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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An Online Hierarchical Algorithm for Extreme Clustering | Many modern clustering methods scale well to a large number of data items, N,
but not to a large number of clusters, K. This paper introduces PERCH, a new
non-greedy algorithm for online hierarchical clustering that scales to both
massive N and K--a problem setting we term extreme clustering. Our algorithm
efficientl... | 1 | 0 | 0 | 1 | 0 | 0 |
Wave and Dirac equations on manifolds | We review some recent results on geometric equations on Lorentzian manifolds
such as the wave and Dirac equations. This includes well-posedness and
stability for various initial value problems, as well as results on the
structure of these equations on black-hole spacetimes (in particular, on the
Kerr solution), the i... | 0 | 0 | 1 | 0 | 0 | 0 |
The Efimov effect for heteronuclear three-body systems at positive scattering length and finite temperature | We study the recombination process of three atoms scattering into an atom and
diatomic molecule in heteronuclear mixtures of ultracold atomic gases with
large and positive interspecies scattering length at finite temperature. We
calculate the temperature dependence of the three-body recombination rates by
extracting ... | 0 | 1 | 0 | 0 | 0 | 0 |
Mean-Field Controllability and Decentralized Stabilization of Markov Chains, Part II: Asymptotic Controllability and Polynomial Feedbacks | This paper, the second of a two-part series, presents a method for mean-field
feedback stabilization of a swarm of agents on a finite state space whose time
evolution is modeled as a continuous time Markov chain (CTMC). The resulting
(mean-field) control problem is that of controlling a nonlinear system with
desired ... | 1 | 0 | 1 | 0 | 0 | 0 |
The kinematics of σ-drop bulges from spectral synthesis modelling of a hydrodynamical simulation | A minimum in stellar velocity dispersion is often observed in the central
regions of disc galaxies. To investigate the origin of this feature, known as a
{\sigma}-drop, we analyse the stellar kinematics of a high-resolution N-body +
smooth particle hydrodynamical simulation, which models the secular evolution
of an u... | 0 | 1 | 0 | 0 | 0 | 0 |
Algorithms and Architecture for Real-time Recommendations at News UK | Recommendation systems are recognised as being hugely important in industry,
and the area is now well understood. At News UK, there is a requirement to be
able to quickly generate recommendations for users on news items as they are
published. However, little has been published about systems that can generate
recommen... | 1 | 0 | 0 | 0 | 0 | 0 |
A Physics Tragedy | The measurement problem and three other vexing experiments in quantum physics
are described. It is shown how Quantum Field Theory, as formulated by Julian
Schwinger, provides simple solutions for all four experiments. It is also shown
how this theory resolves many other problems of Quantum Mechanics and
Relativity, i... | 0 | 1 | 0 | 0 | 0 | 0 |
Dynamical Mass Generation in Pseudo Quantum Electrodynamics with Four-Fermion Interactions | We describe dynamical symmetry breaking in a system of massless Dirac
fermions with both electromagnetic and four-fermion interactions in (2+1)
dimensions. The former is described by the Pseudo Quantum Electrodynamics
(PQED) and the latter is given by the so-called Gross-Neveu action. We apply
the Hubbard-Stratonovic... | 0 | 1 | 0 | 0 | 0 | 0 |
Computational Methods for Path-based Robust Flows | Real world networks are often subject to severe uncertainties which need to
be addressed by any reliable prescriptive model. In the context of the maximum
flow problem subject to arc failure, robust models have gained particular
attention. For a path-based model, the resulting optimization problem is
assumed to be di... | 1 | 0 | 1 | 0 | 0 | 0 |
A game theoretic approach to a network cloud storage problem | The use of game theory in the design and control of large scale networked
systems is becoming increasingly more important. In this paper, we follow this
approach to efficiently solve a network allocation problem motivated by
peer-to- peer cloud storage models as alternatives to classical centralized
cloud storage ser... | 1 | 0 | 1 | 0 | 0 | 0 |
A Survey of the State-of-the-Art Parallel Multiple Sequence Alignment Algorithms on Multicore Systems | Evolutionary modeling applications are the best way to provide full
information to support in-depth understanding of evaluation of organisms. These
applications mainly depend on identifying the evolutionary history of existing
organisms and understanding the relations between them, which is possible
through the deep ... | 0 | 0 | 0 | 0 | 1 | 0 |
Learning Wasserstein Embeddings | The Wasserstein distance received a lot of attention recently in the
community of machine learning, especially for its principled way of comparing
distributions. It has found numerous applications in several hard problems,
such as domain adaptation, dimensionality reduction or generative models.
However, its use is s... | 1 | 0 | 0 | 1 | 0 | 0 |
Contextual Stochastic Block Models | We provide the first information theoretic tight analysis for inference of
latent community structure given a sparse graph along with high dimensional
node covariates, correlated with the same latent communities. Our work bridges
recent theoretical breakthroughs in the detection of latent community structure
without ... | 1 | 0 | 0 | 1 | 0 | 0 |
Tensor Regression Meets Gaussian Processes | Low-rank tensor regression, a new model class that learns high-order
correlation from data, has recently received considerable attention. At the
same time, Gaussian processes (GP) are well-studied machine learning models for
structure learning. In this paper, we demonstrate interesting connections
between the two, es... | 1 | 0 | 0 | 1 | 0 | 0 |
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition | The Canonical Polyadic decomposition (CPD) is a convenient and intuitive tool
for tensor factorization; however, for higher-order tensors, it often exhibits
high computational cost and permutation of tensor entries, these undesirable
effects grow exponentially with the tensor order. Prior compression of tensor
in-han... | 1 | 0 | 0 | 0 | 0 | 0 |
Social Learning and Diffusion of Pervasive Goods: An Empirical Study of an African App Store | In this study, the authors develop a structural model that combines a macro
diffusion model with a micro choice model to control for the effect of social
influence on the mobile app choices of customers over app stores. Social
influence refers to the density of adopters within the proximity of other
customers. Using ... | 1 | 0 | 0 | 1 | 0 | 0 |
Dynamic correlations at different time-scales with Empirical Mode Decomposition | The Empirical Mode Decomposition (EMD) provides a tool to characterize time
series in terms of its implicit components oscillating at different
time-scales. We apply this decomposition to intraday time series of the
following three financial indices: the S\&P 500 (USA), the IPC (Mexico) and the
VIX (volatility index ... | 1 | 0 | 0 | 0 | 0 | 0 |
Order-disorder transitions in lattice gases with annealed reactive constraints | We study equilibrium properties of catalytically-activated $A + A \to
\oslash$ reactions taking place on a lattice of adsorption sites. The particles
undergo continuous exchanges with a reservoir maintained at a constant chemical
potential $\mu$ and react when they appear at the neighbouring sites, provided
that some... | 0 | 1 | 0 | 0 | 0 | 0 |
Spherical CNNs | Convolutional Neural Networks (CNNs) have become the method of choice for
learning problems involving 2D planar images. However, a number of problems of
recent interest have created a demand for models that can analyze spherical
images. Examples include omnidirectional vision for drones, robots, and
autonomous cars, ... | 0 | 0 | 0 | 1 | 0 | 0 |
The Kelvin-Helmholtz instability in the Orion nebula: The effect of radiation pressure | The recent observations of rippled structures on the surface of the Orion
molecular cloud (Berné et al. 2010), have been attributed to the
Kelvin-Helmholtz (KH) instability. The wavelike structures which have mainly
seen near star-forming regions taking place at the interface between the hot
diffuse gas, which is ion... | 0 | 1 | 0 | 0 | 0 | 0 |
Holography and Koszul duality: the example of the $M2$ brane | Si Li and author suggested in that, in some cases, the AdS/CFT correspondence
can be formulated in terms of the algebraic operation of Koszul duality. In
this paper this suggestion is checked explicitly for $M2$ branes in an
$\Omega$-background. The algebra of supersymmetric operators on a stack of $K$
$M2$ branes is... | 0 | 0 | 1 | 0 | 0 | 0 |
Uniqueness of the power of a meromorphic functions with its differential polynomial sharing a set | This paper is devoted to the uniqueness problem of the power of a meromorphic
function with its differential polynomial sharing a set. Our result will extend
a number of results obtained in the theory of normal families. Some questions
are posed for future research.
| 0 | 0 | 1 | 0 | 0 | 0 |
Link between the Superconducting Dome and Spin-Orbit Interaction in the (111) LaAlO$_3$/SrTiO$_3$ Interface | We measure the gate voltage ($V_g$) dependence of the superconducting
properties and the spin-orbit interaction in the (111)-oriented
LaAlO$_3$/SrTiO$_3$ interface. Superconductivity is observed in a dome-shaped
region in the carrier density-temperature phase diagram with the maxima of
superconducting transition temp... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Dynamics of Deterministic Epidemic Propagation over Networks | In this work we review a class of deterministic nonlinear models for the
propagation of infectious diseases over contact networks with
strongly-connected topologies. We consider network models for
susceptible-infected (SI), susceptible-infected-susceptible (SIS), and
susceptible-infected-recovered (SIR) settings. In ... | 1 | 1 | 1 | 0 | 0 | 0 |
Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification | Text-dependent speaker verification is becoming popular in the speaker
recognition society. However, the conventional i-vector framework which has
been successful for speaker identification and other similar tasks works
relatively poorly in this task. Researchers have proposed several new methods
to improve performan... | 1 | 0 | 0 | 0 | 0 | 0 |
Estimation of lactate threshold with machine learning techniques in recreational runners | Lactate threshold is considered an essential parameter when assessing
performance of elite and recreational runners and prescribing training
intensities in endurance sports. However, the measurement of blood lactate
concentration requires expensive equipment and the extraction of blood samples,
which are inconvenient... | 0 | 0 | 0 | 1 | 0 | 0 |
A Coin-Tossing Conundrum | It is shown that an equiprobability hypothesis leads to a scenario in which
it is possible to predict the outcome of a single toss of a fair coin with a
success probability greater than 50%. We discuss whether this hypothesis might
be independent of the usual hypotheses governing probability, as well as
whether this ... | 0 | 0 | 0 | 1 | 0 | 0 |
Meridian Surfaces on Rotational Hypersurfaces with Lightlike Axis in ${\mathbb E}^4_2$ | We construct a special class of Lorentz surfaces in the pseudo-Euclidean
4-space with neutral metric which are one-parameter systems of meridians of
rotational hypersurfaces with lightlike axis and call them meridian surfaces.
We give the complete classification of the meridian surfaces with constant
Gauss curvature ... | 0 | 0 | 1 | 0 | 0 | 0 |
Hybrid Optimization Method for Reconfiguration of AC/DC Microgrids in All-Electric Ships | Since the limited power capacity, finite inertia, and dynamic loads make the
shipboard power system (SPS) vulnerable, the automatic reconfiguration for
failure recovery in SPS is an extremely significant but still challenging
problem. It is not only required to operate accurately and optimally, but also
to satisfy op... | 1 | 0 | 0 | 0 | 0 | 0 |
Looking at Outfit to Parse Clothing | This paper extends fully-convolutional neural networks (FCN) for the clothing
parsing problem. Clothing parsing requires higher-level knowledge on clothing
semantics and contextual cues to disambiguate fine-grained categories. We
extend FCN architecture with a side-branch network which we refer outfit
encoder to pred... | 1 | 0 | 0 | 0 | 0 | 0 |
Mermin-Wagner physics, (H,T) phase diagram, and candidate quantum spin-liquid phase in the spin-1/2 triangular-lattice antiferromagnet Ba8CoNb6O24 | Ba$_8$CoNb$_6$O$_{24}$ presents a system whose Co$^{2+}$ ions have an
effective spin 1/2 and construct a regular triangular-lattice antiferromagnet
(TLAFM) with a very large interlayer spacing, ensuring purely two-dimensional
character. We exploit this ideal realization to perform a detailed experimental
analysis of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Most Complex Non-Returning Regular Languages | A regular language $L$ is non-returning if in the minimal deterministic
finite automaton accepting it there are no transitions into the initial state.
Eom, Han and Jirásková derived upper bounds on the state complexity of
boolean operations and Kleene star, and proved that these bounds are tight
using two different b... | 1 | 0 | 0 | 0 | 0 | 0 |
ArtGAN: Artwork Synthesis with Conditional Categorical GANs | This paper proposes an extension to the Generative Adversarial Networks
(GANs), namely as ARTGAN to synthetically generate more challenging and complex
images such as artwork that have abstract characteristics. This is in contrast
to most of the current solutions that focused on generating natural images such
as room... | 1 | 0 | 0 | 0 | 0 | 0 |
Polynomial bound for the nilpotency index of finitely generated nil algebras | Working over an infinite field of positive characteristic, an upper bound is
given for the nilpotency index of a finitely generated nil algebra of bounded
nil index $n$ in terms of the maximal degree in a minimal homogenous generating
system of the ring of simultaneous conjugation invariants of tuples of $n$ by
$n$ m... | 0 | 0 | 1 | 0 | 0 | 0 |
CFAAR: Control Flow Alteration to Assist Repair | We present CFAAR, a program repair assistance technique that operates by
selectively altering the outcome of suspicious predicates in order to yield
expected behavior. CFAAR is applicable to defects that are repairable by
negating predicates under specific conditions. CFAAR proceeds as follows: 1) it
identifies predi... | 1 | 0 | 0 | 0 | 0 | 0 |
Cross-Sentence N-ary Relation Extraction with Graph LSTMs | Past work in relation extraction has focused on binary relations in single
sentences. Recent NLP inroads in high-value domains have sparked interest in
the more general setting of extracting n-ary relations that span multiple
sentences. In this paper, we explore a general relation extraction framework
based on graph ... | 1 | 0 | 0 | 0 | 0 | 0 |
Community Interaction and Conflict on the Web | Users organize themselves into communities on web platforms. These
communities can interact with one another, often leading to conflicts and toxic
interactions. However, little is known about the mechanisms of interactions
between communities and how they impact users.
Here we study intercommunity interactions across... | 1 | 0 | 0 | 0 | 0 | 0 |
Recurrence network measures for hypothesis testing using surrogate data: application to black hole light curves | Recurrence networks and the associated statistical measures have become
important tools in the analysis of time series data. In this work, we test how
effective the recurrence network measures are in analyzing real world data
involving two main types of noise, white noise and colored noise. We use two
prominent netwo... | 0 | 1 | 0 | 0 | 0 | 0 |
Diffraction-limited plenoptic imaging with correlated light | Traditional optical imaging faces an unavoidable trade-off between resolution
and depth of field (DOF). To increase resolution, high numerical apertures (NA)
are needed, but the associated large angular uncertainty results in a limited
range of depths that can be put in sharp focus. Plenoptic imaging was
introduced a... | 0 | 1 | 0 | 0 | 0 | 0 |
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics | Complex performance measures, beyond the popular measure of accuracy, are
increasingly being used in the context of binary classification. These complex
performance measures are typically not even decomposable, that is, the loss
evaluated on a batch of samples cannot typically be expressed as a sum or
average of loss... | 0 | 0 | 0 | 1 | 0 | 0 |
Learning from Noisy Label Distributions | In this paper, we consider a novel machine learning problem, that is,
learning a classifier from noisy label distributions. In this problem, each
instance with a feature vector belongs to at least one group. Then, instead of
the true label of each instance, we observe the label distribution of the
instances associate... | 1 | 0 | 0 | 1 | 0 | 0 |
Commissioning of FLAG: A phased array feed for the GBT | Phased Array Feed (PAF) technology is the next major advancement in radio
astronomy in terms of combining high sensitivity and large field of view. The
Focal L-band Array for the Green Bank Telescope (FLAG) is one of the most
sensitive PAFs developed so far. It consists of 19 dual-polarization elements
mounted on a p... | 0 | 1 | 0 | 0 | 0 | 0 |
Arithmetic representations of fundamental groups I | Let $X$ be a normal algebraic variety over a finitely generated field $k$ of
characteristic zero, and let $\ell$ be a prime. Say that a continuous
$\ell$-adic representation $\rho$ of $\pi_1^{\text{ét}}(X_{\bar k})$ is
arithmetic if there exists a representation $\tilde \rho$ of a finite index
subgroup of $\pi_1^{\te... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimization over Degree Sequences | We introduce and study the problem of optimizing arbitrary functions over
degree sequences of hypergraphs and multihypergraphs. We show that over
multihypergraphs the problem can be solved in polynomial time. For hypergraphs,
we show that deciding if a given sequence is the degree sequence of a
3-hypergraph is NP-com... | 1 | 0 | 1 | 0 | 0 | 0 |
Interferometric Monitoring of Gamma-ray Bright AGNs: S5 0716+714 | We present the results of very long baseline interferometry (VLBI)
observations of gamma-ray bright blazar S5 0716+714 using the Korean VLBI
Network (KVN) at the 22, 43, 86, and 129 GHz bands, as part of the
Interferometric Monitoring of Gamma-ray Bright AGNs (iMOGABA) KVN key science
program. Observations were condu... | 0 | 1 | 0 | 0 | 0 | 0 |
Parabolic equations with natural growth approximated by nonlocal equations | In this paper we study several aspects related with solutions of nonlocal
problems whose prototype is $$ u_t =\displaystyle \int_{\mathbb{R}^N} J(x-y)
\big( u(y,t) -u(x,t) \big) \mathcal G\big( u(y,t) -u(x,t) \big) dy \qquad
\mbox{ in } \, \Omega \times (0,T)\,, $$ being $ u (x,t)=0 \mbox{ in }
(\mathbb{R}^N\setminus... | 0 | 0 | 1 | 0 | 0 | 0 |
Excitonic gap generation in thin-film topological insulators | In this work, we analyze the excitonic gap generation in the strong-coupling
regime of thin films of three-dimensional time-reversal-invariant topological
insulators. We start by writing down the effective gauge theory in
2+1-dimensions from the projection of the 3+1-dimensional quantum
electrodynamics. Within this m... | 0 | 1 | 0 | 0 | 0 | 0 |
Constructive Preference Elicitation over Hybrid Combinatorial Spaces | Preference elicitation is the task of suggesting a highly preferred
configuration to a decision maker. The preferences are typically learned by
querying the user for choice feedback over pairs or sets of objects. In its
constructive variant, new objects are synthesized "from scratch" by maximizing
an estimate of the ... | 1 | 0 | 0 | 0 | 0 | 0 |
Ginzburg-Landau equations on Riemann surfaces of higher genus | We study the Ginzburg-Landau equations on Riemann surfaces of arbitrary
genus. In particular: we explicitly construct the (local moduli space of
gauge-equivalent) solutions in a neighbourhood of a constant curvature branch
of solutions; in linearizing the problem, we find a relation with de Rham
cohomology groups of ... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Hamming Auto- and Cross-correlation Functions of a Class of Frequency Hopping Sequences of Length $ p^{n} $ | In this paper, a new class of frequency hopping sequences (FHSs) of length $
p^{n} $ is constructed by using Ding-Helleseth generalized cyclotomic classes
of order 2, of which the Hamming auto- and cross-correlation functions are
investigated (for the Hamming cross-correlation, only the case $ p\equiv 3\pmod
4 $ is c... | 1 | 0 | 0 | 0 | 0 | 0 |
Scikit-Multiflow: A Multi-output Streaming Framework | Scikit-multiflow is a multi-output/multi-label and stream data mining
framework for the Python programming language. Conceived to serve as a platform
to encourage democratization of stream learning research, it provides multiple
state of the art methods for stream learning, stream generators and evaluators.
scikit-mu... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows | Distributed computing platforms provide a robust mechanism to perform
large-scale computations by splitting the task and data among multiple
locations, possibly located thousands of miles apart geographically. Although
such distribution of resources can lead to benefits, it also comes with its
associated problems suc... | 1 | 0 | 0 | 0 | 0 | 0 |
The Rational Sectional Category of Certain Universal Fibrations | We prove that the sectional category of the universal fibration with fibre X,
for X any space that satisfies a well-known conjecture of Halperin, equals one
after rationalization.
| 0 | 0 | 1 | 0 | 0 | 0 |
Characterising exo-ringsystems around fast-rotating stars using the Rossiter-McLaughlin effect | Planetary rings produce a distinct shape distortion in transit lightcurves.
However, to accurately model such lightcurves the observations need to cover
the entire transit, especially ingress and egress, as well as an out-of-transit
baseline. Such observations can be challenging for long period planets, where
the tra... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning a Generative Model of Cancer Metastasis | We introduce a Unified Disentanglement Network (UFDN) trained on The Cancer
Genome Atlas (TCGA). We demonstrate that the UFDN learns a biologically
relevant latent space of gene expression data by applying our network to two
classification tasks of cancer status and cancer type. Our UFDN specific
algorithms perform c... | 0 | 0 | 0 | 0 | 1 | 0 |
Joint User Selection and Energy Minimization for Ultra-Dense Multi-channel C-RAN with Incomplete CSI | This paper provides a unified framework to deal with the challenges arising
in dense cloud radio access networks (C-RAN), which include huge power
consumption, limited fronthaul capacity, heavy computational complexity,
unavailability of full channel state information (CSI), etc. Specifically, we
aim to jointly optim... | 1 | 0 | 0 | 0 | 0 | 0 |
On Sidorenko's conjecture for determinants and Gaussian Markov random fields | We study a class of determinant inequalities that are closely related to
Sidorenko's famous conjecture (Also conjectured by Erd\H os and Simonovits in a
different form). Our results can also be interpreted as entropy inequalities
for Gaussian Markov random fields (GMRF). We call a GMRF on a finite graph $G$
homogeneo... | 0 | 0 | 1 | 0 | 0 | 0 |
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations | Power grids are critical infrastructure assets that face non-technical losses
(NTL) such as electricity theft or faulty meters. NTL may range up to 40% of
the total electricity distributed in emerging countries. Industrial NTL
detection systems are still largely based on expert knowledge when deciding
whether to carr... | 1 | 0 | 0 | 0 | 0 | 0 |
A model of reward-modulated motor learning with parallelcortical and basal ganglia pathways | Many recent studies of the motor system are divided into two distinct
approaches: Those that investigate how motor responses are encoded in cortical
neurons' firing rate dynamics and those that study the learning rules by which
mammals and songbirds develop reliable motor responses. Computationally, the
first approac... | 0 | 0 | 0 | 0 | 1 | 0 |
A de Sitter limit analysis for dark energy and modified gravity models | The effective field theory of dark energy and modified gravity is supposed to
well describe, at low energies, the behaviour of the gravity modifications due
to one extra scalar degree of freedom. The usual curvature perturbation is very
useful when studying the conditions for the avoidance of ghost instabilities as
w... | 0 | 1 | 0 | 0 | 0 | 0 |
Empirical Analysis on Comparing the Performance of Alpha Miner Algorithm in SQL Query Language and NoSQL Column-Oriented Databases Using Apache Phoenix | Process-Aware Information Systems (PAIS) is an IT system that support
business processes and generate large amounts of event logs from the execution
of business processes. An event log is represented as a tuple of CaseID,
Timestamp, Activity and Actor. Process Mining is a new and emerging field that
aims at analyzing... | 1 | 0 | 0 | 0 | 0 | 0 |
Cross-modal Deep Metric Learning with Multi-task Regularization | DNN-based cross-modal retrieval has become a research hotspot, by which users
can search results across various modalities like image and text. However,
existing methods mainly focus on the pairwise correlation and reconstruction
error of labeled data. They ignore the semantically similar and dissimilar
constraints b... | 1 | 0 | 0 | 1 | 0 | 0 |
$W$-entropy formulas on super Ricci flows and Langevin deformation on Wasserstein space over Riemannian manifolds | In this survey paper, we give an overview of our recent works on the study of
the $W$-entropy for the heat equation associated with the Witten Laplacian on
super-Ricci flows and the Langevin deformation on Wasserstein space over
Riemannian manifolds. Inspired by Perelman's seminal work on the entropy
formula for the ... | 0 | 0 | 1 | 0 | 0 | 0 |
Cancellable elements of the lattice of semigroup varieties | We completely determine all commutative semigroup varieties that are
cancellable elements of the lattice SEM of all semigroup varieties. In
particular, we prove that, for commutative varieties, the properties of being
cancellable and modular elements of SEM are equivalent.
| 0 | 0 | 1 | 0 | 0 | 0 |
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs | The availability of large scale event data with time stamps has given rise to
dynamically evolving knowledge graphs that contain temporal information for
each edge. Reasoning over time in such dynamic knowledge graphs is not yet well
understood. To this end, we present Know-Evolve, a novel deep evolutionary
knowledge... | 1 | 0 | 0 | 0 | 0 | 0 |
Mechanisms of dimensionality reduction and decorrelation in deep neural networks | Deep neural networks are widely used in various domains. However, the nature
of computations at each layer of the deep networks is far from being well
understood. Increasing the interpretability of deep neural networks is thus
important. Here, we construct a mean-field framework to understand how compact
representati... | 1 | 0 | 0 | 1 | 0 | 0 |
Detecting Strong Ties Using Network Motifs | Detecting strong ties among users in social and information networks is a
fundamental operation that can improve performance on a multitude of
personalization and ranking tasks. Strong-tie edges are often readily obtained
from the social network as users often participate in multiple overlapping
networks via features... | 1 | 1 | 0 | 0 | 0 | 0 |
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly | In many machine learning applications, it is important to explain the
predictions of a black-box classifier. For example, why does a deep neural
network assign an image to a particular class? We cast interpretability of
black-box classifiers as a combinatorial maximization problem and propose an
efficient streaming a... | 1 | 0 | 0 | 1 | 0 | 0 |
Staging superstructures in high-$T_c$ Sr/O co-doped La$_{2-x}$Sr$_x$CuO$_{4+y}$ | We present high energy X-ray diffraction studies on the structural phases of
an optimal high-$T_c$ superconductor La$_{2-x}$Sr$_x$CuO$_{4+y}$ tailored by
co-hole-doping. This is specifically done by varying the content of two very
different chemical species, Sr and O, respectively, in order to study the
influence of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Interface magnetism and electronic structure: ZnO(0001)/Co3O4(111) | We have studied the structural, electronic and magnetic properties of spinel
$\rm Co_3O_4$(111) surfaces and their interfaces with ZnO (0001) using density
functional theory (DFT) within the Generalized Gradient Approximation with
on-site Coulomb repulsion term (GGA+U). Two possible forms of spinel surface,
containin... | 0 | 1 | 0 | 0 | 0 | 0 |
Bloch-type spaces and extended Cesàro operators in the unit ball of a complex Banach space | Let $\mathbb{B}$ be the unit ball of a complex Banach space $X$. In this
paper, we will generalize the Bloch-type spaces and the little Bloch-type
spaces to the open unit ball $\mathbb{B}$ by using the radial derivative. Next,
we define an extended Cesàro operator $T_{\varphi}$ with holomorphic symbol
$\varphi$ and c... | 0 | 0 | 1 | 0 | 0 | 0 |
Alchemist: An Apache Spark <=> MPI Interface | The Apache Spark framework for distributed computation is popular in the data
analytics community due to its ease of use, but its MapReduce-style programming
model can incur significant overheads when performing computations that do not
map directly onto this model. One way to mitigate these costs is to off-load
comp... | 0 | 0 | 0 | 1 | 0 | 0 |
Compositional (In)Finite Abstractions for Large-Scale Interconnected Stochastic Systems | This paper is concerned with a compositional approach for constructing both
infinite (reduced-order models) and finite abstractions (a.k.a. finite Markov
decision processes) of large-scale interconnected discrete-time stochastic
control systems. The proposed framework is based on the notion of stochastic
simulation f... | 1 | 0 | 0 | 0 | 0 | 0 |
Infinitely generated symbolic Rees algebras over finite fields | For the polynomial ring over an arbitrary field with twelve variables, there
exists a prime ideal whose symbolic Rees algebra is not finitely generated.
| 0 | 0 | 1 | 0 | 0 | 0 |
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models | Deep generative neural networks have proven effective at both conditional and
unconditional modeling of complex data distributions. Conditional generation
enables interactive control, but creating new controls often requires expensive
retraining. In this paper, we develop a method to condition generation without
retr... | 1 | 0 | 0 | 1 | 0 | 0 |
Characterization of Zinc oxide & Aluminum Ferrite and Simulation studies of M-H plots of Cobalt/Cobaltoxide | Zinc oxide and Aluminum Ferrite were prepared Chemical route. The samples
were characterized by XRD and VSM. Simulation of M-H plots of Co/CoO thin films
were performed. Effect of parameters was observed on saturation magnetization.
| 0 | 1 | 0 | 0 | 0 | 0 |
Poisson Structures and Potentials | We introduce a notion of weakly log-canonical Poisson structures on positive
varieties with potentials. Such a Poisson structure is log-canonical up to
terms dominated by the potential. To a compatible real form of a weakly
log-canonical Poisson variety we assign an integrable system on the product of
a certain real ... | 0 | 0 | 1 | 0 | 0 | 0 |
The closure of ideals of $\boldsymbol{\ell^1(Σ)}$ in its enveloping $\boldsymbol{\mathrm{C}^\ast}$-algebra | If $X$ is a compact Hausdorff space and $\sigma$ is a homeomorphism of $X$,
then an involutive Banach algebra $\ell^1(\Sigma)$ of crossed product type is
naturally associated with the topological dynamical system $\Sigma=(X,\sigma)$.
We initiate the study of the relation between two-sided ideals of
$\ell^1(\Sigma)$ a... | 0 | 0 | 1 | 0 | 0 | 0 |
An alternative quadratic formula | The classical quadratic formula and some of its lesser known variants for
solving the quadratic equation are reviewed. Then, a new formula for the roots
of a quadratic polynomial is presented.
| 0 | 0 | 1 | 0 | 0 | 0 |
Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement | In this paper, we present a gated convolutional recurrent neural network
based approach to solve task 4, large-scale weakly labelled semi-supervised
sound event detection in domestic environments, of the DCASE 2018 challenge.
Gated linear units and a temporal attention layer are used to predict the onset
and offset o... | 1 | 0 | 0 | 0 | 0 | 0 |
Inflationary $α$-attractor cosmology: A global dynamical systems perspective | We study flat FLRW $\alpha$-attractor $\mathrm{E}$- and $\mathrm{T}$-models
by introducing a dynamical systems framework that yields regularized
unconstrained field equations on two-dimensional compact state spaces. This
results in both illustrative figures and a complete description of the entire
solution spaces of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Symmetric Convex Sets with Minimal Gaussian Surface Area | Let $\Omega\subset\mathbb{R}^{n+1}$ have minimal Gaussian surface area among
all sets satisfying $\Omega=-\Omega$ with fixed Gaussian volume. Let $A=A_{x}$
be the second fundamental form of $\partial\Omega$ at $x$, i.e. $A$ is the
matrix of first order partial derivatives of the unit normal vector at
$x\in\partial\Om... | 1 | 0 | 1 | 0 | 0 | 0 |
Advancements in Continuum Approximation Models for Logistics and Transportation Systems: 1996 - 2016 | Continuum Approximation (CA) is an efficient and parsimonious technique for
modeling complex logistics problems. In this paper,we review recent studies
that develop CA models for transportation, distribution and logistics problems
with the aim of synthesizing recent advancements and identifying current
research gaps.... | 0 | 0 | 1 | 0 | 0 | 0 |
On a free boundary problem and minimal surfaces | From minimal surfaces such as Simons' cone and catenoids, using refined
Lyapunov-Schmidt reduction method, we construct new solutions for a free
boundary problem whose free boundary has two components. In dimension $8$,
using variational arguments, we also obtain solutions which are global
minimizers of the correspon... | 0 | 0 | 1 | 0 | 0 | 0 |
Storing and retrieving long-term memories: cooperation and competition in synaptic dynamics | We first review traditional approaches to memory storage and formation,
drawing on the literature of quantitative neuroscience as well as statistical
physics. These have generally focused on the fast dynamics of neurons; however,
there is now an increasing emphasis on the slow dynamics of synapses, whose
weight chang... | 0 | 0 | 0 | 0 | 1 | 0 |
An algorithm for removing sensitive information: application to race-independent recidivism prediction | Predictive modeling is increasingly being employed to assist human
decision-makers. One purported advantage of replacing or augmenting human
judgment with computer models in high stakes settings-- such as sentencing,
hiring, policing, college admissions, and parole decisions-- is the perceived
"neutrality" of compute... | 0 | 0 | 0 | 1 | 0 | 0 |
A Question Answering Approach to Emotion Cause Extraction | Emotion cause extraction aims to identify the reasons behind a certain
emotion expressed in text. It is a much more difficult task compared to emotion
classification. Inspired by recent advances in using deep memory networks for
question answering (QA), we propose a new approach which considers emotion
cause identifi... | 1 | 0 | 0 | 0 | 0 | 0 |
Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting | Machine Learning on graph-structured data is an important and omnipresent
task for a vast variety of applications including anomaly detection and dynamic
network analysis. In this paper, a deep generative model is introduced to
capture continuous probability densities corresponding to the nodes of an
arbitrary graph.... | 0 | 0 | 0 | 1 | 0 | 0 |
Quasisymmetrically co-Hopfian Sierpiński Spaces and Menger Curve | A metric space $X$ is quasisymmetrically co-Hopfian if every quasisymmetric
embedding of $X$ into itself is onto. We construct the first examples of metric
spaces homeomorphic to the universal Menger curve and higher dimensional
Sierpiński spaces, which are quasisymmetrically co-Hopfian. We also show that
the collect... | 0 | 0 | 1 | 0 | 0 | 0 |
Localization properties and high-fidelity state transfer in electronic hopping models with correlated disorder | We investigate a tight-binding electronic chain featuring diagonal and
off-diagonal disorder, these being modelled through the long-range-correlated
fractional Brownian motion. Particularly, by employing exact diagonalization
methods, we evaluate how the eigenstate spectrum of the system and its related
single-partic... | 0 | 1 | 0 | 0 | 0 | 0 |
On consistency of optimal pricing algorithms in repeated posted-price auctions with strategic buyer | We study revenue optimization learning algorithms for repeated posted-price
auctions where a seller interacts with a single strategic buyer that holds a
fixed private valuation for a good and seeks to maximize his cumulative
discounted surplus. For this setting, first, we propose a novel algorithm that
never decrease... | 1 | 0 | 0 | 1 | 0 | 0 |
City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions | The occurrence of drug-drug-interactions (DDI) from multiple drug
prescriptions is a serious problem, both for individuals and health-care
systems, since patients with complications due to DDI are likely to re-enter
the system at a costlier level. We present a large-scale longitudinal study of
the DDI phenomenon at t... | 1 | 0 | 0 | 1 | 1 | 0 |
A remark on the disorienting of species due to the fluctuating environment | In this article we study the stabilizing of a primitive pattern of behaviour
for the two-species community with chemotaxis due to the short-wavelength
external signal. We use a system of Patlak-Keller-Segel type as a model of the
community. It is well-known that such systems can produce complex unsteady
patterns of b... | 0 | 0 | 0 | 0 | 1 | 0 |
Fourier optimization and prime gaps | We investigate some extremal problems in Fourier analysis and their
connection to a problem in prime number theory. In particular, we improve the
current bounds for the largest possible gap between consecutive primes assuming
the Riemann hypothesis.
| 0 | 0 | 1 | 0 | 0 | 0 |
An Interpretable Knowledge Transfer Model for Knowledge Base Completion | Knowledge bases are important resources for a variety of natural language
processing tasks but suffer from incompleteness. We propose a novel embedding
model, \emph{ITransF}, to perform knowledge base completion. Equipped with a
sparse attention mechanism, ITransF discovers hidden concepts of relations and
transfer s... | 1 | 0 | 0 | 0 | 0 | 0 |
Vecchia approximations of Gaussian-process predictions | Gaussian processes (GPs) are highly flexible function estimators used for
geospatial analysis, nonparametric regression, and machine learning, but they
are computationally infeasible for large datasets. Vecchia approximations of
GPs have been used to enable fast evaluation of the likelihood for parameter
inference. H... | 0 | 0 | 0 | 1 | 0 | 0 |
Long-Term Sequential Prediction Using Expert Advice | For the prediction with experts' advice setting, we consider some methods to
construct forecasting algorithms that suffer loss not much more than any expert
in the pool. In contrast to the standard approach, we investigate the case of
long-term forecasting of time series. This approach implies that each expert
issues... | 1 | 0 | 0 | 1 | 0 | 0 |
AMBER: Adaptive Multi-Batch Experience Replay for Continuous Action Control | In this paper, a new adaptive multi-batch experience replay scheme is
proposed for proximal policy optimization (PPO) for continuous action control.
On the contrary to original PPO, the proposed scheme uses the batch samples of
past policies as well as the current policy for the update for the next policy,
where the ... | 1 | 0 | 0 | 0 | 0 | 0 |
Magnetic states of MnP: muon-spin rotation studies | Muon-spin rotation data collected at ambient pressure ($p$) and at $p=2.42$
GPa in MnP were analyzed to check their consistency with various low- and
high-pressure magnetic structures reported in the literature. Our analysis
confirms that in MnP the low-temperature and low-pressure helimagnetic phase is
characterised... | 0 | 1 | 0 | 0 | 0 | 0 |
The Hyper Suprime-Cam Software Pipeline | In this paper, we describe the optical imaging data processing pipeline
developed for the Subaru Telescope's Hyper Suprime-Cam (HSC) instrument. The
HSC Pipeline builds on the prototype pipeline being developed by the Large
Synoptic Survey Telescope's Data Management system, adding customizations for
HSC, large-scale... | 0 | 1 | 0 | 0 | 0 | 0 |
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