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 |
|---|---|---|---|---|---|---|---|
Large-sample approximations for variance-covariance matrices of high-dimensional time series | Distributional approximations of (bi--) linear functions of sample
variance-covariance matrices play a critical role to analyze vector time
series, as they are needed for various purposes, especially to draw inference
on the dependence structure in terms of second moments and to analyze
projections onto lower dimensi... | 0 | 0 | 1 | 1 | 0 | 0 |
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers | We introduce a criterion, resilience, which allows properties of a dataset
(such as its mean or best low rank approximation) to be robustly computed, even
in the presence of a large fraction of arbitrary additional data. Resilience is
a weaker condition than most other properties considered so far in the
literature, ... | 1 | 0 | 0 | 1 | 0 | 0 |
Non-Euclidean geometry, nontrivial topology and quantum vacuum effects | Space out of a topological defect of the Abrikosov-Nielsen-Olesen vortex type
is locally flat but non-Euclidean. If a spinor field is quantized in such a
space, then a variety of quantum effects is induced in the vacuum. Basing on
the continuum model for long-wavelength electronic excitations, originating in
the tigh... | 0 | 1 | 0 | 0 | 0 | 0 |
Spatial risk measures and rate of spatial diversification | An accurate assessment of the risk of extreme environmental events is of
great importance for populations, authorities and the banking/insurance
industry. Koch (2017) introduced a notion of spatial risk measure and a
corresponding set of axioms which are well suited to analyze the risk due to
events having a spatial ... | 0 | 0 | 0 | 0 | 0 | 1 |
Double Homotopy (Co)Limits for Relative Categories | We answer the question to what extent homotopy (co)limits in categories with
weak equivalences allow for a Fubini-type interchange law. The main obstacle is
that we do not assume our categories with weak equivalences to come equipped
with a calculus for homotopy (co)limits, such as a derivator.
| 0 | 0 | 1 | 0 | 0 | 0 |
Theory of ground states for classical Heisenberg spin systems I | We formulate part I of a rigorous theory of ground states for classical,
finite, Heisenberg spin systems. The main result is that all ground states can
be constructed from the eigenvectors of a real, symmetric matrix with entries
comprising the coupling constants of the spin system as well as certain
Lagrange paramet... | 0 | 1 | 1 | 0 | 0 | 0 |
A Pliable Index Coding Approach to Data Shuffling | A promising research area that has recently emerged, is on how to use index
coding to improve the communication efficiency in distributed computing
systems, especially for data shuffling in iterative computations. In this
paper, we posit that pliable index coding can offer a more efficient framework
for data shufflin... | 1 | 0 | 0 | 0 | 0 | 0 |
The statistical challenge of constraining the low-mass IMF in Local Group dwarf galaxies | We use Monte Carlo simulations to explore the statistical challenges of
constraining the characteristic mass ($m_c$) and width ($\sigma$) of a
lognormal sub-solar initial mass function (IMF) in Local Group dwarf galaxies
using direct star counts. For a typical Milky Way (MW) satellite ($M_{V} =
-8$), jointly constrai... | 0 | 1 | 0 | 0 | 0 | 0 |
Spatial analysis of airborne laser scanning point clouds for predicting forest variables | With recent developments in remote sensing technologies, plot-level forest
resources can be predicted utilizing airborne laser scanning (ALS). The
prediction is often assisted by mostly vertical summaries of the ALS point
clouds. We present a spatial analysis of the point cloud by studying the
horizontal distribution... | 0 | 0 | 0 | 1 | 1 | 0 |
Analytic and arithmetic properties of the $(Γ,χ)$-automorphic reproducing kernel function | We consider the reproducing kernel function of the theta Bargmann-Fock
Hilbert space associated to given full-rank lattice and pseudo-character, and
we deal with some of its analytical and arithmetical properties. Specially, the
distribution and discreteness of its zeros are examined and analytic sets
inside a produc... | 0 | 0 | 1 | 0 | 0 | 0 |
Concentration of $1$-Lipschitz functions on manifolds with boundary with Dirichlet boundary condition | In this paper, we consider a concentration of measure problem on Riemannian
manifolds with boundary. We study concentration phenomena of non-negative
$1$-Lipschitz functions with Dirichlet boundary condition around zero, which is
called boundary concentration phenomena. We first examine relation between
boundary conc... | 0 | 0 | 1 | 0 | 0 | 0 |
Simulated Annealing for JPEG Quantization | JPEG is one of the most widely used image formats, but in some ways remains
surprisingly unoptimized, perhaps because some natural optimizations would go
outside the standard that defines JPEG. We show how to improve JPEG compression
in a standard-compliant, backward-compatible manner, by finding improved
default qua... | 1 | 0 | 0 | 0 | 0 | 0 |
Greedy Strategy Works for Clustering with Outliers and Coresets Construction | We study the problems of clustering with outliers in high dimension. Though a
number of methods have been developed in the past decades, it is still quite
challenging to design quality guaranteed algorithms with low complexities for
the problems. Our idea is inspired by the greedy method, Gonzalez's algorithm,
for so... | 1 | 0 | 0 | 0 | 0 | 0 |
All-but-the-Top: Simple and Effective Postprocessing for Word Representations | Real-valued word representations have transformed NLP applications; popular
examples are word2vec and GloVe, recognized for their ability to capture
linguistic regularities. In this paper, we demonstrate a {\em very simple}, and
yet counter-intuitive, postprocessing technique -- eliminate the common mean
vector and a... | 1 | 0 | 0 | 1 | 0 | 0 |
Detecting Near Duplicates in Software Documentation | Contemporary software documentation is as complicated as the software itself.
During its lifecycle, the documentation accumulates a lot of near duplicate
fragments, i.e. chunks of text that were copied from a single source and were
later modified in different ways. Such near duplicates decrease documentation
quality ... | 1 | 0 | 0 | 0 | 0 | 0 |
L-Graphs and Monotone L-Graphs | In an $\mathsf{L}$-embedding of a graph, each vertex is represented by an
$\mathsf{L}$-segment, and two segments intersect each other if and only if the
corresponding vertices are adjacent in the graph. If the corner of each
$\mathsf{L}$-segment in an $\mathsf{L}$-embedding lies on a straight line, we
call it a monot... | 1 | 0 | 0 | 0 | 0 | 0 |
ZigZag: A new approach to adaptive online learning | We develop a novel family of algorithms for the online learning setting with
regret against any data sequence bounded by the empirical Rademacher complexity
of that sequence. To develop a general theory of when this type of adaptive
regret bound is achievable we establish a connection to the theory of
decoupling ineq... | 1 | 0 | 1 | 1 | 0 | 0 |
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping | Objective: We investigate whether deep learning techniques for natural
language processing (NLP) can be used efficiently for patient phenotyping.
Patient phenotyping is a classification task for determining whether a patient
has a medical condition, and is a crucial part of secondary analysis of
healthcare data. We a... | 1 | 0 | 0 | 1 | 0 | 0 |
Jackknife multiplier bootstrap: finite sample approximations to the $U$-process supremum with applications | This paper is concerned with finite sample approximations to the supremum of
a non-degenerate $U$-process of a general order indexed by a function class. We
are primarily interested in situations where the function class as well as the
underlying distribution change with the sample size, and the $U$-process itself
is... | 0 | 0 | 1 | 1 | 0 | 0 |
On the universality of anomalous scaling exponents of structure functions in turbulent flows | All previous experiments in open turbulent flows (e.g. downstream of grids,
jet and atmospheric boundary layer) have produced quantitatively consistent
values for the scaling exponents of velocity structure functions. The only
measurement in closed turbulent flow (von Kármán swirling flow) using
Taylor-hypothesis, ho... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Heat Kernel and Weyl Anomaly of Schrödinger invariant theory | We propose a method inspired from discrete light cone quantization (DLCQ) to
determine the heat kernel for a Schrödinger field theory (Galilean boost
invariant with $z=2$ anisotropic scaling symmetry) living in $d+1$ dimensions,
coupled to a curved Newton-Cartan background starting from a heat kernel of a
relativisti... | 0 | 1 | 0 | 0 | 0 | 0 |
Tree-based networks: characterisations, metrics, and support trees | Phylogenetic networks generalise phylogenetic trees and allow for the
accurate representation of the evolutionary history of a set of present-day
species whose past includes reticulate events such as hybridisation and lateral
gene transfer. One way to obtain such a network is by starting with a (rooted)
phylogenetic ... | 1 | 0 | 0 | 0 | 0 | 0 |
Comparing People with Bibliometrics | Bibliometric indicators, citation counts and/or download counts are
increasingly being used to inform personnel decisions such as hiring or
promotions. These statistics are very often misused. Here we provide a guide to
the factors which should be considered when using these so-called quantitative
measures to evaluat... | 1 | 1 | 0 | 0 | 0 | 0 |
Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai | Unprecedented human mobility has driven the rapid urbanization around the
world. In China, the fraction of population dwelling in cities increased from
17.9% to 52.6% between 1978 and 2012. Such large-scale migration poses
challenges for policymakers and important questions for researchers. To
investigate the process... | 1 | 1 | 0 | 0 | 0 | 0 |
A computational method for estimating Burr XII parameters with complete and multiple censored data | Flexibility in shape and scale of Burr XII distribution can make close
approximation of numerous well-known probability density functions. Due to
these capabilities, the usages of Burr XII distribution are applied in risk
analysis, lifetime data analysis and process capability estimation. In this
paper the Cross-Entr... | 0 | 0 | 0 | 1 | 0 | 0 |
Locally stationary spatio-temporal interpolation of Argo profiling float data | Argo floats measure seawater temperature and salinity in the upper 2,000 m of
the global ocean. Statistical analysis of the resulting spatio-temporal dataset
is challenging due to its nonstationary structure and large size. We propose
mapping these data using locally stationary Gaussian process regression where
covar... | 0 | 1 | 0 | 1 | 0 | 0 |
Knowledge Reuse for Customization: Metamodels in an Open Design Community for 3d Printing | Theories of knowledge reuse posit two distinct processes: reuse for
replication and reuse for innovation. We identify another distinct process,
reuse for customization. Reuse for customization is a process in which
designers manipulate the parameters of metamodels to produce models that
fulfill their personal needs. ... | 1 | 0 | 0 | 0 | 0 | 0 |
Dynamic Rank Maximal Matchings | We consider the problem of matching applicants to posts where applicants have
preferences over posts. Thus the input to our problem is a bipartite graph G =
(A U P,E), where A denotes a set of applicants, P is a set of posts, and there
are ranks on edges which denote the preferences of applicants over posts. A
matchi... | 1 | 0 | 0 | 0 | 0 | 0 |
Early identification of important patents through network centrality | One of the most challenging problems in technological forecasting is to
identify as early as possible those technologies that have the potential to
lead to radical changes in our society. In this paper, we use the US patent
citation network (1926-2010) to test our ability to early identify a list of
historically sign... | 1 | 0 | 0 | 0 | 0 | 0 |
Central limit theorem for the variable bandwidth kernel density estimators | In this paper we study the ideal variable bandwidth kernel density estimator
introduced by McKay (1993) and Jones, McKay and Hu (1994) and the plug-in
practical version of the variable bandwidth kernel estimator with two sequences
of bandwidths as in Giné and Sang (2013). Based on the bias and variance
analysis of th... | 0 | 0 | 1 | 1 | 0 | 0 |
Distance-to-Mean Continuous Conditional Random Fields to Enhance Prediction Problem in Traffic Flow Data | The increase of vehicle in highways may cause traffic congestion as well as
in the normal roadways. Predicting the traffic flow in highways especially, is
demanded to solve this congestion problem. Predictions on time-series
multivariate data, such as in the traffic flow dataset, have been largely
accomplished throug... | 1 | 0 | 0 | 0 | 0 | 0 |
Submap-based Pose-graph Visual SLAM: A Robust Visual Exploration and Localization System | For VSLAM (Visual Simultaneous Localization and Mapping), localization is a
challenging task, especially for some challenging situations: textureless
frames, motion blur, etc.. To build a robust exploration and localization
system in a given space or environment, a submap-based VSLAM system is proposed
in this paper.... | 1 | 0 | 0 | 0 | 0 | 0 |
Partial and Total Dielectronic Recombination Rate Coefficients for W$^{55+}$ to W$^{38+}$ | Dielectronic recombination (DR) is the dominant mode of recombination in
magnetically confined fusion plasmas for intermediate to low-charged ions of W.
Complete, final-state resolved partial isonuclear W DR rate coefficient data is
required for detailed collisional-radiative modelling for such plasmas in
preparation... | 0 | 1 | 0 | 0 | 0 | 0 |
Congenial Causal Inference with Binary Structural Nested Mean Models | Structural nested mean models (SNMMs) are among the fundamental tools for
inferring causal effects of time-dependent exposures from longitudinal studies.
With binary outcomes, however, current methods for estimating multiplicative
and additive SNMM parameters suffer from variation dependence between the
causal SNMM p... | 0 | 0 | 0 | 1 | 0 | 0 |
Improving Search through A3C Reinforcement Learning based Conversational Agent | We develop a reinforcement learning based search assistant which can assist
users through a set of actions and sequence of interactions to enable them
realize their intent. Our approach caters to subjective search where the user
is seeking digital assets such as images which is fundamentally different from
the tasks ... | 1 | 0 | 0 | 0 | 0 | 0 |
Eco-Routing based on a Data Driven Fuel Consumption Model | A nonparametric fuel consumption model is developed and used for eco-routing
algorithm development in this paper. Six months of driving information from the
city of Ann Arbor is collected from 2,000 vehicles. The road grade information
from more than 1,100 km of road network is modeled and the software Autonomie
is u... | 0 | 0 | 0 | 1 | 0 | 0 |
SuperSpike: Supervised learning in multi-layer spiking neural networks | A vast majority of computation in the brain is performed by spiking neural
networks. Despite the ubiquity of such spiking, we currently lack an
understanding of how biological spiking neural circuits learn and compute
in-vivo, as well as how we can instantiate such capabilities in artificial
spiking circuits in-silic... | 1 | 0 | 0 | 1 | 0 | 0 |
Distributions-oriented wind forecast verification by a hidden Markov model for multivariate circular-linear data | Winds from the North-West quadrant and lack of precipitation are known to
lead to an increase of PM10 concentrations over a residential neighborhood in
the city of Taranto (Italy). In 2012 the local government prescribed a
reduction of industrial emissions by 10% every time such meteorological
conditions are forecast... | 0 | 0 | 0 | 1 | 0 | 0 |
Mean Field Residual Networks: On the Edge of Chaos | We study randomly initialized residual networks using mean field theory and
the theory of difference equations. Classical feedforward neural networks, such
as those with tanh activations, exhibit exponential behavior on the average
when propagating inputs forward or gradients backward. The exponential forward
dynamic... | 1 | 1 | 0 | 0 | 0 | 0 |
Automorphisms and deformations of conformally Kähler, Einstein-Maxwell metrics | We obtain a structure theorem for the group of holomorphic automorphisms of a
conformally Kähler, Einstein-Maxwell metric, extending the classical results
of Matsushima, Licherowicz and Calabi in the Kähler-Einstein, cscK, and
extremal Kähler cases. Combined with previous results of LeBrun,
Apostolov-Maschler and Fut... | 0 | 0 | 1 | 0 | 0 | 0 |
Human-Level Intelligence or Animal-Like Abilities? | The vision systems of the eagle and the snake outperform everything that we
can make in the laboratory, but snakes and eagles cannot build an eyeglass or a
telescope or a microscope. (Judea Pearl)
| 1 | 0 | 0 | 1 | 0 | 0 |
Wembedder: Wikidata entity embedding web service | I present a web service for querying an embedding of entities in the Wikidata
knowledge graph. The embedding is trained on the Wikidata dump using Gensim's
Word2Vec implementation and a simple graph walk. A REST API is implemented.
Together with the Wikidata API the web service exposes a multilingual resource
for ove... | 1 | 0 | 0 | 1 | 0 | 0 |
Meta-Learning for Contextual Bandit Exploration | We describe MELEE, a meta-learning algorithm for learning a good exploration
policy in the interactive contextual bandit setting. Here, an algorithm must
take actions based on contexts, and learn based only on a reward signal from
the action taken, thereby generating an exploration/exploitation trade-off.
MELEE addre... | 1 | 0 | 0 | 1 | 0 | 0 |
Population polarization dynamics and next-generation social media algorithms | We present a many-body theory that explains and reproduces recent
observations of population polarization dynamics, is supported by controlled
human experiments, and addresses the controversy surrounding the Internet's
impact. It predicts that whether and how a population becomes polarized is
dictated by the nature o... | 0 | 1 | 0 | 0 | 0 | 0 |
Ride Sharing and Dynamic Networks Analysis | The potential of an efficient ride-sharing scheme to significantly reduce
traffic congestion, lower emission level, as well as facilitating the
introduction of smart cities has been widely demonstrated. This positive thrust
however is faced with several delaying factors, one of which is the volatility
and unpredictab... | 1 | 1 | 0 | 0 | 0 | 0 |
Gas Adsorption and Dynamics in Pillared Graphene Frameworks | Pillared Graphene Frameworks are a novel class of microporous materials made
by graphene sheets separated by organic spacers. One of their main features is
that the pillar type and density can be chosen to tune the material properties.
In this work, we present a computer simulation study of adsorption and dynamics
of... | 0 | 1 | 0 | 0 | 0 | 0 |
DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition | Recent progress in computer vision has been dominated by deep neural networks
trained over large amounts of labeled data. Collecting such datasets is however
a tedious, often impossible task; hence a surge in approaches relying solely on
synthetic data for their training. For depth images however, discrepancies with
... | 1 | 0 | 0 | 0 | 0 | 0 |
Short Laws for Finite Groups and Residual Finiteness Growth | We prove that for every $n \in \mathbb{N}$ and $\delta>0$ there exists a word
$w_n \in F_2$ of length $n^{2/3} \log(n)^{3+\delta}$ which is a law for every
finite group of order at most $n$. This improves upon the main result of [A.
Thom, About the length of laws for finite groups, Isr. J. Math.]. As an
application w... | 0 | 0 | 1 | 0 | 0 | 0 |
Majorana Spin Liquids, Topology and Superconductivity in Ladders | We theoretically address spin chain analogs of the Kitaev quantum spin model
on the honeycomb lattice. The emergent quantum spin liquid phases or Anderson
resonating valence bond (RVB) states can be understood, as an effective model,
in terms of p-wave superconductivity and Majorana fermions. We derive a
generalized ... | 0 | 1 | 0 | 0 | 0 | 0 |
Conditional Mean and Quantile Dependence Testing in High Dimension | Motivated by applications in biological science, we propose a novel test to
assess the conditional mean dependence of a response variable on a large number
of covariates. Our procedure is built on the martingale difference divergence
recently proposed in Shao and Zhang (2014), and it is able to detect a certain
type ... | 0 | 0 | 1 | 1 | 0 | 0 |
Finding low-tension communities | Motivated by applications that arise in online social media and collaboration
networks, there has been a lot of work on community-search and team-formation
problems. In the former class of problems, the goal is to find a subgraph that
satisfies a certain connectivity requirement and contains a given collection of
see... | 1 | 1 | 0 | 0 | 0 | 0 |
Cohomology of the flag variety under PBW degenerations | PBW degenerations are a particularly nice family of flat degenerations of
type A flag varieties. We show that the cohomology of any PBW degeneration of
the flag variety surjects onto the cohomology of the original flag variety, and
that this holds in an equivariant setting too. We also prove that the same is
true in ... | 0 | 0 | 1 | 0 | 0 | 0 |
Exact MAP inference in general higher-order graphical models using linear programming | This paper is concerned with the problem of exact MAP inference in general
higher-order graphical models by means of a traditional linear programming
relaxation approach. In fact, the proof that we have developed in this paper is
a rather simple algebraic proof being made straightforward, above all, by the
introducti... | 1 | 0 | 0 | 0 | 0 | 0 |
Dissolution of topological Fermi arcs in a dirty Weyl semimetal | Weyl semimetals (WSMs) have recently attracted a great deal of attention as
they provide condensed matter realization of chiral anomaly, feature
topologically protected Fermi arc surface states and sustain sharp chiral Weyl
quasiparticles up to a critical disorder at which a continuous quantum phase
transition (QPT) ... | 0 | 1 | 0 | 0 | 0 | 0 |
Performance Improvement in Noisy Linear Consensus Networks with Time-Delay | We analyze performance of a class of time-delay first-order consensus
networks from a graph topological perspective and present methods to improve
it. The performance is measured by network's square of H-2 norm and it is shown
that it is a convex function of Laplacian eigenvalues and the coupling weights
of the under... | 1 | 0 | 0 | 0 | 0 | 0 |
Use of First and Third Person Views for Deep Intersection Classification | We explore the problem of intersection classification using monocular
on-board passive vision, with the goal of classifying traffic scenes with
respect to road topology. We divide the existing approaches into two broad
categories according to the type of input data: (a) first person vision (FPV)
approaches, which use... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Liouville heat kernel for k-coarse MBRW and nonuniversality | We study the Liouville heat kernel (in the $L^2$ phase) associated with a
class of logarithmically correlated Gaussian fields on the two dimensional
torus. We show that for each $\varepsilon>0$ there exists such a field, whose
covariance is a bounded perturbation of that of the two dimensional Gaussian
free field, an... | 0 | 0 | 1 | 0 | 0 | 0 |
Bounding the convergence time of local probabilistic evolution | Isoperimetric inequalities form a very intuitive yet powerful
characterization of the connectedness of a state space, that has proven
successful in obtaining convergence bounds. Since the seventies they form an
essential tool in differential geometry, graph theory and Markov chain
analysis. In this paper we use isope... | 1 | 0 | 0 | 0 | 0 | 0 |
Excitable behaviors | This chapter revisits the concept of excitability, a basic system property of
neurons. The focus is on excitable systems regarded as behaviors rather than
dynamical systems. By this we mean open systems modulated by specific
interconnection properties rather than closed systems classified by their
parameter ranges. M... | 1 | 0 | 0 | 0 | 0 | 0 |
Laplacian solitons: questions and homogeneous examples | We give the first examples of closed Laplacian solitons which are shrinking,
and in particular produce closed Laplacian flow solutions with a finite-time
singularity. Extremally Ricci pinched G2-structures (introduced by Bryant)
which are steady Laplacian solitons have also been found. All the examples are
left-invar... | 0 | 0 | 1 | 0 | 0 | 0 |
The Markoff Group of Transformations in Prime and Composite Moduli | The Markoff group of transformations is a group $\Gamma$ of affine integral
morphisms, which is known to act transitively on the set of all positive
integer solutions to the equation $x^{2}+y^{2}+z^{2}=xyz$. The fundamental
strong approximation conjecture for the Markoff equation states that for every
prime $p$, the ... | 0 | 0 | 1 | 0 | 0 | 0 |
The equivariant index of twisted dirac operators and semi-classical limits | Consider a spin manifold M, equipped with a line bundle L and an action of a
compact Lie group G. We can attach to this data a family Theta(k) of
distributions on the dual of the Lie algebra of G. The aim of this paper is to
study the asymptotic behaviour of Theta(k) when k is large, and M possibly non
compact, and t... | 0 | 0 | 1 | 0 | 0 | 0 |
Proportionally Representative Participatory Budgeting: Axioms and Algorithms | Participatory budgeting is one of the exciting developments in deliberative
grassroots democracy. We concentrate on approval elections and propose
proportional representation axioms in participatory budgeting, by generalizing
relevant axioms for approval-based multi-winner elections. We observe a rich
landscape with ... | 1 | 0 | 0 | 0 | 0 | 0 |
The Arctic Ocean seasonal cycles of heat and freshwater fluxes: observation-based inverse estimates | This paper presents the first estimate of the seasonal cycle of ocean and sea
ice net heat and freshwater (FW) fluxes around the boundary of the Arctic
Ocean. The ocean transports are estimated primarily using 138 moored
instruments deployed in September 2005 to August 2006 across the four main
Arctic gateways: Davis... | 0 | 1 | 0 | 0 | 0 | 0 |
Standard Zero-Free Regions for Rankin--Selberg L-Functions via Sieve Theory | We give a simple proof of a standard zero-free region in the $t$-aspect for
the Rankin--Selberg $L$-function $L(s,\pi \times \widetilde{\pi})$ for any
unitary cuspidal automorphic representation $\pi$ of
$\mathrm{GL}_n(\mathbb{A}_F)$ that is tempered at every nonarchimedean place
outside a set of Dirichlet density ze... | 0 | 0 | 1 | 0 | 0 | 0 |
Mass transfer in asymptotic-giant-branch binary systems | Binary stars can interact via mass transfer when one member (the primary)
ascends onto a giant branch. The amount of gas ejected by the binary and the
amount of gas accreted by the secondary over the lifetime of the primary
influence the subsequent binary phenomenology. Some of the gas ejected by the
binary will rema... | 0 | 1 | 0 | 0 | 0 | 0 |
On polar relative normalizations of ruled surfaces | This paper deals with skew ruled surfaces in the Euclidean space
$\mathbb{E}^{3}$ which are equipped with polar normalizations, that is,
relative normalizations such that the relative normal at each point of the
ruled surface lies on the corresponding polar plane. We determine the
invariants of a such normalized rule... | 0 | 0 | 1 | 0 | 0 | 0 |
Femtosecond X-ray Fourier holography imaging of free-flying nanoparticles | Ultrafast X-ray imaging provides high resolution information on individual
fragile specimens such as aerosols, metastable particles, superfluid quantum
systems and live biospecimen, which is inaccessible with conventional imaging
techniques. Coherent X-ray diffractive imaging, however, suffers from intrinsic
loss of ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Rank Effect | We decompose returns for portfolios of bottom-ranked, lower-priced assets
relative to the market into rank crossovers and changes in the relative price
of those bottom-ranked assets. This decomposition is general and consistent
with virtually any asset pricing model. Crossovers measure changes in rank and
are smoothl... | 0 | 0 | 0 | 0 | 0 | 1 |
The Generalized Label Correcting Method for Optimal Kinodynamic Motion Planning | Nearly all autonomous robotic systems use some form of motion planning to
compute reference motions through their environment. An increasing use of
autonomous robots in a broad range of applications creates a need for
efficient, general purpose motion planning algorithms that are applicable in
any of these new applic... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning to Compose Task-Specific Tree Structures | For years, recursive neural networks (RvNNs) have been shown to be suitable
for representing text into fixed-length vectors and achieved good performance
on several natural language processing tasks. However, the main drawback of
RvNNs is that they require structured input, which makes data preparation and
model impl... | 1 | 0 | 0 | 0 | 0 | 0 |
Navier-Stokes flow past a rigid body: attainability of steady solutions as limits of unsteady weak solutions, starting and landing cases | Consider the Navier-Stokes flow in 3-dimensional exterior domains, where a
rigid body is translating with prescribed translational velocity
$-h(t)u_\infty$ with constant vector $u_\infty\in \mathbb R^3\setminus\{0\}$.
Finn raised the question whether his steady slutions are attainable as limits
for $t\to\infty$ of un... | 0 | 0 | 1 | 0 | 0 | 0 |
Flux cost functions and the choice of metabolic fluxes | Metabolic fluxes in cells are governed by physical, biochemical,
physiological, and economic principles. Cells may show "economical" behaviour,
trading metabolic performance against the costly side-effects of high enzyme or
metabolite concentrations. Some constraint-based flux prediction methods score
fluxes by heuri... | 0 | 0 | 0 | 0 | 1 | 0 |
Finding Archetypal Spaces for Data Using Neural Networks | Archetypal analysis is a type of factor analysis where data is fit by a
convex polytope whose corners are "archetypes" of the data, with the data
represented as a convex combination of these archetypal points. While
archetypal analysis has been used on biological data, it has not achieved
widespread adoption because ... | 1 | 0 | 0 | 1 | 0 | 0 |
Formally continuous functions on Baire space | A function from Baire space to the natural numbers is called formally
continuous if it is induced by a morphism between the corresponding formal
spaces. We compare formal continuity to two other notions of continuity on
Baire space working in Bishop constructive mathematics: one is a function
induced by a Brouwer-ope... | 1 | 0 | 1 | 0 | 0 | 0 |
Universal Joint Image Clustering and Registration using Partition Information | We consider the problem of universal joint clustering and registration of
images and define algorithms using multivariate information functionals. We
first study registering two images using maximum mutual information and prove
its asymptotic optimality. We then show the shortcomings of pairwise
registration in multi... | 1 | 0 | 1 | 1 | 0 | 0 |
Quantitative statistical stability and speed of convergence to equilibrium for partially hyperbolic skew products | We consider a general relation between fixed point stability of suitably
perturbed transfer operators and convergence to equilibrium (a notion which is
strictly related to decay of correlations). We apply this relation to
deterministic perturbations of a class of (piecewise) partially hyperbolic skew
products whose b... | 0 | 0 | 1 | 0 | 0 | 0 |
Minimax Rényi Redundancy | The redundancy for universal lossless compression of discrete memoryless
sources in Campbell's setting is characterized as a minimax Rényi divergence,
which is shown to be equal to the maximal $\alpha$-mutual information via a
generalized redundancy-capacity theorem. Special attention is placed on the
analysis of the... | 1 | 0 | 1 | 0 | 0 | 0 |
DeepArchitect: Automatically Designing and Training Deep Architectures | In deep learning, performance is strongly affected by the choice of
architecture and hyperparameters. While there has been extensive work on
automatic hyperparameter optimization for simple spaces, complex spaces such as
the space of deep architectures remain largely unexplored. As a result, the
choice of architectur... | 0 | 0 | 0 | 1 | 0 | 0 |
Dynamical control of atoms with polarized bichromatic weak field | We propose ultranarrow dynamical control of population oscillation (PO)
between ground states through the polarization content of an input bichromatic
field. Appropriate engineering of classical interference between optical fields
results in PO arising exclusively from optical pumping. Contrary to the
expected broad ... | 0 | 1 | 0 | 0 | 0 | 0 |
Cycle packings of the complete multigraph | Bryant, Horsley, Maenhaut and Smith recently gave necessary and sufficient
conditions for when the complete multigraph can be decomposed into cycles of
specified lengths $m_1,m_2,\ldots,m_\tau$. In this paper we characterise
exactly when there exists a packing of the complete multigraph with cycles of
specified lengt... | 0 | 0 | 1 | 0 | 0 | 0 |
Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients | Modern statistical inference tasks often require iterative optimization
methods to approximate the solution. Convergence analysis from optimization
only tells us how well we are approximating the solution deterministically, but
overlooks the sampling nature of the data. However, due to the randomness in
the data, sta... | 0 | 0 | 1 | 1 | 0 | 0 |
Super cavity solitons and the coexistence of multiple nonlinear states in a tristable passive Kerr resonator | Passive Kerr cavities driven by coherent laser fields display a rich
landscape of nonlinear physics, including bistability, pattern formation, and
localised dissipative structures (solitons). Their conceptual simplicity has
for several decades offered an unprecedented window into nonlinear cavity
dynamics, providing ... | 0 | 1 | 0 | 0 | 0 | 0 |
Twisting and Mixing | We present a framework that connects three interesting classes of groups: the
twisted groups (also known as Suzuki-Ree groups), the mixed groups and the
exotic pseudo-reductive groups.
For a given characteristic p, we construct categories of twisted and mixed
schemes. Ordinary schemes are a full subcategory of the mi... | 0 | 0 | 1 | 0 | 0 | 0 |
KeyVec: Key-semantics Preserving Document Representations | Previous studies have demonstrated the empirical success of word embeddings
in various applications. In this paper, we investigate the problem of learning
distributed representations for text documents which many machine learning
algorithms take as input for a number of NLP tasks.
We propose a neural network model, K... | 1 | 0 | 0 | 0 | 0 | 0 |
Integer Factorization with a Neuromorphic Sieve | The bound to factor large integers is dominated by the computational effort
to discover numbers that are smooth, typically performed by sieving a
polynomial sequence. On a von Neumann architecture, sieving has log-log
amortized time complexity to check each value for smoothness. This work
presents a neuromorphic siev... | 1 | 0 | 0 | 0 | 0 | 0 |
Probabilistic Assessment of PV-Battery System Impacts on LV Distribution Networks | The increasing uptake of residential batteries has led to suggestions that
the prevalence of batteries on LV networks will serendipitously mitigate the
technical problems induced by PV installations. However, in general, the
effects of PV-battery systems on LV networks have not been well studied. Given
this backgroun... | 1 | 0 | 0 | 0 | 0 | 0 |
Simulating Cellular Communications in Vehicular Networks: Making SimuLTE Interoperable with Veins | The evolution of cellular technologies toward 5G progressively enables
efficient and ubiquitous communications in an increasing number of fields.
Among these, vehicular networks are being considered as one of the most
promising and challenging applications, requiring support for communications in
high-speed mobility ... | 1 | 0 | 0 | 0 | 0 | 0 |
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks | Training deep neural networks with Stochastic Gradient Descent, or its
variants, requires careful choice of both learning rate and batch size. While
smaller batch sizes generally converge in fewer training epochs, larger batch
sizes offer more parallelism and hence better computational efficiency. We have
developed a... | 1 | 0 | 0 | 1 | 0 | 0 |
Extremely broadband ultralight thermally emissive metasurfaces | We report the design, fabrication and characterization of ultralight highly
emissive metaphotonic structures with record-low mass/area that emit thermal
radiation efficiently over a broad spectral (2 to 35 microns) and angular (0-60
degrees) range. The structures comprise one to three pairs of alternating
nanometer-s... | 0 | 1 | 0 | 0 | 0 | 0 |
Wright-Fisher diffusions for evolutionary games with death-birth updating | We investigate spatial evolutionary games with death-birth updating in large
finite populations. Within growing spatial structures subject to appropriate
conditions, the density processes of a fixed type are proven to converge to the
Wright-Fisher diffusions with drift. In addition, convergence in the
Wasserstein dis... | 0 | 0 | 1 | 0 | 0 | 0 |
Quantized Compressed Sensing for Partial Random Circulant Matrices | We provide the first analysis of a non-trivial quantization scheme for
compressed sensing measurements arising from structured measurements.
Specifically, our analysis studies compressed sensing matrices consisting of
rows selected at random, without replacement, from a circulant matrix generated
by a random subgauss... | 1 | 0 | 1 | 0 | 0 | 0 |
Optimal Scheduling of Multi-Energy Systems with Flexible Electrical and Thermal Loads | This paper proposes a detailed optimal scheduling model of an exemplar
multi-energy system comprising combined cycle power plants (CCPPs), battery
energy storage systems, renewable energy sources, boilers, thermal energy
storage systems,electric loads and thermal loads. The proposed model considers
the detailed start... | 1 | 0 | 0 | 0 | 0 | 0 |
On the sharpness and the injective property of basic justification models | Justification Awareness Models, JAMs, were proposed by S.~Artemov as a tool
for modelling epistemic scenarios like Russel's Prime Minister example. It was
demonstrated that the sharpness and the injective property of a model play
essential role in the epistemic usage of JAMs. The problem to axiomatize these
propertie... | 1 | 0 | 0 | 0 | 0 | 0 |
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts | The splendid success of convolutional neural networks (CNNs) in computer
vision is largely attributed to the availability of large annotated datasets,
such as ImageNet and Places. However, in biomedical imaging, it is very
challenging to create such large annotated datasets, as annotating biomedical
images is not onl... | 0 | 0 | 0 | 1 | 0 | 0 |
Do triangle-free planar graphs have exponentially many 3-colorings? | Thomassen conjectured that triangle-free planar graphs have an exponential
number of $3$-colorings. We show this conjecture to be equivalent to the
following statement: there exists a positive real $\alpha$ such that whenever
$G$ is a planar graph and $A$ is a subset of its edges whose deletion makes $G$
triangle-fre... | 0 | 0 | 1 | 0 | 0 | 0 |
Smart TWAP trading in continuous-time equilibria | This paper presents a continuous-time equilibrium model of TWAP trading and
liquidity provision in a market with multiple strategic investors with
heterogeneous intraday trading targets. We solve the model in closed-form and
show there are infinitely many equilibria. We compare the competitive
equilibrium with differ... | 0 | 0 | 0 | 0 | 0 | 1 |
Self-sustained activity in balanced networks with low firing-rate | The brain can display self-sustained activity (SSA), which is the persistent
firing of neurons in the absence of external stimuli. This spontaneous activity
shows low neuronal firing rates and is observed in diverse in vitro and in vivo
situations. In this work, we study the influence of excitatory/inhibitory
balance... | 0 | 0 | 0 | 0 | 1 | 0 |
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data | Several important applications, such as streaming PCA and semidefinite
programming, involve a large-scale positive-semidefinite (psd) matrix that is
presented as a sequence of linear updates. Because of storage limitations, it
may only be possible to retain a sketch of the psd matrix. This paper develops
a new algori... | 1 | 0 | 0 | 1 | 0 | 0 |
A New Perspective on Robust $M$-Estimation: Finite Sample Theory and Applications to Dependence-Adjusted Multiple Testing | Heavy-tailed errors impair the accuracy of the least squares estimate, which
can be spoiled by a single grossly outlying observation. As argued in the
seminal work of Peter Huber in 1973 [{\it Ann. Statist.} {\bf 1} (1973)
799--821], robust alternatives to the method of least squares are sorely
needed. To achieve rob... | 0 | 0 | 1 | 1 | 0 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.