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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Addressing Item-Cold Start Problem in Recommendation Systems using Model Based Approach and Deep Learning | Traditional recommendation systems rely on past usage data in order to
generate new recommendations. Those approaches fail to generate sensible
recommendations for new users and items into the system due to missing
information about their past interactions. In this paper, we propose a solution
for successfully addres... | 1 | 0 | 0 | 1 | 0 | 0 |
End-to-End Monaural Multi-speaker ASR System without Pretraining | Recently, end-to-end models have become a popular approach as an alternative
to traditional hybrid models in automatic speech recognition (ASR). The
multi-speaker speech separation and recognition task is a central task in
cocktail party problem. In this paper, we present a state-of-the-art monaural
multi-speaker end... | 1 | 0 | 0 | 0 | 0 | 0 |
Characterization of Calabi--Yau variations of Hodge structure over tube domains by characteristic forms | Sheng and Zuo's characteristic forms are invariants of a variation of Hodge
structure. We show that they characterize Gross's canonical variations of Hodge
structure of Calabi-Yau type over (Hermitian symmetric) tube domains.
| 0 | 0 | 1 | 0 | 0 | 0 |
Spectral Theory of Infinite Quantum Graphs | We investigate quantum graphs with infinitely many vertices and edges without
the common restriction on the geometry of the underlying metric graph that
there is a positive lower bound on the lengths of its edges. Our central result
is a close connection between spectral properties of a quantum graph and the
correspo... | 0 | 0 | 1 | 0 | 0 | 0 |
A comment on "A test of general relativity using the LARES and LAGEOS satellites and a GRACE Earth gravity model", by I. Ciufolini et al | Recently, Ciufolini et al. reported on a test of the general relativistic
gravitomagnetic Lense-Thirring effect by analyzing about 3.5 years of laser
ranging data to the LAGEOS, LAGEOS II, LARES geodetic satellites orbiting the
Earth. By using the GRACE-based GGM05S Earth's global gravity model and a
linear combinati... | 0 | 1 | 0 | 0 | 0 | 0 |
SWIFT Detection of a 65-Day X-ray Period from the Ultraluminous Pulsar NGC 7793 P13 | NGC 7793 P13 is an ultraluminous X-ray source harboring an accreting pulsar.
We report on the detection of a ~65 d period X-ray modulation with Swift
observations in this system. The modulation period found in the X-ray band is
P=65.05+/-0.10 d and the profile is asymmetric with a fast rise and a slower
decay. On the... | 0 | 1 | 0 | 0 | 0 | 0 |
Pushing Configuration-Interaction to the Limit: Towards Massively Parallel MCSCF Calculations | A new large-scale parallel multiconfigurational self-consistent field (MCSCF)
implementation in the open-source NWChem computational chemistry code is
presented. The generalized active space (GAS) approach is used to partition
large configuration interaction (CI) vectors and generate a sufficient number
of batches th... | 0 | 1 | 0 | 0 | 0 | 0 |
Outer Regions of the Milky Way | With the start of the Gaia era, the time has come to address the major
challenge of deriving the star formation history and evolution of the disk of
our MilkyWay. Here we review our present knowledge of the outer regions of the
Milky Way disk population. Its stellar content, its structure and its dynamical
and chemic... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-Objective Learning and Mask-Based Post-Processing for Deep Neural Network Based Speech Enhancement | We propose a multi-objective framework to learn both secondary targets not
directly related to the intended task of speech enhancement (SE) and the
primary target of the clean log-power spectra (LPS) features to be used
directly for constructing the enhanced speech signals. In deep neural network
(DNN) based SE we in... | 1 | 0 | 0 | 0 | 0 | 0 |
Latent variable approach to diarization of audio recordings using ad-hoc randomly placed mobile devices | Diarization of audio recordings from ad-hoc mobile devices using spatial
information is considered in this paper. A two-channel synchronous recording is
assumed for each mobile device, which is used to compute directional statistics
separately at each device in a frame-wise manner. The recordings across the
mobile de... | 1 | 0 | 0 | 0 | 0 | 0 |
A multiple attribute model resolves a conflict between additive and multiplicative models of incentive salience | A model of incentive salience as a function of stimulus value and
interoceptive state has been previously proposed. In that model, the function
differs depending on whether the stimulus is appetitive or aversive; it is
multiplicative for appetitive stimuli and additive for aversive stimuli. The
authors argued it was ... | 0 | 0 | 0 | 0 | 1 | 0 |
Perturbation theory approaches to Anderson and Many-Body Localization: some lecture notes | These are lecture notes based on three lectures given by Antonello
Scardicchio at the December 2016 Topical School on Many-Body-Localization
organized by the Statistical Physics Group of the Institute Jean Lamour in
Nancy. They were compiled and put in a coherent logical form by Thimothée
Thiery.
| 0 | 1 | 0 | 0 | 0 | 0 |
A measurement of the z = 0 UV background from H$α$ fluorescence | We report the detection of extended Halpha emission from the tip of the HI
disk of the nearby edge-on galaxy UGC 7321, observed with the Multi Unit
Spectroscopic Explorer (MUSE) instrument at the Very Large Telescope. The
Halpha surface brightness fades rapidly where the HI column density drops below
N(HI) = 10^19 cm... | 0 | 1 | 0 | 0 | 0 | 0 |
The landscape of the spiked tensor model | We consider the problem of estimating a large rank-one tensor ${\boldsymbol
u}^{\otimes k}\in({\mathbb R}^{n})^{\otimes k}$, $k\ge 3$ in Gaussian noise.
Earlier work characterized a critical signal-to-noise ratio $\lambda_{Bayes}=
O(1)$ above which an ideal estimator achieves strictly positive correlation
with the un... | 0 | 0 | 1 | 1 | 0 | 0 |
System Identification of a Multi-timescale Adaptive Threshold Neuronal Model | In this paper, the parameter estimation problem for a multi-timescale
adaptive threshold (MAT) neuronal model is investigated. By manipulating the
system dynamics, which comprise of a non-resetting leaky integrator coupled
with an adaptive threshold, the threshold voltage can be obtained as a
realizable model that is... | 0 | 0 | 0 | 0 | 1 | 0 |
Free deterministic equivalent Z-scores of compound Wishart models: A goodness of fit test of 2DARMA models | We introduce a new method to qualify the goodness of fit parameter estimation
of compound Wishart models. Our method based on the free deterministic
equivalent Z-score, which we introduce in this paper. Furthermore, an
application to two dimensional autoregressive moving-average model is provided.
Our proposal method... | 0 | 0 | 1 | 1 | 0 | 0 |
Numerical algorithms for mean exit time and escape probability of stochastic systems with asymmetric Lévy motion | For non-Gaussian stochastic dynamical systems, mean exit time and escape
probability are important deterministic quantities, which can be obtained from
integro-differential (nonlocal) equations. We develop an efficient and
convergent numerical method for the mean first exit time and escape probability
for stochastic ... | 0 | 0 | 1 | 0 | 0 | 0 |
Canonical Models and the Complexity of Modal Team Logic | We study modal team logic MTL, the team-semantical extension of modal logic
ML closed under Boolean negation. Its fragments, such as modal dependence,
independence, and inclusion logic, are well-understood. However, due to the
unrestricted Boolean negation, the satisfiability problem of full MTL has been
notoriously ... | 1 | 0 | 0 | 0 | 0 | 0 |
CoT: Cooperative Training for Generative Modeling of Discrete Data | We propose Cooperative Training (CoT) for training generative models that
measure a tractable density for discrete data. CoT coordinately trains a
generator $G$ and an auxiliary predictive mediator $M$. The training target of
$M$ is to estimate a mixture density of the learned distribution $G$ and the
target distribu... | 0 | 0 | 0 | 1 | 0 | 0 |
Iterated function systems consisting of phi-max-contractions have attractor | We associate to each iterated function system consisting of
phi-max-contractions an operator (on the space of continuous functions from the
shift space on the metric space corresponding to the system) having a unique
fixed point whose image turns out to be the attractor of the system. Moreover,
we prove that the uniq... | 0 | 0 | 1 | 0 | 0 | 0 |
Decay Rates of the Solutions to the Thermoelastic Bresse System of Types I and III | In this paper, we study the energy decay for the thermoelastic Bresse system
in the whole line with two different dissipative mechanism, given by heat
conduction (Types I and III). We prove that the decay rate of the solutions are
very slow. More precisely, we show that the solutions decay with the rate of
$(1+t)^{-\... | 0 | 0 | 1 | 0 | 0 | 0 |
Baryogenesis at a Lepton-Number-Breaking Phase Transition | We study a scenario in which the baryon asymmetry of the universe arises from
a cosmological phase transition where lepton-number is spontaneously broken. If
the phase transition is first order, a lepton-number asymmetry can arise at the
bubble wall, through dynamics similar to electroweak baryogenesis, but
involving... | 0 | 1 | 0 | 0 | 0 | 0 |
Contact resistance between two REBCO tapes under load and load-cycles | No-insulation (NI) REBCO magnets have many advantages. They are
self-protecting, therefore do not need quench detection and protection which
can be very challenging in a high Tc superconducting magnet. Moreover, by
removing insulation and allowing thinner copper stabilizer, NI REBCO magnets
have significantly higher ... | 0 | 1 | 0 | 0 | 0 | 0 |
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for $k$-means Clustering | In this paper, we propose an implicit gradient descent algorithm for the
classic $k$-means problem. The implicit gradient step or backward Euler is
solved via stochastic fixed-point iteration, in which we randomly sample a
mini-batch gradient in every iteration. It is the average of the fixed-point
trajectory that is... | 1 | 0 | 0 | 1 | 0 | 0 |
The Frobenius number for sequences of triangular and tetrahedral numbers | We compute the Frobenius number for sequences of triangular and tetrahedral
numbers. In addition, we study some properties of the numerical semigroups
associated to those sequences.
| 0 | 0 | 1 | 0 | 0 | 0 |
Information-entropic analysis of Korteweg--de Vries solitons in the quark-gluon plasma | Solitary waves propagation of baryonic density perturbations, ruled by the
Korteweg--de Vries equation in a mean-field quark-gluon plasma model, are
investigated from the point of view of the theory of information. A recently
proposed continuous logarithmic measure of information, called configurational
entropy, is u... | 0 | 1 | 0 | 0 | 0 | 0 |
The photon identification loophole in EPRB experiments: computer models with single-wing selection | Recent Einstein-Podolsky-Rosen-Bohm experiments [M. Giustina et al. Phys.
Rev. Lett. 115, 250401 (2015); L. K. Shalm et al. Phys. Rev. Lett. 115, 250402
(2015)] that claim to be loophole free are scrutinized and are shown to suffer
a photon identification loophole. The combination of a digital computer and
discrete-e... | 0 | 1 | 0 | 0 | 0 | 0 |
Tilings of the plane with unit area triangles of bounded diameter | There exist tilings of the plane with pairwise noncongruent triangles of
equal area and bounded perimeter. Analogously, there exist tilings with
triangles of equal perimeter, the areas of which are bounded from below by a
positive constant. This solves a problem of Nandakumar.
| 1 | 0 | 1 | 0 | 0 | 0 |
The cauchy problem for radially symmetric homogeneous boltzmann equation with shubin class initial datum and gelfand-shilov smoothing effect | In this paper, we study the Cauchy problem for radially symmetric homogeneous
non-cutoff Boltzmann equation with Maxwellian molecules, the initial datum
belongs to Shubin space of the negative index which can be characterized by
spectral decomposition of the harmonic oscillators. The Shubin space of the
negative inde... | 0 | 0 | 1 | 0 | 0 | 0 |
Network Dissection: Quantifying Interpretability of Deep Visual Representations | We propose a general framework called Network Dissection for quantifying the
interpretability of latent representations of CNNs by evaluating the alignment
between individual hidden units and a set of semantic concepts. Given any CNN
model, the proposed method draws on a broad data set of visual concepts to
score the... | 1 | 0 | 0 | 0 | 0 | 0 |
Systole inequalities for arithmetic locally symmetric spaces | In this paper we study the systole growth of arithmetic locally symmetric
spaces up congruence covers and show that this growth is at least logarithmic
in volume. This generalizes previous work of Buser and Sarnak as well as Katz,
Schaps and Vishne where the case of compact hyperbolic 2- and 3-manifolds was
considere... | 0 | 0 | 1 | 0 | 0 | 0 |
Featured Weighted Automata | A featured transition system is a transition system in which the transitions
are annotated with feature expressions: Boolean expressions on a finite number
of given features. Depending on its feature expression, each individual
transition can be enabled when some features are present, and disabled for
other sets of f... | 1 | 0 | 0 | 0 | 0 | 0 |
Schrödinger model and Stratonovich-Weyl correspondence for Heisenberg motion groups | We introduce a Schrödinger model for the unitary irreducible
representations of a Heisenberg motion group and we show that the usual Weyl
quantization then provides a Stratonovich-Weyl correspondence.
| 0 | 0 | 1 | 0 | 0 | 0 |
Estimation in emerging epidemics: biases and remedies | When analysing new emerging infectious disease outbreaks one typically has
observational data over a limited period of time and several parameters to
estimate, such as growth rate, R0, serial or generation interval distribution,
latent and incubation times or case fatality rates. Also parameters describing
the tempor... | 0 | 0 | 0 | 1 | 0 | 0 |
Long-Term Evolution of Genetic Programming Populations | We evolve binary mux-6 trees for up to 100000 generations evolving some
programs with more than a hundred million nodes. Our unbounded Long-Term
Evolution Experiment LTEE GP appears not to evolve building blocks but does
suggests a limit to bloat. We do see periods of tens even hundreds of
generations where the popul... | 1 | 0 | 0 | 0 | 0 | 0 |
A Multi-Scale Analysis of 27,000 Urban Street Networks: Every US City, Town, Urbanized Area, and Zillow Neighborhood | OpenStreetMap offers a valuable source of worldwide geospatial data useful to
urban researchers. This study uses the OSMnx software to automatically download
and analyze 27,000 US street networks from OpenStreetMap at metropolitan,
municipal, and neighborhood scales - namely, every US city and town, census
urbanized ... | 1 | 1 | 0 | 0 | 0 | 0 |
Towards Detection of Exoplanetary Rings Via Transit Photometry: Methodology and a Possible Candidate | Detection of a planetary ring of exoplanets remains as one of the most
attractive but challenging goals in the field. We present a methodology of a
systematic search for exoplanetary rings via transit photometry of long-period
planets. The methodology relies on a precise integration scheme we develop to
compute a tra... | 0 | 1 | 0 | 0 | 0 | 0 |
SiMon: Simulation Monitor for Computational Astrophysics | Scientific discovery via numerical simulations is important in modern
astrophysics. This relatively new branch of astrophysics has become possible
due to the development of reliable numerical algorithms and the high
performance of modern computing technologies. These enable the analysis of
large collections of observ... | 0 | 1 | 0 | 0 | 0 | 0 |
Asymptotic and bootstrap tests for the dimension of the non-Gaussian subspace | Dimension reduction is often a preliminary step in the analysis of large data
sets. The so-called non-Gaussian component analysis searches for a projection
onto the non-Gaussian part of the data, and it is then important to know the
correct dimension of the non-Gaussian signal subspace. In this paper we develop
asymp... | 0 | 0 | 1 | 1 | 0 | 0 |
Pseudoconcavity of flag domains: The method of supporting cycles | A flag domain of a real from $G_0$ of a complex semismiple Lie group $G$ is
an open $G_0$-orbit $D$ in a (compact) $G$-flag manifold. In the usual way one
reduces to the case where $G_0$ is simple. It is known that if $D$ possesses
non-constant holomorphic functions, then it is the product of a compact flag
manifold ... | 0 | 0 | 1 | 0 | 0 | 0 |
Rule Formats for Nominal Process Calculi | The nominal transition systems (NTSs) of Parrow et al. describe the
operational semantics of nominal process calculi. We study NTSs in terms of the
nominal residual transition systems (NRTSs) that we introduce. We provide rule
formats for the specifications of NRTSs that ensure that the associated NRTS is
an NTS and ... | 1 | 0 | 0 | 0 | 0 | 0 |
Tilings with noncongruent triangles | We solve a problem of R. Nandakumar by proving that there is no tiling of the
plane with pairwise noncongruent triangles of equal area and equal perimeter.
We also show that no convex polygon with more than three sides can be tiled
with finitely many triangles such that no pair of them share a full side.
| 1 | 0 | 1 | 0 | 0 | 0 |
Phase limitations of Zames-Falb multipliers | Phase limitations of both continuous-time and discrete-time Zames-Falb
multipliers and their relation with the Kalman conjecture are analysed. A phase
limitation for continuous-time multipliers given by Megretski is generalised
and its applicability is clarified; its relation to the Kalman conjecture is
illustrated w... | 1 | 0 | 1 | 0 | 0 | 0 |
Fragmentation of vertically stratified gaseous layers: monolithic or coalescence-driven collapse | We investigate, using 3D hydrodynamic simulations, the fragmentation of
pressure-confined, vertically stratified, self-gravitating gaseous layers. The
confining pressure is either thermal pressure acting on both surfaces, or
thermal pressure acting on one surface and ram-pressure on the other. In the
linear regime of... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs | We propose a simple and generic layer formulation that extends the properties
of convolutional layers to any domain that can be described by a graph. Namely,
we use the support of its adjacency matrix to design learnable weight sharing
filters able to exploit the underlying structure of signals in the same fashion
as... | 1 | 0 | 0 | 0 | 0 | 0 |
Galaxies with Shells in the Illustris Simulation: Metallicity Signatures | Stellar shells are low surface brightness arcs of overdense stellar regions,
extending to large galactocentric distances. In a companion study, we
identified 39 shell galaxies in a sample of 220 massive ellipticals
($\mathrm{M}_{\mathrm{200crit}}>6\times10^{12}\,\mathrm{M}_\odot$) from the
Illustris cosmological simu... | 0 | 1 | 0 | 0 | 0 | 0 |
Runtime Verification of Temporal Properties over Out-of-order Data Streams | We present a monitoring approach for verifying systems at runtime. Our
approach targets systems whose components communicate with the monitors over
unreliable channels, where messages can be delayed or lost. In contrast to
prior works, whose property specification languages are limited to
propositional temporal logic... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning | In recent years, deep learning algorithms have become increasingly more
prominent for their unparalleled ability to automatically learn discriminant
features from large amounts of data. However, within the field of
electromyography-based gesture recognition, deep learning algorithms are seldom
employed as they requir... | 0 | 0 | 0 | 1 | 0 | 0 |
Adaptive Non-uniform Compressive Sampling for Time-varying Signals | In this paper, adaptive non-uniform compressive sampling (ANCS) of
time-varying signals, which are sparse in a proper basis, is introduced. ANCS
employs the measurements of previous time steps to distribute the sensing
energy among coefficients more intelligently. To this aim, a Bayesian inference
method is proposed ... | 1 | 0 | 0 | 1 | 0 | 0 |
Enabling Reasoning with LegalRuleML | In order to automate verification process, regulatory rules written in
natural language need to be translated into a format that machines can
understand. However, none of the existing formalisms can fully represent the
elements that appear in legal norms. For instance, most of these formalisms do
not provide features... | 1 | 0 | 0 | 0 | 0 | 0 |
Combinatorial distance geometry in normed spaces | We survey problems and results from combinatorial geometry in normed spaces,
concentrating on problems that involve distances. These include various
properties of unit-distance graphs, minimum-distance graphs, diameter graphs,
as well as minimum spanning trees and Steiner minimum trees. In particular, we
discuss tran... | 0 | 0 | 1 | 0 | 0 | 0 |
When is Network Lasso Accurate: The Vector Case | A recently proposed learning algorithm for massive network-structured data
sets (big data over networks) is the network Lasso (nLasso), which extends the
well- known Lasso estimator from sparse models to network-structured datasets.
Efficient implementations of the nLasso have been presented using modern convex
optim... | 1 | 0 | 0 | 0 | 0 | 0 |
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes | We consider the recovery of regression coefficients, denoted by
$\boldsymbol{\beta}_0$, for a single index model (SIM) relating a binary
outcome $Y$ to a set of possibly high dimensional covariates $\boldsymbol{X}$,
based on a large but 'unlabeled' dataset $\mathcal{U}$, with $Y$ never
observed. On $\mathcal{U}$, we ... | 0 | 0 | 1 | 1 | 0 | 0 |
Superior lattice thermal conductance of single layer borophene | By way of the nonequilibrium Green's function simulations and first
principles calculations, we report that borophene, a single layer of boron
atoms that was fabricated recently, possesses an extraordinarily high lattice
thermal conductance in the ballistic transport regime, which even exceeds
graphene. In addition t... | 0 | 1 | 0 | 0 | 0 | 0 |
The liar paradox is a real problem | The liar paradox is widely seen as not a serious problem. I try to explain
why this view is mistaken.
| 0 | 0 | 1 | 0 | 0 | 0 |
High-dimensional ABC | This Chapter, "High-dimensional ABC", is to appear in the forthcoming
Handbook of Approximate Bayesian Computation (2018). It details the main ideas
and concepts behind extending ABC methods to higher dimensions, with supporting
examples and illustrations.
| 0 | 0 | 0 | 1 | 0 | 0 |
Automating Release of Deep Link APIs for Android Applications | Unlike the Web where each web page has a global URL to reach, a specific
"content page" inside a mobile app cannot be opened unless the user explores
the app with several operations from the landing page. Recently, deep links
have been advocated by major companies to enable targeting and opening a
specific page of an... | 1 | 0 | 0 | 0 | 0 | 0 |
Refractive index measurements of single, spherical cells using digital holographic microscopy | In this chapter, we introduce digital holographic microscopy (DHM) as a
marker-free method to determine the refractive index of single, spherical cells
in suspension. The refractive index is a conclusive measure in a biological
context. Cell conditions, such as differentiation or infection, are known to
yield signifi... | 0 | 0 | 0 | 0 | 1 | 0 |
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent | Data compression is a popular technique for improving the efficiency of data
processing workloads such as SQL queries and more recently, machine learning
(ML) with classical batch gradient methods. But the efficacy of such ideas for
mini-batch stochastic gradient descent (MGD), arguably the workhorse algorithm
of mod... | 1 | 0 | 0 | 1 | 0 | 0 |
Program Language Translation Using a Grammar-Driven Tree-to-Tree Model | The task of translating between programming languages differs from the
challenge of translating natural languages in that programming languages are
designed with a far more rigid set of structural and grammatical rules.
Previous work has used a tree-to-tree encoder/decoder model to take advantage
of the inherent tree... | 1 | 0 | 0 | 1 | 0 | 0 |
In-Place Initializable Arrays | Initializing all elements of an array to a specified value is a basic
operation that frequently appears in numerous algorithms and programs.
Initializable arrays are abstract arrays that support initialization as well as
reading and writing of any element of the array in less than linear time
proportional to the leng... | 1 | 0 | 0 | 0 | 0 | 0 |
A Simple Exponential Family Framework for Zero-Shot Learning | We present a simple generative framework for learning to predict previously
unseen classes, based on estimating class-attribute-gated class-conditional
distributions. We model each class-conditional distribution as an exponential
family distribution and the parameters of the distribution of each seen/unseen
class are... | 1 | 0 | 0 | 1 | 0 | 0 |
Modeling Hormesis Using a Non-Monotonic Copula Method | This paper presents a probabilistic method for capturing non-monotonic
behavior under the biphasic dose-response regime observed in many biological
systems experiencing different types of stress. The proposed method is based on
the rolling-pin method introduced earlier to estimate highly nonlinear and
non-monotonic j... | 0 | 0 | 0 | 1 | 0 | 0 |
Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks | Mobile-Edge Computing (MEC) is an emerging paradigm that provides a capillary
distribution of cloud computing capabilities to the edge of the wireless access
network, enabling rich services and applications in close proximity to the end
users. In this article, a MEC enabled multi-cell wireless network is considered
w... | 1 | 0 | 0 | 0 | 0 | 0 |
The Sum Over Topological Sectors and $θ$ in the 2+1-Dimensional $\mathbb{C}\mathbb{P}^1$ $σ$-Model | We discuss the three spacetime dimensional $\mathbb{C}\mathbb{P}^N$ model and
specialize to the $\mathbb{C}\mathbb{P}^1$ model. Because of the Hopf map
$\pi_3(\mathbb{C}\mathbb{P}^1)=\mathbb{Z}$ one might try to couple the model to
a periodic $\theta$ parameter. However, we argue that only the values
$\theta=0$ and $... | 0 | 1 | 1 | 0 | 0 | 0 |
Continued Kinematic and Photometric Investigations of Hierarchical Solar-Type Multiple Star Systems | We observed 15 of the solar-type binaries within 67 pc of the Sun previously
observed by the Robo-AO system in the visible, with the PHARO near-IR camera
and the PALM-3000 adaptive optics system on the 5 m Hale telescope. The
physical status of the binaries is confirmed through common proper motion and
detection of o... | 0 | 1 | 0 | 0 | 0 | 0 |
A Note on Multiparty Communication Complexity and the Hales-Jewett Theorem | For integers $n$ and $k$, the density Hales-Jewett number $c_{n,k}$ is
defined as the maximal size of a subset of $[k]^n$ that contains no
combinatorial line. We show that for $k \ge 3$ the density Hales-Jewett number
$c_{n,k}$ is equal to the maximal size of a cylinder intersection in the
problem $Part_{n,k}$ of tes... | 1 | 0 | 0 | 0 | 0 | 0 |
First Results from Using Game Refinement Measure and Learning Coefficient in Scrabble | This paper explores the entertainment experience and learning experience in
Scrabble. It proposes a new measure from the educational point of view, which
we call learning coefficient, based on the balance between the learner's skill
and the challenge in Scrabble. Scrabble variants, generated using different
size of b... | 1 | 0 | 0 | 0 | 0 | 0 |
Structured Local Optima in Sparse Blind Deconvolution | Blind deconvolution is a ubiquitous problem of recovering two unknown signals
from their convolution. Unfortunately, this is an ill-posed problem in general.
This paper focuses on the {\em short and sparse} blind deconvolution problem,
where the one unknown signal is short and the other one is sparsely and
randomly s... | 0 | 0 | 0 | 1 | 0 | 0 |
The empirical Christoffel function with applications in data analysis | We illustrate the potential applications in machine learning of the
Christoffel function, or more precisely, its empirical counterpart associated
with a counting measure uniformly supported on a finite set of points. Firstly,
we provide a thresholding scheme which allows to approximate the support of a
measure from a... | 1 | 0 | 0 | 0 | 0 | 0 |
Around power law for PageRank components in Buckley-Osthus model of web graph | In the paper we investigate power law for PageRank components for the
Buckley-Osthus model for web graph. We compare different numerical methods for
PageRank calculation. With the best method we do a lot of numerical
experiments. These experiments confirm the hypothesis about power law. At the
end we discuss real mod... | 1 | 0 | 1 | 0 | 0 | 0 |
Cash-settled options for wholesale electricity markets | Wholesale electricity market designs in practice do not provide the market
participants with adequate mechanisms to hedge their financial risks. Demanders
and suppliers will likely face even greater risks with the deepening
penetration of variable renewable resources like wind and solar. This paper
explores the desig... | 1 | 0 | 1 | 0 | 0 | 0 |
Power in High-Dimensional Testing Problems | Fan et al. (2015) recently introduced a remarkable method for increasing
asymptotic power of tests in high-dimensional testing problems. If applicable
to a given test, their power enhancement principle leads to an improved test
that has the same asymptotic size, uniformly non-inferior asymptotic power, and
is consist... | 0 | 0 | 1 | 1 | 0 | 0 |
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model | With the goal of making high-resolution forecasts of regional rainfall,
precipitation nowcasting has become an important and fundamental technology
underlying various public services ranging from rainstorm warnings to flight
safety. Recently, the Convolutional LSTM (ConvLSTM) model has been shown to
outperform tradit... | 1 | 0 | 0 | 0 | 0 | 0 |
PAWS: A Tool for the Analysis of Weighted Systems | PAWS is a tool to analyse the behaviour of weighted automata and conditional
transition systems. At its core PAWS is based on a generic implementation of
algorithms for checking language equivalence in weighted automata and
bisimulation in conditional transition systems. This architecture allows for
the use of arbitr... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantum-optical spectroscopy for plasma electric field measurements and diagnostics | Measurements of plasma electric fields are essential to the advancement of
plasma science and applications. Methods for non-invasive in situ measurements
of plasma fields on sub-millimeter length scales with high sensitivity over a
large field range remain an outstanding challenge. Here, we introduce and
demonstrate ... | 0 | 1 | 0 | 0 | 0 | 0 |
ROSA: R Optimizations with Static Analysis | R is a popular language and programming environment for data scientists. It
is increasingly co-packaged with both relational and Hadoop-based data
platforms and can often be the most dominant computational component in data
analytics pipelines. Recent work has highlighted inefficiencies in executing R
programs, both ... | 1 | 0 | 0 | 0 | 0 | 0 |
Human Perception of Performance | Humans are routinely asked to evaluate the performance of other individuals,
separating success from failure and affecting outcomes from science to
education and sports. Yet, in many contexts, the metrics driving the human
evaluation process remain unclear. Here we analyse a massive dataset capturing
players' evaluat... | 1 | 0 | 0 | 1 | 0 | 0 |
Practical Distance Functions for Path-Planning in Planar Domains | Path planning is an important problem in robotics. One way to plan a path
between two points $x,y$ within a (not necessarily simply-connected) planar
domain $\Omega$, is to define a non-negative distance function $d(x,y)$ on
$\Omega\times\Omega$ such that following the (descending) gradient of this
distance function ... | 1 | 0 | 0 | 0 | 0 | 0 |
FPGA-Based CNN Inference Accelerator Synthesized from Multi-Threaded C Software | A deep-learning inference accelerator is synthesized from a C-language
software program parallelized with Pthreads. The software implementation uses
the well-known producer/consumer model with parallel threads interconnected by
FIFO queues. The LegUp high-level synthesis (HLS) tool synthesizes threads into
parallel F... | 1 | 0 | 0 | 1 | 0 | 0 |
The set of forces that ideal trusses, or wire webs, under tension can support | The problem of determining those multiplets of forces, or sets of force
multiplets, acting at a set of points, such that there exists a truss
structure, or wire web, that can support these force multiplets with all the
elements of the truss or wire web being under tension, is considered. The
two-dimensional problem w... | 0 | 1 | 0 | 0 | 0 | 0 |
A Thematic Study of Requirements Modeling and Analysis for Self-Adaptive Systems | Over the last decade, researchers and engineers have developed a vast body of
methodologies and technologies in requirements engineering for self-adaptive
systems. Although existing studies have explored various aspects of this topic,
few of them have categorized and summarized these areas of research in
require-ment... | 1 | 0 | 0 | 0 | 0 | 0 |
On predictive density estimation with additional information | Based on independently distributed $X_1 \sim N_p(\theta_1, \sigma^2_1 I_p)$
and $X_2 \sim N_p(\theta_2, \sigma^2_2 I_p)$, we consider the efficiency of
various predictive density estimators for $Y_1 \sim N_p(\theta_1, \sigma^2_Y
I_p)$, with the additional information $\theta_1 - \theta_2 \in A$ and known
$\sigma^2_1,... | 0 | 0 | 1 | 1 | 0 | 0 |
Optimizing Channel Selection for Seizure Detection | Interpretation of electroencephalogram (EEG) signals can be complicated by
obfuscating artifacts. Artifact detection plays an important role in the
observation and analysis of EEG signals. Spatial information contained in the
placement of the electrodes can be exploited to accurately detect artifacts.
However, when f... | 0 | 0 | 0 | 1 | 1 | 0 |
Bases of standard modules for affine Lie algebras of type $C_\ell^{(1)}$ | Feigin-Stoyanovsky's type subspaces for affine Lie algebras of type
$C_\ell^{(1)}$ have monomial bases with a nice combinatorial description. We
describe bases of whole standard modules in terms of semi-infinite monomials
obtained as "a limit of translations" of bases for Feigin-Stoyanovsky's type
subspaces.
| 0 | 0 | 1 | 0 | 0 | 0 |
Connectivity-Driven Brain Parcellation via Consensus Clustering | We present two related methods for deriving connectivity-based brain atlases
from individual connectomes. The proposed methods exploit a previously proposed
dense connectivity representation, termed continuous connectivity, by first
performing graph-based hierarchical clustering of individual brains, and
subsequently... | 0 | 0 | 0 | 1 | 1 | 0 |
Baryon acoustic oscillations from the complete SDSS-III Ly$α$-quasar cross-correlation function at $z=2.4$ | We present a measurement of baryon acoustic oscillations (BAO) in the
cross-correlation of quasars with the Ly$\alpha$-forest flux-transmission at a
mean redshift $z=2.40$. The measurement uses the complete SDSS-III data sample:
168,889 forests and 234,367 quasars from the SDSS Data Release DR12. In
addition to the s... | 0 | 1 | 0 | 0 | 0 | 0 |
Gamma-ray and Optical Oscillations of 0716+714, MRK 421, and BL Lac | We examine the 2008-2016 $\gamma$-ray and optical light curves of three
bright BL Lac objects, 0716+714, MRK 421, BL Lac, which exhibit large
structured variability. We searched for periodicities by using a fully Bayesian
approach. For two out of three sources investigated no significant periodic
variability was foun... | 0 | 1 | 0 | 0 | 0 | 0 |
Antibonding Ground state of Adatom Molecules in Bulk Dirac Semimetals | The ground state of the diatomic molecules in nature is inevitably bonding,
and its first excited state is antibonding. We demonstrate theoretically that,
for a pair of distant adatoms placed buried in three-dimensional-Dirac
semimetals, this natural order of the states can be reversed and an antibonding
ground state... | 0 | 1 | 0 | 0 | 0 | 0 |
Baby MIND: A magnetized segmented neutrino detector for the WAGASCI experiment | T2K (Tokai-to-Kamioka) is a long-baseline neutrino experiment in Japan
designed to study various parameters of neutrino oscillations. A near detector
complex (ND280) is located 280~m downstream of the production target and
measures neutrino beam parameters before any oscillations occur. ND280's
measurements are used ... | 0 | 1 | 0 | 0 | 0 | 0 |
Applications of noncommutative deformations | For a general class of contractions of a variety X to a base Y, I discuss
recent joint work with M. Wemyss defining a noncommutative enhancement of the
locus in Y over which the contraction is not an isomorphism, along with
applications to the derived symmetries of X. This note is based on a talk given
at the Kinosak... | 0 | 0 | 1 | 0 | 0 | 0 |
Photometric and radial-velocity time-series of RR Lyrae stars in M3: analysis of single-mode variables | We present the first simultaneous photometric and spectroscopic investigation
of a large set of RR Lyrae variables in a globular cluster. The radial-velocity
data presented comprise the largest sample of RVs of RR Lyrae stars ever
obtained. The target is M3; $BVI_{\mathrm{C}}$ time-series of 111 and $b$ flux
data of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Particlelike scattering states in a microwave cavity | We realize scattering states in a lossy and chaotic two-dimensional microwave
cavity which follow bundles of classical particle trajectories. To generate
such particlelike scattering states we measure the system's transmission matrix
and apply an adapted Wigner-Smith time-delay formalism to it. The necessary
shaping ... | 0 | 1 | 0 | 0 | 0 | 0 |
Market Self-Learning of Signals, Impact and Optimal Trading: Invisible Hand Inference with Free Energy | We present a simple model of a non-equilibrium self-organizing market where
asset prices are partially driven by investment decisions of a bounded-rational
agent. The agent acts in a stochastic market environment driven by various
exogenous "alpha" signals, agent's own actions (via market impact), and noise.
Unlike t... | 0 | 0 | 0 | 0 | 0 | 1 |
Current-driven skyrmion dynamics in disordered films | A theoretical study of the current-driven dynamics of magnetic skyrmions in
disordered perpendicularly-magnetized ultrathin films is presented. The
disorder is simulated as a granular structure in which the local anisotropy
varies randomly from grain to grain. The skyrmion velocity is computed for
different disorder ... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Rigidity of Riemannian-Penrose Inequality for Asymptotically Flat 3-manifolds with Corners | In this paper we prove a rigidity result for the equality case of the Penrose
inequality on $3$-dimensional asymptotically flat manifolds with nonnegative
scalar curvature and corners. Our result also has deep connections with the
equality cases of Theorem 1 in \cite{Miao2} and Theorem 1.1 in \cite{LM}.
| 0 | 0 | 1 | 0 | 0 | 0 |
An Algebra Model for the Higher Order Sum Rules | We introduce an algebra model to study higher order sum rules for orthogonal
polynomials on the unit circle. We build the relation between the algebra model
and sum rules, and prove an equivalent expression on the algebra side for the
sum rules, involving a Hall-Littlewood type polynomial. By this expression, we
reco... | 0 | 0 | 1 | 0 | 0 | 0 |
On maxispaces of nonparametric tests | For the problems of nonparametric hypothesis testing we introduce the notion
of maxisets and maxispace. We point out the maxisets of $\chi^2-$tests,
Cramer-von Mises tests, tests generated $\mathbb{L}_2$- norms of kernel
estimators and tests generated quadratic forms of estimators of Fourier
coefficients. For these t... | 0 | 0 | 1 | 1 | 0 | 0 |
Learning Unsupervised Learning Rules | A major goal of unsupervised learning is to discover data representations
that are useful for subsequent tasks, without access to supervised labels
during training. Typically, this goal is approached by minimizing a surrogate
objective, such as the negative log likelihood of a generative model, with the
hope that rep... | 0 | 0 | 0 | 1 | 0 | 0 |
Conformal Nanocarbon Coating of Alumina Nanocrystals for Biosensing and Bioimaging | A conformal coating technique with nanocarbon was developed to enhance the
surface properties of alumina nanoparticles for bio-applications. The
ultra-thin carbon layer induces new surface properties such as water
dispersion, cytocompatibility and tuneable surface chemistry, while maintaining
the optical properties o... | 0 | 1 | 0 | 0 | 0 | 0 |
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