopolymers such as the actin
cytoskeleton govern the mechanical behavior of living cells. Semiflexible
biopolymers stiffen nonlinearly in response to mechanical loads, whereas the
crosslinker dynamics allow for stress relaxation over time. Here we show,
through rheology and theor... | 0 | 0 | 0 | 0 | 1 | 0 |
Pattern Search Multidimensional Scaling | We present a novel view of nonlinear manifold learning using derivative-free
optimization techniques. Specifically, we propose an extension of the classical
multi-dimensional scaling (MDS) method, where instead of performing gradient
descent, we sample and evaluate possible "moves" in a sphere of fixed radius
for eac... | 0 | 0 | 0 | 1 | 0 | 0 |
MH370 Burst Frequency Offset Analysis and Implications on Descent Rate at End-of-Flight | Malaysian Airlines flight MH370 veered off course unexpectedly during a
scheduled trip from Kuala Lumpur to Beijing on the 7th of March 2014. MH370 was
tracked via military radar into the Malacca Straits and, after disappearing
from radar, was subsequently believed to have turned south towards the southern
Indian Oce... | 0 | 0 | 0 | 1 | 0 | 0 |
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks | We investigate the addition of symmetry and temporal context information to a
deep Convolutional Neural Network (CNN) with the purpose of detecting malignant
soft tissue lesions in mammography. We employ a simple linear mapping that
takes the location of a mass candidate and maps it to either the contra-lateral
or pr... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Echo State Network (DeepESN): A Brief Survey | The study of deep recurrent neural networks (RNNs) and, in particular, of
deep Reservoir Computing (RC) is gaining an increasing research attention in
the neural networks community. The recently introduced deep Echo State Network
(deepESN) model opened the way to an extremely efficient approach for designing
deep neu... | 1 | 0 | 0 | 1 | 0 | 0 |
Computational topology of graphs on surfaces | Computational topology is an area that revisits topological problems from an
algorithmic point of view, and develops topological tools for improved
algorithms. We survey results in computational topology that are concerned with
graphs drawn on surfaces. Typical questions include representing surfaces and
graphs embed... | 1 | 0 | 1 | 0 | 0 | 0 |
Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study | In this work, we formulated a real-world problem related to sewer pipeline
gas detection using the classification-based approaches. The primary goal of
this work was to identify the hazardousness of sewer pipeline to offer safe and
non-hazardous access to sewer pipeline workers so that the human fatalities,
which occ... | 1 | 0 | 0 | 0 | 0 | 0 |
The rational points on certain Abelian varieties over function fields | In this paper, we consider Abelian varieties over function fields that arise
as twists of Abelian varieties by cyclic covers of irreducible quasi-projective
varieties. Then, in terms of Prym varieties associated to the cyclic covers, we
prove a structure theorem on their Mordell-Weil group. Our results give an
explic... | 0 | 0 | 1 | 0 | 0 | 0 |
Multivariate inhomogeneous diffusion models with covariates and mixed effects | Modeling of longitudinal data often requires diffusion models that
incorporate overall time-dependent, nonlinear dynamics of multiple components
and provide sufficient flexibility for subject-specific modeling. This
complexity challenges parameter inference and approximations are inevitable. We
propose a method for a... | 0 | 0 | 1 | 1 | 0 | 0 |
Stability of patterns in the Abelian sandpile | We show that the patterns in the Abelian sandpile are stable. The proof
combines the structure theory for the patterns with the regularity machinery
for non-divergence form elliptic equations. The stability results allows one to
improve weak-* convergence of the Abelian sandpile to pattern convergence for
certain cla... | 0 | 0 | 1 | 0 | 0 | 0 |
Position Heaps for Parameterized Strings | We propose a new indexing structure for parameterized strings, called
parameterized position heap. Parameterized position heap is applicable for
parameterized pattern matching problem, where the pattern matches a substring
of the text if there exists a bijective mapping from the symbols of the pattern
to the symbols ... | 1 | 0 | 0 | 0 | 0 | 0 |
Quasi-Steady Model of a Pumping Kite Power System | The traction force of a kite can be used to drive a cyclic motion for
extracting wind energy from the atmosphere. This paper presents a novel
quasi-steady modelling framework for predicting the power generated over a full
pumping cycle. The cycle is divided into traction, retraction and transition
phases, each descri... | 1 | 0 | 1 | 0 | 0 | 0 |
Expansion of pinched hypersurfaces of the Euclidean and hyperbolic space by high powers of curvature | We prove convergence results for expanding curvature flows in the Euclidean
and hyperbolic space. The flow speeds have the form $F^{-p}$, where $p>1$ and
$F$ is a positive, strictly monotone and 1-homogeneous curvature function. In
particular this class includes the mean curvature $F=H$. We prove that a
certain initi... | 0 | 0 | 1 | 0 | 0 | 0 |
Sound Mixed-Precision Optimization with Rewriting | Finite-precision arithmetic computations face an inherent tradeoff between
accuracy and efficiency. The points in this tradeoff space are determined,
among other factors, by different data types but also evaluation orders. To put
it simply, the shorter a precision's bit-length, the larger the roundoff error
will be, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Negative thermal expansion and metallophilicity in Cu$_3$[Co(CN)$_6$] | We report the synthesis and structural characterisation of the molecular
framework copper(I) hexacyanocobaltate(III), Cu$_3$[Co(CN)$_6$], which we find
to be isostructural to H$_3$[Co(CN)$_6$] and the colossal negative thermal
expansion material Ag$_3$[Co(CN)$_6$]. Using synchrotron X-ray powder
diffraction measureme... | 0 | 1 | 0 | 0 | 0 | 0 |
Quantum Fluctuations along Symmetry Crossover in Kondo-correlated Quantum Dot | Universal properties of entangled many-body states are controlled by their
symmetry and quantum fluctuations. By magnetic-field tuning of the spin-orbital
degeneracy in a Kondo-correlated quantum dot, we have modified quantum
fluctuations to directly measure their influence on the many-body properties
along the cross... | 0 | 1 | 0 | 0 | 0 | 0 |
Impossibility results on stability of phylogenetic consensus methods | We answer two questions raised by Bryant, Francis and Steel in their work on
consensus methods in phylogenetics. Consensus methods apply to every practical
instance where it is desired to aggregate a set of given phylogenetic trees
(say, gene evolution trees) into a resulting, "consensus" tree (say, a species
tree). ... | 0 | 0 | 0 | 0 | 1 | 0 |
Improved Distributed Degree Splitting and Edge Coloring | The degree splitting problem requires coloring the edges of a graph red or
blue such that each node has almost the same number of edges in each color, up
to a small additive discrepancy. The directed variant of the problem requires
orienting the edges such that each node has almost the same number of incoming
and out... | 1 | 0 | 0 | 0 | 0 | 0 |
Global geometry and $C^1$ convex extensions of $1$-jets | Let $E$ be an arbitrary subset of $\mathbb{R}^n$ (not necessarily bounded),
and $f:E\to\mathbb{R}$, $G:E\to\mathbb{R}^n$ be functions. We provide necessary
and sufficient conditions for the $1$-jet $(f,G)$ to have an extension $(F,
\nabla F)$ with $F:\mathbb{R}^n\to\mathbb{R}$ convex and of class $C^{1}$.
Besides, if... | 0 | 0 | 1 | 0 | 0 | 0 |
Interpretable Deep Learning applied to Plant Stress Phenotyping | Availability of an explainable deep learning model that can be applied to
practical real world scenarios and in turn, can consistently, rapidly and
accurately identify specific and minute traits in applicable fields of
biological sciences, is scarce. Here we consider one such real world example
viz., accurate identif... | 1 | 0 | 0 | 1 | 0 | 0 |
Differentiable Compositional Kernel Learning for Gaussian Processes | The generalization properties of Gaussian processes depend heavily on the
choice of kernel, and this choice remains a dark art. We present the Neural
Kernel Network (NKN), a flexible family of kernels represented by a neural
network. The NKN architecture is based on the composition rules for kernels, so
that each uni... | 0 | 0 | 0 | 1 | 0 | 0 |
Airy structures and symplectic geometry of topological recursion | We propose a new approach to the topological recursion of Eynard-Orantin
based on the notion of Airy structure, which we introduce in the paper. We
explain why Airy structure is a more fundamental object than the one of the
spectral curve. We explain how the concept of quantization of Airy structure
leads naturally t... | 0 | 0 | 1 | 0 | 0 | 0 |
Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes | Exploiting the theory of state space models, we derive the exact expressions
of the information transfer, as well as redundant and synergistic transfer, for
coupled Gaussian processes observed at multiple temporal scales. All of the
terms, constituting the frameworks known as interaction information
decomposition and... | 0 | 0 | 1 | 1 | 0 | 0 |
Transforming Speed Sequences into Road Rays on the Map with Elastic Pathing | Advances in technology have provided ways to monitor and measure driving
behavior. Recently, this technology has been applied to usage-based automotive
insurance policies that offer reduced insurance premiums to policy holders who
opt-in to automotive monitoring. Several companies claim to measure only speed
data, wh... | 1 | 0 | 0 | 0 | 0 | 0 |
Solitons and geometrical structures in a perfect fluid spacetime | Geometrical aspects of a perfect fluid spacetime are described in terms of
different curvature tensors and $\eta$-Ricci and $\eta$-Einstein solitons in a
perfect fluid spacetime are determined. Conditions for the Ricci soliton to be
steady, expanding or shrinking are also given. In a particular case when the
potentia... | 0 | 0 | 1 | 0 | 0 | 0 |
Hemodynamics of a Bileaflet Mechanical Heart Valve with Different Levels of Dysfunction | Heart disease is one of leading causes of mortality worldwide. Healthy heart
valves are key for proper heart function. When these valves dysfunction, a
replacement is often necessary in severe cases. The current study presents an
investigation of the pulsatile blood flow through a bileaflet mechanical heart
valve (BM... | 0 | 1 | 0 | 0 | 0 | 0 |
Nonnegative Hermitian vector bundles and Chern numbers | We show in this article that if a holomorphic vector bundle has a nonnegative
Hermitian metric in the sense of Bott and Chern, which always exists on
globally generated holomorphic vector bundles, then some special linear
combinations of Chern forms are strongly nonnegative. This particularly implies
that all the Che... | 0 | 0 | 1 | 0 | 0 | 0 |
The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing | Graph processing is becoming increasingly prevalent across many application
domains. In spite of this prevalence, there is little research about how graphs
are actually used in practice. We conducted an online survey aimed at
understanding: (i) the types of graphs users have; (ii) the graph computations
users run; (i... | 1 | 0 | 0 | 0 | 0 | 0 |
On the classification of four-dimensional gradient Ricci solitons | In this paper, we prove some classification results for four-dimensional
gradient Ricci solitons. For a four-dimensional gradient shrinking Ricci
soliton with $div^4Rm^\pm=0$, we show that it is either Einstein or a finite
quotient of $\mathbb{R}^4$, $\mathbb{S}^2\times\mathbb{R}^2$ or
$\mathbb{S}^3\times\mathbb{R}$.... | 0 | 0 | 1 | 0 | 0 | 0 |
In-gap bound states induced by a single nonmagnetic impurity in sign-preserving s-wave superconductors with incipient bands | We have investigated the in-gap bound states (IGBS) induced by a single
nonmagnetic impurity in multiband superconductors with incipient bands.
Contrary to the naive expectation, we found that even if the superconducting
(SC) order parameter is sign-preserving s-wave on the Fermi surfaces, the
incipient bands may sti... | 0 | 1 | 0 | 0 | 0 | 0 |
Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system | It is true that the "best" neural network is not necessarily the one with the
most "brain-like" behavior. Understanding biological intelligence, however, is
a fundamental goal for several distinct disciplines. Translating our
understanding of intelligence to machines is a fundamental problem in robotics.
Propelled by... | 0 | 0 | 0 | 0 | 1 | 0 |
Calculation of thallium hyperfine anomaly | We suggest a method to calculate hyperfine anomaly for many-electron atoms
and ions. At first, we tested this method by calculating hyperfine anomaly for
hydrogen-like thallium ion and obtained fairly good agreement with analytical
expressions. Then we did calculations for the neutral thallium and tested an
assumptio... | 0 | 1 | 0 | 0 | 0 | 0 |
Elliptic supersymmetric integrable model and multivariable elliptic functions | We investigate the elliptic integrable model introduced by Deguchi and
Martin, which is an elliptic extension of the Perk-Schultz model. We introduce
and study a class of partition functions of the elliptic model by using the
Izergin-Korepin analysis. We show that the partition functions are expressed as
a product of... | 0 | 1 | 0 | 0 | 0 | 0 |
Crystalline Electric Field Randomness in the Triangular Lattice Spin-Liquid YbMgGaO$_4$ | We apply moderate-high-energy inelastic neutron scattering (INS) measurements
to investigate Yb$^{3+}$ crystalline electric field (CEF) levels in the
triangular spin-liquid candidate YbMgGaO$_4$. Three CEF excitations from the
ground-state Kramers doublet are centered at the energies $\hbar \omega$ = 39,
61, and 97\,... | 0 | 1 | 0 | 0 | 0 | 0 |
Quadrics and Scherk towers | We investigate the relation between quadrics and their Christoffel duals on
the one hand, and certain zero mean curvature surfaces and their Gauss maps on
the other hand. To study the relation between timelike minimal surfaces and the
Christoffel duals of 1-sheeted hyperboloids we introduce para-holomorphic
elliptic ... | 0 | 0 | 1 | 0 | 0 | 0 |
Scalable Greedy Feature Selection via Weak Submodularity | Greedy algorithms are widely used for problems in machine learning such as
feature selection and set function optimization. Unfortunately, for large
datasets, the running time of even greedy algorithms can be quite high. This is
because for each greedy step we need to refit a model or calculate a function
using the p... | 1 | 0 | 0 | 1 | 0 | 0 |
Budget-Constrained Multi-Armed Bandits with Multiple Plays | We study the multi-armed bandit problem with multiple plays and a budget
constraint for both the stochastic and the adversarial setting. At each round,
exactly $K$ out of $N$ possible arms have to be played (with $1\leq K \leq N$).
In addition to observing the individual rewards for each arm played, the player
also l... | 1 | 0 | 0 | 1 | 0 | 0 |
Thermalized Axion Inflation | We analyze the dynamics of inflationary models with a coupling of the
inflaton $\phi$ to gauge fields of the form $\phi F \tilde{F}/f$, as in the
case of axions. It is known that this leads to an instability, with exponential
amplification of gauge fields, controlled by the parameter $\xi=
\dot{\phi}/(2fH)$, which ca... | 0 | 1 | 0 | 0 | 0 | 0 |
A Data-Driven Approach to Extract Connectivity Structures from Diffusion Tensor Imaging Data | Diffusion Tensor Imaging (DTI) is an effective tool for the analysis of
structural brain connectivity in normal development and in a broad range of
brain disorders. However efforts to derive inherent characteristics of
structural brain networks have been hampered by the very high dimensionality of
the data, relativel... | 0 | 0 | 0 | 1 | 1 | 0 |
A survey of location inference techniques on Twitter | The increasing popularity of the social networking service, Twitter, has made
it more involved in day-to-day communications, strengthening social
relationships and information dissemination. Conversations on Twitter are now
being explored as indicators within early warning systems to alert of imminent
natural disaste... | 1 | 0 | 0 | 0 | 0 | 0 |
Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning | Manual segmentation of the Left Ventricle (LV) is a tedious and meticulous
task that can vary depending on the patient, the Magnetic Resonance Images
(MRI) cuts and the experts. Still today, we consider manual delineation done by
experts as being the ground truth for cardiac diagnosticians. Thus, we are
reviewing the... | 0 | 0 | 0 | 1 | 0 | 0 |
Curvature-driven stability of defects in nematic textures over spherical disks | Stabilizing defects in liquid-crystal systems is crucial for many physical
processes and applications ranging from functionalizing liquid-crystal textures
to recently reported command of chaotic behaviors of active matters. In this
work, we perform analytical calculations to study the curvature driven
stability mecha... | 0 | 1 | 0 | 0 | 0 | 0 |
Heterogeneous nucleation of catalyst-free InAs nanowires on silicon | We report on the heterogeneous nucleation of catalyst-free InAs nanowires on
Si (111) substrates by chemical beam epitaxy. We show that nanowire nucleation
is enhanced by sputtering the silicon substrate with energetic particles. We
argue that particle bombardment introduces lattice defects on the silicon
surface tha... | 0 | 1 | 0 | 0 | 0 | 0 |
Random Transverse Field Spin-Glass Model on the Cayley tree : phase transition between the two Many-Body-Localized Phases | The quantum Ising model with random couplings and random transverse fields on
the Cayley tree is studied by Real-Space-Renormalization in order to construct
the whole set of eigenstates. The renormalization rules are analyzed via large
deviations. The phase transition between the paramagnetic and the spin-glass
Many-... | 0 | 1 | 0 | 0 | 0 | 0 |
Femtosecond laser inscription of Bragg grating waveguides in bulk diamond | Femtosecond laser writing is applied to form Bragg grating waveguides in the
diamond bulk. Type II waveguides are integrated with a single pulse
point-by-point periodic laser modification positioned towards the edge of the
waveguide core. These photonic devices, operating in the telecommunications
band, allow for sim... | 0 | 1 | 0 | 0 | 0 | 0 |
FORM version 4.2 | We introduce FORM 4.2, a new minor release of the symbolic manipulation
toolkit. We demonstrate several new features, such as a new pattern matching
option, new output optimization, and automatic expansion of rational functions.
| 1 | 0 | 0 | 0 | 0 | 0 |
An Analysis of Two Common Reference Points for EEGs | Clinical electroencephalographic (EEG) data varies significantly depending on
a number of operational conditions (e.g., the type and placement of electrodes,
the type of electrical grounding used). This investigation explores the
statistical differences present in two different referential montages: Linked
Ear (LE) a... | 0 | 0 | 0 | 1 | 0 | 0 |
A Concurrency-Optimal Binary Search Tree | The paper presents the first \emph{concurrency-optimal} implementation of a
binary search tree (BST). The implementation, based on a standard sequential
implementation of an internal tree, ensures that every \emph{schedule} is
accepted, i.e., interleaving of steps of the sequential code, unless
linearizability is vio... | 1 | 0 | 0 | 0 | 0 | 0 |
Controlling seizure propagation in large-scale brain networks | Information transmission in the human brain is a fundamentally dynamic
network process. In partial epilepsy, this process is perturbed and highly
synchronous seizures originate in a local network, the so-called epileptogenic
zone (EZ), before recruiting other close or distant brain regions. We studied
patient-specifi... | 0 | 0 | 0 | 0 | 1 | 0 |
DroidStar: Callback Typestates for Android Classes | Event-driven programming frameworks, such as Android, are based on components
with asynchronous interfaces. The protocols for interacting with these
components can often be described by finite-state machines we dub *callback
typestates*. Callback typestates are akin to classical typestates, with the
difference that t... | 1 | 0 | 0 | 0 | 0 | 0 |
Piezoelectricity for Nondestructive Testing of Crystal Surfaces | A stress is applied at the flat face and the apex of a prismatic
piezoelectric crystal. The voltage generated at these points differs in order
of magnitude. The result may be used to nondestructively test the uniformity of
surfaces of piezoelectric crystals.
| 0 | 1 | 0 | 0 | 0 | 0 |
ALMA Observations of Starless Core Substructure in Ophiuchus | Compact substructure is expected to arise in a starless core as mass becomes
concentrated in the central region likely to form a protostar. Additionally,
multiple peaks may form if fragmentation occurs. We present ALMA Cycle 2
observations of 60 starless and protostellar cores in the Ophiuchus molecular
cloud. We det... | 0 | 1 | 0 | 0 | 0 | 0 |
Neuron-inspired flexible memristive device on silicon (100) | Comprehensive understanding of the world's most energy efficient powerful
computer, the human brain, is an elusive scientific issue. Still, already
gained knowledge indicates memristors can be used as a building block to model
the brain. At the same time, brain cortex is folded allowing trillions of
neurons to be int... | 0 | 1 | 0 | 0 | 0 | 0 |
Detecting laws in power subgroups | A group law is said to be detectable in power subgroups if, for all coprime
$m$ and $n$, a group $G$ satisfies the law if and only if the power subgroups
$G^m$ and $G^n$ both satisfy the law. We prove that for all positive integers
$c$, nilpotency of class at most $c$ is detectable in power subgroups, as is
the $k$-E... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data | Classifiers deployed in the real world operate in a dynamic environment,
where the data distribution can change over time. These changes, referred to as
concept drift, can cause the predictive performance of the classifier to drop
over time, thereby making it obsolete. To be of any real use, these classifiers
need to... | 1 | 0 | 0 | 1 | 0 | 0 |
Exploiting generalization in the subspaces for faster model-based learning | Due to the lack of enough generalization in the state-space, common methods
in Reinforcement Learning (RL) suffer from slow learning speed especially in
the early learning trials. This paper introduces a model-based method in
discrete state-spaces for increasing learning speed in terms of required
experience (but not... | 1 | 0 | 0 | 1 | 0 | 0 |
Quasitriangular structure and twisting of the 2+1 bicrossproduct model | We show that the bicrossproduct model
$C[SU_2^*]{\blacktriangleright\!\!\triangleleft} U(su_2)$ quantum Poincare
group in 2+1 dimensions acting on the quantum spacetime $[x_i,t]=\imath\lambda
x_i$ is related by a Drinfeld and module-algebra twist to the quantum double
$U(su_2)\ltimes C[SU_2]$ acting on the quantum sp... | 0 | 0 | 1 | 0 | 0 | 0 |
Can simple transmission chains foster collective intelligence in binary-choice tasks? | In many social systems, groups of individuals can find remarkably efficient
solutions to complex cognitive problems, sometimes even outperforming a single
expert. The success of the group, however, crucially depends on how the
judgments of the group members are aggregated to produce the collective answer.
A large var... | 1 | 1 | 0 | 0 | 0 | 0 |
A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution | Entity resolution (ER) is the task of identifying all records in a database
that refer to the same underlying entity, and are therefore duplicates of each
other. Due to inherent ambiguity of data representation and poor data quality,
ER is a challenging task for any automated process. As a remedy, human-powered
ER vi... | 1 | 0 | 0 | 0 | 0 | 0 |
Dependency resolution and semantic mining using Tree Adjoining Grammars for Tamil Language | Tree adjoining grammars (TAGs) provide an ample tool to capture syntax of
many Indian languages. Tamil represents a special challenge to computational
formalisms as it has extensive agglutinative morphology and a comparatively
difficult argument structure. Modelling Tamil syntax and morphology using TAG
is an interes... | 1 | 0 | 0 | 0 | 0 | 0 |
Loop conditions | We discuss such Maltsev conditions that consist of just one linear equation,
we call them loop conditions. To every such condition can be assigned a graph.
We provide a classification of conditions with undirected graphs. It follows
that the Siggers term is the weakest non-trivial loop condition.
| 0 | 0 | 1 | 0 | 0 | 0 |
Impact of Feature Selection on Micro-Text Classification | Social media datasets, especially Twitter tweets, are popular in the field of
text classification. Tweets are a valuable source of micro-text (sometimes
referred to as "micro-blogs"), and have been studied in domains such as
sentiment analysis, recommendation systems, spam detection, clustering, among
others. Tweets ... | 1 | 0 | 0 | 0 | 0 | 0 |
One-Shot Learning of Multi-Step Tasks from Observation via Activity Localization in Auxiliary Video | Due to burdensome data requirements, learning from demonstration often falls
short of its promise to allow users to quickly and naturally program robots.
Demonstrations are inherently ambiguous and incomplete, making correct
generalization to unseen situations difficult without a large number of
demonstrations in var... | 1 | 0 | 0 | 1 | 0 | 0 |
Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction | In this paper, we propose a simple variant of the original stochastic
variance reduction gradient (SVRG), where hereafter we refer to as the variance
reduced stochastic gradient descent (VR-SGD). Different from the choices of the
snapshot point and starting point in SVRG and its proximal variant, Prox-SVRG,
the two v... | 1 | 0 | 1 | 1 | 0 | 0 |
Concerning the Neural Code | The central problem with understanding brain and mind is the neural code
issue: understanding the matter of our brain as basis for the phenomena of our
mind. The richness with which our mind represents our environment, the
parsimony of genetic data, the tremendous efficiency with which the brain
learns from scant sen... | 0 | 0 | 0 | 0 | 1 | 0 |
Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods | In this paper, we investigate whether text from a Community Question
Answering (QA) platform can be used to predict and describe real-world
attributes. We experiment with predicting a wide range of 62 demographic
attributes for neighbourhoods of London. We use the text from QA platform of
Yahoo! Answers and compare o... | 1 | 0 | 0 | 0 | 0 | 0 |
SPASS: Scientific Prominence Active Search System with Deep Image Captioning Network | Planetary exploration missions with Mars rovers are complicated, which
generally require elaborated task planning by human experts, from the path to
take to the images to capture. NASA has been using this process to acquire over
22 million images from the planet Mars. In order to improve the degree of
automation and ... | 1 | 0 | 0 | 1 | 0 | 0 |
Nonlinear Sequential Accepts and Rejects for Identification of Top Arms in Stochastic Bandits | We address the M-best-arm identification problem in multi-armed bandits. A
player has a limited budget to explore K arms (M<K), and once pulled, each arm
yields a reward drawn (independently) from a fixed, unknown distribution. The
goal is to find the top M arms in the sense of expected reward. We develop an
algorith... | 1 | 0 | 0 | 1 | 0 | 0 |
A Machine Learning Framework to Forecast Wave Conditions | A~machine learning framework is developed to estimate ocean-wave conditions.
By supervised training of machine learning models on many thousands of
iterations of a physics-based wave model, accurate representations of
significant wave heights and period can be used to predict ocean conditions. A
model of Monterey Bay... | 0 | 1 | 0 | 0 | 0 | 0 |
Unobtrusive Deferred Update Stabilization for Efficient Geo-Replication | In this paper we propose a novel approach to manage the throughput vs latency
tradeoff that emerges when managing updates in geo-replicated systems. Our
approach consists in allowing full concurrency when processing local updates
and using a deferred local serialisation procedure before shipping updates to
remote dat... | 1 | 0 | 0 | 0 | 0 | 0 |
Exploratory Analysis of Pairwise Interactions in Online Social Networks | In the last few decades sociologists were trying to explain human behaviour
by analysing social networks, which requires access to data about interpersonal
relationships. This represented a big obstacle in this research field until the
emergence of online social networks (OSNs), which vastly facilitated the
process o... | 1 | 0 | 0 | 0 | 0 | 0 |
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation | Across a variety of scientific disciplines, sparse inverse covariance
estimation is a popular tool for capturing the underlying dependency
relationships in multivariate data. Unfortunately, most estimators are not
scalable enough to handle the sizes of modern high-dimensional data sets (often
on the order of terabyte... | 1 | 0 | 0 | 1 | 0 | 0 |
Thought Viruses and Asset Prices | We use insights from epidemiology, namely the SIR model, to study how agents
infect each other with "investment ideas." Once an investment idea "goes
viral," equilibrium prices exhibit the typical "fever peak," which is
characteristic for speculative excesses. Using our model, we identify a time
line of symptoms that... | 0 | 0 | 0 | 0 | 0 | 1 |
Walking Through Waypoints | We initiate the study of a fundamental combinatorial problem: Given a
capacitated graph $G=(V,E)$, find a shortest walk ("route") from a source $s\in
V$ to a destination $t\in V$ that includes all vertices specified by a set
$\mathscr{W}\subseteq V$: the \emph{waypoints}. This waypoint routing problem
finds immediate... | 1 | 0 | 0 | 0 | 0 | 0 |
Imaging a Central Ionized Component, a Narrow Ring, and the CO Snowline in the Multi-Gapped Disk of HD 169142 | We report Very Large Array observations at 7 mm, 9 mm, and 3 cm toward the
pre-transitional disk of the Herbig Ae star HD 169142. These observations have
allowed us to study the mm emission of this disk with the highest angular
resolution so far ($0\rlap."12\times0\rlap."09$, or 14 au$\times$11 au, at 7
mm). Our 7 an... | 0 | 1 | 0 | 0 | 0 | 0 |
Viconmavlink: A software tool for indoor positioning using a motion capture system | Motion capture is a widely-used technology in robotics research thanks to its
precise posi tional measurements with real-time performance. This paper
presents ViconMAVLink, a cross-platform open-source software tool that provides
indoor positioning services to networked robots. ViconMAVLink converts Vicon
motion capt... | 1 | 0 | 0 | 0 | 0 | 0 |
On the set of optimal homeomorphisms for the natural pseudo-distance associated with the Lie group S^1 | If $\varphi$ and $\psi$ are two continuous real-valued functions defined on a
compact topological space $X$ and $G$ is a subgroup of the group of all
homeomorphisms of $X$ onto itself, the natural pseudo-distance
$d_G(\varphi,\psi)$ is defined as the infimum of $\mathcal{L}(g)=\|\varphi-\psi
\circ g \|_\infty$, as $g... | 1 | 0 | 1 | 0 | 0 | 0 |
A generalization of an identity due to Kimura and Ruehr | An identity stated by Kimura and proved by Ruehr, Kimura and others
stipulates that for any function $f$ continuous on $[-\frac{1}{2},
\frac{3}{2}]$ one has $$ \int_{-1/2}^{3/2} f(3x^2 - 2x^3) dx = 2 \int_0^1
f(3x^2 - 2x^3) dx. $$ We prove that this equality is not an isolated example by
providing a family of polynom... | 0 | 0 | 1 | 0 | 0 | 0 |
Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification | The eigendeomposition of nearest-neighbor (NN) graph Laplacian matrices is
the main computational bottleneck in spectral clustering. In this work, we
introduce a highly-scalable, spectrum-preserving graph sparsification algorithm
that enables to build ultra-sparse NN (u-NN) graphs with guaranteed
preservation of the ... | 1 | 0 | 0 | 1 | 0 | 0 |
Deep-Learnt Classification of Light Curves | Astronomy light curves are sparse, gappy, and heteroscedastic. As a result
standard time series methods regularly used for financial and similar datasets
are of little help and astronomers are usually left to their own instruments
and techniques to classify light curves. A common approach is to derive
statistical fea... | 0 | 1 | 0 | 0 | 0 | 0 |
Bulk crystalline optomechanics | Brillouin processes couple light and sound through optomechanical three-wave
interactions. Within bulk solids, this coupling is mediated by the intrinsic
photo-elastic material response yielding coherent emission of high frequency
(GHz) acoustic phonons. This same interaction produces strong optical
nonlinearities th... | 0 | 1 | 0 | 0 | 0 | 0 |
Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets | In this study, we present Swift Linked Data Miner, an interruptible algorithm
that can directly mine an online Linked Data source (e.g., a SPARQL endpoint)
for OWL 2 EL class expressions to extend an ontology with new SubClassOf:
axioms. The algorithm works by downloading only a small part of the Linked Data
source a... | 1 | 0 | 0 | 0 | 0 | 0 |
Political Footprints: Political Discourse Analysis using Pre-Trained Word Vectors | In this paper, we discuss how machine learning could be used to produce a
systematic and more objective political discourse analysis. Political
footprints are vector space models (VSMs) applied to political discourse. Each
of their vectors represents a word, and is produced by training the English
lexicon on large te... | 1 | 0 | 0 | 0 | 0 | 0 |
Predicting the Quality of Short Narratives from Social Media | An important and difficult challenge in building computational models for
narratives is the automatic evaluation of narrative quality. Quality evaluation
connects narrative understanding and generation as generation systems need to
evaluate their own products. To circumvent difficulties in acquiring
annotations, we e... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis | Optimization algorithms that leverage gradient covariance information, such
as variants of natural gradient descent (Amari, 1998), offer the prospect of
yielding more effective descent directions. For models with many parameters,
the covariance matrix they are based on becomes gigantic, making them
inapplicable in th... | 0 | 0 | 0 | 1 | 0 | 0 |
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