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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On the incorporation of interval-valued fuzzy sets into the Bousi-Prolog system: declarative semantics, implementation and applications | In this paper we analyse the benefits of incorporating interval-valued fuzzy
sets into the Bousi-Prolog system. A syntax, declarative semantics and im-
plementation for this extension is presented and formalised. We show, by using
potential applications, that fuzzy logic programming frameworks enhanced with
them can ... | 1 | 0 | 0 | 0 | 0 | 0 |
Characterization of Thermal Neutron Beam Monitors | Neutron beam monitors with high efficiency, low gamma sensitivity, high time
and space resolution are required in neutron beam experiments to continuously
diagnose the delivered beam. In this work, commercially available neutron beam
monitors have been characterized using the R2D2 beamline at IFE (Norway) and
using a... | 0 | 1 | 0 | 0 | 0 | 0 |
Detecting Galaxy-Filament Alignments in the Sloan Digital Sky Survey III | Previous studies have shown the filamentary structures in the cosmic web
influence the alignments of nearby galaxies. We study this effect in the LOWZ
sample of the Sloan Digital Sky Survey using the "Cosmic Web Reconstruction"
filament catalogue of Chen et al. (2016). We find that LOWZ galaxies exhibit a
small but s... | 0 | 0 | 0 | 1 | 0 | 0 |
Pandeia: A Multi-mission Exposure Time Calculator for JWST and WFIRST | Pandeia is the exposure time calculator (ETC) system developed for the James
Webb Space Telescope (JWST) that will be used for creating JWST proposals. It
includes a simulation-hybrid Python engine that calculates the two-dimensional
pixel-by-pixel signal and noise properties of the JWST instruments. This allows
for ... | 0 | 1 | 0 | 0 | 0 | 0 |
The numbers of edges of 5-polytopes with a given number of vertices | A basic combinatorial invariant of a convex polytope $P$ is its $f$-vector
$f(P)=(f_0,f_1,\dots,f_{\dim P-1})$, where $f_i$ is the number of
$i$-dimensional faces of $P$. Steinitz characterized all possible $f$-vectors
of $3$-polytopes and Grünbaum characterized the pairs given by the first two
entries of the $f$-vec... | 0 | 0 | 1 | 0 | 0 | 0 |
MapExif: an image scanning and mapping tool for investigators | Recently, the integration of geographical coordinates into a picture has
become more and more popular. Indeed almost all smartphones and many cameras
today have a built-in GPS receiver that stores the location information in the
Exif header when a picture is taken. Although the automatic embedding of
geotags in pictu... | 1 | 0 | 0 | 0 | 0 | 0 |
Fitch-Style Modal Lambda Calculi | Fitch-style modal deduction, in which modalities are eliminated by opening a
subordinate proof, and introduced by shutting one, were investigated in the
1990s as a basis for lambda calculi. We show that such calculi have good
computational properties for a variety of intuitionistic modal logics.
Semantics are given i... | 1 | 0 | 0 | 0 | 0 | 0 |
Hot Stuff for One Year (HSOY) - A 583 million star proper motion catalogue derived from Gaia DR1 and PPMXL | Recently, the first installment of data from ESA's Gaia astrometric satellite
mission (Gaia-DR1) was released, containing positions of more than 1 billion
stars with unprecedented precision, as well as only proper motions and
parallaxes, however only for a subset of 2 million objects. The second release,
due in late ... | 0 | 1 | 0 | 0 | 0 | 0 |
Asymptotic behaviour of ground states for mixtures of ferromagnetic and antiferromagnetic interactions in a dilute regime | We consider randomly distributed mixtures of bonds of ferromagnetic and
antiferromagnetic type in a two-dimensional square lattice with probability
$1-p$ and $p$, respectively, according to an i.i.d. random variable. We study
minimizers of the corresponding nearest-neighbour spin energy on large domains
in ${\mathbb ... | 0 | 0 | 1 | 0 | 0 | 0 |
Extended Reduced-Form Framework for Non-Life Insurance | In this paper we propose a general framework for modeling an insurance
claims' information flow in continuous time, by generalizing the reduced-form
framework for credit risk and life insurance. In particular, we assume a
nontrivial dependence structure between the reference filtration and the
insurance internal filt... | 0 | 0 | 0 | 0 | 0 | 1 |
Overview of Recent Studies and Design Changes for the FNAL Magnetron Ion Source | This paper will cover several studies and design changes that will eventually
be implemented to the Fermi National Accelerator Laboratory (FNAL) magnetron
ion source. The topics include tungsten cathode insert, solenoid gas valves,
current controlled arc pulser, cesium boiler redesign, gas mixtures of hydrogen
and ni... | 0 | 1 | 0 | 0 | 0 | 0 |
Complete algebraic solution of multidimensional optimization problems in tropical semifield | We consider multidimensional optimization problems that are formulated in the
framework of tropical mathematics to minimize functions defined on vectors over
a tropical semifield (a semiring with idempotent addition and invertible
multiplication). The functions, given by a matrix and calculated through
multiplicative... | 1 | 0 | 1 | 0 | 0 | 0 |
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back | A graph is a powerful concept for representation of relations between pairs
of entities. Data with underlying graph structure can be found across many
disciplines and there is a natural desire for understanding such data better.
Deep learning (DL) has achieved significant breakthroughs in a variety of
machine learnin... | 1 | 0 | 0 | 1 | 0 | 0 |
Supermodular Optimization for Redundant Robot Assignment under Travel-Time Uncertainty | This paper considers the assignment of multiple mobile robots to goal
locations under uncertain travel time estimates. Our aim is to produce optimal
assignments, such that the average waiting time at destinations is minimized.
Our premise is that time is the most valuable asset in the system. Hence, we
make use of re... | 1 | 0 | 0 | 0 | 0 | 0 |
Several classes of optimal ternary cyclic codes | Cyclic codes have efficient encoding and decoding algorithms over finite
fields, so that they have practical applications in communication systems,
consumer electronics and data storage systems. The objective of this paper is
to give eight new classes of optimal ternary cyclic codes with parameters
$[3^m-1,3^m-1-2m,4... | 1 | 0 | 1 | 0 | 0 | 0 |
$Σ$-pure-injective modules for string algebras and linear relations | We prove that indecomposable $\Sigma$-pure-injective modules for a string
algebra are string or band modules. The key step in our proof is a splitting
result for infinite-dimensional linear relations.
| 0 | 0 | 1 | 0 | 0 | 0 |
Continuous Optimization of Adaptive Quadtree Structures | We present a novel continuous optimization method to the discrete problem of
quadtree optimization. The optimization aims at achieving a quadtree structure
with the highest mechanical stiffness, where the edges in the quadtree are
interpreted as structural elements carrying mechanical loads. We formulate
quadtree opt... | 1 | 0 | 0 | 0 | 0 | 0 |
Machine Learning Meets Microeconomics: The Case of Decision Trees and Discrete Choice | We provide a microeconomic framework for decision trees: a popular machine
learning method. Specifically, we show how decision trees represent a
non-compensatory decision protocol known as disjunctions-of-conjunctions and
how this protocol generalizes many of the non-compensatory rules used in the
discrete choice lit... | 0 | 0 | 0 | 1 | 0 | 0 |
Structured Control Nets for Deep Reinforcement Learning | In recent years, Deep Reinforcement Learning has made impressive advances in
solving several important benchmark problems for sequential decision making.
Many control applications use a generic multilayer perceptron (MLP) for
non-vision parts of the policy network. In this work, we propose a new neural
network archit... | 1 | 0 | 0 | 0 | 0 | 0 |
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits | We consider the problem of identifying any $k$ out of the best $m$ arms in an
$n$-armed stochastic multi-armed bandit. Framed in the PAC setting, this
particular problem generalises both the problem of `best subset selection' and
that of selecting `one out of the best m' arms [arcsk 2017]. In applications
such as cro... | 1 | 0 | 0 | 1 | 0 | 0 |
Collaborative Filtering using Denoising Auto-Encoders for Market Basket Data | Recommender systems (RS) help users navigate large sets of items in the
search for "interesting" ones. One approach to RS is Collaborative Filtering
(CF), which is based on the idea that similar users are interested in similar
items. Most model-based approaches to CF seek to train a
machine-learning/data-mining model... | 1 | 0 | 0 | 1 | 0 | 0 |
Stein's Method for Stationary Distributions of Markov Chains and Application to Ising Models | We develop a new technique, based on Stein's method, for comparing two
stationary distributions of irreducible Markov Chains whose update rules are
`close enough'. We apply this technique to compare Ising models on $d$-regular
expander graphs to the Curie-Weiss model (complete graph) in terms of pairwise
correlations... | 0 | 0 | 1 | 0 | 0 | 0 |
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages | In this paper, we propose a novel and elegant solution to "Multi-Source
Neural Machine Translation" (MSNMT) which only relies on preprocessing a N-way
multilingual corpus without modifying the Neural Machine Translation (NMT)
architecture or training procedure. We simply concatenate the source sentences
to form a sin... | 1 | 0 | 0 | 0 | 0 | 0 |
Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods | The literature on Inverse Reinforcement Learning (IRL) typically assumes that
humans take actions in order to minimize the expected value of a cost function,
i.e., that humans are risk neutral. Yet, in practice, humans are often far from
being risk neutral. To fill this gap, the objective of this paper is to devise
a... | 1 | 0 | 0 | 0 | 0 | 0 |
QRT maps and related Laurent systems | In recent work it was shown how recursive factorisation of certain QRT maps
leads to Somos-4 and Somos-5 recurrences with periodic coefficients, and to a
fifth-order recurrence with the Laurent property. Here we recursively factorise
the 12-parameter symmetric QRT map, given by a second-order recurrence, to
obtain a ... | 0 | 1 | 1 | 0 | 0 | 0 |
Model-based reinforcement learning in differential graphical games | This paper seeks to combine differential game theory with the
actor-critic-identifier architecture to determine forward-in-time, approximate
optimal controllers for formation tracking in multi-agent systems, where the
agents have uncertain heterogeneous nonlinear dynamics. A continuous control
strategy is proposed, u... | 1 | 0 | 1 | 0 | 0 | 0 |
The depth of a finite simple group | We introduce the notion of the depth of a finite group $G$, defined as the
minimal length of an unrefinable chain of subgroups from $G$ to the trivial
subgroup. In this paper we investigate the depth of (non-abelian) finite simple
groups. We determine the simple groups of minimal depth, and show, somewhat
surprisingl... | 0 | 0 | 1 | 0 | 0 | 0 |
TRAGALDABAS. First results on cosmic ray studies and their relation with the solar activity, the Earth magnetic field and the atmospheric properties | Cosmic rays originating from extraterrestrial sources are permanently
arriving at Earth atmosphere, where they produce up to billions of secondary
particles. The analysis of the secondary particles reaching to the surface of
the Earth may provide a very valuable information about the Sun activity,
changes in the geom... | 0 | 1 | 0 | 0 | 0 | 0 |
Approximation of solutions of SDEs driven by a fractional Brownian motion, under pathwise uniqueness | Our aim in this paper is to establish some strong stability properties of a
solution of a stochastic differential equation driven by a fractional Brownian
motion for which the pathwise uniqueness holds. The results are obtained using
Skorokhod's selection theorem.
| 0 | 0 | 1 | 0 | 0 | 0 |
Smoothed GMM for quantile models | This paper develops theory for feasible estimators of finite-dimensional
parameters identified by general conditional quantile restrictions, under much
weaker assumptions than previously seen in the literature. This includes
instrumental variables nonlinear quantile regression as a special case. More
specifically, we... | 0 | 0 | 1 | 1 | 0 | 0 |
Multi-district preference modelling | Generating realistic artificial preference distributions is an important part
of any simulation analysis of electoral systems. While this has been discussed
in some detail in the context of a single electoral district, many electoral
systems of interest are based on multiple districts. Neither treating
preferences be... | 1 | 1 | 0 | 0 | 0 | 0 |
Orientability of the moduli space of Spin(7)-instantons | Let $(M,\Omega)$ be a closed $8$-dimensional manifold equipped with a
generically non-integrable $\mathrm{Spin}(7)$-structure $\Omega$. We prove that
if $\mathrm{Hom}(H^{3}(M,\mathbb{Z}), \mathbb{Z}_{2}) = 0$ then the moduli
space of irreducible $\mathrm{Spin}(7)$-instantons on $(M,\Omega)$ with gauge
group $\mathrm{... | 0 | 0 | 1 | 0 | 0 | 0 |
Neural Text Generation: A Practical Guide | Deep learning methods have recently achieved great empirical success on
machine translation, dialogue response generation, summarization, and other
text generation tasks. At a high level, the technique has been to train
end-to-end neural network models consisting of an encoder model to produce a
hidden representation... | 1 | 0 | 0 | 1 | 0 | 0 |
Context Prediction for Unsupervised Deep Learning on Point Clouds | Point clouds provide a flexible and natural representation usable in
countless applications such as robotics or self-driving cars. Recently, deep
neural networks operating on raw point cloud data have shown promising results
on supervised learning tasks such as object classification and semantic
segmentation. While m... | 1 | 0 | 0 | 1 | 0 | 0 |
A core-set approach for distributed quadratic programming in big-data classification | A new challenge for learning algorithms in cyber-physical network systems is
the distributed solution of big-data classification problems, i.e., problems in
which both the number of training samples and their dimension is high.
Motivated by several problem set-ups in Machine Learning, in this paper we
consider a spec... | 1 | 0 | 1 | 0 | 0 | 0 |
On the Erasure Robustness Property of Random Matrices | The study of the restricted isometry property (RIP) for corrupted random
matrices is particularly important in the field of compressed sensing (CS) with
corruptions. If a matrix still satisfy RIP after a certain portion of rows are
erased, then we say that the matrix has the strong restricted isometry property
(SRIP.... | 0 | 0 | 1 | 0 | 0 | 0 |
The Weighted Kendall and High-order Kernels for Permutations | We propose new positive definite kernels for permutations. First we introduce
a weighted version of the Kendall kernel, which allows to weight unequally the
contributions of different item pairs in the permutations depending on their
ranks. Like the Kendall kernel, we show that the weighted version is invariant
to re... | 0 | 0 | 0 | 1 | 0 | 0 |
Synchronizing automata and the language of minimal reset words | We study a connection between synchronizing automata and its set $M$ of
minimal reset words, i.e., such that no proper factor is a reset word. We first
show that any synchronizing automaton having the set of minimal reset words
whose set of factors does not contain a word of length at most
$\frac{1}{4}\min\{|u|: u\in... | 1 | 0 | 0 | 0 | 0 | 0 |
Peephole: Predicting Network Performance Before Training | The quest for performant networks has been a significant force that drives
the advancements of deep learning in recent years. While rewarding, improving
network design has never been an easy journey. The large design space combined
with the tremendous cost required for network training poses a major obstacle
to this ... | 1 | 0 | 0 | 1 | 0 | 0 |
Optimization Landscape and Expressivity of Deep CNNs | We analyze the loss landscape and expressiveness of practical deep
convolutional neural networks (CNNs) with shared weights and max pooling
layers. We show that such CNNs produce linearly independent features at a
"wide" layer which has more neurons than the number of training samples. This
condition holds e.g. for t... | 1 | 0 | 0 | 1 | 0 | 0 |
A new cosine series antialiasing function and its application to aliasing-free glottal source models for speech and singing synthesis | We formulated and implemented a procedure to generate aliasing-free
excitation source signals. It uses a new antialiasing filter in the continuous
time domain followed by an IIR digital filter for response equalization. We
introduced a cosine-series-based general design procedure for the new
antialiasing function. We... | 1 | 0 | 0 | 0 | 0 | 0 |
Defining Equations of Nilpotent Orbits for Borel Subgroups of Modality Zero in Type $A_{n}$ | Let $G$ be a quasi-simple algebraic group defined over an algebraically
closed field $k$ and $B$ a Borel subgroup of $G$ acting on the nilradical
$\mathfrak{n}$ of its Lie algebra $\mathfrak{b}$ via the Adjoint
representation. It is known that $B$ has only finitely many orbits in only five
cases: when $G$ is of type ... | 0 | 0 | 1 | 0 | 0 | 0 |
Quadratically Tight Relations for Randomized Query Complexity | Let $f:\{0,1\}^n \rightarrow \{0,1\}$ be a Boolean function. The certificate
complexity $C(f)$ is a complexity measure that is quadratically tight for the
zero-error randomized query complexity $R_0(f)$: $C(f) \leq R_0(f) \leq
C(f)^2$. In this paper we study a new complexity measure that we call
expectational certifi... | 1 | 0 | 0 | 0 | 0 | 0 |
Parabolic subgroup orbits on finite root systems | Oshima's Lemma describes the orbits of parabolic subgroups of irreducible
finite Weyl groups on crystallographic root systems. This note generalises that
result to all root systems of finite Coxeter groups, and provides a self
contained proof, independent of the representation theory of semisimple complex
Lie algebra... | 0 | 0 | 1 | 0 | 0 | 0 |
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction | In human-in-the-loop machine learning, the user provides information beyond
that in the training data. Many algorithms and user interfaces have been
designed to optimize and facilitate this human--machine interaction; however,
fewer studies have addressed the potential defects the designs can cause.
Effective interac... | 1 | 0 | 0 | 1 | 0 | 0 |
A note on the asymptotics of the modified Bessel functions on the Stokes lines | We employ the exponentially improved asymptotic expansions of the confluent
hypergeometric functions on the Stokes lines discussed by the author [Appl.
Math. Sci. {\bf 7} (2013) 6601--6609] to give the analogous expansions of the
modified Bessel functions $I_\nu(z)$ and $K_\nu(z)$ for large $z$ and finite
$\nu$ on $\... | 0 | 0 | 1 | 0 | 0 | 0 |
Fair k-Center Clustering for Data Summarization | In data summarization we want to choose k prototypes in order to summarize a
data set. We study a setting where the data set comprises several demographic
groups and we are restricted to choose k_i prototypes belonging to group i. A
common approach to the problem without the fairness constraint is to optimize a
centr... | 1 | 0 | 0 | 1 | 0 | 0 |
Advanced Bayesian Multilevel Modeling with the R Package brms | The brms package allows R users to easily specify a wide range of Bayesian
single-level and multilevel models, which are fitted with the probabilistic
programming language Stan behind the scenes. Several response distributions are
supported, of which all parameters (e.g., location, scale, and shape) can be
predicted ... | 0 | 0 | 0 | 1 | 0 | 0 |
$W$-entropy, super Perelman Ricci flows and $(K, m)$-Ricci solitons | In this paper, we prove the characterization of the $(K, \infty)$-super
Perelman Ricci flows by various functional inequalities and gradient estimate
for the heat semigroup generated by the Witten Laplacian on manifolds equipped
with time dependent metrics and potentials. As a byproduct, we derive the
Hamilton type d... | 0 | 0 | 1 | 0 | 0 | 0 |
Stellar energetic particle ionization in protoplanetary disks around T Tauri stars | Anomalies in the abundance measurements of short lived radionuclides in
meteorites indicate that the protosolar nebulae was irradiated by a high amount
of energetic particles (E$\gtrsim$10 MeV). The particle flux of the
contemporary Sun cannot explain these anomalies. However, similar to T Tauri
stars the young Sun w... | 0 | 1 | 0 | 0 | 0 | 0 |
Extended Trust-Region Problems with One or Two Balls: Exact Copositive and Lagrangian Relaxations | We establish a geometric condition guaranteeing exact copositive relaxation
for the nonconvex quadratic optimization problem under two quadratic and
several linear constraints, and present sufficient conditions for global
optimality in terms of generalized Karush-Kuhn-Tucker multipliers. The
copositive relaxation is ... | 0 | 0 | 1 | 0 | 0 | 0 |
Weighted batch means estimators in Markov chain Monte Carlo | This paper proposes a family of weighted batch means variance estimators,
which are computationally efficient and can be conveniently applied in
practice. The focus is on Markov chain Monte Carlo simulations and estimation
of the asymptotic covariance matrix in the Markov chain central limit theorem,
where conditions... | 0 | 0 | 0 | 1 | 0 | 0 |
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation | Gradient-based optimization is the foundation of deep learning and
reinforcement learning. Even when the mechanism being optimized is unknown or
not differentiable, optimization using high-variance or biased gradient
estimates is still often the best strategy. We introduce a general framework
for learning low-varianc... | 1 | 0 | 0 | 0 | 0 | 0 |
Truncation-free Hybrid Inference for DPMM | Dirichlet process mixture models (DPMM) are a cornerstone of Bayesian
non-parametrics. While these models free from choosing the number of components
a-priori, computationally attractive variational inference often reintroduces
the need to do so, via a truncation on the variational distribution. In this
paper we pres... | 1 | 0 | 0 | 1 | 0 | 0 |
Functors and morphisms determined by subcategories | We study the existence and uniqueness of minimal right determiners in various
categories. Particularly in a Hom-finite hereditary abelian category with
enough projectives, we prove that the Auslander-Reiten-Smal{\o}-Ringel formula
of the minimal right determiner still holds. As an application, we give a
formula of mi... | 0 | 0 | 1 | 0 | 0 | 0 |
Collective Effects in Nanolasers Explained by Generalized Rate Equations | We study the stationary photon output and statistics of small lasers. Our
closed-form expressions clarify the contribution of collective effects due to
the interaction between quantum emitters. We generalize laser rate equations
and explain photon trapping: a decrease of the photon number output below the
lasing thre... | 0 | 1 | 0 | 0 | 0 | 0 |
The Risk of Machine Learning | Many applied settings in empirical economics involve simultaneous estimation
of a large number of parameters. In particular, applied economists are often
interested in estimating the effects of many-valued treatments (like teacher
effects or location effects), treatment effects for many groups, and prediction
models ... | 0 | 0 | 0 | 1 | 0 | 0 |
Agatha: disentangling periodic signals from correlated noise in a periodogram framework | Periodograms are used as a key significance assessment and visualisation tool
to display the significant periodicities in unevenly sampled time series. We
introduce a framework of periodograms, called "Agatha", to disentangle periodic
signals from correlated noise and to solve the 2-dimensional model selection
proble... | 0 | 1 | 0 | 1 | 0 | 0 |
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome | In this work, we consider the problem of predicting the course of a
progressive disease, such as cancer or Alzheimer's. Progressive diseases often
start with mild symptoms that might precede a diagnosis, and each patient
follows their own trajectory. Patient trajectories exhibit wild variability,
which can be associa... | 0 | 0 | 0 | 1 | 0 | 0 |
On the generation of the quarks through spontaneous symmetry breaking | In this paper we present the state of the art about the quarks: group SU(3),
Lie algebra, the electric charge and mass. The quarks masses are generated in
the same way as the lepton masses. It is constructed a term in the Lagrangian
that couples the Higgs doublet to the fermion fields.
| 0 | 1 | 0 | 0 | 0 | 0 |
Distributed Holistic Clustering on Linked Data | Link discovery is an active field of research to support data integration in
the Web of Data. Due to the huge size and number of available data sources,
efficient and effective link discovery is a very challenging task. Common
pairwise link discovery approaches do not scale to many sources with very large
entity sets... | 1 | 0 | 0 | 0 | 0 | 0 |
A branch-and-bound algorithm for the minimum radius $k$-enclosing ball problem | The minimum $k$-enclosing ball problem seeks the ball with smallest radius
that contains at least~$k$ of~$m$ given points in a general $n$-dimensional
Euclidean space. This problem is NP-hard. We present a branch-and-bound
algorithm on the tree of the subsets of~$k$ points to solve this problem. The
nodes on the tree... | 1 | 0 | 1 | 0 | 0 | 0 |
Dependency Parsing with Dilated Iterated Graph CNNs | Dependency parses are an effective way to inject linguistic knowledge into
many downstream tasks, and many practitioners wish to efficiently parse
sentences at scale. Recent advances in GPU hardware have enabled neural
networks to achieve significant gains over the previous best models, these
models still fail to lev... | 1 | 0 | 0 | 0 | 0 | 0 |
Motion Planning in Irreducible Path Spaces | The motion of a mechanical system can be defined as a path through its
configuration space. Computing such a path has a computational complexity
scaling exponentially with the dimensionality of the configuration space. We
propose to reduce the dimensionality of the configuration space by introducing
the irreducible p... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Neural Networks with Two Nonlinear Layers in Polynomial Time | We give a polynomial-time algorithm for learning neural networks with one
layer of sigmoids feeding into any Lipschitz, monotone activation function
(e.g., sigmoid or ReLU). We make no assumptions on the structure of the
network, and the algorithm succeeds with respect to {\em any} distribution on
the unit ball in $n... | 1 | 0 | 0 | 1 | 0 | 0 |
Sample-Derived Disjunctive Rules for Secure Power System Operation | Machine learning techniques have been used in the past using Monte Carlo
samples to construct predictors of the dynamic stability of power systems. In
this paper we move beyond the task of prediction and propose a comprehensive
approach to use predictors, such as Decision Trees (DT), within a standard
optimization fr... | 0 | 0 | 0 | 1 | 0 | 0 |
Satellite altimetry reveals spatial patterns of variations in the Baltic Sea wave climate | The main properties of the climate of waves in the seasonally ice-covered
Baltic Sea and its decadal changes since 1990 are estimated from satellite
altimetry data. The data set of significant wave heights (SWH) from all
existing nine satellites, cleaned and cross-validated against in situ
measurements, shows overall... | 0 | 1 | 0 | 0 | 0 | 0 |
Estimation of Covariance Matrices for Portfolio Optimization using Gaussian Processes | Estimating covariances between financial assets plays an important role in
risk management and optimal portfolio allocation. In practice, when the sample
size is small compared to the number of variables, i.e. when considering a wide
universe of assets over just a few years, this poses considerable challenges
and the... | 0 | 0 | 0 | 0 | 0 | 1 |
Zeeman interaction and Jahn-Teller effect in $Γ_8$ multiplet | We present a thorough analysis of the interplay of magnetic moment and the
Jahn-Teller effect in the $\Gamma_8$ cubic multiplet. We find that in the
presence of dynamical Jahn-Teller effect, the Zeeman interaction remains
isotropic, whereas the $g$ and $G$ factors can change their signs. The static
Jahn-Teller distor... | 0 | 1 | 0 | 0 | 0 | 0 |
Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps | Android has been the most popular smartphone system, with multiple platform
versions (e.g., KITKAT and Lollipop) active in the market. To manage the
application's compatibility with one or more platform versions, Android allows
apps to declare the supported platform SDK versions in their manifest files. In
this paper... | 1 | 0 | 0 | 0 | 0 | 0 |
The Design and Implementation of Modern Online Programming Competitions | This paper presents a framework for the implementation of online programming
competitions, including a set of principles for the design of the multiplayer
game and a practical framework for the construction of the competition
environment. The paper presents a successful example competition, the 2016-17
Halite challen... | 1 | 0 | 0 | 0 | 0 | 0 |
Emergence of a spectral gap in a class of random matrices associated with split graphs | Motivated by the intriguing behavior displayed in a dynamic network that
models a population of extreme introverts and extroverts (XIE), we consider the
spectral properties of ensembles of random split graph adjacency matrices. We
discover that, in general, a gap emerges in the bulk spectrum between -1 and 0
that con... | 0 | 1 | 1 | 0 | 0 | 0 |
Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents & Shareability of News Headlines | We present a software tool that employs state-of-the-art natural language
processing (NLP) and machine learning techniques to help newspaper editors
compose effective headlines for online publication. The system identifies the
most salient keywords in a news article and ranks them based on both their
overall populari... | 1 | 0 | 0 | 0 | 0 | 0 |
ParaGraphE: A Library for Parallel Knowledge Graph Embedding | Knowledge graph embedding aims at translating the knowledge graph into
numerical representations by transforming the entities and relations into
continuous low-dimensional vectors. Recently, many methods [1, 5, 3, 2, 6] have
been proposed to deal with this problem, but existing single-thread
implementations of them a... | 1 | 0 | 0 | 0 | 0 | 0 |
The Globular Cluster - Dark Matter Halo Connection | I present a simple phenomenological model for the observed linear scaling of
the stellar mass in old globular clusters (GCs) with $z=0$ halo mass in which
the stellar mass in GCs scales linearly with progenitor halo mass at $z=6$
above a minimum halo mass for GC formation. This model reproduces the observed
$M_{\rm G... | 0 | 1 | 0 | 0 | 0 | 0 |
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps | Convolutional neural networks (CNNs) have become the dominant neural network
architecture for solving many state-of-the-art (SOA) visual processing tasks.
Even though Graphical Processing Units (GPUs) are most often used in training
and deploying CNNs, their power efficiency is less than 10 GOp/s/W for
single-frame r... | 1 | 0 | 0 | 0 | 0 | 0 |
Platooning in the Presence of a Speed Drop: A Generalized Control Model | The positive impacts of platooning on travel time reliability, congestion,
emissions, and energy consumption have been shown for homogeneous roadway
segments. However, speed limit changes frequently throughout the transportation
network, due to either safety-related considerations (e.g., workzone
operations) or conge... | 1 | 0 | 0 | 0 | 0 | 0 |
Koszul duality for Lie algebroids | This paper studies the role of dg-Lie algebroids in derived deformation
theory. More precisely, we provide an equivalence between the homotopy theories
of formal moduli problems and dg-Lie algebroids over a commutative dg-algebra
of characteristic zero. At the level of linear objects, we show that the
category of rep... | 0 | 0 | 1 | 0 | 0 | 0 |
Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments | This paper presents a novel method to reduce the scale drift for indoor
monocular simultaneous localization and mapping (SLAM). We leverage the prior
knowledge that in the indoor environment, the line segments form tight
clusters, e.g. many door frames in a straight corridor are of the same shape,
size and orientatio... | 1 | 0 | 0 | 0 | 0 | 0 |
Direct visualization of vortex ice in a nanostructured superconductor | Artificial ice systems have unique physical properties promising for
potential applications. One of the most challenging issues in this field is to
find novel ice systems that allows a precise control over the geometries and
many-body interactions. Superconducting vortex matter has been proposed as a
very suitable ca... | 0 | 1 | 0 | 0 | 0 | 0 |
Statistical Mechanics of Node-perturbation Learning with Noisy Baseline | Node-perturbation learning is a type of statistical gradient descent
algorithm that can be applied to problems where the objective function is not
explicitly formulated, including reinforcement learning. It estimates the
gradient of an objective function by using the change in the object function in
response to the p... | 1 | 0 | 0 | 1 | 0 | 0 |
New Generalized Fixed Point Results on $S_{b}$-Metric Spaces | Recently $S_{b}$-metric spaces have been introduced as the generalizations of
metric and $S$-metric spaces. In this paper we investigate some basic
properties of this new space. We generalize the classical Banach's contraction
principle using the theory of a complete $S_{b}$-metric space. Also we give an
application ... | 0 | 0 | 1 | 0 | 0 | 0 |
A Decentralized Optimization Framework for Energy Harvesting Devices | Designing decentralized policies for wireless communication networks is a
crucial problem, which has only been partially solved in the literature so far.
In this paper, we propose the Decentralized Markov Decision Process (Dec-MDP)
framework to analyze a wireless sensor network with multiple users which access
a comm... | 1 | 0 | 1 | 0 | 0 | 0 |
Inf-sup stable finite-element methods for the Landau--Lifshitz--Gilbert and harmonic map heat flow equation | In this paper we propose and analyze a finite element method for both the
harmonic map heat and Landau--Lifshitz--Gilbert equation, the time variable
remaining continuous. Our starting point is to set out a unified saddle point
approach for both problems in order to impose the unit sphere constraint at the
nodes sinc... | 0 | 0 | 1 | 0 | 0 | 0 |
Power Control and Relay Selection in Full-Duplex Cognitive Relay Networks: Coherent versus Non-coherent Scenarios | This paper investigates power control and relay selection in Full Duplex
Cognitive Relay Networks (FDCRNs), where the secondary-user (SU) relays can
simultaneously receive and forward the signal from the SU source. We study both
non-coherent and coherent scenarios. In the non-coherent case, the SU relay
forwards the ... | 1 | 0 | 1 | 1 | 0 | 0 |
Ternary and $n$-ary $f$-distributive Structures | We introduce and study ternary $f$-distributive structures, Ternary
$f$-quandles and more generally their higher $n$-ary analogues. A
classification of ternary $f$-quandles is provided in low dimensions. Moreover,
we study extension theory and introduce a cohomology theory for ternary, and
more generally $n$-ary, $f$... | 0 | 0 | 1 | 0 | 0 | 0 |
Deformations of infinite-dimensional Lie algebras, exotic cohomology, and integrable nonlinear partial differential equations | The important unsolved problem in theory of integrable systems is to find
conditions guaranteeing existence of a Lax representation for a given PDE. The
use of the exotic cohomology of the symmetry algebras opens a way to formulate
such conditions in internal terms of the PDEs under the study. In this paper we
consid... | 0 | 1 | 0 | 0 | 0 | 0 |
Tunable high-harmonic generation by chromatic focusing of few-cycle laser pulses | In this work we study the impact of chromatic focusing of few-cycle laser
pulses on high-order harmonic generation (HHG) through analysis of the emitted
extreme ultraviolet (XUV) radiation. Chromatic focusing is usually avoided in
the few-cycle regime, as the pulse spatio-temporal structure may be highly
distorted by... | 0 | 1 | 0 | 0 | 0 | 0 |
Gate Switchable Transport and Optical Anisotropy in 90° Twisted Bilayer Black Phosphorus | Anisotropy describes the directional dependence of a material's properties
such as transport and optical response. In conventional bulk materials,
anisotropy is intrinsically related to the crystal structure, and thus not
tunable by the gating techniques used in modern electronics. Here we show that,
in bilayer black... | 0 | 1 | 0 | 0 | 0 | 0 |
MM Algorithms for Variance Component Estimation and Selection in Logistic Linear Mixed Model | Logistic linear mixed model is widely used in experimental designs and
genetic analysis with binary traits. Motivated by modern applications, we
consider the case with many groups of random effects and each group corresponds
to a variance component. When the number of variance components is large,
fitting the logisti... | 0 | 0 | 0 | 1 | 0 | 0 |
Settling the query complexity of non-adaptive junta testing | We prove that any non-adaptive algorithm that tests whether an unknown
Boolean function $f: \{0, 1\}^n\to \{0, 1\}$ is a $k$-junta or $\epsilon$-far
from every $k$-junta must make $\widetilde{\Omega}(k^{3/2} / \epsilon)$ many
queries for a wide range of parameters $k$ and $\epsilon$. Our result
dramatically improves ... | 1 | 0 | 0 | 0 | 0 | 0 |
Investigation of Language Understanding Impact for Reinforcement Learning Based Dialogue Systems | Language understanding is a key component in a spoken dialogue system. In
this paper, we investigate how the language understanding module influences the
dialogue system performance by conducting a series of systematic experiments on
a task-oriented neural dialogue system in a reinforcement learning based
setting. Th... | 1 | 0 | 0 | 0 | 0 | 0 |
String stability and a delay-based spacing policy for vehicle platoons subject to disturbances | A novel delay-based spacing policy for the control of vehicle platoons is
introduced together with a notion of disturbance string stability. The
delay-based spacing policy specifies the desired inter-vehicular distance
between vehicles and guarantees that all vehicles track the same spatially
varying reference veloci... | 1 | 0 | 1 | 0 | 0 | 0 |
Reidemeister spectra for solvmanifolds in low dimensions | The Reidemeister number of an endomorphism of a group is the number of
twisted conjugacy classes determined by that endomorphism. The collection of
all Reidemeister numbers of all automorphisms of a group $G$ is called the
Reidemeister spectrum of $G$. In this paper, we determine the Reidemeister
spectra of all funda... | 0 | 0 | 1 | 0 | 0 | 0 |
Cross-layer Optimization for Ultra-reliable and Low-latency Radio Access Networks | In this paper, we propose a framework for cross-layer optimization to ensure
ultra-high reliability and ultra-low latency in radio access networks, where
both transmission delay and queueing delay are considered. With short
transmission time, the blocklength of channel codes is finite, and the Shannon
Capacity cannot... | 1 | 0 | 0 | 0 | 0 | 0 |
Network Inference via the Time-Varying Graphical Lasso | Many important problems can be modeled as a system of interconnected
entities, where each entity is recording time-dependent observations or
measurements. In order to spot trends, detect anomalies, and interpret the
temporal dynamics of such data, it is essential to understand the relationships
between the different ... | 1 | 0 | 1 | 0 | 0 | 0 |
Construction of dynamical semigroups by a functional regularisation à la Kato | A functional version of the Kato one-parametric regularisation for the
construction of a dynamical semigroup generator of a relative bound one
perturbation is introduced. It does not require that the minus generator of the
unperturbed semigroup is a positivity preserving operator. The regularisation
is illustrated by... | 0 | 0 | 1 | 0 | 0 | 0 |
Visual Reasoning with Multi-hop Feature Modulation | Recent breakthroughs in computer vision and natural language processing have
spurred interest in challenging multi-modal tasks such as visual
question-answering and visual dialogue. For such tasks, one successful approach
is to condition image-based convolutional network computation on language via
Feature-wise Linea... | 0 | 0 | 0 | 1 | 0 | 0 |
Behavioral-clinical phenotyping with type 2 diabetes self-monitoring data | Objective: To evaluate unsupervised clustering methods for identifying
individual-level behavioral-clinical phenotypes that relate personal biomarkers
and behavioral traits in type 2 diabetes (T2DM) self-monitoring data. Materials
and Methods: We used hierarchical clustering (HC) to identify groups of meals
with simi... | 0 | 0 | 0 | 1 | 0 | 0 |
Ultrahigh capacitive energy storage in highly oriented BaZr(x)Ti(1-x)O3 thin films prepared by pulsed laser deposition | We report structural, optical, temperature and frequency dependent
dielectric, and energy storage properties of pulsed laser deposited (100)
highly textured BaZr(x)Ti(1-x)O3 (x = 0.3, 0.4 and 0.5) relaxor ferroelectric
thin films on La0.7Sr0.3MnO3/MgO substrates which make this compound as a
potential lead-free capac... | 0 | 1 | 0 | 0 | 0 | 0 |
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