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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Predictive and Prescriptive Analytics for Location Selection of Add-on Retail Products | In this paper, we study an analytical approach to selecting expansion
locations for retailers selling add-on products whose demand is derived from
the demand of another base product. Demand for the add-on product is realized
only as a supplement to the demand of the base product. In our context, either
of the two pro... | 0 | 0 | 0 | 1 | 0 | 0 |
Algebraic characterization of regular fractions under level permutations | In this paper we study the behavior of the fractions of a factorial design
under permutations of the factor levels. We focus on the notion of regular
fraction and we introduce methods to check whether a given symmetric orthogonal
array can or can not be transformed into a regular fraction by means of
suitable permuta... | 0 | 0 | 1 | 1 | 0 | 0 |
Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models | Biomedical events describe complex interactions between various biomedical
entities. Event trigger is a word or a phrase which typically signifies the
occurrence of an event. Event trigger identification is an important first step
in all event extraction methods. However many of the current approaches either
rely on ... | 1 | 0 | 0 | 0 | 0 | 0 |
Modern-day Universities and Regional Development | Nowadays it is quite evident that knowledge-based society necessarily
involves the revaluation of human and intangible assets, as the advancement of
local economies significantly depend on the qualitative and quantitative
characteristics of human capital[Lundvall, 2004]. As we can instantaneously
link the universitie... | 1 | 0 | 0 | 0 | 0 | 0 |
Method of Reduction of Variables for Bilinear Matrix Inequality Problems in System and Control Designs | Bilinear matrix inequality (BMI) problems in system and control designs are
investigated in this paper. A solution method of reduction of variables (MRVs)
is proposed. This method consists of a principle of variable classification, a
procedure for problem transformation, and a hybrid algorithm that combines
determini... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonlinear transport associated with spin-density-wave dynamics in Ca$_3$Co$_{4}$O$_9$ | We have carried out the transient nonlinear transport measurements on the
layered cobalt oxide Ca$_3$Co$_{4}$O$_9$, in which a spin density wave (SDW)
transition is proposed at $T_{\rm SDW} \simeq 30$ K. We find that, below
$T_{\rm SDW}$, the electrical conductivity systematically varies with both the
applied current... | 0 | 1 | 0 | 0 | 0 | 0 |
Bayesian Compression for Deep Learning | Compression and computational efficiency in deep learning have become a
problem of great significance. In this work, we argue that the most principled
and effective way to attack this problem is by adopting a Bayesian point of
view, where through sparsity inducing priors we prune large parts of the
network. We introd... | 1 | 0 | 0 | 1 | 0 | 0 |
The Observability Concept in a Class of Hybrid Control systems | In the discrete modeling approach for hybrid control systems, the continuous
plant is reduced to a discrete event approximation, called the DES-plant, that
is governed by a discrete event system, representing the controller. The
observability of the DES-plant model is crucial for the synthesis of the
controller and f... | 1 | 0 | 1 | 0 | 0 | 0 |
Towards a More Reliable Privacy-preserving Recommender System | This paper proposes a privacy-preserving distributed recommendation
framework, Secure Distributed Collaborative Filtering (SDCF), to preserve the
privacy of value, model and existence altogether. That says, not only the
ratings from the users to the items, but also the existence of the ratings as
well as the learned ... | 1 | 0 | 0 | 0 | 0 | 0 |
A study of posture judgement on vehicles using wearable acceleration sensor | We study methods to estimate drivers' posture in vehicles using acceleration
data of wearable sensor and conduct field tests. To prevent fatal accidents,
demands for safety management of bus and taxi are high. However, acceleration
of vehicles is added to wearable sensor in vehicles. Therefore, we study
methods to es... | 1 | 0 | 0 | 0 | 0 | 0 |
Smoothed nonparametric two-sample tests | We propose new smoothed median and the Wilcoxon's rank sum test. As is
pointed out by Maesono et al.(2016), some nonparametric discrete tests have a
problem with their significance probability. Because of this problem, the
selection of the median and the Wilcoxon's test can be biased too, however, we
show new smoothe... | 0 | 0 | 1 | 1 | 0 | 0 |
The Complexity of Graph-Based Reductions for Reachability in Markov Decision Processes | We study the never-worse relation (NWR) for Markov decision processes with an
infinite-horizon reachability objective. A state q is never worse than a state
p if the maximal probability of reaching the target set of states from p is at
most the same value from q, regard- less of the probabilities labelling the
transi... | 1 | 0 | 0 | 0 | 0 | 0 |
A stack-vector routing protocol for automatic tunneling | In a network, a tunnel is a part of a path where a protocol is encapsulated
in another one. A tunnel starts with an encapsulation and ends with the
corresponding decapsulation. Several tunnels can be nested at some stage,
forming a protocol stack. Tunneling is very important nowadays and it is
involved in several tas... | 1 | 0 | 0 | 0 | 0 | 0 |
Using of heterogeneous corpora for training of an ASR system | The paper summarizes the development of the LVCSR system built as a part of
the Pashto speech-translation system at the SCALE (Summer Camp for Applied
Language Exploration) 2015 workshop on "Speech-to-text-translation for
low-resource languages". The Pashto language was chosen as a good "proxy"
low-resource language,... | 1 | 0 | 0 | 0 | 0 | 0 |
Inferring Narrative Causality between Event Pairs in Films | To understand narrative, humans draw inferences about the underlying
relations between narrative events. Cognitive theories of narrative
understanding define these inferences as four different types of causality,
that include pairs of events A, B where A physically causes B (X drop, X
break), to pairs of events where... | 1 | 0 | 0 | 0 | 0 | 0 |
On Hom-Gerstenhaber algebras and Hom-Lie algebroids | We define the notion of hom-Batalin-Vilkovisky algebras and strong
differential hom-Gerstenhaber algebras as a special class of hom-Gerstenhaber
algebras and provide canonical examples associated to some well-known
hom-structures. Representations of a hom-Lie algebroid on a hom-bundle are
defined and a cohomology of ... | 0 | 0 | 1 | 0 | 0 | 0 |
Global existence in the 1D quasilinear parabolic-elliptic chemotaxis system with critical nonlinearity | The paper should be viewed as complement of an earlier result in [8]. In the
paper just mentioned it is shown that 1d case of a quasilinear
parabolic-elliptic Keller-Segel system is very special. Namely, unlike in
higher dimensions, there is no critical nonlinearity. Indeed, for the nonlinear
diffusion of the form 1/... | 0 | 0 | 1 | 0 | 0 | 0 |
Supercongruences between truncated ${}_3F_2$ hypergeometric series | We establish four supercongruences between truncated ${}_3F_2$ hypergeometric
series involving $p$-adic Gamma functions, which extend some of the
Rodriguez-Villegas supercongruences.
| 0 | 0 | 1 | 0 | 0 | 0 |
Indoor Localization Using Visible Light Via Fusion Of Multiple Classifiers | A multiple classifiers fusion localization technique using received signal
strengths (RSSs) of visible light is proposed, in which the proposed system
transmits different intensity modulated sinusoidal signals by LEDs and the
signals received by a Photo Diode (PD) placed at various grid points. First, we
obtain some ... | 1 | 0 | 0 | 1 | 0 | 0 |
Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms | Embedding graph nodes into a vector space can allow the use of machine
learning to e.g. predict node classes, but the study of node embedding
algorithms is immature compared to the natural language processing field
because of a diverse nature of graphs. We examine the performance of node
embedding algorithms with res... | 1 | 0 | 0 | 1 | 0 | 0 |
Data Fusion Reconstruction of Spatially Embedded Complex Networks | We introduce a kernel Lasso (kLasso) optimization that simultaneously
accounts for spatial regularity and network sparsity to reconstruct spatial
complex networks from data. Through a kernel function, the proposed approach
exploits spatial embedding distances to penalize overabundance of spatially
long-distance conne... | 0 | 1 | 0 | 1 | 0 | 0 |
Reconstruction from Periodic Nonlinearities, With Applications to HDR Imaging | We consider the problem of reconstructing signals and images from periodic
nonlinearities. For such problems, we design a measurement scheme that supports
efficient reconstruction; moreover, our method can be adapted to extend to
compressive sensing-based signal and image acquisition systems. Our techniques
can be po... | 0 | 0 | 0 | 1 | 0 | 0 |
Multirole Logic (Extended Abstract) | We identify multirole logic as a new form of logic in which
conjunction/disjunction is interpreted as an ultrafilter on the power set of
some underlying set (of roles) and the notion of negation is generalized to
endomorphisms on this underlying set. We formalize both multirole logic (MRL)
and linear multirole logic ... | 1 | 0 | 1 | 0 | 0 | 0 |
Interpreting Classifiers through Attribute Interactions in Datasets | In this work we present the novel ASTRID method for investigating which
attribute interactions classifiers exploit when making predictions. Attribute
interactions in classification tasks mean that two or more attributes together
provide stronger evidence for a particular class label. Knowledge of such
interactions ma... | 1 | 0 | 0 | 1 | 0 | 0 |
A Modified Levy Jump-Diffusion Model Based on Market Sentiment Memory for Online Jump Prediction | In this paper, we propose a modified Levy jump diffusion model with market
sentiment memory for stock prices, where the market sentiment comes from data
mining implementation using Tweets on Twitter. We take the market sentiment
process, which has memory, as the signal of Levy jumps in the stock price. An
online lear... | 1 | 0 | 0 | 0 | 0 | 0 |
Testing approximate predictions of displacements of cosmological dark matter halos | We present a test to quantify how well some approximate methods, designed to
reproduce the mildly non-linear evolution of perturbations, are able to
reproduce the clustering of DM halos once the grouping of particles into halos
is defined and kept fixed. The following methods have been considered:
Lagrangian Perturba... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient and Secure Routing Protocol for WSN-A Thesis | Advances in Wireless Sensor Network (WSN) have provided the availability of
small and low-cost sensors with the capability of sensing various types of
physical and environmental conditions, data processing, and wireless
communication. Since WSN protocols are application specific, the focus has been
given to the routi... | 1 | 0 | 0 | 0 | 0 | 0 |
Jackknife variance estimation for common mean estimators under ordered variances and general two-sample statistics | Samples with a common mean but possibly different, ordered variances arise in
various fields such as interlaboratory experiments, field studies or the
analysis of sensor data. Estimators for the common mean under ordered variances
typically employ random weights, which depend on the sample means and the
unbiased vari... | 0 | 0 | 1 | 1 | 0 | 0 |
ISM properties of a Massive Dusty Star-Forming Galaxy discovered at z ~ 7 | We report the discovery and constrain the physical conditions of the
interstellar medium of the highest-redshift millimeter-selected dusty
star-forming galaxy (DSFG) to date, SPT-S J031132-5823.4 (hereafter
SPT0311-58), at $z=6.900 +/- 0.002$. SPT0311-58 was discovered via its 1.4mm
thermal dust continuum emission in... | 0 | 1 | 0 | 0 | 0 | 0 |
A convex formulation of traffic dynamics on transportation networks | This article proposes a numerical scheme for computing the evolution of
vehicular traffic on a road network over a finite time horizon. The traffic
dynamics on each link is modeled by the Hamilton-Jacobi (HJ) partial
differential equation (PDE), which is an equivalent form of the
Lighthill-Whitham-Richards PDE. The m... | 0 | 1 | 1 | 0 | 0 | 0 |
Computational and informatics advances for reproducible data analysis in neuroimaging | The reproducibility of scientific research has become a point of critical
concern. We argue that openness and transparency are critical for
reproducibility, and we outline an ecosystem for open and transparent science
that has emerged within the human neuroimaging community. We discuss the range
of open data sharing ... | 0 | 0 | 0 | 0 | 1 | 0 |
HPD-invariance of the Tate, Beilinson and Parshin conjectures | We prove that the Tate, Beilinson and Parshin conjectures are invariant under
Homological Projective Duality (=HPD). As an application, we obtain a proof of
these celebrated conjectures (as well as of the strong form of the Tate
conjecture) in the new cases of linear sections of determinantal varieties and
complete i... | 0 | 0 | 1 | 0 | 0 | 0 |
Multi-dueling Bandits with Dependent Arms | The dueling bandits problem is an online learning framework for learning from
pairwise preference feedback, and is particularly well-suited for modeling
settings that elicit subjective or implicit human feedback. In this paper, we
study the problem of multi-dueling bandits with dependent arms, which extends
the origi... | 1 | 0 | 0 | 0 | 0 | 0 |
New constraints on the millimetre emission of six debris disks | The presence of dusty debris around main sequence stars denotes the existence
of planetary systems. Such debris disks are often identified by the presence of
excess continuum emission at infrared and (sub-)millimetre wavelengths, with
measurements at longer wavelengths tracing larger and cooler dust grains. The
expon... | 0 | 1 | 0 | 0 | 0 | 0 |
Bosonic integer quantum Hall effect as topological pumping | Based on a quasi-one-dimensional limit of quantum Hall states on a thin
torus, we construct a model of interaction-induced topological pumping which
mimics the Hall response of the bosonic integer quantum Hall (BIQH) state. The
quasi-one-dimensional counterpart of the BIQH state is identified as the
Haldane phase com... | 0 | 1 | 0 | 0 | 0 | 0 |
Connected Vehicular Transportation: Data Analytics and Traffic-dependent Networking | With onboard operating systems becoming increasingly common in vehicles, the
real-time broadband infotainment and Intelligent Transportation System (ITS)
service applications in fast-motion vehicles become ever demanding, which are
highly expected to significantly improve the efficiency and safety of our daily
on-roa... | 1 | 0 | 0 | 0 | 0 | 0 |
Strongly ergodic equivalence relations: spectral gap and type III invariants | We obtain a spectral gap characterization of strongly ergodic equivalence
relations on standard measure spaces. We use our spectral gap criterion to
prove that a large class of skew-product equivalence relations arising from
measurable $1$-cocycles with values into locally compact abelian groups are
strongly ergodic.... | 0 | 0 | 1 | 0 | 0 | 0 |
On-the-fly Operation Batching in Dynamic Computation Graphs | Dynamic neural network toolkits such as PyTorch, DyNet, and Chainer offer
more flexibility for implementing models that cope with data of varying
dimensions and structure, relative to toolkits that operate on statically
declared computations (e.g., TensorFlow, CNTK, and Theano). However, existing
toolkits - both stat... | 1 | 0 | 0 | 1 | 0 | 0 |
Mixtures of Skewed Matrix Variate Bilinear Factor Analyzers | Clustering is the process of finding and analyzing underlying group structure
in data. In recent years, data as become increasingly higher dimensional and,
therefore, an increased need has arisen for dimension reduction techniques for
clustering. Although such techniques are firmly established in the literature
for m... | 0 | 0 | 0 | 1 | 0 | 0 |
Transfer Learning to Learn with Multitask Neural Model Search | Deep learning models require extensive architecture design exploration and
hyperparameter optimization to perform well on a given task. The exploration of
the model design space is often made by a human expert, and optimized using a
combination of grid search and search heuristics over a large space of possible
choic... | 1 | 0 | 0 | 1 | 0 | 0 |
Hierarchical Game-Theoretic Planning for Autonomous Vehicles | The actions of an autonomous vehicle on the road affect and are affected by
those of other drivers, whether overtaking, negotiating a merge, or avoiding an
accident. This mutual dependence, best captured by dynamic game theory, creates
a strong coupling between the vehicle's planning and its predictions of other
driv... | 1 | 0 | 0 | 0 | 0 | 0 |
Observable dictionary learning for high-dimensional statistical inference | This paper introduces a method for efficiently inferring a high-dimensional
distributed quantity from a few observations. The quantity of interest (QoI) is
approximated in a basis (dictionary) learned from a training set. The
coefficients associated with the approximation of the QoI in the basis are
determined by min... | 0 | 0 | 0 | 1 | 0 | 0 |
Counterintuitive Reconstruction of the Polar O-Terminated ZnO Surface With Zinc Vacancies and Hydrogen | Understanding the structure of ZnO surface reconstructions and their
resultant properties is crucial to the rational design of ZnO-containing
devices ranging from optoelectronics to catalysts. Here, we are motivated by
recent experimental work which showed a new surface reconstruction containing
Zn vacancies ordered ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Finite-Tame-Wild Trichotomy Theorem for Tensor Diagrams | In this paper, we consider the problem of determining when two tensor
networks are equivalent under a heterogeneous change of basis. In particular,
to a string diagram in a certain monoidal category (which we call tensor
diagrams), we formulate an associated abelian category of representations. Each
representation co... | 0 | 0 | 1 | 0 | 0 | 0 |
Decomposing the Quantile Ratio Index with applications to Australian income and wealth data | The quantile ratio index introduced by Prendergast and Staudte 2017 is a
simple and effective measure of relative inequality for income data that is
resistant to outliers. It measures the average relative distance of a randomly
chosen income from its symmetric quantile. Another useful property of this
index is invest... | 0 | 0 | 0 | 1 | 0 | 0 |
Metamorphic Moving Horizon Estimation | This paper considers a practical scenario where a classical estimation method
might have already been implemented on a certain platform when one tries to
apply more advanced techniques such as moving horizon estimation (MHE). We are
interested to utilize MHE to upgrade, rather than completely discard, the
existing es... | 1 | 0 | 0 | 0 | 0 | 0 |
Erosion distance for generalized persistence modules | The persistence diagram of Cohen-Steiner, Edelsbrunner, and Harer was
recently generalized by Patel to the case of constructible persistence modules
with values in a symmetric monoidal category with images. Patel also introduced
a distance for persistence diagrams, the erosion distance. Motivated by this
work, we ext... | 0 | 0 | 1 | 0 | 0 | 0 |
Efficient Adjoint Computation for Wavelet and Convolution Operators | First-order optimization algorithms, often preferred for large problems,
require the gradient of the differentiable terms in the objective function.
These gradients often involve linear operators and their adjoints, which must
be applied rapidly. We consider two example problems and derive methods for
quickly evaluat... | 0 | 0 | 1 | 0 | 0 | 0 |
RCD: Rapid Close to Deadline Scheduling for Datacenter Networks | Datacenter-based Cloud Computing services provide a flexible, scalable and
yet economical infrastructure to host online services such as multimedia
streaming, email and bulk storage. Many such services perform geo-replication
to provide necessary quality of service and reliability to users resulting in
frequent large... | 1 | 0 | 0 | 0 | 0 | 0 |
Real representations of finite symplectic groups over fields of characteristic two | We prove that when $q$ is a power of $2$, every complex irreducible
representation of $\mathrm{Sp}(2n, \mathbb{F}_q)$ may be defined over the real
numbers, that is, all Frobenius-Schur indicators are 1. We also obtain a
generating function for the sum of the degrees of the unipotent characters of
$\mathrm{Sp}(2n, \ma... | 0 | 0 | 1 | 0 | 0 | 0 |
Risk measure estimation for $β$-mixing time series and applications | In this paper, we discuss the application of extreme value theory in the
context of stationary $\beta$-mixing sequences that belong to the Fréchet
domain of attraction. In particular, we propose a methodology to construct
bias-corrected tail estimators. Our approach is based on the combination of two
estimators for t... | 0 | 0 | 1 | 1 | 0 | 0 |
Transfer entropy between communities in complex networks | With the help of transfer entropy, we analyze information flows between
communities of complex networks. We show that the transfer entropy provides a
coherent description of interactions between communities, including non-linear
interactions. To put some flesh on the bare bones, we analyze transfer
entropies between ... | 0 | 1 | 0 | 0 | 0 | 0 |
Disentangled VAE Representations for Multi-Aspect and Missing Data | Many problems in machine learning and related application areas are
fundamentally variants of conditional modeling and sampling across multi-aspect
data, either multi-view, multi-modal, or simply multi-group. For example,
sampling from the distribution of English sentences conditioned on a given
French sentence or sa... | 0 | 0 | 0 | 1 | 0 | 0 |
On the spectral geometry of manifolds with conic singularities | In the previous article we derived a detailed asymptotic expansion of the
heat trace for the Laplace-Beltrami operator on functions on manifolds with
conic singularities. In this article we investigate how the terms in the
expansion reflect the geometry of the manifold. Since the general expansion
contains a logarith... | 0 | 0 | 1 | 0 | 0 | 0 |
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks | In this work, we propose a novel robot learning framework called Neural Task
Programming (NTP), which bridges the idea of few-shot learning from
demonstration and neural program induction. NTP takes as input a task
specification (e.g., video demonstration of a task) and recursively decomposes
it into finer sub-task s... | 1 | 0 | 0 | 0 | 0 | 0 |
Discovery of potential collaboration networks from open knowledge sources | Scientific publishing conveys the outputs of an academic or research
activity, in this sense; it also reflects the efforts and issues in which
people engage. To identify potential collaborative networks one of the simplest
approaches is to leverage the co-authorship relations. In this approach,
semantic and hierarchi... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards Planning and Control of Hybrid Systems with Limit Cycle using LQR Trees | We present a multi-query recovery policy for a hybrid system with goal limit
cycle. The sample trajectories and the hybrid limit cycle of the dynamical
system are stabilized using locally valid Time Varying LQR controller policies
which probabilistically cover a bounded region of state space. The original LQR
Tree al... | 1 | 0 | 0 | 0 | 0 | 0 |
Clustering with t-SNE, provably | t-distributed Stochastic Neighborhood Embedding (t-SNE), a clustering and
visualization method proposed by van der Maaten & Hinton in 2008, has rapidly
become a standard tool in a number of natural sciences. Despite its
overwhelming success, there is a distinct lack of mathematical foundations and
the inner workings ... | 1 | 0 | 0 | 1 | 0 | 0 |
The Observable Properties of Cool Winds from Galaxies, AGN, and Star Clusters. I. Theoretical Framework | Winds arising from galaxies, star clusters, and active galactic nuclei are
crucial players in star and galaxy formation, but it has proven remarkably
difficult to use observations of them to determine physical properties of
interest, particularly mass fluxes. Much of the difficulty stems from a lack of
a theory that ... | 0 | 1 | 0 | 0 | 0 | 0 |
Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition | Neural models enjoy widespread use across a variety of tasks and have grown
to become crucial components of many industrial systems. Despite their
effectiveness and extensive popularity, they are not without their exploitable
flaws. Initially applied to computer vision systems, the generation of
adversarial examples ... | 1 | 0 | 0 | 0 | 0 | 0 |
Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems | In this paper, we propose a novel ranking framework for collaborative
filtering with the overall aim of learning user preferences over items by
minimizing a pairwise ranking loss. We show the minimization problem involves
dependent random variables and provide a theoretical analysis by proving the
consistency of the ... | 1 | 0 | 0 | 1 | 0 | 0 |
On the Sublinear Regret of Distributed Primal-Dual Algorithms for Online Constrained Optimization | This paper introduces consensus-based primal-dual methods for distributed
online optimization where the time-varying system objective function
$f_t(\mathbf{x})$ is given as the sum of local agents' objective functions,
i.e., $f_t(\mathbf{x}) = \sum_i f_{i,t}(\mathbf{x}_i)$, and the system
constraint function $\mathbf... | 0 | 0 | 1 | 0 | 0 | 0 |
Reliability study of proportional odds family of discrete distributions | The proportional odds model gives a method of generating new family of
distributions by adding a parameter, called tilt parameter, to expand an
existing family of distributions. The new family of distributions so obtained
is known as Marshall-Olkin family of distributions or Marshall-Olkin extended
distributions. In ... | 0 | 0 | 1 | 1 | 0 | 0 |
Global Orientifolded Quivers with Inflation | We describe global embeddings of fractional D3 branes at orientifolded
singularities in type IIB flux compactifications. We present an explicit
Calabi-Yau example where the chiral visible sector lives on a local
orientifolded quiver while non-perturbative effects, $\alpha'$ corrections and
a T-brane hidden sector lea... | 0 | 1 | 0 | 0 | 0 | 0 |
Discretization of Springer fibers | Consider a nilpotent element e in a simple complex Lie algebra. The Springer
fibre corresponding to e admits a discretization (discrete analogue) introduced
by the author in 1999. In this paper we propose a conjectural description of
that discretization which is more amenable to computation.
| 0 | 0 | 1 | 0 | 0 | 0 |
On the Underapproximation of Reach Sets of Abstract Continuous-Time Systems | We consider the problem of proving that each point in a given set of states
("target set") can indeed be reached by a given nondeterministic
continuous-time dynamical system from some initial state. We consider this
problem for abstract continuous-time models that can be concretized as various
kinds of continuous and... | 1 | 0 | 0 | 0 | 0 | 0 |
A Bayesian nonparametric approach to log-concave density estimation | The estimation of a log-concave density on $\mathbb{R}$ is a canonical
problem in the area of shape-constrained nonparametric inference. We present a
Bayesian nonparametric approach to this problem based on an exponentiated
Dirichlet process mixture prior and show that the posterior distribution
converges to the log-... | 0 | 0 | 1 | 1 | 0 | 0 |
A Complete Characterization of the 1-Dimensional Intrinsic Cech Persistence Diagrams for Metric Graphs | Metric graphs are special types of metric spaces used to model and represent
simple, ubiquitous, geometric relations in data such as biological networks,
social networks, and road networks. We are interested in giving a qualitative
description of metric graphs using topological summaries. In particular, we
provide a ... | 0 | 0 | 1 | 0 | 0 | 0 |
Critical exponent $ω$ in the Gross-Neveu-Yukawa model at $O(1/N)$ | The critcal exponent $\omega$ is evaluated at $O(1/N)$ in $d$-dimensions in
the Gross-Neveu model using the large $N$ critical point formalism. It is shown
to be in agreement with the recently determined three loop $\beta$-functions of
the Gross-Neveu-Yukawa model in four dimensions. The same exponent is computed
for... | 0 | 1 | 0 | 0 | 0 | 0 |
Path Planning for Multiple Heterogeneous Unmanned Vehicles with Uncertain Service Times | This article presents a framework and develops a formulation to solve a path
planning problem for multiple heterogeneous Unmanned Vehicles (UVs) with
uncertain service times for each vehicle--target pair. The vehicles incur a
penalty proportional to the duration of their total service time in excess of a
preset const... | 1 | 0 | 1 | 0 | 0 | 0 |
Dropout-based Active Learning for Regression | Active learning is relevant and challenging for high-dimensional regression
models when the annotation of the samples is expensive. Yet most of the
existing sampling methods cannot be applied to large-scale problems, consuming
too much time for data processing. In this paper, we propose a fast active
learning algorit... | 0 | 0 | 0 | 1 | 0 | 0 |
Modeling Human Categorization of Natural Images Using Deep Feature Representations | Over the last few decades, psychologists have developed sophisticated formal
models of human categorization using simple artificial stimuli. In this paper,
we use modern machine learning methods to extend this work into the realm of
naturalistic stimuli, enabling human categorization to be studied over the
complex vi... | 1 | 0 | 0 | 1 | 0 | 0 |
BARCHAN: Blob Alignment for Robust CHromatographic ANalysis | Comprehensive Two dimensional gas chromatography (GCxGC) plays a central role
into the elucidation of complex samples. The automation of the identification
of peak areas is of prime interest to obtain a fast and repeatable analysis of
chromatograms. To determine the concentration of compounds or pseudo-compounds,
tem... | 1 | 1 | 0 | 0 | 0 | 0 |
Homogeneity Pursuit in Single Index Models based Panel Data Analysis | Panel data analysis is an important topic in statistics and econometrics.
Traditionally, in panel data analysis, all individuals are assumed to share the
same unknown parameters, e.g. the same coefficients of covariates when the
linear models are used, and the differences between the individuals are
accounted for by ... | 0 | 0 | 1 | 1 | 0 | 0 |
Feeding vs. Falling: The growth and collapse of molecular clouds in a turbulent interstellar medium | In order to understand the origin of observed molecular cloud properties, it
is critical to understand how clouds interact with their environments during
their formation, growth, and collapse. It has been suggested that
accretion-driven turbulence can maintain clouds in a highly turbulent state,
preventing runaway co... | 0 | 1 | 0 | 0 | 0 | 0 |
Complex waveguide based on a magneto-optic layer and a dielectric photonic crystal | We theoretically investigate the dispersion and polarization properties of
the electromagnetic waves in a multi-layered structure composed of a
magneto-optic waveguide on dielectric substrate covered by one-dimensional
dielectric photonic crystal. The numerical analysis of such a complex structure
shows polarization ... | 0 | 1 | 0 | 0 | 0 | 0 |
Discriminants of complete intersection space curves | In this paper, we develop a new approach to the discrimi-nant of a complete
intersection curve in the 3-dimensional projective space. By relying on the
resultant theory, we first prove a new formula that allows us to define this
discrimi-nant without ambiguity and over any commutative ring, in particular in
any chara... | 1 | 0 | 1 | 0 | 0 | 0 |
On the Characteristic and Permanent Polynomials of a Matrix | There is a digraph corresponding to every square matrix over $\mathbb{C}$. We
generate a recurrence relation using the Laplace expansion to calculate the
characteristic, and permanent polynomials of a square matrix. Solving this
recurrence relation, we found that the characteristic, and permanent
polynomials can be c... | 1 | 0 | 0 | 0 | 0 | 0 |
A bulk-boundary correspondence for dynamical phase transitions in one-dimensional topological insulators and superconductors | We study the Loschmidt echo for quenches in open one-dimensional lattice
models with symmetry protected topological phases. For quenches where dynamical
quantum phase transitions do occur we find that cusps in the bulk return rate
at critical times tc are associated with sudden changes in the boundary
contribution. F... | 0 | 1 | 0 | 0 | 0 | 0 |
The Consciousness Prior | A new prior is proposed for representation learning, which can be combined
with other priors in order to help disentangling abstract factors from each
other. It is inspired by the phenomenon of consciousness seen as the formation
of a low-dimensional combination of a few concepts constituting a conscious
thought, i.e... | 1 | 0 | 0 | 1 | 0 | 0 |
Multi-Scale Pipeline for the Search of String-Induced CMB Anisotropies | We propose a multi-scale edge-detection algorithm to search for the
Gott-Kaiser-Stebbins imprints of a cosmic string (CS) network on the Cosmic
Microwave Background (CMB) anisotropies. Curvelet decomposition and extended
Canny algorithm are used to enhance the string detectability. Various
statistical tools are then ... | 0 | 1 | 0 | 1 | 0 | 0 |
A simultaneous generalization of the theorems of Chevalley-Warning and Morlaye | Inspired by recent work of I. Baoulina, we give a simultaneous generalization
of the theorems of Chevalley-Warning and Morlaye.
| 0 | 0 | 1 | 0 | 0 | 0 |
Some Time-changed fractional Poisson processes | In this paper, we study the fractional Poisson process (FPP) time-changed by
an independent Lévy subordinator and the inverse of the Lévy subordinator,
which we call TCFPP-I and TCFPP-II, respectively. Various distributional
properties of these processes are established. We show that, under certain
conditions, the TC... | 0 | 0 | 1 | 0 | 0 | 0 |
Fast algorithm of adaptive Fourier series | Adaptive Fourier decomposition (AFD, precisely 1-D AFD or Core-AFD) was
originated for the goal of positive frequency representations of signals. It
achieved the goal and at the same time offered fast decompositions of signals.
There then arose several types of AFDs. AFD merged with the greedy algorithm
idea, and in ... | 0 | 0 | 1 | 0 | 0 | 0 |
Hybrid Indexes to Expedite Spatial-Visual Search | Due to the growth of geo-tagged images, recent web and mobile applications
provide search capabilities for images that are similar to a given query image
and simultaneously within a given geographical area. In this paper, we focus on
designing index structures to expedite these spatial-visual searches. We start
by ba... | 1 | 0 | 0 | 0 | 0 | 0 |
Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography | Electron Cryo-Tomography (ECT) enables 3D visualization of macromolecule
structure inside single cells. Macromolecule classification approaches based on
convolutional neural networks (CNN) were developed to separate millions of
macromolecules captured from ECT systematically. However, given the fast
accumulation of E... | 0 | 0 | 0 | 1 | 1 | 0 |
Low quasiparticle coherence temperature in the one band-Hubbard model: A slave-boson approach | We use the Kotliar-Ruckenstein slave-boson formalism to study the temperature
dependence of paramagnetic phases of the one-band Hubbard model for a variety
of band structures. We calculate the Fermi liquid quasiparticle spectral weight
$Z$ and identify the temperature at which it decreases significantly to a
crossove... | 0 | 1 | 0 | 0 | 0 | 0 |
A Note on Iterated Consistency and Infinite Proofs | Schmerl and Beklemishev's work on iterated reflection achieves two aims: It
introduces the important notion of $\Pi^0_1$-ordinal, characterizing the
$\Pi^0_1$-theorems of a theory in terms of transfinite iterations of
consistency; and it provides an innovative calculus to compute the
$\Pi^0_1$-ordinals for a range of... | 0 | 0 | 1 | 0 | 0 | 0 |
Turning Internet of Things(IoT) into Internet of Vulnerabilities (IoV) : IoT Botnets | Internet of Things (IoT) is the next big evolutionary step in the world of
internet. The main intention behind the IoT is to enable safer living and risk
mitigation on different levels of life. With the advent of IoT botnets, the
view towards IoT devices has changed from enabler of enhanced living into
Internet of vu... | 1 | 0 | 0 | 0 | 0 | 0 |
Cwikel estimates revisited | In this paper, we propose a new approach to Cwikel estimates both for the
Euclidean space and for the noncommutative Euclidean space.
| 0 | 0 | 1 | 0 | 0 | 0 |
Smooth Pinball Neural Network for Probabilistic Forecasting of Wind Power | Uncertainty analysis in the form of probabilistic forecasting can
significantly improve decision making processes in the smart power grid for
better integrating renewable energy sources such as wind. Whereas point
forecasting provides a single expected value, probabilistic forecasts provide
more information in the fo... | 0 | 0 | 0 | 1 | 0 | 0 |
Asynchronous Coordinate Descent under More Realistic Assumptions | Asynchronous-parallel algorithms have the potential to vastly speed up
algorithms by eliminating costly synchronization. However, our understanding to
these algorithms is limited because the current convergence of asynchronous
(block) coordinate descent algorithms are based on somewhat unrealistic
assumptions. In par... | 0 | 0 | 1 | 0 | 0 | 0 |
Zero-temperature magnetic response of small fullerene molecules at the classical and full quantum limit | The ground-state magnetic response of fullerene molecules with up to 36
vertices is calculated, when spins classical or with magnitude $s=\frac{1}{2}$
are located on their vertices and interact according to the nearest-neighbor
antiferromagnetic Heisenberg model. The frustrated topology, which originates
in the penta... | 0 | 1 | 0 | 0 | 0 | 0 |
Stochastic Chemical Reaction Networks for Robustly Approximating Arbitrary Probability Distributions | We show that discrete distributions on the $d$-dimensional non-negative
integer lattice can be approximated arbitrarily well via the marginals of
stationary distributions for various classes of stochastic chemical reaction
networks. We begin by providing a class of detailed balanced networks and prove
that they can a... | 0 | 0 | 0 | 0 | 1 | 0 |
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes | The incorporation of macro-actions (temporally extended actions) into
multi-agent decision problems has the potential to address the curse of
dimensionality associated with such decision problems. Since macro-actions last
for stochastic durations, multiple agents executing decentralized policies in
cooperative enviro... | 1 | 0 | 0 | 0 | 0 | 0 |
Early Salient Region Selection Does Not Drive Rapid Visual Categorization | The current dominant visual processing paradigm in both human and machine
research is the feedforward, layered hierarchy of neural-like processing
elements. Within this paradigm, visual saliency is seen by many to have a
specific role, namely that of early selection. Early selection is thought to
enable very fast vis... | 0 | 0 | 0 | 0 | 1 | 0 |
Bonsai: Synthesis-Based Reasoning for Type Systems | We describe algorithms for symbolic reasoning about executable models of type
systems, supporting three queries intended for designers of type systems.
First, we check for type soundness bugs and synthesize a counterexample program
if such a bug is found. Second, we compare two versions of a type system,
synthesizing... | 1 | 0 | 0 | 0 | 0 | 0 |
Preference-based performance measures for Time-Domain Global Similarity method | For Time-Domain Global Similarity (TDGS) method, which transforms the data
cleaning problem into a binary classification problem about the physical
similarity between channels, directly adopting common performance measures
could only guarantee the performance for physical similarity. Nevertheless,
practical data clea... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Prospects for Detecting a Net Photon Circular Polarization Produced by Decaying Dark Matter | If dark matter interactions with Standard Model particles are $CP$-violating,
then dark matter annihilation/decay can produce photons with a net circular
polarization. We consider the prospects for experimentally detecting evidence
for such a circular polarization. We identify optimal models for dark matter
interacti... | 0 | 1 | 0 | 0 | 0 | 0 |
Are Bitcoin Bubbles Predictable? Combining a Generalized Metcalfe's Law and the LPPLS Model | We develop a strong diagnostic for bubbles and crashes in bitcoin, by
analyzing the coincidence (and its absence) of fundamental and technical
indicators. Using a generalized Metcalfe's law based on network properties, a
fundamental value is quantified and shown to be heavily exceeded, on at least
four occasions, by ... | 0 | 0 | 0 | 0 | 0 | 1 |
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