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 |
|---|---|---|---|---|---|---|---|
Learning to detect chest radiographs containing lung nodules using visual attention networks | Machine learning approaches hold great potential for the automated detection
of lung nodules in chest radiographs, but training the algorithms requires vary
large amounts of manually annotated images, which are difficult to obtain. Weak
labels indicating whether a radiograph is likely to contain pulmonary nodules
are... | 0 | 0 | 0 | 1 | 0 | 0 |
New conformal map for the Sinc approximation for exponentially decaying functions over the semi-infinite interval | The Sinc approximation has shown high efficiency for numerical methods in
many fields. Conformal maps play an important role in the success, i.e.,
appropriate conformal map must be employed to elicit high performance of the
Sinc approximation. Appropriate conformal maps have been proposed for typical
cases; however, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Evidence synthesis for stochastic epidemic models | In recent years the role of epidemic models in informing public health
policies has progressively grown. Models have become increasingly realistic and
more complex, requiring the use of multiple data sources to estimate all
quantities of interest. This review summarises the different types of
stochastic epidemic mode... | 0 | 0 | 0 | 1 | 0 | 0 |
The multi-resonant Lugiato-Lefever model | We introduce a new model describing multiple resonances in Kerr optical
cavities. It perfectly agrees quantitatively with the Ikeda map and predicts
complex phenomena such as super cavity solitons and coexistence of multiple
nonlinear states.
| 0 | 1 | 0 | 0 | 0 | 0 |
Scalable Bayesian shrinkage and uncertainty quantification in high-dimensional regression | Bayesian shrinkage methods have generated a lot of recent interest as tools
for high-dimensional regression and model selection. These methods naturally
facilitate tractable uncertainty quantification and incorporation of prior
information. A common feature of these models, including the Bayesian lasso,
global-local ... | 0 | 0 | 0 | 1 | 0 | 0 |
Inclusion and Majorization Properties of Certain Subclasses of Multivalent Analytic Functions Involving a Linear Operator | The object of the present paper is to study certain properties and
characteristics of the operator $Q_{p,\beta}^{\alpha}$defined on p-valent
analytic function by using technique of differential subordination.We also
obtained result involving majorization problems by applying the operator to
p-valent analytic function... | 0 | 0 | 1 | 0 | 0 | 0 |
Tameness in least fixed-point logic and McColm's conjecture | We investigate fundamental model-theoretic dividing lines (the order
property, the independence property, the strict order property, and the tree
property 2) in the context of least fixed-point (LFP) logic over families of
finite structures. We show that, unlike the first-order (FO) case, the order
property and the i... | 1 | 0 | 1 | 0 | 0 | 0 |
Enhanced activity of the Southern Taurids in 2005 and 2015 | The paper presents an analysis of Polish Fireball Network (PFN) observations
of enhanced activity of the Southern Taurid meteor shower in 2005 and 2015. In
2005, between October 20 and November 10, seven stations of PFN determined 107
accurate orbits with 37 of them belonging to the Southern Taurid shower. In the
sam... | 0 | 1 | 0 | 0 | 0 | 0 |
Comparing anticyclotomic Selmer groups of positive coranks for congruent modular forms | We study the variation of Iwasawa invariants of the anticyclotomic Selmer
groups of congruent modular forms under the Heegner hypothesis. In particular,
we show that even if the Selmer groups we study may have positive coranks, the
mu-invariant vanishes for one modular form if and only if it vanishes for the
other, a... | 0 | 0 | 1 | 0 | 0 | 0 |
Predicting the Results of LTL Model Checking using Multiple Machine Learning Algorithms | In this paper, we study how to predict the results of LTL model checking
using some machine learning algorithms. Some Kripke structures and LTL formulas
and their model checking results are made up data set. The approaches based on
the Random Forest (RF), K-Nearest Neighbors (KNN), Decision tree (DT), and
Logistic Re... | 1 | 0 | 0 | 0 | 0 | 0 |
Magnetoelectric properties of the layered room-temperature antiferromagnets BaMn2P2 and BaMn2As2 | Properties of two ThCr2Si2-type materials are discussed within the context of
their established structural and magnetic symmetries. Both materials develop
collinear, G-type antiferromagnetic order above room temperature, and magnetic
ions occupy acentric sites in centrosymmetric structures. We refute a previous
conje... | 0 | 1 | 0 | 0 | 0 | 0 |
Discrete Spectrum Reconstruction using Integral Approximation Algorithm | An inverse problem in spectroscopy is considered. The objective is to restore
the discrete spectrum from observed spectrum data, taking into account the
spectrometer's line spread function. The problem is reduced to solution of a
system of linear-nonlinear equations (SLNE) with respect to intensities and
frequencies ... | 0 | 0 | 1 | 0 | 0 | 0 |
Tackling Over-pruning in Variational Autoencoders | Variational autoencoders (VAE) are directed generative models that learn
factorial latent variables. As noted by Burda et al. (2015), these models
exhibit the problem of factor over-pruning where a significant number of
stochastic factors fail to learn anything and become inactive. This can limit
their modeling power... | 1 | 0 | 0 | 0 | 0 | 0 |
Elastic collision and molecule formation of spatiotemporal light bullets in a cubic-quintic nonlinear medium | We consider the statics and dynamics of a stable, mobile three-dimensional
(3D) spatiotemporal light bullet in a cubic-quintic nonlinear medium with a
focusing cubic nonlinearity above a critical value and any defocusing quintic
nonlinearity. The 3D light bullet can propagate with a constant velocity in any
direction... | 0 | 1 | 0 | 0 | 0 | 0 |
From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach | One key challenge in talent search is to translate complex criteria of a
hiring position into a search query, while it is relatively easy for a searcher
to list examples of suitable candidates for a given position. To improve search
efficiency, we propose the next generation of talent search at LinkedIn, also
referre... | 1 | 0 | 0 | 0 | 0 | 0 |
Cyber-Physical System for Energy-Efficient Stadium Operation: Methodology and Experimental Validation | The environmental impacts of medium to large scale buildings receive
substantial attention in research, industry, and media. This paper studies the
energy savings potential of a commercial soccer stadium during day-to-day
operation. Buildings of this kind are characterized by special purpose system
installations like... | 1 | 0 | 0 | 0 | 0 | 0 |
On Bayesian Exponentially Embedded Family for Model Order Selection | In this paper, we derive a Bayesian model order selection rule by using the
exponentially embedded family method, termed Bayesian EEF. Unlike many other
Bayesian model selection methods, the Bayesian EEF can use vague proper priors
and improper noninformative priors to be objective in the elicitation of
parameter pri... | 0 | 0 | 0 | 1 | 0 | 0 |
Estimating solar flux density at low radio frequencies using a sky brightness model | Sky models have been used in the past to calibrate individual low radio
frequency telescopes. Here we generalize this approach from a single antenna to
a two element interferometer and formulate the problem in a manner to allow us
to estimate the flux density of the Sun using the normalized cross-correlations
(visibi... | 0 | 1 | 0 | 0 | 0 | 0 |
Revisiting Activation Regularization for Language RNNs | Recurrent neural networks (RNNs) serve as a fundamental building block for
many sequence tasks across natural language processing. Recent research has
focused on recurrent dropout techniques or custom RNN cells in order to improve
performance. Both of these can require substantial modifications to the machine
learnin... | 1 | 0 | 0 | 0 | 0 | 0 |
Non-equilibrium time dynamics of genetic evolution | Biological systems are typically highly open, non-equilibrium systems that
are very challenging to understand from a statistical mechanics perspective.
While statistical treatments of evolutionary biological systems have a long and
rich history, examination of the time-dependent non-equilibrium dynamics has
been less... | 0 | 0 | 0 | 0 | 1 | 0 |
On the scaling of entropy viscosity in high order methods | In this work, we outline the entropy viscosity method and discuss how the
choice of scaling influences the size of viscosity for a simple shock problem.
We present examples to illustrate the performance of the entropy viscosity
method under two distinct scalings.
| 0 | 0 | 1 | 0 | 0 | 0 |
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification | Convolutional neural networks (CNNs) are similar to "ordinary" neural
networks in the sense that they are made up of hidden layers consisting of
neurons with "learnable" parameters. These neurons receive inputs, performs a
dot product, and then follows it with a non-linearity. The whole network
expresses the mapping ... | 1 | 0 | 0 | 1 | 0 | 0 |
Derivation of the cutoff length from the quantum quadratic enhancement of a mass in vacuum energy constant Lambda | Ultraviolet self-interaction energies in field theory sometimes contain
meaningful physical quantities. The self-energies in such as classical
electrodynamics are usually subtracted from the rest mass. For the consistent
treatment of energies as sources of curvature in the Einstein field equations,
this study include... | 0 | 1 | 0 | 0 | 0 | 0 |
Exact MAP Inference by Avoiding Fractional Vertices | Given a graphical model, one essential problem is MAP inference, that is,
finding the most likely configuration of states according to the model.
Although this problem is NP-hard, large instances can be solved in practice. A
major open question is to explain why this is true. We give a natural condition
under which w... | 1 | 0 | 0 | 1 | 0 | 0 |
Study on a Poisson's Equation Solver Based On Deep Learning Technique | In this work, we investigated the feasibility of applying deep learning
techniques to solve Poisson's equation. A deep convolutional neural network is
set up to predict the distribution of electric potential in 2D or 3D cases.
With proper training data generated from a finite difference solver, the strong
approximati... | 1 | 1 | 0 | 0 | 0 | 0 |
On the compressibility of the transition-metal carbides and nitrides alloys Zr_xNb_{1-x}C and Zr_xNb_{1-x}N | The 4d-transition-metals carbides (ZrC, NbC) and nitrides (ZrN, NbN) in the
rocksalt structure, as well as their ternary alloys, have been recently studied
by means of a first-principles full potential linearized augmented plane waves
method within the local density approximation. These materials are important
becaus... | 0 | 1 | 0 | 0 | 0 | 0 |
On multifractals: a non-linear study of actigraphy data | This work aimed, to determine the characteristics of activity series from
fractal geometry concepts application, in addition to evaluate the possibility
of identifying individuals with fibromyalgia. Activity level data were
collected from 27 healthy subjects and 27 fibromyalgia patients, with the use
of clock-like de... | 0 | 1 | 0 | 1 | 0 | 0 |
Exact semi-separation of variables in waveguides with nonplanar boundaries | Series expansions of unknown fields $\Phi=\sum\varphi_n Z_n$ in elongated
waveguides are commonly used in acoustics, optics, geophysics, water waves and
other applications, in the context of coupled-mode theories (CMTs). The
transverse functions $Z_n$ are determined by solving local Sturm-Liouville
problems (referenc... | 0 | 0 | 1 | 0 | 0 | 0 |
Universality for eigenvalue algorithms on sample covariance matrices | We prove a universal limit theorem for the halting time, or iteration count,
of the power/inverse power methods and the QR eigenvalue algorithm.
Specifically, we analyze the required number of iterations to compute extreme
eigenvalues of random, positive-definite sample covariance matrices to within a
prescribed tole... | 0 | 0 | 1 | 0 | 0 | 0 |
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function | We demonstrate that in residual neural networks (ResNets) dynamical isometry
is achievable irrespectively of the activation function used. We do that by
deriving, with the help of Free Probability and Random Matrix Theories, a
universal formula for the spectral density of the input-output Jacobian at
initialization, ... | 0 | 0 | 0 | 1 | 0 | 0 |
Similarity-based Multi-label Learning | Multi-label classification is an important learning problem with many
applications. In this work, we propose a principled similarity-based approach
for multi-label learning called SML. We also introduce a similarity-based
approach for predicting the label set size. The experimental results
demonstrate the effectivene... | 1 | 0 | 0 | 1 | 0 | 0 |
Burst Synchronization in A Scale-Free Neuronal Network with Inhibitory Spike-Timing-Dependent Plasticity | We are concerned about burst synchronization (BS), related to neural
information processes in health and disease, in the Barabási-Albert
scale-free network (SFN) composed of inhibitory bursting Hindmarsh-Rose
neurons. This inhibitory neuronal population has adaptive dynamic synaptic
strengths governed by the inhibito... | 0 | 0 | 0 | 0 | 1 | 0 |
The Arrow of Time in the collapse of collisionless self-gravitating systems: non-validity of the Vlasov-Poisson equation during violent relaxation | The collapse of a collisionless self-gravitating system, with the fast
achievement of a quasi-stationary state, is driven by violent relaxation, with
a typical particle interacting with the time-changing collective potential. It
is traditionally assumed that this evolution is governed by the Vlasov-Poisson
equation, ... | 0 | 1 | 0 | 0 | 0 | 0 |
Numerical Observation of Parafermion Zero Modes and their Stability in 2D Topological States | The possibility of realizing non-Abelian excitations (non-Abelions) in
two-dimensional (2D) Abelian states of matter has generated a lot of interest
recently. A well-known example of such non-Abelions are parafermion zeros modes
(PFZMs) which can be realized at the endpoints of the so called genons in
fractional quan... | 0 | 1 | 0 | 0 | 0 | 0 |
Stochastic Optimal Control of Epidemic Processes in Networks | We approach the development of models and control strategies of
susceptible-infected-susceptible (SIS) epidemic processes from the perspective
of marked temporal point processes and stochastic optimal control of stochastic
differential equations (SDEs) with jumps. In contrast to previous work, this
novel perspective ... | 1 | 0 | 0 | 0 | 0 | 0 |
Improved upper bounds in the moving sofa problem | The moving sofa problem, posed by L. Moser in 1966, asks for the planar shape
of maximal area that can move around a right-angled corner in a hallway of unit
width. It is known that a maximal area shape exists, and that its area is at
least 2.2195... - the area of an explicit construction found by Gerver in 1992
- an... | 0 | 0 | 1 | 0 | 0 | 0 |
Neural correlates of episodic memory in the Memento cohort | IntroductionThe free and cued selective reminding test is used to identify
memory deficits in mild cognitive impairment and demented patients. It allows
assessing three processes: encoding, storage, and recollection of verbal
episodic memory.MethodsWe investigated the neural correlates of these three
memory processes... | 0 | 0 | 0 | 0 | 1 | 0 |
Neighborhood-Based Label Propagation in Large Protein Graphs | Understanding protein function is one of the keys to understanding life at
the molecular level. It is also important in several scenarios including human
disease and drug discovery. In this age of rapid and affordable biological
sequencing, the number of sequences accumulating in databases is rising with an
increasin... | 1 | 0 | 0 | 0 | 0 | 0 |
Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions | Compressive sensing is a powerful technique for recovering sparse solutions
of underdetermined linear systems, which is often encountered in uncertainty
quantification analysis of expensive and high-dimensional physical models. We
perform numerical investigations employing several compressive sensing solvers
that tar... | 0 | 1 | 0 | 1 | 0 | 0 |
Closure Properties in the Class of Multiple Context Free Groups | We show that the class of groups with $k$-multiple context-free word problem
is closed under graphs of groups with finite edge groups.
| 1 | 0 | 1 | 0 | 0 | 0 |
Random gauge models of the superconductor-insulator transition in two-dimensional disordered superconductors | We study numerically the superconductor-insulator transition in
two-dimensional inhomogeneous superconductors with gauge disorder, described by
four different quantum rotor models: a gauge glass, a flux glass, a binary
phase glass and a Gaussian phase glass. The first two models, describe the
combined effect of geome... | 0 | 1 | 0 | 0 | 0 | 0 |
Extended quantum field theory, index theory and the parity anomaly | We use techniques from functorial quantum field theory to provide a geometric
description of the parity anomaly in fermionic systems coupled to background
gauge and gravitational fields on odd-dimensional spacetimes. We give an
explicit construction of a geometric cobordism bicategory which incorporates
general backg... | 0 | 1 | 1 | 0 | 0 | 0 |
Learning Graphical Models Using Multiplicative Weights | We give a simple, multiplicative-weight update algorithm for learning
undirected graphical models or Markov random fields (MRFs). The approach is
new, and for the well-studied case of Ising models or Boltzmann machines, we
obtain an algorithm that uses a nearly optimal number of samples and has
quadratic running time... | 1 | 0 | 1 | 1 | 0 | 0 |
Neutron response of PARIS phoswich detector | We have studied neutron response of PARIS phoswich [LaBr$_3$(Ce)-NaI(Tl)]
detector which is being developed for measuring the high energy (E$_{\gamma}$ =
5 - 30 MeV) $\gamma$ rays emitted from the decay of highly collective states in
atomic nuclei. The relative neutron detection efficiency of LaBr$_3$(Ce) and
NaI(Tl)... | 0 | 1 | 0 | 0 | 0 | 0 |
Swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks | The mine detection in an unexplored area is an optimization problem where
multiple mines, randomly distributed throughout an area, need to be discovered
and disarmed in a minimum amount of time. We propose a strategy to explore an
unknown area, using a stigmergy approach based on ants behavior, and a novel
swarm base... | 1 | 0 | 0 | 0 | 0 | 0 |
A polynomial time knot polynomial | We present the strongest known knot invariant that can be computed
effectively (in polynomial time).
| 0 | 0 | 1 | 0 | 0 | 0 |
Corruption-free scheme of entering into contract: mathematical model | The main purpose of this paper is to formalize the modelling process,
analysis and mathematical definition of corruption when entering into a
contract between principal agent and producers. The formulation of the problem
and the definition of concepts for the general case are considered. For
definiteness, all calcula... | 0 | 0 | 0 | 0 | 0 | 1 |
Geometric Biplane Graphs I: Maximal Graphs | We study biplane graphs drawn on a finite planar point set $S$ in general
position. This is the family of geometric graphs whose vertex set is $S$ and
can be decomposed into two plane graphs. We show that two maximal biplane
graphs---in the sense that no edge can be added while staying biplane---may
differ in the num... | 1 | 0 | 0 | 0 | 0 | 0 |
A Multiobjective Approach to Multimicrogrid System Design | The main goal of this paper is to design a market operator (MO) and a
distribution network operator (DNO) for a network of microgrids in
consideration of multiple objectives. This is a high-level design and only
those microgrids with nondispatchable renewable energy sources are considered.
For a power grid in the net... | 1 | 0 | 0 | 0 | 0 | 0 |
Neural Architecture for Question Answering Using a Knowledge Graph and Web Corpus | In Web search, entity-seeking queries often trigger a special Question
Answering (QA) system. It may use a parser to interpret the question to a
structured query, execute that on a knowledge graph (KG), and return direct
entity responses. QA systems based on precise parsing tend to be brittle: minor
syntax variations... | 1 | 0 | 0 | 0 | 0 | 0 |
Calculating the closed ordinal Ramsey number $R^{cl}(ω\cdot 2,3)^2$ | We show that $R^{cl}(\omega\cdot 2,3)^2$ is equal to $\omega^3\cdot 2$.
| 0 | 0 | 1 | 0 | 0 | 0 |
A spatially explicit capture recapture model for partially identified individuals when trap detection rate is less than one | Spatially explicit capture recapture (SECR) models have gained enormous
popularity to solve abundance estimation problems in ecology. In this study, we
develop a novel Bayesian SECR model that disentangles the process of animal
movement through a detector from the process of recording data by a detector in
the face o... | 0 | 0 | 0 | 1 | 0 | 0 |
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery | Obtaining models that capture imaging markers relevant for disease
progression and treatment monitoring is challenging. Models are typically based
on large amounts of data with annotated examples of known markers aiming at
automating detection. High annotation effort and the limitation to a vocabulary
of known marker... | 1 | 0 | 0 | 0 | 0 | 0 |
ZOOpt: Toolbox for Derivative-Free Optimization | Recent advances of derivative-free optimization allow efficient approximating
the global optimal solutions of sophisticated functions, such as functions with
many local optima, non-differentiable and non-continuous functions. This
article describes the ZOOpt (this https URL) toolbox that
provides efficient derivative... | 0 | 0 | 0 | 1 | 0 | 0 |
Non-Gaussian Stochastic Volatility Model with Jumps via Gibbs Sampler | In this work, we propose a model for estimating volatility from financial
time series, extending the non-Gaussian family of space-state models with exact
marginal likelihood proposed by Gamerman, Santos and Franco (2013). On the
literature there are models focused on estimating financial assets risk,
however, most of... | 0 | 0 | 0 | 0 | 0 | 1 |
Smart Guiding Glasses for Visually Impaired People in Indoor Environment | To overcome the travelling difficulty for the visually impaired group, this
paper presents a novel ETA (Electronic Travel Aids)-smart guiding device in the
shape of a pair of eyeglasses for giving these people guidance efficiently and
safely. Different from existing works, a novel multi sensor fusion based
obstacle a... | 1 | 0 | 0 | 0 | 0 | 0 |
Recurrent Poisson Factorization for Temporal Recommendation | Poisson factorization is a probabilistic model of users and items for
recommendation systems, where the so-called implicit consumer data is modeled
by a factorized Poisson distribution. There are many variants of Poisson
factorization methods who show state-of-the-art performance on real-world
recommendation tasks. H... | 1 | 0 | 0 | 1 | 0 | 0 |
Categorification of sign-skew-symmetric cluster algebras and some conjectures on g-vectors | Using the unfolding method given in \cite{HL}, we prove the conjectures on
sign-coherence and a recurrence formula respectively of ${\bf g}$-vectors for
acyclic sign-skew-symmetric cluster algebras. As a following consequence, the
conjecture is affirmed in the same case which states that the ${\bf g}$-vectors
of any ... | 0 | 0 | 1 | 0 | 0 | 0 |
Capacitated Bounded Cardinality Hub Routing Problem: Model and Solution Algorithm | In this paper, we address the Bounded Cardinality Hub Location Routing with
Route Capacity wherein each hub acts as a transshipment node for one directed
route. The number of hubs lies between a minimum and a maximum and the
hub-level network is a complete subgraph. The transshipment operations take
place at the hub ... | 0 | 0 | 1 | 0 | 0 | 0 |
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network | One of recent trends [30, 31, 14] in network architec- ture design is
stacking small filters (e.g., 1x1 or 3x3) in the entire network because the
stacked small filters is more ef- ficient than a large kernel, given the same
computational complexity. However, in the field of semantic segmenta- tion,
where we need to p... | 1 | 0 | 0 | 0 | 0 | 0 |
Is ram-pressure stripping an efficient mechanism to remove gas in galaxies? | We study how the gas in a sample of galaxies (M* > 10e9 Msun) in clusters,
obtained in a cosmological simulation, is affected by the interaction with the
intra-cluster medium (ICM). The dynamical state of each elemental parcel of gas
is studied using the total energy. At z ~ 2, the galaxies in the simulation are
even... | 0 | 1 | 0 | 0 | 0 | 0 |
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data | We present hidden fluid mechanics (HFM), a physics informed deep learning
framework capable of encoding an important class of physical laws governing
fluid motions, namely the Navier-Stokes equations. In particular, we seek to
leverage the underlying conservation laws (i.e., for mass, momentum, and
energy) to infer h... | 0 | 0 | 0 | 1 | 0 | 0 |
Testing Network Structure Using Relations Between Small Subgraph Probabilities | We study the problem of testing for structure in networks using relations
between the observed frequencies of small subgraphs. We consider the statistics
\begin{align*} T_3 & =(\text{edge frequency})^3 - \text{triangle frequency}\\
T_2 & =3(\text{edge frequency})^2(1-\text{edge frequency}) - \text{V-shape
frequency} ... | 1 | 0 | 1 | 1 | 0 | 0 |
A 3D MHD simulation of SN 1006: a polarized emission study for the turbulent case | Three dimensional magnetohydrodynamical simulations were carried out in order
to perform a new polarization study of the radio emission of the supernova
remnant SN 1006. These simulations consider that the remnant expands into a
turbulent interstellar medium (including both magnetic field and density
perturbations). ... | 0 | 1 | 0 | 0 | 0 | 0 |
Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network | Automatic mesh-based shape generation is of great interest across a wide
range of disciplines, from industrial design to gaming, computer graphics and
various other forms of digital art. While most traditional methods focus on
primitive based model generation, advances in deep learning made it possible to
learn 3-dim... | 1 | 0 | 0 | 0 | 0 | 0 |
Combined analysis of galaxy cluster number count, thermal Sunyaev-Zel'dovich power spectrum, and bispectrum | The Sunyaev-Zel'dovich (SZ) effect is a powerful probe of the evolution of
structures in the universe, and is thus highly sensitive to cosmological
parameters $\sigma_8$ and $\Omega_m$, though its power is hampered by the
current uncertainties on the cluster mass calibration. In this analysis we
revisit constraints o... | 0 | 1 | 0 | 0 | 0 | 0 |
On short cycle enumeration in biregular bipartite graphs | A number of recent works have used a variety of combinatorial constructions
to derive Tanner graphs for LDPC codes and some of these have been shown to
perform well in terms of their probability of error curves and error floors.
Such graphs are bipartite and many of these constructions yield biregular
graphs where th... | 1 | 0 | 1 | 0 | 0 | 0 |
Exhaled breath barbotage: a new method for pulmonary surfactant dysfunction assessment | Exhaled air contains aerosol of submicron droplets of the alveolar lining
fluid (ALF), which are generated in the small airways of a human lung. Since
the exhaled particles are micro-samples of the ALF, their trapping opens up an
opportunity to collect non-invasively a native material from respiratory tract.
Recent s... | 0 | 1 | 0 | 0 | 0 | 0 |
A Computational Study of the Role of Tonal Tension in Expressive Piano Performance | Expressive variations of tempo and dynamics are an important aspect of music
performances, involving a variety of underlying factors. Previous work has
showed a relation between such expressive variations (in particular expressive
tempo) and perceptual characteristics derived from the musical score, such as
musical e... | 1 | 0 | 0 | 0 | 0 | 0 |
On the least upper bound for the settling time of a class of fixed-time stable systems | This paper deals with the convergence time analysis of a class of fixed-time
stable systems with the aim to provide a new non-conservative upper bound for
its settling time. Our contribution is threefold. First, we revisit a
well-known class of fixed-time stable systems showing the conservatism of the
classical upper... | 1 | 0 | 0 | 0 | 0 | 0 |
Self-organization and the Maximum Empower Principle in the Framework of max-plus Algebra | Self-organization is a process where order of a whole system arises out of
local interactions between small components of a system.
Emergy, defined as the amount of (solar) energy used to make a product or a
service, is becoming an important ecological indicator. To explain observed
self-organization of systems by em... | 1 | 1 | 0 | 0 | 0 | 0 |
Nonequilibrium Work and its Hamiltonian Connection for a Microstate in Nonequilibrium Statistical Thermodynamics: A Case of Mistaken Identity | Nonequilibrium work-Hamiltonian connection for a microstate plays a central
role in diverse branches of statistical thermodynamics (fluctuation theorems,
quantum thermodynamics, stochastic thermodynamics, etc.). We show that the
change in the Hamiltonian for a microstate should be identified with the work
done by it,... | 0 | 1 | 0 | 0 | 0 | 0 |
Thick Subcategories of the stable category of modules over the exterior algebra I | We study thick subcategories defined by modules of complexity one in
$\underline{\md}R$, where $R$ is the exterior algebra in $n+1$ indeterminates.
| 0 | 0 | 1 | 0 | 0 | 0 |
Planet-driven spiral arms in protoplanetary disks: II. Implications | We examine whether various characteristics of planet-driven spiral arms can
be used to constrain the masses of unseen planets and their positions within
their disks. By carrying out two-dimensional hydrodynamic simulations varying
planet mass and disk gas temperature, we find that a larger number of spiral
arms form ... | 0 | 1 | 0 | 0 | 0 | 0 |
Ideal structure and pure infiniteness of ample groupoid $C^*$-algebras | In this paper, we study the ideal structure of reduced $C^*$-algebras
$C^*_r(G)$ associated to étale groupoids $G$. In particular, we characterize
when there is a one-to-one correspondence between the closed, two-sided ideals
in $C_r^*(G)$ and the open invariant subsets of the unit space $G^{(0)}$ of
$G$. As a conseq... | 0 | 0 | 1 | 0 | 0 | 0 |
Nonparametric mean curvature type flows of graphs with contact angle conditions | In this paper we study nonparametric mean curvature type flows in
$M\times\mathbb{R}$ which are represented as graphs $(x,u(x,t))$ over a domain
in a Riemannian manifold $M$ with prescribed contact angle. The speed of $u$ is
the mean curvature speed minus an admissible function $\psi(x,u,Du)$. Long time
existence and... | 0 | 0 | 1 | 0 | 0 | 0 |
Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals | In this article we develop a new sequential Monte Carlo (SMC) method for
multilevel (ML) Monte Carlo estimation. In particular, the method can be used
to estimate expectations with respect to a target probability distribution over
an infinite-dimensional and non-compact space as given, for example, by a
Bayesian inve... | 0 | 0 | 0 | 1 | 0 | 0 |
Spontaneous symmetry breaking as a triangular relation between pairs of Goldstone bosons and the degenerate vacuum: Interactions of D-branes | We formulate the Nambu-Goldstone theorem as a triangular relation between
pairs of Goldstone bosons with the degenerate vacuum. The vacuum degeneracy is
then a natural consequence of this relation. Inside the scenario of String
Theory, we then find that there is a correspondence between the way how the
$D$-branes int... | 0 | 1 | 0 | 0 | 0 | 0 |
Differentially Private Dropout | Large data collections required for the training of neural networks often
contain sensitive information such as the medical histories of patients, and
the privacy of the training data must be preserved. In this paper, we introduce
a dropout technique that provides an elegant Bayesian interpretation to
dropout, and sh... | 1 | 0 | 0 | 1 | 0 | 0 |
On (in)stabilities of perturbations in mimetic models with higher derivatives | Usually when applying the mimetic model to the early universe, higher
derivative terms are needed to promote the mimetic field to be dynamical.
However such models suffer from the ghost and/or the gradient instabilities and
simple extensions cannot cure this pathology. We point out in this paper that
it is possible t... | 0 | 1 | 0 | 0 | 0 | 0 |
Quantitative Connection Between Ensemble Thermodynamics and Single-Molecule Kinetics: A Case Study Using Cryogenic Electron Microscopy and Single-Molecule Fluorescence Resonance Energy Transfer Investigations of the Ribosome | At equilibrium, thermodynamic and kinetic information can be extracted from
biomolecular energy landscapes by many techniques. However, while static,
ensemble techniques yield thermodynamic data, often only dynamic,
single-molecule techniques can yield the kinetic data that describes
transition-state energy barriers.... | 0 | 1 | 0 | 0 | 0 | 0 |
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training | Generative Adversarial Networks (GANs) have become a widely popular framework
for generative modelling of high-dimensional datasets. However their training
is well-known to be difficult. This work presents a rigorous statistical
analysis of GANs providing straight-forward explanations for common training
pathologies ... | 0 | 0 | 0 | 1 | 0 | 0 |
METAGUI 3: a graphical user interface for choosing the collective variables in molecular dynamics simulations | Molecular dynamics (MD) simulations allow the exploration of the phase space
of biopolymers through the integration of equations of motion of their
constituent atoms. The analysis of MD trajectories often relies on the choice
of collective variables (CVs) along which the dynamics of the system is
projected. We develo... | 0 | 1 | 0 | 0 | 0 | 0 |
Model compression as constrained optimization, with application to neural nets. Part II: quantization | We consider the problem of deep neural net compression by quantization: given
a large, reference net, we want to quantize its real-valued weights using a
codebook with $K$ entries so that the training loss of the quantized net is
minimal. The codebook can be optimally learned jointly with the net, or fixed,
as for bi... | 1 | 0 | 1 | 1 | 0 | 0 |
Three Skewed Matrix Variate Distributions | Three-way data can be conveniently modelled by using matrix variate
distributions. Although there has been a lot of work for the matrix variate
normal distribution, there is little work in the area of matrix skew
distributions. Three matrix variate distributions that incorporate skewness, as
well as other flexible pr... | 0 | 0 | 1 | 1 | 0 | 0 |
Anticipating Persistent Infection | We explore the emergence of persistent infection in a closed region where the
disease progression of the individuals is given by the SIRS model, with an
individual becoming infected on contact with another infected individual within
a given range. We focus on the role of synchronization in the persistence of
contagio... | 0 | 0 | 0 | 0 | 1 | 0 |
The first global-scale 30 m resolution mangrove canopy height map using Shuttle Radar Topography Mission data | No high-resolution canopy height map exists for global mangroves. Here we
present the first global mangrove height map at a consistent 30 m pixel
resolution derived from digital elevation model data collected through shuttle
radar topography mission. Additionally, we refined the current global mangrove
area maps by d... | 0 | 1 | 0 | 0 | 0 | 0 |
Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network | Accurate estimation of regional wall thicknesses (RWT) of left ventricular
(LV) myocardium from cardiac MR sequences is of significant importance for
identification and diagnosis of cardiac disease. Existing RWT estimation still
relies on segmentation of LV myocardium, which requires strong prior
information and user... | 1 | 0 | 0 | 0 | 0 | 0 |
Non-dipole recollision-gated double ionization and observable effects | Using a three-dimensional semiclassical model, we study double ionization for
strongly-driven He fully accounting for magnetic field effects. For linearly
and slightly elliptically polarized laser fields, we show that recollisions and
the magnetic field combined act as a gate. This gate favors more transverse -
with ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Survey of Active Attacks on Wireless Sensor Networks and their Countermeasures | Lately, Wireless Sensor Networks (WSNs) have become an emerging technology
and can be utilized in some crucial circumstances like battlegrounds,
commercial applications, habitat observing, buildings, smart homes, traffic
surveillance and other different places. One of the foremost difficulties that
WSN faces nowadays... | 1 | 0 | 0 | 0 | 0 | 0 |
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees | We present a new Frank-Wolfe (FW) type algorithm that is applicable to
minimization problems with a nonsmooth convex objective. We provide convergence
bounds and show that the scheme yields so-called coreset results for various
Machine Learning problems including 1-median, Balanced Development, Sparse PCA,
Graph Cuts... | 1 | 0 | 0 | 1 | 0 | 0 |
The problem of boundary conditions for the shallow water equations (Russian) | The problem of choice of boundary conditions are discussed for the case of
numerical integration of the shallow water equations on a substantially
irregular relief. In modeling of unsteady surface water flows has a dynamic
boundary partitioning liquid and dry bottom. The situation is complicated by
the emergence of s... | 0 | 1 | 0 | 0 | 0 | 0 |
The exit time finite state projection scheme: bounding exit distributions and occupation measures of continuous-time Markov chains | We introduce the exit time finite state projection (ETFSP) scheme, a
truncation-based method that yields approximations to the exit distribution and
occupation measure associated with the time of exit from a domain (i.e., the
time of first passage to the complement of the domain) of time-homogeneous
continuous-time M... | 0 | 0 | 0 | 0 | 1 | 0 |
Ontological Multidimensional Data Models and Contextual Data Qality | Data quality assessment and data cleaning are context-dependent activities.
Motivated by this observation, we propose the Ontological Multidimensional Data
Model (OMD model), which can be used to model and represent contexts as
logic-based ontologies. The data under assessment is mapped into the context,
for addition... | 1 | 0 | 0 | 0 | 0 | 0 |
Time-Assisted Authentication Protocol | Authentication is the first step toward establishing a service provider and
customer (C-P) association. In a mobile network environment, a lightweight and
secure authentication protocol is one of the most significant factors to
enhance the degree of service persistence. This work presents a secure and
lightweight key... | 1 | 0 | 0 | 0 | 0 | 0 |
Improved Bounds for Online Dominating Sets of Trees | The online dominating set problem is an online variant of the minimum
dominating set problem, which is one of the most important NP-hard problems on
graphs. This problem is defined as follows: Given an undirected graph $G = (V,
E)$, in which $V$ is a set of vertices and $E$ is a set of edges. We say that a
set $D \su... | 1 | 0 | 0 | 0 | 0 | 0 |
Systematical design and three-dimensional simulation of X-ray FEL oscillator for Shanghai Coherent Light Facility | Shanghai Coherent Light Facility (SCLF) is a quasi-CW hard X-ray free
electron laser user facility which is recently proposed. Due to the high
repetition rate, high quality electron beams, it is straightforward to consider
an X-ray free electron laser oscillator (XFELO) operation for SCLF. The main
processes for XFEL... | 0 | 1 | 0 | 0 | 0 | 0 |
Who is the infector? Epidemic models with symptomatic and asymptomatic cases | What role do asymptomatically infected individuals play in the transmission
dynamics? There are many diseases, such as norovirus and influenza, where some
infected hosts show symptoms of the disease while others are asymptomatically
infected, i.e. do not show any symptoms. The current paper considers a class of
epide... | 0 | 0 | 0 | 0 | 1 | 0 |
Calibration of a two-state pitch-wise HMM method for note segmentation in Automatic Music Transcription systems | Many methods for automatic music transcription involves a multi-pitch
estimation method that estimates an activity score for each pitch. A second
processing step, called note segmentation, has to be performed for each pitch
in order to identify the time intervals when the notes are played. In this
study, a pitch-wise... | 1 | 0 | 0 | 1 | 0 | 0 |
Action-depedent Control Variates for Policy Optimization via Stein's Identity | Policy gradient methods have achieved remarkable successes in solving
challenging reinforcement learning problems. However, it still often suffers
from the large variance issue on policy gradient estimation, which leads to
poor sample efficiency during training. In this work, we propose a control
variate method to ef... | 1 | 0 | 0 | 1 | 0 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.