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 |
|---|---|---|---|---|---|---|---|
Fooling Sets and the Spanning Tree Polytope | In the study of extensions of polytopes of combinatorial optimization
problems, a notorious open question is that for the size of the smallest
extended formulation of the Minimum Spanning Tree problem on a complete graph
with $n$ nodes. The best known lower bound is $\Omega(n^2)$, the best known
upper bound is $O(n^3... | 1 | 0 | 1 | 0 | 0 | 0 |
From Azéma supermartingales of finite honest times to optional semimartingales of class-($Σ$) | Given a finite honest time, we derive representations for the additive and
multiplicative decomposition of it's Azéma supermartingale in terms of
optional supermartingales and its running supremum. We then extend the notion
of semimartingales of class-$(\Sigma)$ to optional semimartingales with jumps
in its finite va... | 0 | 0 | 0 | 0 | 0 | 1 |
Single versus Double Blind Reviewing at WSDM 2017 | In this paper we study the implications for conference program committees of
using single-blind reviewing, in which committee members are aware of the names
and affiliations of paper authors, versus double-blind reviewing, in which this
information is not visible to committee members. WSDM 2017, the 10th ACM
Internat... | 1 | 0 | 0 | 0 | 0 | 0 |
Scale-variant Topological Information for Characterizing Complex Networks | Real-world networks are difficult to characterize because of the variation of
topological scales, the non-dyadic complex interactions, and the fluctuations.
Here, we propose a general framework to address these problems via a
methodology grounded on topology data analysis. By observing the diffusion
process in a netw... | 1 | 0 | 0 | 0 | 0 | 0 |
Topological orbital superfluid with chiral d-wave order in a rotating optical lattice | Topological superfluid is an exotic state of quantum matter that possesses a
nodeless superfluid gap in the bulk and Andreev edge modes at the boundary of a
finite system. Here, we study a multi-orbital superfluid driven by attractive
s-wave interaction in a rotating optical lattice. Interestingly, we find that
the r... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal client recommendation for market makers in illiquid financial products | The process of liquidity provision in financial markets can result in
prolonged exposure to illiquid instruments for market makers. In this case,
where a proprietary position is not desired, pro-actively targeting the right
client who is likely to be interested can be an effective means to offset this
position, rathe... | 0 | 0 | 0 | 1 | 0 | 0 |
Design of an Audio Interface for Patmos | This paper describes the design and implementation of an audio interface for
the Patmos processor, which runs on an Altera DE2-115 FPGA board. This board
has an audio codec included, the WM8731. The interface described in this work
allows to receive and send audio from and to the WM8731, and to synthesize,
store or m... | 1 | 0 | 0 | 0 | 0 | 0 |
A Classifying Variational Autoencoder with Application to Polyphonic Music Generation | The variational autoencoder (VAE) is a popular probabilistic generative
model. However, one shortcoming of VAEs is that the latent variables cannot be
discrete, which makes it difficult to generate data from different modes of a
distribution. Here, we propose an extension of the VAE framework that
incorporates a clas... | 1 | 0 | 0 | 1 | 0 | 0 |
On Estimation of Isotonic Piecewise Constant Signals | Consider a sequence of real data points $X_1,\ldots, X_n$ with underlying
means $\theta^*_1,\dots,\theta^*_n$. This paper starts from studying the
setting that $\theta^*_i$ is both piecewise constant and monotone as a function
of the index $i$. For this, we establish the exact minimax rate of estimating
such monotone... | 0 | 0 | 1 | 1 | 0 | 0 |
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams | The concept of stochastic configuration networks (SCNs) others a solid
framework for fast implementation of feedforward neural networks through
randomized learning. Unlike conventional randomized approaches, SCNs provide an
avenue to select appropriate scope of random parameters to ensure the universal
approximation ... | 0 | 0 | 0 | 1 | 0 | 0 |
Extracting Syntactic Patterns from Databases | Many database columns contain string or numerical data that conforms to a
pattern, such as phone numbers, dates, addresses, product identifiers, and
employee ids. These patterns are useful in a number of data processing
applications, including understanding what a specific field represents when
field names are ambigu... | 1 | 0 | 0 | 0 | 0 | 0 |
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification | We address the problem of multi-class classification in the case where the
number of classes is very large. We propose a double sampling strategy on top
of a multi-class to binary reduction strategy, which transforms the original
multi-class problem into a binary classification problem over pairs of
examples. The aim... | 1 | 0 | 0 | 1 | 0 | 0 |
Understanding and predicting travel time with spatio-temporal features of network traffic flow, weather and incidents | Travel time on a route varies substantially by time of day and from day to
day. It is critical to understand to what extent this variation is correlated
with various factors, such as weather, incidents, events or travel demand level
in the context of dynamic networks. This helps a better decision making for
infrastru... | 0 | 0 | 0 | 1 | 0 | 0 |
The power of sum-of-squares for detecting hidden structures | We study planted problems---finding hidden structures in random noisy
inputs---through the lens of the sum-of-squares semidefinite programming
hierarchy (SoS). This family of powerful semidefinite programs has recently
yielded many new algorithms for planted problems, often achieving the best
known polynomial-time gu... | 1 | 0 | 0 | 0 | 0 | 0 |
An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis | Polynomial chaos expansions (PCE) have seen widespread use in the context of
uncertainty quantification. However, their application to structural
reliability problems has been hindered by the limited performance of PCE in the
tails of the model response and due to the lack of local metamodel error
estimates. We propo... | 0 | 0 | 0 | 1 | 0 | 0 |
Experimental Tests of Spirituality | We currently harness technologies that could shed new light on old
philosophical questions, such as whether our mind entails anything beyond our
body or whether our moral values reflect universal truth.
| 0 | 0 | 0 | 0 | 1 | 0 |
Chern classes and Gromov--Witten theory of projective bundles | We prove that the Gromov--Witten theory (GWT) of a projective bundle can be
determined by the Chern classes and the GWT of the base. It completely answers
a question raised in a previous paper (arXiv:1607.00740). Its consequences
include that the GWT of the blow-up of X at a smooth subvariety Z is uniquely
determined... | 0 | 0 | 1 | 0 | 0 | 0 |
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations | We introduce the concept of numerical Gaussian processes, which we define as
Gaussian processes with covariance functions resulting from temporal
discretization of time-dependent partial differential equations. Numerical
Gaussian processes, by construction, are designed to deal with cases where: (1)
all we observe ar... | 1 | 0 | 1 | 1 | 0 | 0 |
Learning from Experience: A Dynamic Closed-Loop QoE Optimization for Video Adaptation and Delivery | The quality of experience (QoE) is known to be subjective and
context-dependent. Identifying and calculating the factors that affect QoE is
indeed a difficult task. Recently, a lot of effort has been devoted to estimate
the users QoE in order to improve video delivery. In the literature, most of
the QoE-driven optimi... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep CNN based feature extractor for text-prompted speaker recognition | Deep learning is still not a very common tool in speaker verification field.
We study deep convolutional neural network performance in the text-prompted
speaker verification task. The prompted passphrase is segmented into word
states - i.e. digits -to test each digit utterance separately. We train a
single high-level... | 0 | 0 | 0 | 1 | 0 | 0 |
Data-Injection Attacks in Stochastic Control Systems: Detectability and Performance Tradeoffs | Consider a stochastic process being controlled across a communication
channel. The control signal that is transmitted across the control channel can
be replaced by a malicious attacker. The controller is allowed to implement any
arbitrary detection algorithm to detect if an attacker is present. This work
characterize... | 1 | 0 | 1 | 0 | 0 | 0 |
Efficient Version-Space Reduction for Visual Tracking | Discrminative trackers, employ a classification approach to separate the
target from its background. To cope with variations of the target shape and
appearance, the classifier is updated online with different samples of the
target and the background. Sample selection, labeling and updating the
classifier is prone to ... | 1 | 0 | 0 | 0 | 0 | 0 |
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts | Most of the JavaScript code deployed in the wild has been minified, a process
in which identifier names are replaced with short, arbitrary and meaningless
names. Minified code occupies less space, but also makes the code extremely
difficult to manually inspect and understand. This paper presents Context2Name,
a deep ... | 1 | 0 | 0 | 1 | 0 | 0 |
Reconstructing fluid dynamics with micro-finite element | In the theory of the Navier-Stokes equations, the viscous fluid in
incompressible flow is modelled as a homogeneous and dense assemblage of
constituent "fluid particles" with viscous stress proportional to rate of
strain. The crucial concept of fluid flow is the velocity of the particle that
is accelerated by the pre... | 0 | 1 | 0 | 0 | 0 | 0 |
Towards Black-box Iterative Machine Teaching | In this paper, we make an important step towards the black-box machine
teaching by considering the cross-space machine teaching, where the teacher and
the learner use different feature representations and the teacher can not fully
observe the learner's model. In such scenario, we study how the teacher is
still able t... | 1 | 0 | 0 | 1 | 0 | 0 |
On Generalization and Regularization in Deep Learning | Why do large neural network generalize so well on complex tasks such as image
classification or speech recognition? What exactly is the role regularization
for them? These are arguably among the most important open questions in machine
learning today. In a recent and thought provoking paper [C. Zhang et al.]
several ... | 0 | 0 | 1 | 1 | 0 | 0 |
Nonparametric Inference for Auto-Encoding Variational Bayes | We would like to learn latent representations that are low-dimensional and
highly interpretable. A model that has these characteristics is the Gaussian
Process Latent Variable Model. The benefits and negative of the GP-LVM are
complementary to the Variational Autoencoder, the former provides interpretable
low-dimensi... | 1 | 0 | 0 | 1 | 0 | 0 |
Imbalanced Malware Images Classification: a CNN based Approach | Deep convolutional neural networks (CNNs) can be applied to malware binary
detection through images classification. The performance, however, is degraded
due to the imbalance of malware families (classes). To mitigate this issue, we
propose a simple yet effective weighted softmax loss which can be employed as
the fin... | 1 | 0 | 0 | 1 | 0 | 0 |
Integrated optical force sensors using focusing photonic crystal arrays | Mechanical oscillators are at the heart of many sensor applications. Recently
several groups have developed oscillators that are probed optically, fabricated
from high-stress silicon nitride films. They exhibit outstanding force
sensitivities of a few aN/Hz$^{1/2}$ and can also be made highly reflective,
for efficien... | 0 | 1 | 0 | 0 | 0 | 0 |
Comparison of Signaling and Media Approaches to Detect VoIP SPIT Attack | IP networks became the most dominant type of information networks nowadays.
It provides a number of services and makes it easy for users to be connected.
IP networks provide an efficient way with a large number of services compared
to other ways of voice communication. This leads to the migration to make voice
calls ... | 1 | 0 | 0 | 0 | 0 | 0 |
Coupling functions: Universal insights into dynamical interaction mechanisms | The dynamical systems found in Nature are rarely isolated. Instead they
interact and influence each other. The coupling functions that connect them
contain detailed information about the functional mechanisms underlying the
interactions and prescribe the physical rule specifying how an interaction
occurs. Here, we ai... | 0 | 1 | 0 | 0 | 0 | 0 |
Uncertainty quantification for radio interferometric imaging: II. MAP estimation | Uncertainty quantification is a critical missing component in radio
interferometric imaging that will only become increasingly important as the
big-data era of radio interferometry emerges. Statistical sampling approaches
to perform Bayesian inference, like Markov Chain Monte Carlo (MCMC) sampling,
can in principle r... | 0 | 1 | 0 | 1 | 0 | 0 |
Semialgebraic Invariant Synthesis for the Kannan-Lipton Orbit Problem | The \emph{Orbit Problem} consists of determining, given a linear
transformation $A$ on $\mathbb{Q}^d$, together with vectors $x$ and $y$,
whether the orbit of $x$ under repeated applications of $A$ can ever reach $y$.
This problem was famously shown to be decidable by Kannan and Lipton in the
1980s.
In this paper, we... | 1 | 0 | 1 | 0 | 0 | 0 |
Design and characterization of the Large-Aperture Experiment to Detect the Dark Age (LEDA) radiometer systems | The Large-Aperture Experiment to Detect the Dark Age (LEDA) was designed to
detect the predicted O(100)mK sky-averaged absorption of the Cosmic Microwave
Background by Hydrogen in the neutral pre- and intergalactic medium just after
the cosmological Dark Age. The spectral signature would be associated with
emergence ... | 0 | 1 | 0 | 0 | 0 | 0 |
Automatic Bayesian Density Analysis | Making sense of a dataset in an automatic and unsupervised fashion is a
challenging problem in statistics and AI. Classical approaches for density
estimation are usually not flexible enough to deal with the uncertainty
inherent to real-world data: they are often restricted to fixed latent
interaction models and homog... | 0 | 0 | 0 | 1 | 0 | 0 |
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service | With the widespread use of machine learning (ML) techniques, ML as a service
has become increasingly popular. In this setting, an ML model resides on a
server and users can query the model with their data via an API. However, if
the user's input is sensitive, sending it to the server is not an option.
Equally, the se... | 0 | 0 | 0 | 1 | 0 | 0 |
Brownian forgery of statistical dependences | The balance held by Brownian motion between temporal regularity and
randomness is embodied in a remarkable way by Levy's forgery of continuous
functions. Here we describe how this property can be extended to forge
arbitrary dependences between two statistical systems, and then establish a new
Brownian independence te... | 0 | 0 | 1 | 1 | 0 | 0 |
Internal sizes in $μ$-abstract elementary classes | Working in the context of $\mu$-abstract elementary classes ($\mu$-AECs) -
or, equivalently, accessible categories with all morphisms monomorphisms - we
examine the two natural notions of size that occur, namely cardinality of
underlying sets and internal size. The latter, purely category-theoretic,
notion generalize... | 0 | 0 | 1 | 0 | 0 | 0 |
Seasonal forecasts of the summer 2016 Yangtze River basin rainfall | The Yangtze River has been subject to heavy flooding throughout history, and
in recent times severe floods such as those in 1998 have resulted in heavy loss
of life and livelihoods. Dams along the river help to manage flood waters, and
are important sources of electricity for the region. Being able to forecast
high-i... | 0 | 1 | 0 | 0 | 0 | 0 |
Modeling Interference Via Symmetric Treatment Decomposition | Classical causal inference assumes a treatment meant for a given unit does
not have an effect on other units. When this "no interference" assumption is
violated, new types of spillover causal effects arise, and causal inference
becomes much more difficult. In addition, interference introduces a unique
complication wh... | 0 | 0 | 0 | 1 | 0 | 0 |
A Bayesian algorithm for distributed network localization using distance and direction data | A reliable, accurate, and affordable positioning service is highly required
in wireless networks. In this paper, the novel Message Passing Hybrid
Localization (MPHL) algorithm is proposed to solve the problem of cooperative
distributed localization using distance and direction estimates. This hybrid
approach combines... | 1 | 0 | 0 | 1 | 0 | 0 |
Bounds for multivariate residues and for the polynomials in the elimination theorem | We present several upper bounds for the height of global residues of rational
forms on an affine variety. As a consequence, we deduce upper bounds for the
height of the coefficients in the Bergman-Weil trace formula.
We also present upper bounds for the degree and the height of the polynomials
in the elimination theo... | 0 | 0 | 1 | 0 | 0 | 0 |
An adsorbed gas estimation model for shale gas reservoirs via statistical learning | Shale gas plays an important role in reducing pollution and adjusting the
structure of world energy. Gas content estimation is particularly significant
in shale gas resource evaluation. There exist various estimation methods, such
as first principle methods and empirical models. However, resource evaluation
presents ... | 0 | 1 | 0 | 1 | 0 | 0 |
A Semantic Loss Function for Deep Learning with Symbolic Knowledge | This paper develops a novel methodology for using symbolic knowledge in deep
learning. From first principles, we derive a semantic loss function that
bridges between neural output vectors and logical constraints. This loss
function captures how close the neural network is to satisfying the constraints
on its output. ... | 1 | 0 | 0 | 1 | 0 | 0 |
Chaotic properties of a turbulent isotropic fluid | By tracking the divergence of two initially close trajectories in phase space
in an Eulerian approach to forced turbulence, the relation between the maximal
Lyapunov exponent $\lambda$, and the Reynolds number $Re$ is measured using
direct numerical simulations, performed on up to $2048^3$ collocation points.
The Lya... | 0 | 1 | 0 | 0 | 0 | 0 |
White light emission from silicon nanoparticles | As one of the most important semiconductors, silicon (Si) has been used to
fabricate electronic devices, waveguides, detectors, and solar cells etc.
However, its indirect bandgap hinders the use of Si for making good emitters1.
For integrated photonic circuits, Si-based emitters with sizes in the range of
100-300 nm ... | 0 | 1 | 0 | 0 | 0 | 0 |
The collapse of ecosystem engineer populations | Humans are the ultimate ecosystem engineers who have profoundly transformed
the world's landscapes in order to enhance their survival. Somewhat
paradoxically, however, sometimes the unforeseen effect of this ecosystem
engineering is the very collapse of the population it intended to protect. Here
we use a spatial ver... | 0 | 1 | 0 | 0 | 0 | 0 |
Highly Viscous Microjet Generator | This paper describes a simple yet novel system for generating a highly
viscous microjet. The jet is produced inside a wettable thin tube partially
submerged in a liquid. The gas-liquid interface inside the tube, which is
initially concave, is kept much deeper than that outside the tube. An impulsive
force applied at ... | 0 | 1 | 0 | 0 | 0 | 0 |
Section problems for configuration spaces of surfaces | In this paper we give a close-to-sharp answer to the basic questions: When is
there a continuous way to add a point to a configuration of $n$ ordered points
on a surface $S$ of finite type so that all the points are still distinct? When
this is possible, what are all the ways to do it? More precisely, let
PConf$_n(S)... | 0 | 0 | 1 | 0 | 0 | 0 |
Odd-triplet superconductivity in single-level quantum dots | We study the interplay of spin and charge coherence in a single-level quantum
dot. A tunnel coupling to a superconducting lead induces superconducting
correlations in the dot. With full spin symmetry retained, only even-singlet
superconducting correlations are generated. An applied magnetic field or
attached ferromag... | 0 | 1 | 0 | 0 | 0 | 0 |
From Neuronal Models to Neuronal Dynamics and Image Processing | This paper is an introduction to the membrane potential equation for neurons.
Its properties are described, as well as sample applications. Networks of these
equations can be used for modeling neuronal systems, which also process images
and video sequences, respectively. Specifically, (i) a dynamic retina is
proposed... | 0 | 0 | 0 | 0 | 1 | 0 |
A compilation of LEGO Technic parts to support learning experiments on linkages | We present a compilation of LEGO Technic parts to provide easy-to-build
constructions of basic planar linkages. Some technical issues and their
possible solutions are discussed. To solve questions on fine details---like
deciding whether the motion is an exactly straight line or not---we refer to
the dynamic mathemati... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Casas-Alvero conjecture | The conjecture is formulated in an affine structure and linked with
dimension=1 of the defined CA sets. Then some known results are proved in this
context. The short intended proof relies on a direct yet unclear statement
about homogeneous dependence of algebraic equations. This might not be a
complete proof or even ... | 0 | 0 | 1 | 0 | 0 | 0 |
Effect of compressibility and aspect ratio on performance of long elastic seals | Recent experiments show no statistical impact of seal length on the
performance of long elastomeric seals in relatively smooth test fixtures.
Motivated by these results, we analytically and computationally investigate the
combined effects of seal length and compressibility on the maximum differential
pressure a seal ... | 0 | 1 | 0 | 0 | 0 | 0 |
Integral models of reductive groups and integral Mumford-Tate groups | Let $G$ be a reductive algebraic group over a $p$-adic field or number field
$K$, and let $V$ be a $K$-linear faithful representation of $G$. A lattice
$\Lambda$ in the vector space $V$ defines a model $\hat{G}_{\Lambda}$ of $G$
over $\mathscr{O}_K$. One may wonder to what extent $\Lambda$ is determined by
the group ... | 0 | 0 | 1 | 0 | 0 | 0 |
A proof of Boca's Theorem | We give a general method of extending unital completely positive maps to
amalgamated free products of C*-algebras. As an application we give a dilation
theoretic proof of Boca's Theorem.
| 0 | 0 | 1 | 0 | 0 | 0 |
Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations | Convolution with Green's function of a differential operator appears in a lot
of applications e.g. Lippmann-Schwinger integral equation. Algorithms for
computing such are usually non-trivial and require non-uniform mesh. However,
recently Vico, Greengard and Ferrando developed method for computing
convolution with sm... | 1 | 0 | 0 | 0 | 0 | 0 |
Mott insulators of hardcore bosons in 1D: many-body orders, entanglement, edge modes | Many-body phenomena were always an integral part of physics comprising of
collective behaviors through self-organization, in systems consisting of many
components and degrees of freedom. We investigate the collective behaviors of
strongly interacting particles confined in one dimension. We show that
many-body orders ... | 0 | 1 | 0 | 0 | 0 | 0 |
Fast Monte Carlo Markov chains for Bayesian shrinkage models with random effects | When performing Bayesian data analysis using a general linear mixed model,
the resulting posterior density is almost always analytically intractable.
However, if proper conditionally conjugate priors are used, there is a simple
two-block Gibbs sampler that is geometrically ergodic in nearly all practical
settings, in... | 0 | 0 | 1 | 1 | 0 | 0 |
Distributed Optimal Vehicle Grid Integration Strategy with User Behavior Prediction | With the increasing of electric vehicle (EV) adoption in recent years, the
impact of EV charging activities to the power grid becomes more and more
significant. In this article, an optimal scheduling algorithm which combines
smart EV charging and V2G gird service is developed to integrate EVs into power
grid as distr... | 1 | 0 | 1 | 0 | 0 | 0 |
Horcrux: A Password Manager for Paranoids | Vulnerabilities in password managers are unremitting because current designs
provide large attack surfaces, both at the client and server. We describe and
evaluate Horcrux, a password manager that is designed holistically to minimize
and decentralize trust, while retaining the usability of a traditional password
mana... | 1 | 0 | 0 | 0 | 0 | 0 |
Cross-validation | This text is a survey on cross-validation. We define all classical
cross-validation procedures, and we study their properties for two different
goals: estimating the risk of a given estimator, and selecting the best
estimator among a given family. For the risk estimation problem, we compute the
bias (which can also b... | 0 | 0 | 1 | 1 | 0 | 0 |
Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees | Objective: Using traditional approaches, a Brain-Computer Interface (BCI)
requires the collection of calibration data for new subjects prior to online
use. Calibration time can be reduced or eliminated e.g.~by transfer of a
pre-trained classifier or unsupervised adaptive classification methods which
learn from scratc... | 1 | 0 | 0 | 1 | 0 | 0 |
Generalized Index Coding Problem and Discrete Polymatroids | The index coding problem has been generalized recently to accommodate
receivers which demand functions of messages and which possess functions of
messages. The connections between index coding and matroid theory have been
well studied in the recent past. Index coding solutions were first connected to
multi linear rep... | 1 | 0 | 1 | 0 | 0 | 0 |
Reconstruction via the intrinsic geometric structures of interior transmission eigenfunctions | We are concerned with the inverse scattering problem of extracting the
geometric structures of an unknown/inaccessible inhomogeneous medium by using
the corresponding acoustic far-field measurement. Using the intrinsic geometric
properties of the so-called interior transmission eigenfunctions, we develop a
novel inve... | 0 | 0 | 1 | 0 | 0 | 0 |
Thermoelectric phase diagram of the SrTiO3-SrNbO3 solid solution system | Thermoelectric energy conversion - the exploitation of the Seebeck effect to
convert waste heat into electricity - has attracted an increasing amount of
research attention for energy harvesting technology. Niobium-doped strontium
titanate (SrTi1-xNbxO3) is one of the most promising thermoelectric material
candidates,... | 0 | 1 | 0 | 0 | 0 | 0 |
AMPA, NMDA and GABAA receptor mediated network burst dynamics in cortical cultures in vitro | In this work we study the excitatory AMPA, and NMDA, and inhibitory GABAA
receptor mediated dynamical changes in neuronal networks of neonatal rat cortex
in vitro. Extracellular network-wide activity was recorded with 59 planar
electrodes simultaneously under different pharmacological conditions. We
analyzed the chan... | 0 | 0 | 0 | 0 | 1 | 0 |
Coarse fundamental groups and box spaces | We use a coarse version of the fundamental group first introduced by Barcelo,
Kramer, Laubenbacher and Weaver to show that box spaces of finitely presented
groups detect the normal subgroups used to construct the box space, up to
isomorphism. As a consequence we have that two finitely presented groups admit
coarsely ... | 0 | 0 | 1 | 0 | 0 | 0 |
Algebraic entropy of (integrable) lattice equations and their reductions | We study the growth of degrees in many autonomous and non-autonomous lattice
equations defined by quad rules with corner boundary values, some of which are
known to be integrable by other characterisations. Subject to an enabling
conjecture, we prove polynomial growth for a large class of equations which
includes the... | 0 | 1 | 0 | 0 | 0 | 0 |
Measurement of mirror birefringence with laser heterodyne polarimetry | A laser heterodyne polarimeter (LHP) designed for the measurement of the
birefringence of dielectric super-mirrors is described and initial results are
reported. The LHP does not require an optical resonator and so promises
unprecedented accuracy in the measurement of the birefringence of individual
mirrors. The work... | 0 | 1 | 0 | 0 | 0 | 0 |
Individual position diversity in dependence socioeconomic networks increases economic output | The availability of big data recorded from massively multiplayer online
role-playing games (MMORPGs) allows us to gain a deeper understanding of the
potential connection between individuals' network positions and their economic
outputs. We use a statistical filtering method to construct dependence networks
from weigh... | 1 | 1 | 0 | 0 | 0 | 0 |
A formula for the nonsymmetric Opdam's hypergeometric function of type $A_2$ | The aim of this paper is to give an explicit formula for the nonsymmetric
Heckman-Opdam's hypergeometric function of type $A_2$. This is obtained by
differentiating the corresponding symmetric hypergeometric function.
| 0 | 0 | 1 | 0 | 0 | 0 |
A new algorithm for irreducible decomposition of representations of finite groups | An algorithm for irreducible decomposition of representations of finite
groups over fields of characteristic zero is described. The algorithm uses the
fact that the decomposition induces a partition of the invariant inner product
into a complete set of mutually orthogonal projectors. By expressing the
projectors thro... | 1 | 0 | 0 | 0 | 0 | 0 |
Stability and Grothendieck | This note is a commentary on the model-theoretic interpretation of
Grothendieck's double limit characterization of weak relative compactness.
| 0 | 0 | 1 | 0 | 0 | 0 |
Visual Analogies between Atari Games for Studying Transfer Learning in RL | In this work, we ask the following question: Can visual analogies, learned in
an unsupervised way, be used in order to transfer knowledge between pairs of
games and even play one game using an agent trained for another game? We
attempt to answer this research question by creating visual analogies between a
pair of ga... | 0 | 0 | 0 | 1 | 0 | 0 |
Learning in the Repeated Secretary Problem | In the classical secretary problem, one attempts to find the maximum of an
unknown and unlearnable distribution through sequential search. In many
real-world searches, however, distributions are not entirely unknown and can be
learned through experience. To investigate learning in such a repeated
secretary problem we... | 1 | 0 | 0 | 0 | 0 | 0 |
Flexible Mixture Modeling on Constrained Spaces | This paper addresses challenges in flexibly modeling multimodal data that lie
on constrained spaces. Applications include climate or crime measurements in a
geographical area, or flow-cytometry experiments, where unsuitable recordings
are discarded. A simple approach to modeling such data is through the use of
mixtur... | 0 | 0 | 0 | 1 | 0 | 0 |
Universal equilibrium scaling functions at short times after a quench | By analyzing spin-spin correlation functions at relatively short distances,
we show that equilibrium near-critical properties can be extracted at short
times after quenches into the vicinity of a quantum critical point. The time
scales after which equilibrium properties can be extracted are sufficiently
short so that... | 0 | 1 | 0 | 0 | 0 | 0 |
First Results from CUORE: A Search for Lepton Number Violation via $0νββ$ Decay of $^{130}$Te | The CUORE experiment, a ton-scale cryogenic bolometer array, recently began
operation at the Laboratori Nazionali del Gran Sasso in Italy. The array
represents a significant advancement in this technology, and in this work we
apply it for the first time to a high-sensitivity search for a
lepton-number--violating proc... | 0 | 1 | 0 | 0 | 0 | 0 |
Bernoulli-Carlitz and Cauchy-Carlitz numbers with Stirling-Carlitz numbers | Recently, the Cauchy-Carlitz number was defined as the counterpart of the
Bernoulli-Carlitz number. Both numbers can be expressed explicitly in terms of
so-called Stirling-Carlitz numbers. In this paper, we study the second analogue
of Stirling-Carlitz numbers and give some general formulae, including Bernoulli
and C... | 0 | 0 | 1 | 0 | 0 | 0 |
Irreducible network backbones: unbiased graph filtering via maximum entropy | Networks provide an informative, yet non-redundant description of complex
systems only if links represent truly dyadic relationships that cannot be
directly traced back to node-specific properties such as size, importance, or
coordinates in some embedding space. In any real-world network, some links may
be reducible,... | 1 | 1 | 0 | 0 | 0 | 0 |
Synkhronos: a Multi-GPU Theano Extension for Data Parallelism | We present Synkhronos, an extension to Theano for multi-GPU computations
leveraging data parallelism. Our framework provides automated execution and
synchronization across devices, allowing users to continue to write serial
programs without risk of race conditions. The NVIDIA Collective Communication
Library is used ... | 1 | 0 | 0 | 0 | 0 | 0 |
The PomXYZ Proteins Self-Organize on the Bacterial Nucleoid to Stimulate Cell Division | Cell division site positioning is precisely regulated to generate correctly
sized and shaped daughters. We uncover a novel strategy to position the FtsZ
cytokinetic ring at midcell in the social bacterium Myxococcus xanthus. PomX,
PomY and the nucleoid-binding ParA/MinD ATPase PomZ self-assemble forming a
large nucle... | 0 | 0 | 0 | 0 | 1 | 0 |
Quantitative Results on Diophantine Equations in Many Variables | We consider a system of polynomials $f_1,\ldots, f_R\in
\mathbb{Z}[x_1,\ldots, x_n]$ of the same degree with non-singular local zeros
and in many variables. Generalising the work of Birch (1962) we find
quantitative asymptotics (in terms of the maximum of the absolute value of the
coefficients of these polynomials) f... | 0 | 0 | 1 | 0 | 0 | 0 |
Generalized Springer correspondence for symmetric spaces associated to orthogonal groups | Let $G = GL_N$ over an algebraically closed field of odd characteristic, and
$\theta$ an involutive automorphism on $G$ such that $H = (G^{\theta})^0$ is
isomorphic to $SO_N$. Then $G^{\iota\theta} = \{ g \in G \mid \theta(g) =
g^{-1} \}$ is regarded as a symmetric space $G/G^{\theta}$. Let
$G^{\iota\theta}_{uni}$ be... | 0 | 0 | 1 | 0 | 0 | 0 |
An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit | Our work focuses on the problem of predicting the transfer of pediatric
patients from the general ward of a hospital to the pediatric intensive care
unit. Using data collected over 5.5 years from the electronic health records of
two medical facilities, we develop classifiers based on adaptive boosting and
gradient tr... | 1 | 0 | 0 | 1 | 0 | 0 |
Effects of Network Structure on the Performance of a Modeled Traffic Network under Drivers' Bounded Rationality | We propose a minority route choice game to investigate the effect of the
network structure on traffic network performance under the assumption of
drivers' bounded rationality. We investigate ring-and-hub topologies to capture
the nature of traffic networks in cities, and employ a minority game-based
inductive learnin... | 1 | 1 | 0 | 0 | 0 | 0 |
Sneak into Devil's Colony- A study of Fake Profiles in Online Social Networks and the Cyber Law | Massive content about user's social, personal and professional life stored on
Online Social Networks (OSNs) has attracted not only the attention of
researchers and social analysts but also the cyber criminals. These cyber
criminals penetrate illegally into an OSN by establishing fake profiles or by
designing bots and... | 1 | 0 | 0 | 0 | 0 | 0 |
Preserving Data-Privacy with Added Noises: Optimal Estimation and Privacy Analysis | Networked system often relies on distributed algorithms to achieve a global
computation goal with iterative local information exchanges between neighbor
nodes. To preserve data privacy, a node may add a random noise to its original
data for information exchange at each iteration. Nevertheless, a neighbor node
can est... | 1 | 0 | 0 | 0 | 0 | 0 |
Geometric tuning of self-propulsion for Janus catalytic particles | Catalytic swimmers have attracted much attention as alternatives to
biological systems for examining collective microscopic dynamics and the
response to physico-chemical signals. Yet, understanding and predicting even
the most fundamental characteristics of their individual propulsion still
raises important challenge... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Bogolubov-de Gennes Equations | We consider the Bogolubov-de Gennes equations giving an equivalent
formulation of the BCS theory of superconductivity. We are interested in the
case when the magnetic field is present. We (a) discuss their general features,
(b) isolate key physical classes of solutions (normal, vortex and vortex
lattice states) and (... | 0 | 0 | 1 | 0 | 0 | 0 |
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking | Penalized likelihood methods are widely used for high-dimensional regression.
Although many methods have been proposed and the associated theory is now
well-developed, the relative efficacy of different methods in finite-sample
settings, as encountered in practice, remains incompletely understood. There is
therefore ... | 0 | 0 | 0 | 1 | 0 | 0 |
Using Human Brain Activity to Guide Machine Learning | Machine learning is a field of computer science that builds algorithms that
learn. In many cases, machine learning algorithms are used to recreate a human
ability like adding a caption to a photo, driving a car, or playing a game.
While the human brain has long served as a source of inspiration for machine
learning, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning | We use a deep learning model trained only on a patient's blood oxygenation
data (measurable with an inexpensive fingertip sensor) to predict impending
hypoxemia (low blood oxygen) more accurately than trained anesthesiologists
with access to all the data recorded in a modern operating room. We also
provide a simple w... | 1 | 0 | 0 | 1 | 0 | 0 |
Merging fragments of classical logic | We investigate the possibility of extending the non-functionally complete
logic of a collection of Boolean connectives by the addition of further Boolean
connectives that make the resulting set of connectives functionally complete.
More precisely, we will be interested in checking whether an axiomatization for
Classi... | 1 | 0 | 1 | 0 | 0 | 0 |
Variational Bayes Estimation of Discrete-Margined Copula Models with Application to Time Series | We propose a new variational Bayes estimator for high-dimensional copulas
with discrete, or a combination of discrete and continuous, margins. The method
is based on a variational approximation to a tractable augmented posterior, and
is faster than previous likelihood-based approaches. We use it to estimate
drawable ... | 0 | 0 | 0 | 1 | 0 | 0 |
COSMO: Contextualized Scene Modeling with Boltzmann Machines | Scene modeling is very crucial for robots that need to perceive, reason about
and manipulate the objects in their environments. In this paper, we adapt and
extend Boltzmann Machines (BMs) for contextualized scene modeling. Although
there are many models on the subject, ours is the first to bring together
objects, rel... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Large-Scale Topological Maps Using Sum-Product Networks | In order to perform complex actions in human environments, an autonomous
robot needs the ability to understand the environment, that is, to gather and
maintain spatial knowledge. Topological map is commonly used for representing
large scale, global maps such as floor plans. Although much work has been done
in topolog... | 1 | 0 | 0 | 0 | 0 | 0 |
Entanglement scaling and spatial correlations of the transverse field Ising model with perturbations | We study numerically the entanglement entropy and spatial correlations of the
one dimensional transverse field Ising model with three different
perturbations. First, we focus on the out of equilibrium, steady state with an
energy current passing through the system. By employing a variety of
matrix-product state based... | 0 | 1 | 0 | 0 | 0 | 0 |
Anyonic excitations of hardcore anyons | Strongly interacting many-body systems consisting of fermions or bosons can
host exotic quasiparticles with anyonic statistics. Here, we demonstrate that
many-body systems of anyons can also form anyonic quasi-particles. The charge
and statistics of the emergent anyons can be different from those of the
original anyo... | 0 | 1 | 0 | 0 | 0 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.