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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Teaching the Doppler Effect in Astrophysics | The Doppler effect is a shift in the frequency of waves emitted from an
object moving relative to the observer. By observing and analysing the Doppler
shift in electromagnetic waves from astronomical objects, astronomers gain
greater insight into the structure and operation of our universe. In this
paper, a simple te... | 0 | 1 | 0 | 0 | 0 | 0 |
Embedding Tarskian Semantics in Vector Spaces | We propose a new linear algebraic approach to the computation of Tarskian
semantics in logic. We embed a finite model M in first-order logic with N
entities in N-dimensional Euclidean space R^N by mapping entities of M to N
dimensional one-hot vectors and k-ary relations to order-k adjacency tensors
(multi-way arrays... | 1 | 0 | 0 | 0 | 0 | 0 |
Constraints from Dust Mass and Mass Accretion Rate Measurements on Angular Momentum Transport in Protoplanetary Disks | We investigate the relation between disk mass and mass accretion rate to
constrain the mechanism of angular momentum transport in protoplanetary disks.
Dust mass and mass accretion rate in Chamaeleon I are correlated with a slope
close to linear, similar to the one recently identified in Lupus. We
investigate the eff... | 0 | 1 | 0 | 0 | 0 | 0 |
Character-Word LSTM Language Models | We present a Character-Word Long Short-Term Memory Language Model which both
reduces the perplexity with respect to a baseline word-level language model and
reduces the number of parameters of the model. Character information can reveal
structural (dis)similarities between words and can even be used when a word is
ou... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution | Machine learning methods have found many applications in Raman spectroscopy,
especially for the identification of chemical species. However, almost all of
these methods require non-trivial preprocessing such as baseline correction
and/or PCA as an essential step. Here we describe our unified solution for the
identifi... | 1 | 0 | 0 | 1 | 0 | 0 |
Suppression of material transfer at contacting surfaces: The effect of adsorbates on Al/TiN and Cu/diamond interfaces from first-principles calculations | The effect of monolayers of oxygen (O) and hydrogen (H) on the possibility of
material transfer at aluminium/titanium nitride (Al/TiN) and copper/diamond
(Cu/C$_{\text{dia}}$) interfaces, respectively, were investigated within the
framework of density functional theory (DFT). To this end the approach,
contact, and su... | 0 | 1 | 0 | 0 | 0 | 0 |
Fine-grained ECG Classification Based on Deep CNN and Online Decision Fusion | Early recognition of abnormal rhythm in ECG signals is crucial for monitoring
or diagnosing patients' cardiac conditions and increasing the success rate of
the treatment. Classifying abnormal rhythms into fine-grained categories is
very challenging due to the the broad taxonomy of rhythms, noises and lack of
real-wor... | 1 | 0 | 0 | 1 | 0 | 0 |
A Wavenet for Speech Denoising | Currently, most speech processing techniques use magnitude spectrograms as
front-end and are therefore by default discarding part of the signal: the
phase. In order to overcome this limitation, we propose an end-to-end learning
method for speech denoising based on Wavenet. The proposed model adaptation
retains Wavene... | 1 | 0 | 0 | 0 | 0 | 0 |
Warped Product Space-times | Many classical results in relativity theory concerning spherically symmetric
space-times have easy generalizations to warped product space-times, with a
two-dimensional Lorentzian base and arbitrary dimensional Riemannian fibers. We
first give a systematic presentation of the main geometric constructions, with
emphas... | 0 | 0 | 1 | 0 | 0 | 0 |
ALMA Observations of the Young Substellar Binary System 2M1207 | We present ALMA observations of the 2M1207 system, a young binary made of a
brown dwarf with a planetary-mass companion at a projected separation of about
40 au. We detect emission from dust continuum at 0.89 mm and from the $J = 3 -
2$ rotational transition of CO from a very compact disk around the young brown
dwarf... | 0 | 1 | 0 | 0 | 0 | 0 |
Multichannel Linear Prediction for Blind Reverberant Audio Source Separation | A class of methods based on multichannel linear prediction (MCLP) can achieve
effective blind dereverberation of a source, when the source is observed with a
microphone array. We propose an inventive use of MCLP as a pre-processing step
for blind source separation with a microphone array. We show theoretically
that, ... | 1 | 0 | 0 | 0 | 0 | 0 |
SepNE: Bringing Separability to Network Embedding | Many successful methods have been proposed for learning low dimensional
representations on large-scale networks, while almost all existing methods are
designed in inseparable processes, learning embeddings for entire networks even
when only a small proportion of nodes are of interest. This leads to great
inconvenienc... | 1 | 0 | 0 | 0 | 0 | 0 |
Opinion formation in a locally interacting community with recommender | We present a user of model interaction based on the physics of kinetic
exchange, and extend it to individuals placed in a grid with local interaction.
We show with numerical analysis and partial analytical results that the
critical symmetry breaking transitions and percolation effects typical of the
full interaction ... | 1 | 1 | 0 | 0 | 0 | 0 |
Integral representation of shallow neural network that attains the global minimum | We consider the supervised learning problem with shallow neural networks.
According to our unpublished experiments conducted several years prior to this
study, we had noticed an interesting similarity between the distribution of
hidden parameters after backprobagation (BP) training, and the ridgelet
spectrum of the s... | 0 | 0 | 0 | 1 | 0 | 0 |
DoKnowMe: Towards a Domain Knowledge-driven Methodology for Performance Evaluation | Software engineering considers performance evaluation to be one of the key
portions of software quality assurance. Unfortunately, there seems to be a lack
of standard methodologies for performance evaluation even in the scope of
experimental computer science. Inspired by the concept of "instantiation" in
object-orien... | 1 | 0 | 0 | 0 | 0 | 0 |
The Effect of Different Wavelengths on Porous Silicon Formation Process | Porous silicon layers (PS) have been prepared in this work via
Photoelectrochemical etching process (PEC) of n type silicon wafer of 0.8
ohm.cm resistivity in hydrofluoric (HF) acid of 24.5 precent concentration at
different etching times (5 to 25 min.). The irradiation has been achieved using
Tungsten lamp with dif... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological dimension tunes activity patterns in hierarchical modular network models | Connectivity patterns of relevance in neuroscience and systems biology can be
encoded in hierarchical modular networks (HMNs). Moreover, recent studies
highlight the role of hierarchical modular organization in shaping brain
activity patterns, providing an excellent substrate to promote both the
segregation and integ... | 0 | 1 | 0 | 0 | 0 | 0 |
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition | Deep Convolutional Neural Networks (DCNNs) are currently popular in human
activity recognition applications. However, in the face of modern artificial
intelligence sensor-based games, many research achievements cannot be
practically applied on portable devices. DCNNs are typically resource-intensive
and too large to ... | 0 | 0 | 0 | 1 | 0 | 0 |
Generalized stealthy hyperuniform processes : maximal rigidity and the bounded holes conjecture | We study translation invariant stochastic processes on $\mathbb{R}^d$ or
$\mathbb{Z}^d$ whose diffraction spectrum or structure function $S(k)$, i.e.
the Fourier transform of the truncated total pair correlation function,
vanishes on an open set $U$ in the wave space. A key family of such processes
are stealthy hyper... | 0 | 1 | 0 | 0 | 0 | 0 |
High-frequency approximation of the interior dirichlet-to-neumann map and applications to the transmission eigenvalues | We study the high-frequency behavior of the Dirichlet-to-Neumann map for an
arbitrary compact Riemannian manifold with a non-empty smooth boundary. We show
that far from the real axis it can be approximated by a simpler operator. We
use this fact to get new results concerning the location of the transmission
eigenval... | 0 | 0 | 1 | 0 | 0 | 0 |
Conformal scalar curvature equation on S^n: functions with two close critical points (twin pseudo-peaks) | By using the Lyapunov-Schmidt reduction method without perturbation, we
consider existence results for the conformal scalar curvature on S^n (n greater
or equal to 3) when the prescribed function (after being projected to R^n) has
two close critical points, which have the same value (positive), equal
"flatness" (twin... | 0 | 0 | 1 | 0 | 0 | 0 |
Equivalence between non-Markovian and Markovian dynamics in epidemic spreading processes | A general formalism is introduced to allow the steady state of non-Markovian
processes on networks to be reduced to equivalent Markovian processes on the
same substrates. The example of an epidemic spreading process is considered in
detail, where all the non-Markovian aspects are shown to be captured within a
single ... | 0 | 1 | 0 | 0 | 0 | 0 |
Attacking Binarized Neural Networks | Neural networks with low-precision weights and activations offer compelling
efficiency advantages over their full-precision equivalents. The two most
frequently discussed benefits of quantization are reduced memory consumption,
and a faster forward pass when implemented with efficient bitwise operations.
We propose a... | 1 | 0 | 0 | 1 | 0 | 0 |
On Treewidth and Stable Marriage | Stable Marriage is a fundamental problem to both computer science and
economics. Four well-known NP-hard optimization versions of this problem are
the Sex-Equal Stable Marriage (SESM), Balanced Stable Marriage (BSM),
max-Stable Marriage with Ties (max-SMT) and min-Stable Marriage with Ties
(min-SMT) problems. In this... | 1 | 0 | 0 | 0 | 0 | 0 |
A Holistic Approach to Forecasting Wholesale Energy Market Prices | Electricity market price predictions enable energy market participants to
shape their consumption or supply while meeting their economic and
environmental objectives. By utilizing the basic properties of the
supply-demand matching process performed by grid operators, we develop a method
to recover energy market's str... | 1 | 0 | 0 | 1 | 0 | 0 |
Matched bipartite block model with covariates | Community detection or clustering is a fundamental task in the analysis of
network data. Many real networks have a bipartite structure which makes
community detection challenging. In this paper, we consider a model which
allows for matched communities in the bipartite setting, in addition to node
covariates with info... | 1 | 0 | 0 | 1 | 0 | 0 |
Topological Interference Management with Decoded Message Passing | The topological interference management (TIM) problem studies
partially-connected interference networks with no channel state information
except for the network topology (i.e., connectivity graph) at the transmitters.
In this paper, we consider a similar problem in the uplink cellular networks,
while message passing ... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust Regression via Mutivariate Regression Depth | This paper studies robust regression in the settings of Huber's
$\epsilon$-contamination models. We consider estimators that are maximizers of
multivariate regression depth functions. These estimators are shown to achieve
minimax rates in the settings of $\epsilon$-contamination models for various
regression problems... | 0 | 0 | 1 | 1 | 0 | 0 |
Quotients of Buildings as $W$-Groupoids | We introduce structures which model the quotients of buildings by
type-preserving group actions. These structures, which we call W-groupoids,
generalize Bruhat decompositions, chambers systems of type M, and Tits
amalgams. We define the fundamental group of a W-groupoid, and characterize
buildings as connected simply... | 0 | 0 | 1 | 0 | 0 | 0 |
Birth of the GUP and its effect on the entropy of the Universe in Lie-$N$-algebra | In this paper, the origin of the generalized uncertainty principle (GUP) in
an $M$-dimensional theory with Lie-$N$-algebra is considered. This theory which
we name GLNA(Generalized Lie-$N$-Algebra)-theory can be reduced to $M$-theory
with $M=11$ and $N=3$. In this theory, at the beginning, two energies with
positive ... | 0 | 1 | 0 | 0 | 0 | 0 |
Data-adaptive smoothing for optimal-rate estimation of possibly non-regular parameters | We consider nonparametric inference of finite dimensional, potentially
non-pathwise differentiable target parameters. In a nonparametric model, some
examples of such parameters that are always non pathwise differentiable target
parameters include probability density functions at a point, or regression
functions at a ... | 0 | 0 | 1 | 1 | 0 | 0 |
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach | Knowledge base completion (KBC) aims to predict missing information in a
knowledge base.In this paper, we address the out-of-knowledge-base (OOKB)
entity problem in KBC:how to answer queries concerning test entities not
observed at training time. Existing embedding-based KBC models assume that all
test entities are a... | 1 | 0 | 0 | 0 | 0 | 0 |
Feature Engineering for Predictive Modeling using Reinforcement Learning | Feature engineering is a crucial step in the process of predictive modeling.
It involves the transformation of given feature space, typically using
mathematical functions, with the objective of reducing the modeling error for a
given target. However, there is no well-defined basis for performing effective
feature eng... | 1 | 0 | 0 | 1 | 0 | 0 |
Cellular automata connections | It is shown that any two cellular automata (CA) in rule space can be
connected by a continuous path parameterized by a real number $\kappa \in (0,
\infty)$, each point in the path corresponding to a coupled map lattice (CML).
In the limits $\kappa \to 0$ and $\kappa \to \infty$ the CML becomes each of
the two CA ente... | 0 | 1 | 1 | 0 | 0 | 0 |
Hypothesis Testing via Euclidean Separation | We discuss an "operational" approach to testing convex composite hypotheses
when the underlying distributions are heavy-tailed. It relies upon Euclidean
separation of convex sets and can be seen as an extension of the approach to
testing by convex optimization developed in [8, 12]. In particular, we show how
one can ... | 0 | 0 | 1 | 1 | 0 | 0 |
Detecting in-plane tension induced crystal plasticity transition with nanoindentation | We present experimental data and simulations on the effects of in-plane
tension on nanoindentation hardness and pop-in noise. Nanoindentation
experiments using a Berkovich tip are performed on bulk polycrystaline Al
samples, under tension in a custom 4pt-bending fixture. The hardness displays a
transition, for indent... | 0 | 1 | 0 | 0 | 0 | 0 |
A novel approach for fast mining frequent itemsets use N-list structure based on MapReduce | Frequent Pattern Mining is a one field of the most significant topics in data
mining. In recent years, many algorithms have been proposed for mining frequent
itemsets. A new algorithm has been presented for mining frequent itemsets based
on N-list data structure called Prepost algorithm. The Prepost algorithm is
enha... | 1 | 0 | 0 | 0 | 0 | 0 |
Resonant thermalization of periodically driven strongly correlated electrons | We study the dynamics of the Fermi-Hubbard model driven by a time-periodic
modulation of the interaction within nonequilibrium Dynamical Mean-Field
Theory. For moderate interaction, we find clear evidence of thermalization to a
genuine infinite-temperature state with no residual oscillations. Quite
differently, in th... | 0 | 1 | 0 | 0 | 0 | 0 |
Fusible HSTs and the randomized k-server conjecture | We exhibit an $O((\log k)^6)$-competitive randomized algorithm for the
$k$-server problem on any metric space. It is shown that a potential-based
algorithm for the fractional $k$-server problem on hierarchically separated
trees (HSTs) with competitive ratio $f(k)$ can be used to obtain a randomized
algorithm for any ... | 1 | 0 | 1 | 0 | 0 | 0 |
BPS spectra and 3-manifold invariants | We provide a physical definition of new homological invariants $\mathcal{H}_a
(M_3)$ of 3-manifolds (possibly, with knots) labeled by abelian flat
connections. The physical system in question involves a 6d fivebrane theory on
$M_3$ times a 2-disk, $D^2$, whose Hilbert space of BPS states plays the role
of a basic bui... | 0 | 0 | 1 | 0 | 0 | 0 |
Nonzero positive solutions of a multi-parameter elliptic system with functional BCs | We prove, by topological methods, new results on the existence of nonzero
positive weak solutions for a class of multi-parameter second order elliptic
systems subject to functional boundary conditions. The setting is fairly
general and covers the case of multi-point, integral and nonlinear boundary
conditions. We als... | 0 | 0 | 1 | 0 | 0 | 0 |
Emotion Recognition from Speech based on Relevant Feature and Majority Voting | This paper proposes an approach to detect emotion from human speech employing
majority voting technique over several machine learning techniques. The
contribution of this work is in two folds: firstly it selects those features of
speech which is most promising for classification and secondly it uses the
majority voti... | 1 | 0 | 0 | 1 | 0 | 0 |
The basic principles and the structure and algorithmically software of computing by hypercomplex number | In article the basic principles put in a basis of algorithmicallysoftware of
hypercomplex number calculations, structure of a software, structure of
functional subsystems are considered. The most important procedures included in
subsystems are considered, program listings and examples of their application
are given.
| 1 | 0 | 0 | 0 | 0 | 0 |
Drawing cone spherical metrics via Strebel differentials | Cone spherical metrics are conformal metrics with constant curvature one and
finitely many conical singularities on compact Riemann surfaces. By using
Strebel differentials as a bridge, we construct a new class of cone spherical
metrics on compact Riemann surfaces by drawing on the surfaces some class of
connected me... | 0 | 0 | 1 | 0 | 0 | 0 |
Thermoelectric radiation detector based on superconductor/ferromagnet systems | We suggest a new type of an ultrasensitive detector of electromagnetic fields
exploiting the giant thermoelectric effect recently found in
superconductor/ferromagnet hybrid structures. Compared to other types of
superconducting detectors where the detected signal is based on variations of
the detector impedance, the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Upper estimates of Christoffel function on convex domains | New upper bounds on the pointwise behaviour of Christoffel function on convex
domains in ${\mathbb{R}}^d$ are obtained. These estimates are established by
explicitly constructing the corresponding "needle"-like algebraic polynomials
having small integral norm on the domain, and are stated in terms of few
easy-to-meas... | 0 | 0 | 1 | 0 | 0 | 0 |
Special Lagrangian and deformed Hermitian Yang-Mills on tropical manifold | From string theory, the notion of deformed Hermitian Yang-Mills connections
has been introduced by Mariño, Minasian, Moore and Strominger. After that,
Leung, Yau and Zaslow proved that it naturally appears as mirror objects of
special Lagrangian submanifolds via Fourier-Mukai transform between dual torus
fibrations. ... | 0 | 0 | 1 | 0 | 0 | 0 |
An introduction to the qualitative and quantitative theory of homogenization | We present an introduction to periodic and stochastic homogenization of
ellip- tic partial differential equations. The first part is concerned with the
qualitative theory, which we present for equations with periodic and random
coefficients in a unified approach based on Tartar's method of oscillating test
functions.... | 0 | 0 | 1 | 0 | 0 | 0 |
A Computational Study of Yttria-Stabilized Zirconia: I. Using Crystal Chemistry to Search for the Ground State on a Glassy Energy Landscape | Yttria-stabilized zirconia (YSZ), a ZrO2-Y2O3 solid solution that contains a
large population of oxygen vacancies, is widely used in energy and industrial
applications. Past computational studies correctly predicted the anion
diffusivity but not the cation diffusivity, which is important for material
processing and s... | 0 | 1 | 0 | 0 | 0 | 0 |
Reactive Power Compensation Game under Prospect-Theoretic Framing Effects | Reactive power compensation is an important challenge in current and future
smart power systems. However, in the context of reactive power compensation,
most existing studies assume that customers can assess their compensation
value, i.e., Var unit, objectively. In this paper, customers are assumed to
make decisions ... | 1 | 0 | 0 | 0 | 0 | 0 |
Some remarks on protolocalizations and protoadditive reflections | We investigate additional properties of protolocalizations, introduced and
studied by F. Borceux, M. M. Clementino, M. Gran, and L. Sousa, and of
protoadditive reflections, introduced and studied by T. Everaert and M. Gran.
Among other things we show that there are no non-trivial (protolocalizations
and) protoadditiv... | 0 | 0 | 1 | 0 | 0 | 0 |
Resonances near Thresholds in slightly Twisted Waveguides | We consider the Dirichlet Laplacian in a straight three dimensional waveguide
with non-rotationally invariant cross section, perturbed by a twisting of small
amplitude. It is well known that such a perturbation does not create
eigenvalues below the essential spectrum. However, around the bottom of the
spectrum, we pr... | 0 | 0 | 1 | 0 | 0 | 0 |
Trapping and displacement of liquid collars and plugs in rough-walled tubes | A liquid film wetting the interior of a long circular cylinder redistributes
under the action of surface tension to form annular collars or occlusive plugs.
These equilibrium structures are invariant under axial translation within a
perfectly smooth uniform tube and therefore can be displaced axially by very
weak ext... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological Brain Network Distances | Existing brain network distances are often based on matrix norms. The
element-wise differences in the existing matrix norms may fail to capture
underlying topological differences. Further, matrix norms are sensitive to
outliers. A major disadvantage to element-wise distance calculations is that it
could be severely a... | 0 | 0 | 0 | 0 | 1 | 0 |
The challenge of decentralized marketplaces | Online trust systems are playing an important role in to-days world and face
various challenges in building them. Billions of dollars of products and
services are traded through electronic commerce, files are shared among large
peer-to-peer networks and smart contracts can potentially replace paper
contracts with dig... | 1 | 0 | 0 | 0 | 0 | 0 |
Radially resolved simulations of collapsing pebble clouds in protoplanetary discs | We study the collapse of pebble clouds with a statistical model to find the
internal structure of comet-sized planetesimals. Pebble-pebble collisions occur
during the collapse and the outcome of these collisions affect the resulting
structure of the planetesimal. We expand our previous models by allowing the
individu... | 0 | 1 | 0 | 0 | 0 | 0 |
Accelerating equilibrium isotope effect calculations: I. Stochastic thermodynamic integration with respect to mass | Accurate path integral Monte Carlo or molecular dynamics calculations of
isotope effects have until recently been expensive because of the necessity to
reduce three types of errors present in such calculations: statistical errors
due to sampling, path integral discretization errors, and thermodynamic
integration erro... | 0 | 1 | 0 | 0 | 0 | 0 |
CoAP over ICN | The Constrained Application Protocol (CoAP) is a specialized Web transfer
protocol for resource-oriented applications intended to run on constrained
devices, typically part of the Internet of Things. In this paper we leverage
Information-Centric Networking (ICN), deployed within the domain of a network
provider that ... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonequilibrium mode-coupling theory for dense active systems of self-propelled particles | The physics of active systems of self-propelled particles, in the regime of a
dense liquid state, is an open puzzle of great current interest, both for
statistical physics and because such systems appear in many biological
contexts. We develop a nonequilibrium mode-coupling theory (MCT) for such
systems, where activi... | 0 | 1 | 0 | 0 | 0 | 0 |
Symmetry Protected Dynamical Symmetry in the Generalized Hubbard Models | In this letter we present a theorem on the dynamics of the generalized
Hubbard models. This theorem shows that the symmetry of the single particle
Hamiltonian can protect a kind of dynamical symmetry driven by the
interactions. Here the dynamical symmetry refers to that the time evolution of
certain observables are s... | 0 | 1 | 0 | 0 | 0 | 0 |
Machine-learning a virus assembly fitness landscape | Realistic evolutionary fitness landscapes are notoriously difficult to
construct. A recent cutting-edge model of virus assembly consists of a
dodecahedral capsid with $12$ corresponding packaging signals in three affinity
bands. This whole genome/phenotype space consisting of $3^{12}$ genomes has
been explored via co... | 0 | 0 | 0 | 0 | 1 | 0 |
A multilevel block building algorithm for fast modeling generalized separable systems | Data-driven modeling plays an increasingly important role in different areas
of engineering. For most of existing methods, such as genetic programming (GP),
the convergence speed might be too slow for large scale problems with a large
number of variables. It has become the bottleneck of GP for practical
applications.... | 0 | 0 | 1 | 0 | 0 | 0 |
Competition and Selection Among Conventions | In many domains, a latent competition among different conventions determines
which one will come to dominate. One sees such effects in the success of
community jargon, of competing frames in political rhetoric, or of terminology
in technical contexts. These effects have become widespread in the online
domain, where t... | 1 | 1 | 0 | 0 | 0 | 0 |
Tradeoff Between Delay and High SNR Capacity in Quantized MIMO Systems | Analog-to-digital converters (ADCs) are a major contributor to the power
consumption of multiple-input multiple-output (MIMO) communication systems with
large number of antennas. Use of low resolution ADCs has been proposed as a
means to decrease power consumption in MIMO receivers. However, reducing the
ADC resoluti... | 1 | 0 | 0 | 0 | 0 | 0 |
Formal Synthesis of Control Strategies for Positive Monotone Systems | We design controllers from formal specifications for positive discrete-time
monotone systems that are subject to bounded disturbances. Such systems are
widely used to model the dynamics of transportation and biological networks.
The specifications are described using signal temporal logic (STL), which can
express a b... | 1 | 0 | 1 | 0 | 0 | 0 |
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks | Progress in deep learning is slowed by the days or weeks it takes to train
large models. The natural solution of using more hardware is limited by
diminishing returns, and leads to inefficient use of additional resources. In
this paper, we present a large batch, stochastic optimization algorithm that is
both faster t... | 1 | 0 | 0 | 1 | 0 | 0 |
Signal propagation in sensing and reciprocating cellular systems with spatial and structural heterogeneity | Sensing and reciprocating cellular systems (SARs) are important for the
operation of many biological systems. Production in interferon (IFN) SARs is
achieved through activation of the Jak-Stat pathway, and downstream
upregulation of IFN regulatory factor (IRF)-3 and IFN transcription, but the
role that high and low a... | 0 | 0 | 0 | 0 | 1 | 0 |
A New Family of Asymmetric Distributions for Modeling Light-Tailed and Right-Skewed Data | A new three-parameter cumulative distribution function defined on
$(\alpha,\infty)$, for some $\alpha\geq0$, with asymmetric probability density
function and showing exponential decays at its both tails, is introduced. The
new distribution is near to familiar distributions like the gamma and
log-normal distributions,... | 0 | 0 | 1 | 1 | 0 | 0 |
Secret-Key-Aided Scheme for Securing Untrusted DF Relaying Networks | This paper proposes a new scheme to secure the transmissions in an untrusted
decode-and-forward (DF) relaying network. A legitimate source node, Alice,
sends her data to a legitimate destination node, Bob, with the aid of an
untrusted DF relay node, Charlie. To secure the transmissions from Charlie
during relaying ti... | 1 | 0 | 0 | 0 | 0 | 0 |
On deep speaker embeddings for text-independent speaker recognition | We investigate deep neural network performance in the textindependent speaker
recognition task. We demonstrate that using angular softmax activation at the
last classification layer of a classification neural network instead of a
simple softmax activation allows to train a more generalized discriminative
speaker embe... | 0 | 0 | 0 | 1 | 0 | 0 |
Accurate Computation of Marginal Data Densities Using Variational Bayes | Bayesian model selection and model averaging rely on estimates of marginal
data densities (MDDs) also known as marginal likelihoods. Estimation of MDDs is
often nontrivial and requires elaborate numerical integration methods. We
propose using the variational Bayes posterior density as a weighting density
within the c... | 0 | 0 | 0 | 1 | 0 | 0 |
Random matrices and the New York City subway system | We analyze subway arrival times in the New York City subway system. We find
regimes where the gaps between trains exhibit both (unitarily invariant) random
matrix statistics and Poisson statistics. The departure from random matrix
statistics is captured by the value of the Coulomb potential along the subway
route. Th... | 0 | 1 | 0 | 0 | 0 | 0 |
Weakening of the diamagnetic shielding in FeSe$_{1-x}$S$_x$ at high pressures | The superconducting transition of FeSe$_{1-x}$S$_x$ with three distinct
sulphur concentrations $x$ was studied under hydrostatic pressure up to
$\sim$70 kbar via bulk AC susceptibility. The pressure dependence of the
superconducting transition temperature ($T_c$) features a small dome-shaped
variation at low pressure... | 0 | 1 | 0 | 0 | 0 | 0 |
Incremental Skip-gram Model with Negative Sampling | This paper explores an incremental training strategy for the skip-gram model
with negative sampling (SGNS) from both empirical and theoretical perspectives.
Existing methods of neural word embeddings, including SGNS, are multi-pass
algorithms and thus cannot perform incremental model update. To address this
problem, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Continuous-Time Accelerated Methods via a Hybrid Control Lens | Treating optimization methods as dynamical systems can be traced back
centuries ago in order to comprehend the notions and behaviors of optimization
methods. Lately, this mind set has become the driving force to design new
optimization methods. Inspired by the recent dynamical system viewpoint of
Nesterov's fast meth... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast-Slow Recurrent Neural Networks | Processing sequential data of variable length is a major challenge in a wide
range of applications, such as speech recognition, language modeling,
generative image modeling and machine translation. Here, we address this
challenge by proposing a novel recurrent neural network (RNN) architecture, the
Fast-Slow RNN (FS-... | 1 | 0 | 0 | 0 | 0 | 0 |
On OR Many-Access Channels | OR multi-access channel is a simple model where the channel output is the
Boolean OR among the Boolean channel inputs. We revisit this model, showing
that employing Bloom filter, a randomized data structure, as channel inputs
achieves its capacity region with joint decoding and the symmetric sum rate of
$\ln 2$ bits ... | 1 | 0 | 1 | 0 | 0 | 0 |
TwiInsight: Discovering Topics and Sentiments from Social Media Datasets | Social media platforms contain a great wealth of information which provides
opportunities for us to explore hidden patterns or unknown correlations, and
understand people's satisfaction with what they are discussing. As one
showcase, in this paper, we present a system, TwiInsight which explores the
insight of Twitter... | 1 | 0 | 0 | 0 | 0 | 0 |
The Promise and Peril of Human Evaluation for Model Interpretability | Transparency, user trust, and human comprehension are popular ethical
motivations for interpretable machine learning. In support of these goals,
researchers evaluate model explanation performance using humans and real world
applications. This alone presents a challenge in many areas of artificial
intelligence. In thi... | 1 | 0 | 0 | 1 | 0 | 0 |
Guided Unfoldings for Finding Loops in Standard Term Rewriting | In this paper, we reconsider the unfolding-based technique that we have
introduced previously for detecting loops in standard term rewriting. We
improve it by guiding the unfolding process, using distinguished positions in
the rewrite rules. This results in a depth-first computation of the unfoldings,
whereas the ori... | 1 | 0 | 0 | 0 | 0 | 0 |
Nutrients and biomass dynamics in photo-sequencing batch reactors treating wastewater with high nutrients loadings | The present study investigates different strategies for the treatment of a
mixture of digestate from an anaerobic digester diluted and secondary effluent
from a high rate algal pond. To this aim, the performance of two
photo-sequencing batch reactors (PSBRs) operated at high nutrients loading
rates and different soli... | 0 | 0 | 0 | 0 | 1 | 0 |
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees | Random Fourier features is one of the most popular techniques for scaling up
kernel methods, such as kernel ridge regression. However, despite impressive
empirical results, the statistical properties of random Fourier features are
still not well understood. In this paper we take steps toward filling this gap.
Specifi... | 1 | 0 | 0 | 1 | 0 | 0 |
Charge reconstruction study of the DAMPE Silicon-Tungsten Tracker with ion beams | The DArk Matter Particle Explorer (DAMPE) is one of the four satellites
within Strategic Pioneer Research Program in Space Science of the Chinese
Academy of Science (CAS). DAMPE can detect electrons, photons in a wide energy
range (5 GeV to 10 TeV) and ions up to iron (100GeV to 100 TeV).
Silicon-Tungsten Tracker (ST... | 0 | 1 | 0 | 0 | 0 | 0 |
Scalable Cryogenic Read-out Circuit for a Superconducting Nanowire Single-Photon Detector System | The superconducting nanowire single photon detector (SNSPD) is a leading
technology for quantum information science applications using photons, and they
are finding increasing uses in photon-starved classical imaging applications.
Critical detector characteristics, such as timing resolution (jitter), reset
time and m... | 0 | 1 | 0 | 0 | 0 | 0 |
String principal bundles and Courant algebroids | Just like Atiyah Lie algebroids encode the infinitesimal symmetries of
principal bundles, exact Courant algebroids are believed to encode the
infinitesimal symmetries of $S^1$-gerbes. At the same time, transitive Courant
algebroids may be viewed as the higher analogue of Atiyah Lie algebroids, and
the non-commutative... | 0 | 0 | 1 | 0 | 0 | 0 |
Electroforming-Free TaOx Memristors using Focused Ion Beam Irradiations | We demonstrate creation of electroforming-free TaOx memristive devices using
focused ion beam irradiations to locally define conductive filaments in TaOx
films. Electrical characterization shows that these irradiations directly
create fully functional memristors without the need for electroforming. Ion
beam forming o... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal hypothesis testing for stochastic block models with growing degrees | The present paper considers testing an Erdos--Renyi random graph model
against a stochastic block model in the asymptotic regime where the average
degree of the graph grows with the graph size n. Our primary interest lies in
those cases in which the signal-to-noise ratio is at a constant level. Focusing
on symmetric ... | 1 | 0 | 1 | 1 | 0 | 0 |
Generalized End-to-End Loss for Speaker Verification | In this paper, we propose a new loss function called generalized end-to-end
(GE2E) loss, which makes the training of speaker verification models more
efficient than our previous tuple-based end-to-end (TE2E) loss function. Unlike
TE2E, the GE2E loss function updates the network in a way that emphasizes
examples that ... | 1 | 0 | 0 | 1 | 0 | 0 |
Penalized pairwise pseudo likelihood for variable selection with nonignorable missing data | The regularization approach for variable selection was well developed for a
completely observed data set in the past two decades. In the presence of
missing values, this approach needs to be tailored to different missing data
mechanisms. In this paper, we focus on a flexible and generally applicable
missing data mech... | 0 | 0 | 0 | 1 | 0 | 0 |
Fast embedding of multilayer networks: An algorithm and application to group fMRI | Learning interpretable features from complex multilayer networks is a
challenging and important problem. The need for such representations is
particularly evident in multilayer networks of the brain, where nodal
characteristics may help model and differentiate regions of the brain according
to individual, cognitive t... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards Better Summarizing Bug Reports with Crowdsourcing Elicited Attributes | Recent years have witnessed the growing demands for resolving numerous bug
reports in software maintenance. Aiming to reduce the time testers/developers
take in perusing bug reports, the task of bug report summarization has
attracted a lot of research efforts in the literature. However, no systematic
analysis has bee... | 1 | 0 | 0 | 0 | 0 | 0 |
Extraordinary linear dynamic range in laser-defined functionalized graphene photodetectors | Graphene-based photodetectors have demonstrated mechanical flexibility, large
operating bandwidth, and broadband spectral response. However, their linear
dynamic range (LDR) is limited by graphene's intrinsichot-carrier dynamics,
which causes deviation from a linear photoresponse at low incident powers. At
the same t... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network | In this paper, we propose an efficient transfer leaning methods for training
a personalized language model using a recurrent neural network with long
short-term memory architecture. With our proposed fast transfer learning
schemes, a general language model is updated to a personalized language model
with a small amou... | 1 | 0 | 0 | 0 | 0 | 0 |
Convergence of ground state solutions for nonlinear Schrödinger equations on graphs | We consider the nonlinear Schrödinger equation $-\Delta u+(\lambda
a(x)+1)u=|u|^{p-1}u$ on a locally finite graph $G=(V,E)$. We prove via the
Nehari method that if $a(x)$ satisfies certain assumptions, for any
$\lambda>1$, the equation admits a ground state solution $u_\lambda$. Moreover,
as $\lambda\rightarrow \inft... | 0 | 0 | 1 | 0 | 0 | 0 |
Error Analysis of the Stochastic Linear Feedback Particle Filter | This paper is concerned with the convergence and long-term stability analysis
of the feedback particle filter (FPF) algorithm. The FPF is an interacting
system of $N$ particles where the interaction is designed such that the
empirical distribution of the particles approximates the posterior
distribution. It is known ... | 1 | 0 | 0 | 0 | 0 | 0 |
Geometry in the Courtroom | There has been a recent media blitz on a cohort of mathematicians valiantly
working to fix America's democratic system by combatting gerrymandering with
geometry. While statistics commonly features in the courtroom (forensics, DNA
analysis, etc.), the gerrymandering news raises a natural question: in what
other ways ... | 0 | 0 | 1 | 0 | 0 | 0 |
Proof of Concept of Wireless TERS Monitoring | Temporary earth retaining structures (TERS) help prevent collapse during
construction excavation. To ensure that these structures are operating within
design specifications, load forces on supports must be monitored. Current
monitoring approaches are expensive, sparse, off-line, and thus difficult to
integrate into p... | 1 | 0 | 0 | 0 | 0 | 0 |
Hyperrigid subsets of Cuntz-Krieger algebras and the property of rigidity at zero | A subset $\mathcal{G}$ generating a $C^*$-algebra $A$ is said to be
hyperrigid if for every faithful nondegenerate $*$-representation $A\subseteq
B(H)$ and a sequence $\phi_n:B(H) \to B(H)$ of unital completely positive maps,
we have that \[ \lim_{n\to\infty}\phi_n(g)= g~~\text{for all } g\in \mathcal{G}
~~ \implies ... | 0 | 0 | 1 | 0 | 0 | 0 |
Chiral Mott insulators in frustrated Bose-Hubbard models on ladders and two-dimensional lattices: a combined perturbative and density matrix renormalization group study | We study the fully gapped chiral Mott insulator (CMI) of frustrated
Bose-Hubbard models on ladders and two-dimensional lattices by perturbative
strong-coupling analysis and density matrix renormalization group (DMRG). First
we show the existence of a low-lying exciton state on all geometries carrying
the correct quan... | 0 | 1 | 0 | 0 | 0 | 0 |
Thermodynamic Limit of Interacting Particle Systems over Time-varying Sparse Random Networks | We establish a functional weak law of large numbers for observable
macroscopic state variables of interacting particle systems (e.g., voter and
contact processes) over fast time-varying sparse random networks of
interactions. We show that, as the number of agents $N$ grows large, the
proportion of agents $\left(\over... | 0 | 0 | 1 | 0 | 0 | 0 |
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