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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Optimization and Testing in Linear Non-Gaussian Component Analysis | Independent component analysis (ICA) decomposes multivariate data into
mutually independent components (ICs). The ICA model is subject to a constraint
that at most one of these components is Gaussian, which is required for model
identifiability. Linear non-Gaussian component analysis (LNGCA) generalizes the
ICA model... | 0 | 0 | 1 | 1 | 0 | 0 |
New Horizons Ring Collision Hazard: Constraints from Earth-based Observations | The New Horizons spacecraft's nominal trajectory crosses the planet's
satellite plane at $\sim 10,000\ \rm{km}$ from the barycenter, between the
orbits of Pluto and Charon. I have investigated the risk to the spacecraft
based on observational limits of rings and dust within this region, assuming
various particle size... | 0 | 1 | 0 | 0 | 0 | 0 |
Dependability of Sensor Networks for Industrial Prognostics and Health Management | Maintenance is an important activity in industry. It is performed either to
revive a machine/component or to prevent it from breaking down. Different
strategies have evolved through time, bringing maintenance to its current
state: condition-based and predictive maintenances. This evolution was due to
the increasing d... | 1 | 0 | 0 | 0 | 0 | 0 |
On Markov Chain Gradient Descent | Stochastic gradient methods are the workhorse (algorithms) of large-scale
optimization problems in machine learning, signal processing, and other
computational sciences and engineering. This paper studies Markov chain
gradient descent, a variant of stochastic gradient descent where the random
samples are taken on the... | 0 | 0 | 0 | 1 | 0 | 0 |
Reduction of Second-Order Network Systems with Structure Preservation | This paper proposes a general framework for structure-preserving model
reduction of a secondorder network system based on graph clustering. In this
approach, vertex dynamics are captured by the transfer functions from inputs to
individual states, and the dissimilarities of vertices are quantified by the
H2-norms of t... | 1 | 0 | 0 | 0 | 0 | 0 |
Higher-rank graph algebras are iterated Cuntz-Pimsner algebras | Given a finitely aligned $k$-graph $\Lambda$, we let $\Lambda^i$ denote the
$(k-1)$-graph formed by removing all edges of degree $e_i$ from $\Lambda$. We
show that the Toeplitz-Cuntz-Krieger algebra of $\Lambda$, denoted by
$\mathcal{T}C^*(\Lambda)$, may be realised as the Toeplitz algebra of a Hilbert
$\mathcal{T}C^... | 0 | 0 | 1 | 0 | 0 | 0 |
Ultracold Atomic Gases in Artificial Magnetic Fields (PhD thesis) | A phenomenon can hardly be found that accompanied physical paradigms and
theoretical concepts in a more reflecting way than magnetism. From the
beginnings of metaphysics and the first classical approaches to magnetic poles
and streamlines of the field, it has inspired modern physics on its way to the
classical field ... | 0 | 1 | 0 | 0 | 0 | 0 |
Stream VByte: Faster Byte-Oriented Integer Compression | Arrays of integers are often compressed in search engines. Though there are
many ways to compress integers, we are interested in the popular byte-oriented
integer compression techniques (e.g., VByte or Google's Varint-GB). They are
appealing due to their simplicity and engineering convenience. Amazon's
varint-G8IU is... | 1 | 0 | 0 | 0 | 0 | 0 |
Kondo Signatures of a Quantum Magnetic Impurity in Topological Superconductors | We study the Kondo physics of a quantum magnetic impurity in two-dimensional
topological superconductors (TSCs), either intrinsic or induced on the surface
of a bulk topological insulator, using a numerical renormalization group
technique. We show that, despite sharing the p + ip pairing symmetry, intrinsic
and extri... | 0 | 1 | 0 | 0 | 0 | 0 |
Waldschmidt constants for Stanley-Reisner ideals of a class of graphs | In the present note we study Waldschmidt constants of Stanley-Reisner ideals
of a hypergraph and a graph with vertices forming a bipyramid over a planar
n-gon. The case of the hypergraph has been studied by Bocci and Franci. We
reprove their main result. The case of the graph is new. Interestingly, both
cases provide... | 0 | 0 | 1 | 0 | 0 | 0 |
FO model checking of geometric graphs | Over the past two decades the main focus of research into first-order (FO)
model checking algorithms has been on sparse relational structures -
culminating in the FPT algorithm by Grohe, Kreutzer and Siebertz for FO model
checking of nowhere dense classes of graphs. On contrary to that, except the
case of locally bou... | 1 | 0 | 0 | 0 | 0 | 0 |
Pseudo-linear regression identification based on generalized orthonormal transfer functions: Convergence conditions and bias distribution | In this paper we generalize three identification recursive algorithms
belonging to the pseudo-linear class, by introducing a predictor established on
a generalized orthonormal function basis. Contrary to the existing
identification schemes that use such functions, no constraint on the model
poles is imposed. Not only... | 1 | 0 | 0 | 0 | 0 | 0 |
Lower bounds for weak approximation errors for spatial spectral Galerkin approximations of stochastic wave equations | Although for a number of semilinear stochastic wave equations existence and
uniqueness results for corresponding solution processes are known from the
literature, these solution processes are typically not explicitly known and
numerical approximation methods are needed in order for mathematical modelling
with stochas... | 0 | 0 | 1 | 0 | 0 | 0 |
Structured low-rank matrix learning: algorithms and applications | We consider the problem of learning a low-rank matrix, constrained to lie in
a linear subspace, and introduce a novel factorization for modeling such
matrices. A salient feature of the proposed factorization scheme is it
decouples the low-rank and the structural constraints onto separate factors. We
formulate the opt... | 0 | 0 | 0 | 1 | 0 | 0 |
Greed Works - Online Algorithms For Unrelated Machine Stochastic Scheduling | This paper establishes the first performance guarantees for a combinatorial
online algorithm that schedules stochastic, nonpreemptive jobs on unrelated
machines to minimize the expected total weighted completion time. Prior work on
unrelated machine scheduling with stochastic jobs was restricted to the offline
case, ... | 1 | 0 | 0 | 0 | 0 | 0 |
On a combinatorial curvature for surfaces with inversive distance circle packing metrics | In this paper, we introduce a new combinatorial curvature on triangulated
surfaces with inversive distance circle packing metrics. Then we prove that
this combinatorial curvature has global rigidity. To study the Yamabe problem
of the new curvature, we introduce a combinatorial Ricci flow, along which the
curvature e... | 0 | 0 | 1 | 0 | 0 | 0 |
Improving End-to-End Speech Recognition with Policy Learning | Connectionist temporal classification (CTC) is widely used for maximum
likelihood learning in end-to-end speech recognition models. However, there is
usually a disparity between the negative maximum likelihood and the performance
metric used in speech recognition, e.g., word error rate (WER). This results in
a mismat... | 1 | 0 | 0 | 1 | 0 | 0 |
Better Protocol for XOR Game using Communication Protocol and Nonlocal Boxes | Buhrman showed that an efficient communication protocol implies a reliable
XOR game protocol. This idea rederives Linial and Shraibman's lower bounds of
communication complexity, which was derived by using factorization norms, with
worse constant factor in much more intuitive way. In this work, we improve and
general... | 1 | 0 | 1 | 0 | 0 | 0 |
DTN: A Learning Rate Scheme with Convergence Rate of $\mathcal{O}(1/t)$ for SGD | We propose a novel diminishing learning rate scheme, coined
Decreasing-Trend-Nature (DTN), which allows us to prove fast convergence of the
Stochastic Gradient Descent (SGD) algorithm to a first-order stationary point
for smooth general convex and some class of nonconvex including neural network
applications for clas... | 1 | 0 | 0 | 1 | 0 | 0 |
Minimax Distribution Estimation in Wasserstein Distance | The Wasserstein metric is an important measure of distance between
probability distributions, with applications in machine learning, statistics,
probability theory, and data analysis. This paper provides upper and lower
bounds on statistical minimax rates for the problem of estimating a probability
distribution under... | 0 | 0 | 0 | 1 | 0 | 0 |
Uniformization and Steinness | It is shown that the unit ball in ${\mathbb C}^n$ is the only complex
manifold that can universally cover both Stein and non-Stein strictly
pseudoconvex domains.
| 0 | 0 | 1 | 0 | 0 | 0 |
Recent progress on conditional randomness | In this article, recent progress on ML-randomness with respect to conditional
probabilities is reviewed. In particular a new result of conditional randomness
with respect to mutually singular probabilities are shown, which is a
generalization of Hanssen's result (2010) for Bernoulli processes.
| 1 | 0 | 1 | 0 | 0 | 0 |
The evolution of red supergiants to supernovae | With red supergiants (RSGs) predicted to end their lives as Type IIP core
collapse supernova (CCSN), their behaviour before explosion needs to be fully
understood. Mass loss rates govern RSG evolution towards SN and have strong
implications on the appearance of the resulting explosion. To study how the
mass-loss rate... | 0 | 1 | 0 | 0 | 0 | 0 |
Conformally invariant elliptic Liouville equation and its symmetry preserving discretization | The symmetry algebra of the real elliptic Liouville equation is an
infinite-dimensional loop algebra with the simple Lie algebra $o(3,1)$ as its
maximal finite-dimensional subalgebra. The entire algebra generates the
conformal group of the Euclidean plane $E_2$. This infinite-dimensional algebra
distinguishes the ell... | 0 | 1 | 1 | 0 | 0 | 0 |
Discrete diffusion Lyman-alpha radiative transfer | Due to its accuracy and generality, Monte Carlo radiative transfer (MCRT) has
emerged as the prevalent method for Ly$\alpha$ radiative transfer in arbitrary
geometries. The standard MCRT encounters a significant efficiency barrier in
the high optical depth, diffusion regime. Multiple acceleration schemes have
been de... | 0 | 1 | 0 | 0 | 0 | 0 |
Kosterlitz-Thouless transition and vortex-antivortex lattice melting in two-dimensional Fermi gases with $p$- or $d$-wave pairing | We present a theoretical study of the finite-temperature Kosterlitz-Thouless
(KT) and vortex-antivortex lattice (VAL) melting transitions in two-dimensional
Fermi gases with $p$- or $d$-wave pairing. For both pairings, when the
interaction is tuned from weak to strong attractions, we observe a quantum
phase transitio... | 0 | 1 | 0 | 0 | 0 | 0 |
Chiral Optical Tamm States: Temporal Coupled-Mode Theory | The chiral optical Tamm state (COTS) is a special localized state at the
interface of a handedness-preserving mirror and a structurally chiral medium
such as a cholesteric liquid crystal or a chiral sculptured thin film. The
spectral behavior of COTS, observed as reflection resonances, is described by
the temporal co... | 0 | 1 | 0 | 0 | 0 | 0 |
Functional inequalities for Fox-Wright functions | In this paper, our aim is to show some mean value inequalities for the
Fox-Wright functions, such as Turán--type inequalities, Lazarević and
Wilker--type inequalities. As applications we derive some new type inequalities
for hypergeometric functions and the four--parametric Mittag--Leffler
functions. Furthermore, we ... | 0 | 0 | 1 | 0 | 0 | 0 |
Collaboration Spheres: a Visual Metaphor to Share and Reuse Research Objects | Research Objects (ROs) are semantically enhanced aggregations of resources
associated to scientific experiments, such as data, provenance of these data,
the scientific workflow used to run the experiment, intermediate results, logs
and the interpretation of the results. As the number of ROs increases, it is
becoming ... | 1 | 0 | 0 | 0 | 0 | 0 |
Intelligent flat-and-textureless object manipulation in Service Robots | This work introduces our approach to the flat and textureless object grasping
problem. In particular, we address the tableware and cutlery manipulation
problem where a service robot has to clean up a table. Our solution integrates
colour and 2D and 3D geometry information to describe objects, and this
information is ... | 1 | 0 | 0 | 0 | 0 | 0 |
Constraints on the Intergalactic Magnetic Field from Bow Ties in the Gamma-ray Sky | Pair creation on the cosmic infrared background and subsequent
inverse-Compton scattering on the CMB potentially reprocesses the TeV emission
of blazars into faint GeV halos with structures sensitive to intergalactic
magnetic fields (IGMF). We attempt to detect such halos exploiting their highly
anisotropic shape. Th... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning Deep Representations with Probabilistic Knowledge Transfer | Knowledge Transfer (KT) techniques tackle the problem of transferring the
knowledge from a large and complex neural network into a smaller and faster
one. However, existing KT methods are tailored towards classification tasks and
they cannot be used efficiently for other representation learning tasks. In
this paper a... | 0 | 0 | 0 | 1 | 0 | 0 |
Pluricanonical Periods over Compact Riemann Surfaces of Genus at least 2 | This article is an attempt to generalize Riemann's bilinear relations on
compact Riemann surface of genus at least 2, which may lead to new structures
in the theory of hyperbolic Riemann surfaces. No significant result is
obtained, the article serves to bring the readers' attention to the observation
made by [Bol-194... | 0 | 0 | 1 | 0 | 0 | 0 |
Stochastic Gradient Descent: Going As Fast As Possible But Not Faster | When applied to training deep neural networks, stochastic gradient descent
(SGD) often incurs steady progression phases, interrupted by catastrophic
episodes in which loss and gradient norm explode. A possible mitigation of such
events is to slow down the learning process. This paper presents a novel
approach to cont... | 0 | 0 | 0 | 1 | 0 | 0 |
Stacked Convolutional and Recurrent Neural Networks for Bird Audio Detection | This paper studies the detection of bird calls in audio segments using
stacked convolutional and recurrent neural networks. Data augmentation by
blocks mixing and domain adaptation using a novel method of test mixing are
proposed and evaluated in regard to making the method robust to unseen data.
The contributions of... | 1 | 0 | 0 | 0 | 0 | 0 |
Gibbs posterior convergence and the thermodynamic formalism | In this paper we consider a Bayesian framework for making inferences about
dynamical systems from ergodic observations. The proposed Bayesian procedure is
based on the Gibbs posterior, a decision theoretic generalization of standard
Bayesian inference. We place a prior over a model class consisting of a
parametrized ... | 0 | 0 | 1 | 1 | 0 | 0 |
Retrieval Analysis of the Emission Spectrum of WASP-12b: Sensitivity of Outcomes to Prior Assumptions and Implications for Formation History | We analyze the emission spectrum of the hot Jupiter WASP-12b using our
HELIOS-R retrieval code and HELIOS-K opacity calculator. When interpreting
Hubble and Spitzer data, the retrieval outcomes are found to be
prior-dominated. When the prior distributions of the molecular abundances are
assumed to be log-uniform, the... | 0 | 1 | 0 | 0 | 0 | 0 |
Model Learning for Look-ahead Exploration in Continuous Control | We propose an exploration method that incorporates look-ahead search over
basic learnt skills and their dynamics, and use it for reinforcement learning
(RL) of manipulation policies . Our skills are multi-goal policies learned in
isolation in simpler environments using existing multigoal RL formulations,
analogous to... | 1 | 0 | 0 | 0 | 0 | 0 |
Efficient and Scalable View Generation from a Single Image using Fully Convolutional Networks | Single-image-based view generation (SIVG) is important for producing 3D
stereoscopic content. Here, handling different spatial resolutions as input and
optimizing both reconstruction accuracy and processing speed is desirable.
Latest approaches are based on convolutional neural network (CNN), and they
generate promis... | 1 | 0 | 0 | 0 | 0 | 0 |
An Empirical Analysis of Approximation Algorithms for the Euclidean Traveling Salesman Problem | With applications to many disciplines, the traveling salesman problem (TSP)
is a classical computer science optimization problem with applications to
industrial engineering, theoretical computer science, bioinformatics, and
several other disciplines. In recent years, there have been a plethora of novel
approaches for... | 1 | 0 | 0 | 0 | 0 | 0 |
Dynamical compensation and structural identifiability: analysis, implications, and reconciliation | The concept of dynamical compensation has been recently introduced to
describe the ability of a biological system to keep its output dynamics
unchanged in the face of varying parameters. Here we show that, according to
its original definition, dynamical compensation is equivalent to lack of
structural identifiability... | 1 | 0 | 0 | 0 | 0 | 0 |
Characterization of the beam from the RFQ of the PIP-II Injector Test | A 2.1 MeV, 10 mA CW RFQ has been installed and commissioned at Fermilab's
test accelerator known as PIP-II Injector Test. This report describes the
measurements of the beam properties after acceleration in the RFQ, including
the energy and emittance.
| 0 | 1 | 0 | 0 | 0 | 0 |
Money on the Table: Statistical information ignored by Softmax can improve classifier accuracy | Softmax is a standard final layer used in Neural Nets (NNs) to summarize
information encoded in the trained NN and return a prediction. However, Softmax
leverages only a subset of the class-specific structure encoded in the trained
model and ignores potentially valuable information: During training, models
encode an ... | 1 | 0 | 0 | 1 | 0 | 0 |
Generalized Stieltjes constants and integrals involving the log-log function: Kummer's Theorem in action | In this note, we recall Kummer's Fourier series expansion of the 1-periodic
function that coincides with the logarithm of the Gamma function on the unit
interval $(0,1)$, and we use it to find closed forms for some numerical series
related to the generalized Stieltjes constants, and some integrals involving
the funct... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Combinatorial Lower Bound for the Extension Complexity of the Spanning Tree Polytope | In the study of extensions of polytopes of combinatorial optimization
problems, a notorious open question is that for the size of the smallest
extended formulation of the Minimum Spanning Tree problem on a complete graph
with $n$ nodes. The best known lower bound is the trival (dimension) bound,
$\Omega(n^2)$, the be... | 1 | 0 | 1 | 0 | 0 | 0 |
An Introduction to Classic DEVS | DEVS is a popular formalism for modelling complex dynamic systems using a
discrete-event abstraction. At this abstraction level, a timed sequence
ofpertinent "events" input to a system (or internal, in the case of timeouts)
cause instantaneous changes to the state of the system. Between events, the
state does not cha... | 1 | 0 | 0 | 0 | 0 | 0 |
Nanoscale Solid State Batteries Enabled By Thermal Atomic Layer Deposition of a Lithium Polyphosphazene Solid State Electrolyte | Several active areas of research in novel energy storage technologies,
including three-dimensional solid state batteries and passivation coatings for
reactive battery electrode components, require conformal solid state
electrolytes. We describe an atomic layer deposition (ALD) process for a member
of the lithium phos... | 0 | 1 | 0 | 0 | 0 | 0 |
Classification of crystallization outcomes using deep convolutional neural networks | The Machine Recognition of Crystallization Outcomes (MARCO) initiative has
assembled roughly half a million annotated images of macromolecular
crystallization experiments from various sources and setups. Here,
state-of-the-art machine learning algorithms are trained and tested on
different parts of this data set. We ... | 0 | 0 | 0 | 1 | 1 | 0 |
Private Information, Credit Risk and Graph Structure in P2P Lending Networks | This research investigated the potential for improving Peer-to-Peer (P2P)
credit scoring by using "private information" about communications and travels
of borrowers. We found that P2P borrowers' ego networks exhibit scale-free
behavior driven by underlying preferential attachment mechanisms that connect
borrowers in... | 1 | 0 | 0 | 0 | 0 | 1 |
Nonmonotonous classical magneto-conductivity of a two-dimensional electron gas in a disordered array of obstacles | Magnetotransport measurements in combination with molecular dynamics (MD)
simulations on two-dimensional disordered Lorentz gases in the classical regime
are reported. In quantitative agreement between experiment and simulation, the
magnetoconductivity displays a pronounced peak as a function of perpendicular
magneti... | 0 | 1 | 0 | 0 | 0 | 0 |
Pushing STEM-education through a social-media-based contest format - experiences and lessons-learned from the H2020-project SciChallenge | Science education is a crucial issue with long-term impacts for Europe as the
low enrolment rates in the STEM-fields, including (natural) science,
technology, engineering and mathematics, will lead to a workforce problem in
research and development. In order to address this challenge, the EU-funded
research project S... | 1 | 0 | 0 | 0 | 0 | 0 |
Hidden area and mechanical nonlinearities in freestanding graphene | We investigated the effect of out-of-plane crumpling on the mechanical
response of graphene membranes. In our experiments, stress was applied to
graphene membranes using pressurized gas while the strain state was monitored
through two complementary techniques: interferometric profilometry and Raman
spectroscopy. By c... | 0 | 1 | 0 | 0 | 0 | 0 |
Solving Partial Differential Equations on Manifolds From Incomplete Inter-Point Distance | Solutions of partial differential equations (PDEs) on manifolds have provided
important applications in different fields in science and engineering. Existing
methods are majorly based on discretization of manifolds as implicit functions,
triangle meshes, or point clouds, where the manifold structure is approximated
b... | 1 | 0 | 1 | 0 | 0 | 0 |
Zonal Flow Magnetic Field Interaction in the Semi-Conducting Region of Giant Planets | All four giant planets in the Solar System feature zonal flows on the order
of 100 m/s in the cloud deck, and large-scale intrinsic magnetic fields on the
order of 1 Gauss near the surface. The vertical structure of the zonal flows
remains obscure. The end-member scenarios are shallow flows confined in the
radiative ... | 0 | 1 | 0 | 0 | 0 | 0 |
Superpixel-based Semantic Segmentation Trained by Statistical Process Control | Semantic segmentation, like other fields of computer vision, has seen a
remarkable performance advance by the use of deep convolution neural networks.
However, considering that neighboring pixels are heavily dependent on each
other, both learning and testing of these methods have a lot of redundant
operations. To res... | 1 | 0 | 0 | 0 | 0 | 0 |
Photometric Stereo by Hemispherical Metric Embedding | Photometric Stereo methods seek to reconstruct the 3d shape of an object from
motionless images obtained with varying illumination. Most existing methods
solve a restricted problem where the physical reflectance model, such as
Lambertian reflectance, is known in advance. In contrast, we do not restrict
ourselves to a... | 1 | 0 | 0 | 0 | 0 | 0 |
Time Reversal, SU(N) Yang-Mills and Cobordisms: Interacting Topological Superconductors/Insulators and Quantum Spin Liquids in 3+1D | We introduce a web of strongly correlated interacting 3+1D topological
superconductors/insulators of 10 particular global symmetry groups of Cartan
classes, realizable in electronic condensed matter systems, and their new SU(N)
generalizations. The symmetries include SU(N), SU(2), U(1), fermion parity,
time reversal ... | 0 | 1 | 1 | 0 | 0 | 0 |
Forest-based methods and ensemble model output statistics for rainfall ensemble forecasting | Rainfall ensemble forecasts have to be skillful for both low precipitation
and extreme events. We present statistical post-processing methods based on
Quantile Regression Forests (QRF) and Gradient Forests (GF) with a parametric
extension for heavy-tailed distributions. Our goal is to improve ensemble
quality for all... | 0 | 0 | 1 | 1 | 0 | 0 |
Non interactive simulation of correlated distributions is decidable | A basic problem in information theory is the following: Let $\mathbf{P} =
(\mathbf{X}, \mathbf{Y})$ be an arbitrary distribution where the marginals
$\mathbf{X}$ and $\mathbf{Y}$ are (potentially) correlated. Let Alice and Bob
be two players where Alice gets samples $\{x_i\}_{i \ge 1}$ and Bob gets
samples $\{y_i\}_{... | 1 | 0 | 1 | 0 | 0 | 0 |
Effective Completeness for S4.3.1-Theories with Respect to Discrete Linear Models | The computable model theory of modal logic was initiated by Suman Ganguli and
Anil Nerode in [4]. They use an effective Henkin-type construction to
effectivize various completeness theorems from classical modal logic. This
construction has the feature of only producing models whose frames can be
obtained by adding ed... | 0 | 0 | 1 | 0 | 0 | 0 |
DeepTingle | DeepTingle is a text prediction and classification system trained on the
collected works of the renowned fantastic gay erotica author Chuck Tingle.
Whereas the writing assistance tools you use everyday (in the form of
predictive text, translation, grammar checking and so on) are trained on
generic, purportedly "neutr... | 1 | 0 | 0 | 0 | 0 | 0 |
Degrees of Freedom in Cached MIMO Relay Networks With Multiple Base Stations | The ability of physical layer relay caching to increase the degrees of
freedom (DoF) of a single cell was recently illustrated. In this paper, we
extend this result to the case of multiple cells in which a caching relay is
shared among multiple non-cooperative base stations (BSs). In particular, we
show that a large ... | 1 | 0 | 0 | 0 | 0 | 0 |
A perturbation theory for water with an associating reference fluid | The theoretical description of the thermodynamics of water is challenged by
the structural transition towards tetrahedral symmetry at ambient conditions.
As perturbation theories typically assume a spherically symmetric reference
fluid, they are incapable of accurately describing the liquid properties of
water at amb... | 0 | 1 | 0 | 0 | 0 | 0 |
Finite Sample Complexity of Sequential Monte Carlo Estimators | We present bounds for the finite sample error of sequential Monte Carlo
samplers on static spaces. Our approach explicitly relates the performance of
the algorithm to properties of the chosen sequence of distributions and mixing
properties of the associated Markov kernels. This allows us to give the first
finite samp... | 0 | 0 | 0 | 1 | 0 | 0 |
Reduced chemistry for butanol isomers at engine-relevant conditions | Butanol has received significant research attention as a second-generation
biofuel in the past few years. In the present study, skeletal mechanisms for
four butanol isomers were generated from two widely accepted, well-validated
detailed chemical kinetic models for the butanol isomers. The detailed models
were reduce... | 0 | 1 | 0 | 0 | 0 | 0 |
A Measure of Dependence Between Discrete and Continuous Variables | Mutual Information (MI) is an useful tool for the recognition of mutual
dependence berween data sets. Differen methods for the estimation of MI have
been developed when both data sets are discrete or when both data sets are
continuous. The MI estimation between a discrete data set and a continuous data
set has not re... | 0 | 0 | 0 | 1 | 0 | 0 |
Stein Variational Online Changepoint Detection with Applications to Hawkes Processes and Neural Networks | Bayesian online changepoint detection (BOCPD) (Adams & MacKay, 2007) offers a
rigorous and viable way to identity changepoints in complex systems. In this
work, we introduce a Stein variational online changepoint detection (SVOCD)
method to provide a computationally tractable generalization of BOCPD beyond
the expone... | 1 | 0 | 0 | 1 | 0 | 0 |
Quantum Teleportation and Super-dense Coding in Operator Algebras | Let $\mathcal{B}_d$ be the unital $C^*$-algebra generated by the elements
$u_{jk}, \, 0 \le i, j \le d-1$, satisfying the relations that $[u_{j,k}]$ is a
unitary operator, and let $C^*(\mathbb{F}_{d^2})$ be the full group
$C^*$-algebra of free group of $d^2$ generators. Based on the idea of
teleportation and super-de... | 0 | 0 | 1 | 0 | 0 | 0 |
A Practical Randomized CP Tensor Decomposition | The CANDECOMP/PARAFAC (CP) decomposition is a leading method for the analysis
of multiway data. The standard alternating least squares algorithm for the CP
decomposition (CP-ALS) involves a series of highly overdetermined linear least
squares problems. We extend randomized least squares methods to tensors and
show th... | 1 | 0 | 0 | 0 | 0 | 0 |
Two dimensional potential flow around a rectangular pole solved by a multiple linear regression | A potential flow around a circular cylinder is a commonly examined problem in
an introductory physics class. We pose a similar problem but with different
boundary conditions where a rectangular pole replaces a circular cylinder. We
demonstrate to solve the problem by deriving a general solution for the flow in
the fo... | 0 | 1 | 0 | 1 | 0 | 0 |
Fixed Price Approximability of the Optimal Gain From Trade | Bilateral trade is a fundamental economic scenario comprising a strategically
acting buyer and seller, each holding valuations for the item, drawn from
publicly known distributions. A mechanism is supposed to facilitate trade
between these agents, if such trade is beneficial. It was recently shown that
the only mecha... | 1 | 0 | 0 | 0 | 0 | 0 |
$^{139}$La and $^{63}$Cu NMR investigation of charge order in La$_{2}$CuO$_{4+y}$ ($T_{c}=42$K) | We report $^{139}$La and $^{63}$Cu NMR investigation of the successive charge
order, spin order, and superconducting transitions in super-oxygenated
La$_2$CuO$_{4+y}$ single crystal with stage-4 excess oxygen order at
$T_{stage}\simeq 290$ K. We show that the stage-4 order induces tilting of
CuO$_6$ octahedra below $... | 0 | 1 | 0 | 0 | 0 | 0 |
An Exploratory Study of Field Failures | Field failures, that is, failures caused by faults that escape the testing
phase leading to failures in the field, are unavoidable. Improving verification
and validation activities before deployment can identify and timely remove many
but not all faults, and users may still experience a number of annoying
problems wh... | 1 | 0 | 0 | 0 | 0 | 0 |
Crowdsourcing Predictors of Residential Electric Energy Usage | Crowdsourcing has been successfully applied in many domains including
astronomy, cryptography and biology. In order to test its potential for useful
application in a Smart Grid context, this paper investigates the extent to
which a crowd can contribute predictive hypotheses to a model of residential
electric energy c... | 1 | 0 | 0 | 1 | 0 | 0 |
One-dimensional fluids with positive potentials | We study a class of one-dimensional classical fluids with penetrable
particles interacting through positive, purely repulsive, pair-potentials.
Starting from some lower bounds to the total potential energy, we draw results
on the thermodynamic limit of the given model.
| 0 | 1 | 1 | 0 | 0 | 0 |
Recovery of Sparse and Low Rank Components of Matrices Using Iterative Method with Adaptive Thresholding | In this letter, we propose an algorithm for recovery of sparse and low rank
components of matrices using an iterative method with adaptive thresholding. In
each iteration, the low rank and sparse components are obtained using a
thresholding operator. This algorithm is fast and can be implemented easily. We
compare it... | 1 | 0 | 0 | 1 | 0 | 0 |
Reduced Order Modelling for the Simulation of Quenches in Superconducting Magnets | This contributions discusses the simulation of magnetothermal effects in
superconducting magnets as used in particle accelerators. An iterative coupling
scheme using reduced order models between a magnetothermal partial differential
model and an electrical lumped-element circuit is demonstrated. The
multiphysics, mul... | 1 | 1 | 0 | 0 | 0 | 0 |
Life in the "Matrix": Human Mobility Patterns in the Cyber Space | With the wide adoption of the multi-community setting in many popular social
media platforms, the increasing user engagements across multiple online
communities warrant research attention. In this paper, we introduce a novel
analogy between the movements in the cyber space and the physical space. This
analogy implies... | 1 | 0 | 0 | 0 | 0 | 0 |
A Novel Subclass of Univalent Functions Involving Operators of Fractional Calculus | In this paper, we introduce and investigate a novel class of analytic and
univalent functions of negative coefficients in the open unit disk. For this
function class, we obtain characterization and distortion theorems as well as
the radii of close-to-convexity, starlikeness and convexity by using fractional
calculus ... | 0 | 0 | 1 | 0 | 0 | 0 |
Local bandwidth selection for kernel density estimation in bifurcating Markov chain model | We propose an adaptive estimator for the stationary distribution of a
bifurcating Markov Chain on $\mathbb R^d$. Bifurcating Markov chains (BMC for
short) are a class of stochastic processes indexed by regular binary trees. A
kernel estimator is proposed whose bandwidth is selected by a method inspired
by the works o... | 0 | 0 | 1 | 1 | 0 | 0 |
Sparse geometries handling in lattice-Boltzmann method implementation for graphic processors | We describe a high-performance implementation of the lattice-Boltzmann method
(LBM) for sparse geometries on graphic processors. In our implementation we
cover the whole geometry with a uniform mesh of small tiles and carry out
calculations for each tile independently with a proper data synchronization at
tile edges.... | 1 | 0 | 0 | 0 | 0 | 0 |
From Multimodal to Unimodal Webpages for Developing Countries | The multimodal web elements such as text and images are associated with
inherent memory costs to store and transfer over the Internet. With the limited
network connectivity in developing countries, webpage rendering gets delayed in
the presence of high-memory demanding elements such as images (relative to
text). To o... | 1 | 0 | 0 | 1 | 0 | 0 |
Light curves of hydrogen-poor Superluminous Supernovae from the Palomar Transient Factory | We investigate the light-curve properties of a sample of 26 spectroscopically
confirmed hydrogen-poor superluminous supernovae (SLSNe-I) in the Palomar
Transient Factory (PTF) survey. These events are brighter than SNe Ib/c and SNe
Ic-BL, on average, by about 4 and 2~mag, respectively. The peak absolute
magnitudes of... | 0 | 1 | 0 | 0 | 0 | 0 |
Sharing Means Renting?: An Entire-marketplace Analysis of Airbnb | Airbnb, an online marketplace for accommodations, has experienced a
staggering growth accompanied by intense debates and scattered regulations
around the world. Current discourses, however, are largely focused on opinions
rather than empirical evidences. Here, we aim to bridge this gap by presenting
the first large-s... | 1 | 1 | 0 | 0 | 0 | 0 |
What Happens - After the First Race? Enhancing the Predictive Power of Happens - Before Based Dynamic Race Detection | Dynamic race detection is the problem of determining if an observed program
execution reveals the presence of a data race in a program. The classical
approach to solving this problem is to detect if there is a pair of conflicting
memory accesses that are unordered by Lamport's happens-before (HB) relation.
HB based r... | 1 | 0 | 0 | 0 | 0 | 0 |
Proceedings of the Workshop on Data Mining for Oil and Gas | The process of exploring and exploiting Oil and Gas (O&G) generates a lot of
data that can bring more efficiency to the industry. The opportunities for
using data mining techniques in the "digital oil-field" remain largely
unexplored or uncharted. With the high rate of data expansion, companies are
scrambling to deve... | 1 | 0 | 0 | 1 | 0 | 0 |
Chiral magnetic effect of light | We study a photonic analog of the chiral magnetic (vortical) effect. We
discuss that the vector component of magnetoelectric tensors plays a role of
"vector potential," and its rotation is understood as "magnetic field" of a
light. Using the geometrical optics approximation, we show that "magnetic
fields" cause an an... | 0 | 1 | 0 | 0 | 0 | 0 |
New Pressure-Induced Polymorphic Transitions of Anhydrous Magnesium Sulfate | The effects of pressure on the crystal structure of the three known
polymorphs of magnesium sulfate have been theoretically study by means of DFT
calculations up to 45 GPa. We determined that at ambient conditions gamma MgSO4
is an unstable polymorph, which decompose into MgO and SO3, and that the
response of the oth... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal transport and integer partitions | We link the theory of optimal transportation to the theory of integer
partitions. Let $\mathscr P(n)$ denote the set of integer partitions of $n \in
\mathbb N$ and write partitions $\pi \in \mathscr P(n)$ as $(n_1, \dots,
n_{k(\pi)})$. Using terminology from optimal transport, we characterize certain
classes of parti... | 0 | 0 | 1 | 0 | 0 | 0 |
An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings | This paper studies an intelligent ultimate technique for health-monitoring
and prognostic of common rotary machine components, particularly bearings.
During a run-to-failure experiment, rich unsupervised features from vibration
sensory data are extracted by a trained sparse auto-encoder. Then, the
correlation of the ... | 1 | 0 | 0 | 1 | 0 | 0 |
Temporal Type Theory: A topos-theoretic approach to systems and behavior | This book introduces a temporal type theory, the first of its kind as far as
we know. It is based on a standard core, and as such it can be formalized in a
proof assistant such as Coq or Lean by adding a number of axioms. Well-known
temporal logics---such as Linear and Metric Temporal Logic (LTL and
MTL)---embed with... | 0 | 0 | 1 | 0 | 0 | 0 |
On Poletsky theory of discs in compact manifolds | We provide a direct construction of Poletsky discs via local arc
approximation and a Runge-type theorem by A. Gournay.
| 0 | 0 | 1 | 0 | 0 | 0 |
Continuous DR-submodular Maximization: Structure and Algorithms | DR-submodular continuous functions are important objectives with wide
real-world applications spanning MAP inference in determinantal point processes
(DPPs), and mean-field inference for probabilistic submodular models, amongst
others. DR-submodularity captures a subclass of non-convex functions that
enables both exa... | 1 | 0 | 0 | 1 | 0 | 0 |
A Structural Characterization for Certifying Robinsonian Matrices | A symmetric matrix is Robinsonian if its rows and columns can be
simultaneously reordered in such a way that entries are monotone nondecreasing
in rows and columns when moving toward the diagonal. The adjacency matrix of a
graph is Robinsonian precisely when the graph is a unit interval graph, so that
Robinsonian mat... | 1 | 0 | 1 | 0 | 0 | 0 |
A new scenario for gravity detection in plants: the position sensor hypothesis | The detection of gravity plays a fundamental role during the growth and
evolution of plants. Although progress has been made in our understanding of
the molecular, cellular and physical mechanisms involved in the gravity
detection, a coherent scenario consistent with all the observations is still
lacking. In this per... | 0 | 1 | 0 | 0 | 0 | 0 |
Techniques for proving Asynchronous Convergence results for Markov Chain Monte Carlo methods | Markov Chain Monte Carlo (MCMC) methods such as Gibbs sampling are finding
widespread use in applied statistics and machine learning. These often lead to
difficult computational problems, which are increasingly being solved on
parallel and distributed systems such as compute clusters. Recent work has
proposed running... | 1 | 0 | 0 | 1 | 0 | 0 |
Predicting Hurricane Trajectories using a Recurrent Neural Network | Hurricanes are cyclones circulating about a defined center whose closed wind
speeds exceed 75 mph originating over tropical and subtropical waters. At
landfall, hurricanes can result in severe disasters. The accuracy of predicting
their trajectory paths is critical to reduce economic loss and save human
lives. Given ... | 0 | 0 | 0 | 1 | 0 | 0 |
HJB equations in infinite dimension and optimal control of stochastic evolution equations via generalized Fukushima decomposition | A stochastic optimal control problem driven by an abstract evolution equation
in a separable Hilbert space is considered. Thanks to the identification of the
mild solution of the state equation as $\nu$-weak Dirichlet process, the value
processes is proved to be a real weak Dirichlet process. The uniqueness of the
co... | 0 | 0 | 1 | 0 | 0 | 0 |
Developing a Method to Determine Electrical Conductivity in Meteoritic Materials with Applications to Induction Heating Theory (2008 Student Thesis) | Magnetic induction was first proposed as a planetary heating mechanism by
Sonett and Colburn in 1968, in recent years this theory has lost favor as a
plausible source of heating in the early solar system. However, new models of
proto-planetary disk evolution suggest that magnetic fields play an important
role in sola... | 0 | 1 | 0 | 0 | 0 | 0 |
A KiDS weak lensing analysis of assembly bias in GAMA galaxy groups | We investigate possible signatures of halo assembly bias for
spectroscopically selected galaxy groups from the GAMA survey using weak
lensing measurements from the spatially overlapping regions of the deeper,
high-imaging-quality photometric KiDS survey. We use GAMA groups with an
apparent richness larger than 4 to i... | 0 | 1 | 0 | 0 | 0 | 0 |
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