text stringlengths 57 2.88k | labels listlengths 6 6 |
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Title: Near-IR period-luminosity relations for pulsating stars in $ω$ Centauri (NGC 5139),
Abstract: $\omega$ Centauri (NGC 5139) hosts hundreds of pulsating variable stars of
different types, thus representing a treasure trove for studies of their
corresponding period-luminosity (PL) relations. Our goal in this study ... | [
0,
1,
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0,
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] |
Title: Pseudo-deterministic Proofs,
Abstract: We introduce pseudo-deterministic interactive proofs (psdAM): interactive
proof systems for search problems where the verifier is guaranteed with high
probability to output the same output on different executions. As in the case
with classical interactive proofs, the verifi... | [
1,
0,
0,
0,
0,
0
] |
Title: The Maximum Likelihood Degree of Toric Varieties,
Abstract: We study the maximum likelihood degree (ML degree) of toric varieties, known
as discrete exponential models in statistics. By introducing scaling
coefficients to the monomial parameterization of the toric variety, one can
change the ML degree. We show t... | [
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0,
1,
1,
0,
0
] |
Title: On the Mechanism of Large Amplitude Flapping of Inverted Foil in a Uniform Flow,
Abstract: An elastic foil interacting with a uniform flow with its trailing edge
clamped, also known as the inverted foil, exhibits a wide range of complex
self-induced flapping regimes such as large amplitude flapping (LAF), deform... | [
0,
1,
0,
0,
0,
0
] |
Title: Multidimensional Sampling of Isotropically Bandlimited Signals,
Abstract: A new lower bound on the average reconstruction error variance of
multidimensional sampling and reconstruction is presented. It applies to
sampling on arbitrary lattices in arbitrary dimensions, assuming a stochastic
process with constant,... | [
1,
0,
1,
1,
0,
0
] |
Title: Asymptotic structure of almost eigenfunctions of drift Laplacians on conical ends,
Abstract: We use a weighted variant of the frequency functions introduced by Almgren to
prove sharp asymptotic estimates for almost eigenfunctions of the drift
Laplacian associated to the Gaussian weight on an asymptotically conic... | [
0,
0,
1,
0,
0,
0
] |
Title: Palomar Optical Spectrum of Hyperbolic Near-Earth Object A/2017 U1,
Abstract: We present optical spectroscopy of the recently discovered hyperbolic
near-Earth object A/2017 U1, taken on 25 Oct 2017 at Palomar Observatory.
Although our data are at a very low signal-to-noise, they indicate a very red
surface at op... | [
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1,
0,
0,
0,
0
] |
Title: On the risk of convex-constrained least squares estimators under misspecification,
Abstract: We consider the problem of estimating the mean of a noisy vector. When the
mean lies in a convex constraint set, the least squares projection of the
random vector onto the set is a natural estimator. Properties of the ri... | [
0,
0,
1,
1,
0,
0
] |
Title: On the Binary Lossless Many-Help-One Problem with Independently Degraded Helpers,
Abstract: Although the rate region for the lossless many-help-one problem with
independently degraded helpers is already "solved", its solution is given in
terms of a convex closure over a set of auxiliary random variables. Thus, f... | [
1,
0,
0,
0,
0,
0
] |
Title: Dimensional reduction and the equivariant Chern character,
Abstract: We propose a dimensional reduction procedure in the Stolz--Teichner framework
of supersymmetric Euclidean field theories (EFTs) that is well-suited in the
presence of a finite gauge group or, more generally, for field theories over an
orbifold.... | [
0,
0,
1,
0,
0,
0
] |
Title: Formal Privacy for Functional Data with Gaussian Perturbations,
Abstract: Motivated by the rapid rise in statistical tools in Functional Data Analysis,
we consider the Gaussian mechanism for achieving differential privacy with
parameter estimates taking values in a, potentially infinite-dimensional,
separable Ba... | [
0,
0,
1,
1,
0,
0
] |
Title: An algorithm to reconstruct convex polyhedra from their face normals and areas,
Abstract: A well-known result in the study of convex polyhedra, due to Minkowski, is
that a convex polyhedron is uniquely determined (up to translation) by the
directions and areas of its faces. The theorem guarantees existence of th... | [
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1,
0,
0,
0,
0
] |
Title: Grid-converged Solution and Analysis of the Unsteady Viscous Flow in a Two-dimensional Shock Tube,
Abstract: The flow in a shock tube is extremely complex with dynamic multi-scale
structures of sharp fronts, flow separation, and vortices due to the
interaction of the shock wave, the contact surface, and the boun... | [
0,
1,
0,
0,
0,
0
] |
Title: Generative Temporal Models with Memory,
Abstract: We consider the general problem of modeling temporal data with long-range
dependencies, wherein new observations are fully or partially predictable based
on temporally-distant, past observations. A sufficiently powerful temporal
model should separate predictable ... | [
1,
0,
0,
1,
0,
0
] |
Title: Global research collaboration: Networks and partners in South East Asia,
Abstract: This is an empirical paper that addresses the role of bilateral and
multilateral international co-authorships in the six leading science systems
among the ASEAN group of countries (ASEAN6). The paper highlights the different
ways ... | [
1,
0,
0,
0,
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0
] |
Title: Spontaneous and stimulus-induced coherent states of dynamically balanced neuronal networks,
Abstract: How the information microscopically processed by individual neurons is
integrated and used in organising the macroscopic behaviour of an animal is a
central question in neuroscience. Coherence of dynamics over d... | [
0,
1,
0,
0,
0,
0
] |
Title: Effect of Blast Exposure on Gene-Gene Interactions,
Abstract: Repeated exposure to low-level blast may initiate a range of adverse health
problem such as traumatic brain injury (TBI). Although many studies
successfully identified genes associated with TBI, yet the cellular mechanisms
underpinning TBI are not ful... | [
0,
0,
0,
0,
1,
0
] |
Title: A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields,
Abstract: Gaussian Markov random fields are used in a large number of disciplines in
machine vision and spatial statistics. The models take advantage of sparsity in
matrices introduced through the M... | [
0,
0,
0,
1,
0,
0
] |
Title: Subspace Clustering of Very Sparse High-Dimensional Data,
Abstract: In this paper we consider the problem of clustering collections of very short
texts using subspace clustering. This problem arises in many applications such
as product categorisation, fraud detection, and sentiment analysis. The main
challenge l... | [
1,
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0,
1,
0,
0
] |
Title: Quarnet inference rules for level-1 networks,
Abstract: An important problem in phylogenetics is the construction of phylogenetic
trees. One way to approach this problem, known as the supertree method,
involves inferring a phylogenetic tree with leaves consisting of a set $X$ of
species from a collection of tree... | [
1,
0,
0,
0,
0,
0
] |
Title: The IRX-Beta Dust Attenuation Relation in Cosmological Galaxy Formation Simulations,
Abstract: We utilise a series of high-resolution cosmological zoom simulations of
galaxy formation to investigate the relationship between the ultraviolet (UV)
slope, beta, and the ratio of the infrared luminosity to UV luminosi... | [
0,
1,
0,
0,
0,
0
] |
Title: Strict convexity of the Mabuchi functional for energy minimizers,
Abstract: There are two parts of this paper. First, we discovered an explicit formula
for the complex Hessian of the weighted log-Bergman kernel on a parallelogram
domain, and utilised this formula to give a new proof about the strict
convexity of... | [
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0,
1,
0,
0,
0
] |
Title: DNN Filter Bank Cepstral Coefficients for Spoofing Detection,
Abstract: With the development of speech synthesis techniques, automatic speaker
verification systems face the serious challenge of spoofing attack. In order to
improve the reliability of speaker verification systems, we develop a new
filter bank base... | [
1,
0,
0,
0,
0,
0
] |
Title: Up-down colorings of virtual-link diagrams and the necessity of Reidemeister moves of type II,
Abstract: We introduce an up-down coloring of a virtual-link diagram. The
colorabilities give a lower bound of the minimum number of Reidemeister moves
of type II which are needed between two 2-component virtual-link d... | [
0,
0,
1,
0,
0,
0
] |
Title: Introduction to the Special Issue on Approaches to Control Biological and Biologically Inspired Networks,
Abstract: The emerging field at the intersection of quantitative biology, network
modeling, and control theory has enjoyed significant progress in recent years.
This Special Issue brings together a selection... | [
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] |
Title: Towards Classification of Web ontologies using the Horizontal and Vertical Segmentation,
Abstract: The new era of the Web is known as the semantic Web or the Web of data. The
semantic Web depends on ontologies that are seen as one of its pillars. The
bigger these ontologies, the greater their exploitation. Howev... | [
1,
0,
0,
0,
0,
0
] |
Title: An Efficient Version of the Bombieri-Vaaler Lemma,
Abstract: In their celebrated paper "On Siegel's Lemma", Bombieri and Vaaler found an
upper bound on the height of integer solutions of systems of linear Diophantine
equations. Calculating the bound directly, however, requires exponential time.
In this paper, we... | [
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1,
0,
0,
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] |
Title: Interacting Chaplygin gas revisited,
Abstract: The implications of considering interaction between Chaplygin gas and a
barotropic fluid with constant equation of state have been explored. The unique
feature of this work is that assuming an interaction $Q \propto H\rho_d$,
analytic expressions for the energy dens... | [
0,
1,
0,
0,
0,
0
] |
Title: Focused time-lapse inversion of radio and audio magnetotelluric data,
Abstract: Geoelectrical techniques are widely used to monitor groundwater processes,
while surprisingly few studies have considered audio (AMT) and radio (RMT)
magnetotellurics for such purposes. In this numerical investigation, we analyze
to ... | [
0,
1,
0,
0,
0,
0
] |
Title: Deep Exploration via Randomized Value Functions,
Abstract: We study the use of randomized value functions to guide deep exploration in
reinforcement learning. This offers an elegant means for synthesizing
statistically and computationally efficient exploration with common practical
approaches to value function l... | [
1,
0,
0,
1,
0,
0
] |
Title: SEP-Nets: Small and Effective Pattern Networks,
Abstract: While going deeper has been witnessed to improve the performance of
convolutional neural networks (CNN), going smaller for CNN has received
increasing attention recently due to its attractiveness for mobile/embedded
applications. It remains an active and ... | [
1,
0,
0,
0,
0,
0
] |
Title: Fundamental Limitations of Cavity-assisted Atom Interferometry,
Abstract: Atom interferometers employing optical cavities to enhance the beam splitter
pulses promise significant advances in science and technology, notably for
future gravitational wave detectors. Long cavities, on the scale of hundreds of
meters,... | [
0,
1,
0,
0,
0,
0
] |
Title: Markov chain aggregation and its application to rule-based modelling,
Abstract: Rule-based modelling allows to represent molecular interactions in a compact
and natural way. The underlying molecular dynamics, by the laws of stochastic
chemical kinetics, behaves as a continuous-time Markov chain. However, this
Ma... | [
1,
0,
0,
0,
1,
0
] |
Title: Refounding legitimacy towards Aethogenesis,
Abstract: The fusion of humans and technology takes us into an unknown world described
by some authors as populated by quasi living species that would relegate us -
ordinary humans - to the rank of alienated agents emptied of our identity and
consciousness. I argue ins... | [
1,
0,
0,
0,
0,
0
] |
Title: FELIX-2.0: New version of the finite element solver for the time dependent generator coordinate method with the Gaussian overlap approximation,
Abstract: The time-dependent generator coordinate method (TDGCM) is a powerful method
to study the large amplitude collective motion of quantum many-body systems
such as... | [
0,
1,
0,
0,
0,
0
] |
Title: Scattering in the energy space for Boussinesq equations,
Abstract: In this note we show that all small solutions in the energy space of the
generalized 1D Boussinesq equation must decay to zero as time tends to
infinity, strongly on slightly proper subsets of the space-time light cone. Our
result does not requir... | [
0,
0,
1,
0,
0,
0
] |
Title: A Data-Driven Supply-Side Approach for Measuring Cross-Border Internet Purchases,
Abstract: The digital economy is a highly relevant item on the European Union's policy
agenda. Cross-border internet purchases are part of the digital economy, but
their total value can currently not be accurately measured or estim... | [
0,
0,
0,
1,
0,
0
] |
Title: Low Rank Magnetic Resonance Fingerprinting,
Abstract: Purpose: Magnetic Resonance Fingerprinting (MRF) is a relatively new approach
that provides quantitative MRI measures using randomized acquisition.
Extraction of physical quantitative tissue parameters is performed off-line,
without the need of patient presen... | [
1,
1,
0,
0,
0,
0
] |
Title: SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient,
Abstract: In this paper, we propose a StochAstic Recursive grAdient algoritHm (SARAH),
as well as its practical variant SARAH+, as a novel approach to the finite-sum
minimization problems. Different from the vanilla SGD and ... | [
1,
0,
1,
1,
0,
0
] |
Title: Spectral and Energy Efficiency of Uplink D2D Underlaid Massive MIMO Cellular Networks,
Abstract: One of key 5G scenarios is that device-to-device (D2D) and massive
multiple-input multiple-output (MIMO) will be co-existed. However, interference
in the uplink D2D underlaid massive MIMO cellular networks needs to b... | [
1,
0,
1,
0,
0,
0
] |
Title: Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations,
Abstract: Neural networks are among the most accurate supervised learning methods in
use today, but their opacity makes them difficult to trust in critical
applications, especially when conditions in training differ f... | [
1,
0,
0,
1,
0,
0
] |
Title: Hamiltonian structure of peakons as weak solutions for the modified Camassa-Holm equation,
Abstract: The modified Camassa-Holm (mCH) equation is a bi-Hamiltonian system
possessing $N$-peakon weak solutions, for all $N\geq 1$, in the setting of an
integral formulation which is used in analysis for studying local
... | [
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1,
0,
0,
0,
0
] |
Title: A variational derivation of the nonequilibrium thermodynamics of a moist atmosphere with rain process and its pseudoincompressible approximation,
Abstract: Irreversible processes play a major role in the description and prediction of
atmospheric dynamics. In this paper, we present a variational derivation of the... | [
0,
1,
1,
0,
0,
0
] |
Title: On certain weighted 7-colored partitions,
Abstract: Inspired by Andrews' 2-colored generalized Frobenius partitions, we consider
certain weighted 7-colored partition functions and establish some interesting
Ramanujan-type identities and congruences. Moreover, we provide combinatorial
interpretations of some cong... | [
0,
0,
1,
0,
0,
0
] |
Title: Now Playing: Continuous low-power music recognition,
Abstract: Existing music recognition applications require a connection to a server that
performs the actual recognition. In this paper we present a low-power music
recognizer that runs entirely on a mobile device and automatically recognizes
music without user... | [
1,
0,
0,
0,
0,
0
] |
Title: Improving the Expected Improvement Algorithm,
Abstract: The expected improvement (EI) algorithm is a popular strategy for information
collection in optimization under uncertainty. The algorithm is widely known to
be too greedy, but nevertheless enjoys wide use due to its simplicity and
ability to handle uncertai... | [
1,
0,
0,
1,
0,
0
] |
Title: Definably compact groups definable in real closed fields. I,
Abstract: We study definably compact definably connected groups definable in a
sufficiently saturated real closed field $R$. We introduce the notion of
group-generic point for $\bigvee$-definable groups and show the existence of
group-generic points fo... | [
0,
0,
1,
0,
0,
0
] |
Title: The unreasonable effectiveness of small neural ensembles in high-dimensional brain,
Abstract: Despite the widely-spread consensus on the brain complexity, sprouts of the
single neuron revolution emerged in neuroscience in the 1970s. They brought
many unexpected discoveries, including grandmother or concept cells... | [
0,
0,
0,
0,
1,
0
] |
Title: Threshold Selection for Multivariate Heavy-Tailed Data,
Abstract: Regular variation is often used as the starting point for modeling
multivariate heavy-tailed data. A random vector is regularly varying if and
only if its radial part $R$ is regularly varying and is asymptotically
independent of the angular part $... | [
0,
0,
1,
1,
0,
0
] |
Title: An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms,
Abstract: Deep learning (DL) has recently achieved tremendous success in a variety of
cutting-edge applications, e.g., image recognition, speech and natural language
processing, and autonomous driving. Besides the available big data and h... | [
1,
0,
0,
0,
0,
0
] |
Title: On the complexity of topological conjugacy of compact metrizable $G$-ambits,
Abstract: In this note, we analyze the classification problem for compact metrizable
$G$-ambits for a countable discrete group $G$ from the point of view of
descriptive set theory. More precisely, we prove that the topological conjugacy... | [
0,
0,
1,
0,
0,
0
] |
Title: Carleman Estimate for Surface in Euclidean Space at Infinity,
Abstract: This paper develops a Carleman type estimate for immersed surface in
Euclidean space at infinity. With this estimate, we obtain an unique
continuation property for harmonic functions on immersed surfaces vanishing at
infinity, which leads to... | [
0,
0,
1,
0,
0,
0
] |
Title: Formalizing Timing Diagram Requirements in Discrete Duration Calulus,
Abstract: Several temporal logics have been proposed to formalise timing diagram
requirements over hardware and embedded controllers. These include LTL,
discrete time MTL and the recent industry standard PSL. However, succintness
and visual st... | [
1,
0,
0,
0,
0,
0
] |
Title: A New Compton-thick AGN in our Cosmic Backyard: Unveiling the Buried Nucleus in NGC 1448 with NuSTAR,
Abstract: NGC 1448 is one of the nearest luminous galaxies ($L_{8-1000\mu m} >$ 10$^{9}
L_{\odot}$) to ours ($z$ $=$ 0.00390), and yet the active galactic nucleus
(AGN) it hosts was only recently discovered, in ... | [
0,
1,
0,
0,
0,
0
] |
Title: Blowup constructions for Lie groupoids and a Boutet de Monvel type calculus,
Abstract: We present natural and general ways of building Lie groupoids, by using the
classical procedures of blowups and of deformations to the normal cone. Our
constructions are seen to recover many known ones involved in index theory... | [
0,
0,
1,
0,
0,
0
] |
Title: Simulated JWST/NIRISS Transit Spectroscopy of Anticipated TESS Planets Compared to Select Discoveries from Space-Based and Ground-Based Surveys,
Abstract: The Transiting Exoplanet Survey Satellite (TESS) will embark in 2018 on a
2-year wide-field survey mission, discovering over a thousand terrestrial,
super-Ear... | [
0,
1,
0,
0,
0,
0
] |
Title: DeepTFP: Mobile Time Series Data Analytics based Traffic Flow Prediction,
Abstract: Traffic flow prediction is an important research issue to avoid traffic
congestion in transportation systems. Traffic congestion avoiding can be
achieved by knowing traffic flow and then conducting transportation planning.
Achiev... | [
1,
0,
0,
0,
0,
0
] |
Title: The Momentum Distribution of Liquid $^4$He,
Abstract: We report high-resolution neutron Compton scattering measurements of liquid
$^4$He under saturated vapor pressure. There is excellent agreement between the
observed scattering and ab initio predictions of its lineshape. Quantum Monte
Carlo calculations predic... | [
0,
1,
0,
0,
0,
0
] |
Title: Self-similar minimizers of a branched transport functional,
Abstract: We solve here completely an irrigation problem from a Dirac mass to the
Lebesgue measure. The functional we consider is a two dimensional analog of a
functional previously derived in the study of branched patterns in type-I
superconductors. Th... | [
0,
0,
1,
0,
0,
0
] |
Title: S-OHEM: Stratified Online Hard Example Mining for Object Detection,
Abstract: One of the major challenges in object detection is to propose detectors with
highly accurate localization of objects. The online sampling of high-loss
region proposals (hard examples) uses the multitask loss with equal weight
settings ... | [
1,
0,
0,
0,
0,
0
] |
Title: Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions,
Abstract: Embedding complex objects as vectors in low dimensional spaces is a
longstanding problem in machine learning. We propose in this work an extension
of that approach, which consists in embedding objects as elliptical p... | [
0,
0,
0,
1,
0,
0
] |
Title: Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines,
Abstract: This paper describes our participation in Task 5 track 2 of SemEval 2017 to
predict the sentiment of financial news headlines for a specific company on a
continuous scale between -1 and 1.... | [
1,
0,
0,
0,
0,
0
] |
Title: Exploring light mediators with low-threshold direct detection experiments,
Abstract: We explore the potential of future cryogenic direct detection experiments to
determine the properties of the mediator that communicates the interactions
between dark matter and nuclei. Due to their low thresholds and large
expos... | [
0,
1,
0,
0,
0,
0
] |
Title: Surface Networks,
Abstract: We study data-driven representations for three-dimensional triangle meshes,
which are one of the prevalent objects used to represent 3D geometry. Recent
works have developed models that exploit the intrinsic geometry of manifolds
and graphs, namely the Graph Neural Networks (GNNs) and... | [
1,
0,
0,
1,
0,
0
] |
Title: Driving an Ornstein--Uhlenbeck Process to Desired First-Passage Time Statistics,
Abstract: First-passage time (FPT) of an Ornstein-Uhlenbeck (OU) process is of immense
interest in a variety of contexts. This paper considers an OU process with two
boundaries, one of which is absorbing while the other one could be... | [
0,
0,
1,
0,
0,
0
] |
Title: The self-consistent Dyson equation and self-energy functionals: failure or new opportunities?,
Abstract: Perturbation theory using self-consistent Green's functions is one of the
most widely used approaches to study many-body effects in condensed matter. On
the basis of general considerations and by performing a... | [
0,
1,
0,
0,
0,
0
] |
Title: Sparse and Smooth Prior for Bayesian Linear Regression with Application to ETEX Data,
Abstract: Sparsity of the solution of a linear regression model is a common
requirement, and many prior distributions have been designed for this purpose.
A combination of the sparsity requirement with smoothness of the solutio... | [
0,
0,
0,
1,
0,
0
] |
Title: Certifying Some Distributional Robustness with Principled Adversarial Training,
Abstract: Neural networks are vulnerable to adversarial examples and researchers have
proposed many heuristic attack and defense mechanisms. We address this problem
through the principled lens of distributionally robust optimization,... | [
1,
0,
0,
1,
0,
0
] |
Title: The minimal hidden computer needed to implement a visible computation,
Abstract: Master equations are commonly used to model the dynamics of physical systems.
Surprisingly, many deterministic maps $x \rightarrow f(x)$ cannot be
implemented by any master equation, even approximately. This raises the
question of h... | [
1,
1,
0,
0,
0,
0
] |
Title: A multi-task convolutional neural network for mega-city analysis using very high resolution satellite imagery and geospatial data,
Abstract: Mega-city analysis with very high resolution (VHR) satellite images has been
drawing increasing interest in the fields of city planning and social
investigation. It is know... | [
1,
0,
0,
0,
0,
0
] |
Title: Secure Search on the Cloud via Coresets and Sketches,
Abstract: \emph{Secure Search} is the problem of retrieving from a database table (or
any unsorted array) the records matching specified attributes, as in SQL SELECT
queries, but where the database and the query are encrypted. Secure search has
been the leadi... | [
1,
0,
0,
0,
0,
0
] |
Title: LATTES: a novel detector concept for a gamma-ray experiment in the Southern hemisphere,
Abstract: The Large Array Telescope for Tracking Energetic Sources (LATTES), is a novel
concept for an array of hybrid EAS array detectors, composed of a Resistive
Plate Counter array coupled to a Water Cherenkov Detector, pl... | [
0,
1,
0,
0,
0,
0
] |
Title: Hyperbolicity as an obstruction to smoothability for one-dimensional actions,
Abstract: Ghys and Sergiescu proved in the $80$s that Thompson's group $T$, and hence
$F$, admits actions by $C^{\infty}$ diffeomorphisms of the circle . They proved
that the standard actions of these groups are topologically conjugate... | [
0,
0,
1,
0,
0,
0
] |
Title: Near-perfect spin filtering and negative differential resistance in an Fe(II)S complex,
Abstract: Density functional theory and nonequilibrium Green's function calculations
have been used to explore spin-resolved transport through the high-spin state
of an iron(II)sulfur single molecular magnet. Our results show... | [
0,
1,
0,
0,
0,
0
] |
Title: Structural, elastic, electronic, and bonding properties of intermetallic Nb3Pt and Nb3Os compounds: a DFT study,
Abstract: Theoretical investigation of structural, elastic, electronic and bonding
properties of A-15 Nb-based intermetallic compounds Nb3B (B = Pt, Os) have been
performed using first principles calc... | [
0,
1,
0,
0,
0,
0
] |
Title: Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors,
Abstract: In this study, we consider unsupervised clustering of categorical vectors
that can be of different size using mixture. We use likelihood maximization to
estimate the parameters of the underlying mixtur... | [
0,
0,
1,
1,
0,
0
] |
Title: Topology reveals universal features for network comparison,
Abstract: The topology of any complex system is key to understanding its structure and
function. Fundamentally, algebraic topology guarantees that any system
represented by a network can be understood through its closed paths. The length
of each path pr... | [
1,
0,
1,
1,
0,
0
] |
Title: Gated Recurrent Networks for Seizure Detection,
Abstract: Recurrent Neural Networks (RNNs) with sophisticated units that implement a
gating mechanism have emerged as powerful technique for modeling sequential
signals such as speech or electroencephalography (EEG). The latter is the focus
on this paper. A signifi... | [
0,
0,
0,
1,
0,
0
] |
Title: Non-convex Conditional Gradient Sliding,
Abstract: We investigate a projection free method, namely conditional gradient sliding
on batched, stochastic and finite-sum non-convex problem. CGS is a smart
combination of Nesterov's accelerated gradient method and Frank-Wolfe (FW)
method, and outperforms FW in the con... | [
0,
0,
1,
0,
0,
0
] |
Title: Copolar convexity,
Abstract: We introduce a new operation, copolar addition, on unbounded convex subsets
of the positive orthant of real euclidean space and establish convexity of the
covolumes of the corresponding convex combinations. The proof is based on a
technique of geodesics of plurisubharmonic functions.... | [
0,
0,
1,
0,
0,
0
] |
Title: Coexistence of quantum and classical flows in quantum turbulence in the $T=0$ limit,
Abstract: Tangles of quantized vortex line of initial density ${\cal L}(0) \sim 6\times
10^3$\,cm$^{-2}$ and variable amplitude of fluctuations of flow velocity $U(0)$
at the largest length scale were generated in superfluid $^4... | [
0,
1,
0,
0,
0,
0
] |
Title: Four-dimensional Lens Space Index from Two-dimensional Chiral Algebra,
Abstract: We study the supersymmetric partition function on $S^1 \times L(r, 1)$, or
the lens space index of four-dimensional $\mathcal{N}=2$ superconformal field
theories and their connection to two-dimensional chiral algebras. We primarily
... | [
0,
0,
1,
0,
0,
0
] |
Title: Wave propagation modelling in various microearthquake environments using a spectral-element method,
Abstract: Simulation of wave propagation in a microearthquake environment is often
challenging due to small-scale structural and material heterogeneities. We
simulate wave propagation in three different real micro... | [
0,
1,
0,
0,
0,
0
] |
Title: Fast Snapshottable Concurrent Braun Heaps,
Abstract: This paper proposes a new concurrent heap algorithm, based on a stateless
shape property, which efficiently maintains balance during insert and removeMin
operations implemented with hand-over-hand locking. It also provides a O(1)
linearizable snapshot operatio... | [
1,
0,
0,
0,
0,
0
] |
Title: Geometric clustering in normed planes,
Abstract: Given two sets of points $A$ and $B$ in a normed plane, we prove that there
are two linearly separable sets $A'$ and $B'$ such that $\mathrm{diam}(A')\leq
\mathrm{diam}(A)$, $\mathrm{diam}(B')\leq \mathrm{diam}(B)$, and $A'\cup
B'=A\cup B.$ This extends a result f... | [
0,
0,
1,
0,
0,
0
] |
Title: Laplacian networks: growth, local symmetry and shape optimization,
Abstract: Inspired by river networks and other structures formed by Laplacian growth,
we use the Loewner equation to investigate the growth of a network of thin
fingers in a diffusion field. We first review previous contributions to
illustrate ho... | [
0,
1,
0,
0,
0,
0
] |
Title: Automatic Vector-based Road Structure Mapping Using Multi-beam LiDAR,
Abstract: In this paper, we studied a SLAM method for vector-based road structure
mapping using multi-beam LiDAR. We propose to use the polyline as the primary
mapping element instead of grid cell or point cloud, because the vector-based
repre... | [
1,
0,
0,
0,
0,
0
] |
Title: Schwarzian derivatives, projective structures, and the Weil-Petersson gradient flow for renormalized volume,
Abstract: To a complex projective structure $\Sigma$ on a surface, Thurston associates
a locally convex pleated surface. We derive bounds on the geometry of both in
terms of the norms $\|\phi_\Sigma\|_\in... | [
0,
0,
1,
0,
0,
0
] |
Title: Inferring Structural Characteristics of Networks with Strong and Weak Ties from Fixed-Choice Surveys,
Abstract: Knowing the structure of an offline social network facilitates a variety of
analyses, including studying the rate at which infectious diseases may spread
and identifying a subset of actors to immunize ... | [
1,
1,
0,
0,
0,
0
] |
Title: A Method Of Detecting Gravitational Wave Based On Time-frequency Analysis And Convolutional Neural Networks,
Abstract: This work investigated the detection of gravitational wave (GW) from
simulated damped sinusoid signals contaminated with Gaussian noise. We proposed
to treat it as a classification problem with ... | [
0,
1,
0,
0,
0,
0
] |
Title: Phonemic and Graphemic Multilingual CTC Based Speech Recognition,
Abstract: Training automatic speech recognition (ASR) systems requires large amounts of
data in the target language in order to achieve good performance. Whereas large
training corpora are readily available for languages like English, there exists... | [
1,
0,
0,
0,
0,
0
] |
Title: Model-Based Clustering of Time-Evolving Networks through Temporal Exponential-Family Random Graph Models,
Abstract: Dynamic networks are a general language for describing time-evolving complex
systems, and discrete time network models provide an emerging statistical
technique for various applications. It is a fu... | [
0,
0,
0,
1,
0,
0
] |
Title: Epi-two-dimensional fluid flow: a new topological paradigm for dimensionality,
Abstract: While a variety of fundamental differences are known to separate
two-dimensional (2D) and three-dimensional (3D) fluid flows, it is not well
understood how they are related. Conventionally, dimensional reduction is
justified... | [
0,
1,
0,
0,
0,
0
] |
Title: Statistical Properties of Loss Rate Estimators in Tree Topology (2),
Abstract: Four types of explicit estimators are proposed here to estimate the loss
rates of the links in a network with the tree topology and all of them are
derived by the maximum likelihood principle. One of the four is developed from
an esti... | [
1,
0,
0,
0,
0,
0
] |
Title: Moonshine: Distilling with Cheap Convolutions,
Abstract: Many engineers wish to deploy modern neural networks in memory-limited
settings; but the development of flexible methods for reducing memory use is in
its infancy, and there is little knowledge of the resulting cost-benefit. We
propose structural model dis... | [
1,
0,
0,
1,
0,
0
] |
Title: A New Wiretap Channel Model and its Strong Secrecy Capacity,
Abstract: In this paper, a new wiretap channel model is proposed, where the legitimate
transmitter and receiver communicate over a discrete memoryless channel. The
wiretapper has perfect access to a fixed-length subset of the transmitted
codeword symbo... | [
1,
0,
0,
0,
0,
0
] |
Title: Energy fluxes and spectra for turbulent and laminar flows,
Abstract: Two well-known turbulence models to describe the inertial and dissipative
ranges simultaneously are by Pao~[Phys. Fluids {\bf 8}, 1063 (1965)] and
Pope~[{\em Turbulent Flows.} Cambridge University Press, 2000]. In this paper,
we compute energy ... | [
0,
1,
0,
0,
0,
0
] |
Title: Generalised Discount Functions applied to a Monte-Carlo AImu Implementation,
Abstract: In recent years, work has been done to develop the theory of General
Reinforcement Learning (GRL). However, there are few examples demonstrating
these results in a concrete way. In particular, there are no examples
demonstrati... | [
1,
0,
0,
0,
0,
0
] |
Title: One year of monitoring the Vela pulsar using a Phased Array Feed,
Abstract: We have observed the Vela pulsar for one year using a Phased Array Feed (PAF)
receiver on the 12-metre antenna of the Parkes Test-Bed Facility. These
observations have allowed us to investigate the stability of the PAF
beam-weights over ... | [
0,
1,
0,
0,
0,
0
] |
Title: Robust Guaranteed-Cost Adaptive Quantum Phase Estimation,
Abstract: Quantum parameter estimation plays a key role in many fields like quantum
computation, communication and metrology. Optimal estimation allows one to
achieve the most precise parameter estimates, but requires accurate knowledge
of the model. Any ... | [
1,
0,
1,
0,
0,
0
] |
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