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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Parametric Inference for Discretely Observed Subordinate Diffusions | Subordinate diffusions are constructed by time changing diffusion processes
with an independent Lévy subordinator. This is a rich family of Markovian
jump processes which exhibit a variety of jump behavior and have found many
applications. This paper studies parametric inference of discretely observed
ergodic subordi... | 0 | 0 | 1 | 1 | 0 | 0 |
Adversarially Regularized Graph Autoencoder for Graph Embedding | Graph embedding is an effective method to represent graph data in a low
dimensional space for graph analytics. Most existing embedding algorithms
typically focus on preserving the topological structure or minimizing the
reconstruction errors of graph data, but they have mostly ignored the data
distribution of the lat... | 0 | 0 | 0 | 1 | 0 | 0 |
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group | We introduce a novel approach to perform first-order optimization with
orthogonal and unitary constraints. This approach is based on a parametrization
stemming from Lie group theory through the exponential map. The parametrization
transforms the constrained optimization problem into an unconstrained one over
a Euclid... | 1 | 0 | 0 | 1 | 0 | 0 |
Training Big Random Forests with Little Resources | Without access to large compute clusters, building random forests on large
datasets is still a challenging problem. This is, in particular, the case if
fully-grown trees are desired. We propose a simple yet effective framework that
allows to efficiently construct ensembles of huge trees for hundreds of
millions or ev... | 0 | 0 | 0 | 1 | 0 | 0 |
Epitaxy of Advanced Nanowire Quantum Devices | Semiconductor nanowires provide an ideal platform for various low-dimensional
quantum devices. In particular, topological phases of matter hosting
non-Abelian quasi-particles can emerge when a semiconductor nanowire with
strong spin-orbit coupling is brought in contact with a superconductor. To
fully exploit the pote... | 0 | 1 | 0 | 0 | 0 | 0 |
Toward universality in degree 2 of the Kricker lift of the Kontsevich integral and the Lescop equivariant invariant | In the setting of finite type invariants for null-homologous knots in
rational homology 3-spheres with respect to null Lagrangian-preserving
surgeries, there are two candidates to be universal invariants, defined
respectively by Kricker and Lescop. In a previous paper, the second author
defined maps between spaces of... | 0 | 0 | 1 | 0 | 0 | 0 |
Automatic segmentation of MR brain images with a convolutional neural network | Automatic segmentation in MR brain images is important for quantitative
analysis in large-scale studies with images acquired at all ages.
This paper presents a method for the automatic segmentation of MR brain
images into a number of tissue classes using a convolutional neural network. To
ensure that the method obtai... | 1 | 0 | 0 | 0 | 0 | 0 |
Integrable Structure of Multispecies Zero Range Process | We present a brief review on integrability of multispecies zero range process
in one dimension introduced recently. The topics range over stochastic $R$
matrices of quantum affine algebra $U_q (A^{(1)}_n)$, matrix product
construction of stationary states for periodic systems, $q$-boson
representation of Zamolodchiko... | 0 | 1 | 1 | 0 | 0 | 0 |
A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates | Clinical trial registries can be used to monitor the production of trial
evidence and signal when systematic reviews become out of date. However, this
use has been limited to date due to the extensive manual review required to
search for and screen relevant trial registrations. Our aim was to evaluate a
new method th... | 1 | 0 | 0 | 0 | 0 | 0 |
Spectra of Magnetic Operators on the Diamond Lattice Fractal | We adapt the well-known spectral decimation technique for computing spectra
of Laplacians on certain symmetric self-similar sets to the case of magnetic
Schrodinger operators and work through this method completely for the diamond
lattice fractal. This connects results of physicists from the 1980's, who used
similar ... | 0 | 0 | 1 | 0 | 0 | 0 |
Arrow calculus for welded and classical links | We develop a calculus for diagrams of knotted objects. We define Arrow
presentations, which encode the crossing informations of a diagram into arrows
in a way somewhat similar to Gauss diagrams, and more generally w-tree
presentations, which can be seen as `higher order Gauss diagrams'. This Arrow
calculus is used to... | 0 | 0 | 1 | 0 | 0 | 0 |
Determinacy of Schmidt's Game and Other Intersection Games | Schmidt's game, and other similar intersection games have played an important
role in recent years in applications to number theory, dynamics, and
Diophantine approximation theory. These games are real games, that is, games in
which the players make moves from a complete separable metric space. The
determinacy of the... | 0 | 0 | 1 | 0 | 0 | 0 |
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds | Kernel $k$-means clustering can correctly identify and extract a far more
varied collection of cluster structures than the linear $k$-means clustering
algorithm. However, kernel $k$-means clustering is computationally expensive
when the non-linear feature map is high-dimensional and there are many input
points. Kerne... | 1 | 0 | 0 | 1 | 0 | 0 |
Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data | The classification of time series data is a challenge common to all
data-driven fields. However, there is no agreement about which are the most
efficient techniques to group unlabeled time-ordered data. This is because a
successful classification of time series patterns depends on the goal and the
domain of interest,... | 1 | 0 | 0 | 1 | 0 | 0 |
On the bound states of magnetic Laplacians on wedges | This paper is mainly inspired by the conjecture about the existence of bound
states for magnetic Neumann Laplacians on planar wedges of any aperture
$\phi\in (0,\pi)$. So far, a proof was only obtained for apertures
$\phi\lesssim 0.511\pi$. The conviction in the validity of this conjecture for
apertures $\phi\gtrsim ... | 0 | 0 | 1 | 0 | 0 | 0 |
Finite-Time Distributed Linear Equation Solver for Minimum $l_1$ Norm Solutions | This paper proposes distributed algorithms for multi-agent networks to
achieve a solution in finite time to a linear equation $Ax=b$ where $A$ has
full row rank, and with the minimum $l_1$-norm in the underdetermined case
(where $A$ has more columns than rows). The underlying network is assumed to be
undirected and f... | 1 | 0 | 0 | 0 | 0 | 0 |
High Throughput Probabilistic Shaping with Product Distribution Matching | Product distribution matching (PDM) is proposed to generate target
distributions over large alphabets by combining the output of several parallel
distribution matchers (DMs) with smaller output alphabets. The parallel
architecture of PDM enables low-complexity and high-throughput implementation.
PDM is used as a shap... | 1 | 0 | 0 | 0 | 0 | 0 |
Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor | Last decade witnesses significant methodological and theoretical advances in
estimating large precision matrices. In particular, there are scientific
applications such as longitudinal data, meteorology and spectroscopy in which
the ordering of the variables can be interpreted through a bandable structure
on the Chole... | 0 | 0 | 1 | 1 | 0 | 0 |
Machine learning in protein engineering | Machine learning-guided protein engineering is a new paradigm that enables
the optimization of complex protein functions. Machine-learning methods use
data to predict protein function without requiring a detailed model of the
underlying physics or biological pathways. They accelerate protein engineering
by learning f... | 0 | 0 | 0 | 0 | 1 | 0 |
Advanced Steel Microstructural Classification by Deep Learning Methods | The inner structure of a material is called microstructure. It stores the
genesis of a material and determines all its physical and chemical properties.
While microstructural characterization is widely spread and well known, the
microstructural classification is mostly done manually by human experts, which
gives rise... | 1 | 1 | 0 | 0 | 0 | 0 |
Categorizing Hirsch Index Variants | Utilizing the Hirsch index h and some of its variants for an exploratory
factor analysis we discuss whether one of the most important Hirsch-type
indices, namely the g-index comprises information about not only the size of
the productive core but also the impact of the papers in the core. We also
study the effect of ... | 1 | 0 | 0 | 1 | 0 | 0 |
Why a Population Genetics Framework is Inappropriate for Cultural Evolution | Although Darwinian models are rampant in the social sciences, social
scientists do not face the problem that motivated Darwin's theory of natural
selection: the problem of explaining how lineages evolve despite that any
traits they acquire are regularly discarded at the end of the lifetime of the
individuals that acq... | 0 | 0 | 0 | 0 | 1 | 0 |
Is together better? Examining scientific collaborations across multiple authors, institutions, and departments | Collaborations are an integral part of scientific research and publishing. In
the past, access to large-scale corpora has limited the ways in which questions
about collaborations could be investigated. However, with improvements in
data/metadata quality and access, it is possible to explore the idea of
research colla... | 1 | 0 | 0 | 0 | 0 | 0 |
A Lichnerowicz estimate for the spectral gap of the sub-Laplacian | For a second order operator on a compact manifold satisfying the strong
Hörmander condition, we give a bound for the spectral gap analogous to the
Lichnerowicz estimate for the Laplacian of a Riemannian manifold. We consider a
wide class of such operators which includes horizontal lifts of the Laplacian
on Riemannian... | 0 | 0 | 1 | 0 | 0 | 0 |
Quasiclassical theory of spin dynamics in superfluid $^3$He: kinetic equations in the bulk and spin response of surface Majorana states | We develop a theory based on the formalism of quasiclassical Green's
functions to study the spin dynamics in superfluid $^3$He. First, we derive
kinetic equations for the spin-dependent distribution function in the bulk
superfluid reproducing the results obtained earlier without quasiclassical
approximation. Then we ... | 0 | 1 | 0 | 0 | 0 | 0 |
The RBO Dataset of Articulated Objects and Interactions | We present a dataset with models of 14 articulated objects commonly found in
human environments and with RGB-D video sequences and wrenches recorded of
human interactions with them. The 358 interaction sequences total 67 minutes of
human manipulation under varying experimental conditions (type of interaction,
lightin... | 1 | 0 | 0 | 0 | 0 | 0 |
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN | We relate the minimax game of generative adversarial networks (GANs) to
finding the saddle points of the Lagrangian function for a convex optimization
problem, where the discriminator outputs and the distribution of generator
outputs play the roles of primal variables and dual variables, respectively.
This formulatio... | 0 | 0 | 0 | 1 | 0 | 0 |
A Detailed Observational Analysis of V1324 Sco, the Most Gamma-Ray Luminous Classical Nova to Date | It has recently been discovered that some, if not all, classical novae emit
GeV gamma rays during outburst, but the mechanisms involved in the production
of the gamma rays are still not well understood. We present here a
comprehensive multi-wavelength dataset---from radio to X-rays---for the most
gamma-ray luminous c... | 0 | 1 | 0 | 0 | 0 | 0 |
The California-Kepler Survey. III. A Gap in the Radius Distribution of Small Planets | The size of a planet is an observable property directly connected to the
physics of its formation and evolution. We used precise radius measurements
from the California-Kepler Survey (CKS) to study the size distribution of 2025
$\textit{Kepler}$ planets in fine detail. We detect a factor of $\geq$2 deficit
in the occ... | 0 | 1 | 0 | 0 | 0 | 0 |
Large sets avoiding linear patterns | We prove that for any dimension function $h$ with $h \prec x^d$ and for any
countable set of linear patterns, there exists a compact set $E$ with
$\mathcal{H}^h(E)>0$ avoiding all the given patterns. We also give several
applications and recover results of Keleti, Maga, and Máthé.
| 0 | 0 | 1 | 0 | 0 | 0 |
Faster Algorithms for Weighted Recursive State Machines | Pushdown systems (PDSs) and recursive state machines (RSMs), which are
linearly equivalent, are standard models for interprocedural analysis. Yet RSMs
are more convenient as they (a) explicitly model function calls and returns,
and (b) specify many natural parameters for algorithmic analysis, e.g., the
number of entr... | 1 | 0 | 0 | 0 | 0 | 0 |
Local Density Approximation for Almost-Bosonic Anyons | We discuss the average-field approximation for a trapped gas of
non-interacting anyons in the quasi-bosonic regime. In the homogeneous case,
i.e., for a confinement to a bounded region, we prove that the energy in the
regime of large statistics parameter, i.e., for "less-bosonic" anyons, is
independent of boundary co... | 0 | 1 | 1 | 0 | 0 | 0 |
Chemical dynamics between wells across a time-dependent barrier: Self-similarity in the Lagrangian descriptor and reactive basins | In chemical or physical reaction dynamics, it is essential to distinguish
precisely between reactants and products for all time. This task is especially
demanding in time-dependent or driven systems because therein the dividing
surface (DS) between these states often exhibits a nontrivial time-dependence.
The so-call... | 0 | 1 | 0 | 0 | 0 | 0 |
Dust-trapping vortices and a potentially planet-triggered spiral wake in the pre-transitional disk of V1247 Orionis | The radial drift problem constitutes one of the most fundamental problems in
planet formation theory, as it predicts particles to drift into the star before
they are able to grow to planetesimal size. Dust-trapping vortices have been
proposed as a possible solution to this problem, as they might be able to trap
parti... | 0 | 1 | 0 | 0 | 0 | 0 |
Weak and smooth solutions for a fractional Yamabe flow: the case of general compact and locally conformally flat manifolds | As a counterpart of the classical Yamabe problem, a fractional Yamabe flow
has been introduced by Jin and Xiong (2014) on the sphere. Here we pursue its
study in the context of general compact smooth manifolds with positive
fractional curvature. First, we prove that the flow is locally well posed in
the weak sense on... | 0 | 0 | 1 | 0 | 0 | 0 |
Lipschitz Properties for Deep Convolutional Networks | In this paper we discuss the stability properties of convolutional neural
networks. Convolutional neural networks are widely used in machine learning. In
classification they are mainly used as feature extractors. Ideally, we expect
similar features when the inputs are from the same class. That is, we hope to
see a sm... | 1 | 0 | 1 | 0 | 0 | 0 |
Quadrature Compound: An approximating family of distributions | Compound distributions allow construction of a rich set of distributions.
Typically they involve an intractable integral. Here we use a quadrature
approximation to that integral to define the quadrature compound family.
Special care is taken that this approximation is suitable for computation of
gradients with respec... | 0 | 0 | 0 | 1 | 0 | 0 |
Centrality in Modular Networks | Identifying influential nodes in a network is a fundamental issue due to its
wide applications, such as accelerating information diffusion or halting virus
spreading. Many measures based on the network topology have emerged over the
years to identify influential nodes such as Betweenness, Closeness, and
Eigenvalue ce... | 1 | 0 | 0 | 0 | 0 | 0 |
Yield Trajectory Tracking for Hyperbolic Age-Structured Population Systems | For population systems modeled by age-structured hyperbolic partial
differential equations (PDEs) that are bilinear in the input and evolve with a
positive-valued infinite-dimensional state, global stabilization of constant
yield set points was achieved in prior work. Seasonal demands in
biotechnological production p... | 1 | 0 | 1 | 0 | 0 | 0 |
A sixteen-relator presentation of an infinite hyperbolic Kazhdan group | We provide an explicit presentation of an infinite hyperbolic Kazhdan group
with $4$ generators and $16$ relators of length at most $73$. That group acts
properly and cocompactly on a hyperbolic triangle building of type $(3,4,4)$.
We also point out a variation of the construction that yields examples of
lattices in ... | 0 | 0 | 1 | 0 | 0 | 0 |
Fast and accurate Bayesian model criticism and conflict diagnostics using R-INLA | Bayesian hierarchical models are increasingly popular for realistic modelling
and analysis of complex data. This trend is accompanied by the need for
flexible, general, and computationally efficient methods for model criticism
and conflict detection. Usually, a Bayesian hierarchical model incorporates a
grouping of t... | 0 | 0 | 1 | 1 | 0 | 0 |
Optimizing deep video representation to match brain activity | The comparison of observed brain activity with the statistics generated by
artificial intelligence systems is useful to probe brain functional
organization under ecological conditions. Here we study fMRI activity in ten
subjects watching color natural movies and compute deep representations of
these movies with an ar... | 0 | 0 | 0 | 0 | 1 | 0 |
Non-Abelian Fermionization and Fractional Quantum Hall Transitions | There has been a recent surge of interest in dualities relating theories of
Chern-Simons gauge fields coupled to either bosons or fermions within the
condensed matter community, particularly in the context of topological
insulators and the half-filled Landau level. Here, we study the application of
one such duality t... | 0 | 1 | 0 | 0 | 0 | 0 |
Periodic solutions and regularization of a Kepler problem with time-dependent perturbation | We consider a Kepler problem in dimension two or three, with a time-dependent
$T$-periodic perturbation. We prove that for any prescribed positive integer
$N$, there exist at least $N$ periodic solutions (with period $T$) as long as
the perturbation is small enough. Here the solutions are understood in a
general sens... | 0 | 0 | 1 | 0 | 0 | 0 |
Ultra-wide-band slow light in photonic crystal coupled-cavity waveguides | Slow light propagation in structured materials is a highly promising approach
for realizing on-chip integrated photonic devices based on enhanced optical
nonlinearities. One of the most successful research avenues consists in
engineering the band dispersion of light-guiding photonic crystal (PC)
structures. The prima... | 0 | 1 | 0 | 0 | 0 | 0 |
Sketch Layer Separation in Multi-Spectral Historical Document Images | High-resolution imaging has delivered new prospects for detecting the
material composition and structure of cultural treasures. Despite the various
techniques for analysis, a significant diagnostic gap remained in the range of
available research capabilities for works on paper. Old master drawings were
mostly compose... | 1 | 0 | 0 | 0 | 0 | 0 |
Comment on "Spatial optical solitons in highly nonlocal media" and related papers | In a recent paper [A. Alberucci, C. Jisha, N. Smyth, and G. Assanto, Phys.
Rev. A 91, 013841 (2015)], Alberucci et al. have studied the propagation of
bright spatial solitary waves in highly nonlocal media. We find that the main
results in that and related papers, concerning soliton shape and dynamics,
based on the a... | 0 | 1 | 0 | 0 | 0 | 0 |
Local Descriptor for Robust Place Recognition using LiDAR Intensity | Place recognition is a challenging problem in mobile robotics, especially in
unstructured environments or under viewpoint and illumination changes. Most
LiDAR-based methods rely on geometrical features to overcome such challenges,
as generally scene geometry is invariant to these changes, but tend to affect
camera-ba... | 1 | 0 | 0 | 0 | 0 | 0 |
Assessing the performance of self-consistent hybrid functional for band gap calculation in oxide semiconductors | In this paper we assess the predictive power of the self-consistent hybrid
functional scPBE0 in calculating the band gap of oxide semiconductors. The
computational procedure is based on the self-consistent evaluation of the
mixing parameter $\alpha$ by means of an iterative calculation of the static
dielectric consta... | 0 | 1 | 0 | 0 | 0 | 0 |
Local Synchronization of Sampled-Data Systems on Lie Groups | We present a smooth distributed nonlinear control law for local
synchronization of identical driftless kinematic agents on a Cartesian product
of matrix Lie groups with a connected communication graph. If the agents are
initialized sufficiently close to one another, then synchronization is achieved
exponentially fast... | 1 | 0 | 1 | 0 | 0 | 0 |
On the orbits that generate the X-shape in the Milky Way bulge | The Milky Way bulge shows a box/peanut or X-shaped bulge (hereafter BP/X)
when viewed in infrared or microwave bands. We examine orbits in an N-body
model of a barred disk galaxy that is scaled to match the kinematics of the
Milky Way (MW) bulge. We generate maps of projected stellar surface density,
unsharp masked i... | 0 | 1 | 0 | 0 | 0 | 0 |
How Peer Effects Influence Energy Consumption | This paper analyzes the impact of peer effects on electricity consumption of
a network of rational, utility-maximizing users. Users derive utility from
consuming electricity as well as consuming less energy than their neighbors.
However, a disutility is incurred for consuming more than their neighbors. To
maximize th... | 1 | 0 | 0 | 0 | 0 | 0 |
Physical Origins of Gas Motions in Galaxy Cluster Cores: Interpreting Hitomi Observations of the Perseus Cluster | The Hitomi X-ray satellite has provided the first direct measurements of the
plasma velocity dispersion in a galaxy cluster. It finds a relatively
"quiescent" gas with a line-of-sight velocity dispersion ~ 160 km/s, at 30 kpc
to 60 kpc from the cluster center. This is surprising given the presence of
jets and X-ray c... | 0 | 1 | 0 | 0 | 0 | 0 |
Variational Approaches for Auto-Encoding Generative Adversarial Networks | Auto-encoding generative adversarial networks (GANs) combine the standard GAN
algorithm, which discriminates between real and model-generated data, with a
reconstruction loss given by an auto-encoder. Such models aim to prevent mode
collapse in the learned generative model by ensuring that it is grounded in all
the a... | 1 | 0 | 0 | 1 | 0 | 0 |
Verification of the anecdote about Edwin Hubble and the Nobel Prize | Edwin Powel Hubble is regarded as one of the most important astronomers of
20th century. In despite of his great contributions to the field of astronomy,
he never received the Nobel Prize because astronomy was not considered as the
field of the Nobel Prize in Physics at that era. There is an anecdote about the
relati... | 0 | 1 | 0 | 0 | 0 | 0 |
LSTM Fully Convolutional Networks for Time Series Classification | Fully convolutional neural networks (FCN) have been shown to achieve
state-of-the-art performance on the task of classifying time series sequences.
We propose the augmentation of fully convolutional networks with long short
term memory recurrent neural network (LSTM RNN) sub-modules for time series
classification. Ou... | 1 | 0 | 0 | 1 | 0 | 0 |
Flat $F$-manifolds, Miura invariants and integrable systems of conservation laws | We extend some of the results proved for scalar equations in [3,4], to the
case of systems of integrable conservation laws. In particular, for such
systems we prove that the eigenvalues of a matrix obtained from the quasilinear
part of the system are invariants under Miura transformations and we show how
these invari... | 0 | 1 | 0 | 0 | 0 | 0 |
Analysis and Design of Cost-Effective, High-Throughput LDPC Decoders | This paper introduces a new approach to cost-effective, high-throughput
hardware designs for Low Density Parity Check (LDPC) decoders. The proposed
approach, called Non-Surjective Finite Alphabet Iterative Decoders (NS-FAIDs),
exploits the robustness of message-passing LDPC decoders to inaccuracies in the
calculation... | 1 | 0 | 0 | 0 | 0 | 0 |
TensorFlow Distributions | The TensorFlow Distributions library implements a vision of probability
theory adapted to the modern deep-learning paradigm of end-to-end
differentiable computation. Building on two basic abstractions, it offers
flexible building blocks for probabilistic computation. Distributions provide
fast, numerically stable met... | 1 | 0 | 0 | 1 | 0 | 0 |
A generalised Davydov-Scott model for polarons in linear peptide chains | We present a one-parameter family of mathematical models describing the
dynamics of polarons in linear periodic structures such as polypeptides. By
tuning the parameter, we are able to recover the Davydov and the Scott models.
We describe the physical significance of this parameter. In the continuum
limit, we derive ... | 0 | 1 | 0 | 0 | 0 | 0 |
Wide Binaries in Tycho-{\it Gaia}: Search Method and the Distribution of Orbital Separations | We mine the Tycho-{\it Gaia} astrometric solution (TGAS) catalog for wide
stellar binaries by matching positions, proper motions, and astrometric
parallaxes. We separate genuine binaries from unassociated stellar pairs
through a Bayesian formulation that includes correlated uncertainties in the
proper motions and par... | 0 | 1 | 0 | 0 | 0 | 0 |
Classification on Large Networks: A Quantitative Bound via Motifs and Graphons | When each data point is a large graph, graph statistics such as densities of
certain subgraphs (motifs) can be used as feature vectors for machine learning.
While intuitive, motif counts are expensive to compute and difficult to work
with theoretically. Via graphon theory, we give an explicit quantitative bound
for t... | 1 | 0 | 0 | 1 | 0 | 0 |
Predicting Future Machine Failure from Machine State Using Logistic Regression | Accurately predicting machine failures in advance can decrease maintenance
cost and help allocate maintenance resources more efficiently. Logistic
regression was applied to predict machine state 24 hours in the future given
the current machine state.
| 0 | 0 | 0 | 1 | 0 | 0 |
Design and Optimisation of the FlyFast Front-end for Attribute-based Coordination | Collective Adaptive Systems (CAS) consist of a large number of interacting
objects. The design of such systems requires scalable analysis tools and
methods, which have necessarily to rely on some form of approximation of the
system's actual behaviour. Promising techniques are those based on mean-field
approximation. ... | 1 | 0 | 0 | 0 | 0 | 0 |
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics | The use of functional brain imaging for research and diagnosis has benefitted
greatly from the recent advancements in neuroimaging technologies, as well as
the explosive growth in size and availability of fMRI data. While it has been
shown in literature that using multiple and large scale fMRI datasets can
improve re... | 1 | 0 | 0 | 0 | 0 | 0 |
HARPO: 1.7 - 74 MeV gamma-ray beam validation of a high angular resolutio n, high linear polarisation dilution, gas time projection chamber telescope and polarimeter | A presentation at the SciNeGHE conference of the past achievements, of the
present activities and of the perspectives for the future of the HARPO project,
the development of a time projection chamber as a high-performance gamma-ray
telescope and linear polarimeter in the e+e- pair creation regime.
| 0 | 1 | 0 | 0 | 0 | 0 |
One-to-one composant mappings of $[0,\infty)$ and $(-\infty,\infty)$ | Knaster continua and solenoids are well-known examples of indecomposable
continua whose composants (maximal arcwise-connected subsets) are one-to-one
images of lines. We show that essentially all non-trivial one-to-one composant
images of (half-)lines are indecomposable. And if $f$ is a one-to-one mapping
of $[0,\inf... | 0 | 0 | 1 | 0 | 0 | 0 |
Valued fields, Metastable groups | We introduce a class of theories called metastable, including the theory of
algebraically closed valued fields (ACVF) as a motivating example. The key
local notion is that of definable types dominated by their stable part. A
theory is metastable (over a sort $\Gamma$) if every type over a sufficiently
rich base struc... | 0 | 0 | 1 | 0 | 0 | 0 |
Radio Galaxy Zoo: Cosmological Alignment of Radio Sources | We study the mutual alignment of radio sources within two surveys, FIRST and
TGSS. This is done by producing two position angle catalogues containing the
preferential directions of respectively $30\,059$ and $11\,674$ extended
sources distributed over more than $7\,000$ and $17\,000$ square degrees. The
identificatio... | 0 | 1 | 0 | 0 | 0 | 0 |
Non-iterative Label Propagation in Optimal Leading Forest | Graph based semi-supervised learning (GSSL) has intuitive representation and
can be improved by exploiting the matrix calculation. However, it has to
perform iterative optimization to achieve a preset objective, which usually
leads to low efficiency. Another inconvenience lying in GSSL is that when new
data come, the... | 1 | 0 | 0 | 0 | 0 | 0 |
PeerHunter: Detecting Peer-to-Peer Botnets through Community Behavior Analysis | Peer-to-peer (P2P) botnets have become one of the major threats in network
security for serving as the infrastructure that responsible for various of
cyber-crimes. Though a few existing work claimed to detect traditional botnets
effectively, the problem of detecting P2P botnets involves more challenges. In
this paper... | 1 | 0 | 0 | 0 | 0 | 0 |
An X-ray/SDSS sample (II): outflowing gas plasma properties | Galaxy-scale outflows are nowadays observed in many active galactic nuclei
(AGNs); however, their characterisation in terms of (multi-) phase nature,
amount of flowing material, effects on the host galaxy, is still unsettled. In
particular, ionized gas mass outflow rate and related energetics are still
affected by ma... | 0 | 1 | 0 | 0 | 0 | 0 |
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models | Deep neural networks (DNNs) are one of the most prominent technologies of our
time, as they achieve state-of-the-art performance in many machine learning
tasks, including but not limited to image classification, text mining, and
speech processing. However, recent research on DNNs has indicated
ever-increasing concern... | 1 | 0 | 0 | 1 | 0 | 0 |
Existence of Noise Induced Order, a Computer Aided Proof | We prove, by a computer aided proof, the existence of noise induced order in
the model of chaotic chemical reactions where it was first discovered
numerically by Matsumoto and Tsuda in 1983. We prove that in this random
dynamical system the increase in amplitude of the noise causes the Lyapunov
exponent to decrease f... | 0 | 0 | 1 | 0 | 0 | 0 |
Residual Unfairness in Fair Machine Learning from Prejudiced Data | Recent work in fairness in machine learning has proposed adjusting for
fairness by equalizing accuracy metrics across groups and has also studied how
datasets affected by historical prejudices may lead to unfair decision
policies. We connect these lines of work and study the residual unfairness that
arises when a fai... | 0 | 0 | 0 | 1 | 0 | 0 |
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems | Predicting the future location of vehicles is essential for safety-critical
applications such as advanced driver assistance systems (ADAS) and autonomous
driving. This paper introduces a novel approach to simultaneously predict both
the location and scale of target vehicles in the first-person (egocentric) view
of an... | 1 | 0 | 0 | 0 | 0 | 0 |
Metriplectic formalism: friction and much more | The metriplectic formalism couples Poisson brackets of the Hamiltonian
description with metric brackets for describing systems with both Hamiltonian
and dissipative components. The construction builds in asymptotic convergence
to a preselected equilibrium state. Phenomena such as friction, electric
resistivity, therm... | 0 | 1 | 0 | 0 | 0 | 0 |
Hierarchical Video Understanding | We introduce a hierarchical architecture for video understanding that
exploits the structure of real world actions by capturing targets at different
levels of granularity. We design the model such that it first learns simpler
coarse-grained tasks, and then moves on to learn more fine-grained targets. The
model is tra... | 0 | 0 | 0 | 1 | 0 | 0 |
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors | Finding similar user pairs is a fundamental task in social networks, with
numerous applications in ranking and personalization tasks such as link
prediction and tie strength detection. A common manifestation of user
similarity is based upon network structure: each user is represented by a
vector that represents the u... | 1 | 0 | 0 | 0 | 0 | 0 |
Hysteretic vortex matching effects in high-$T_c$ superconductors with nanoscale periodic pinning landscapes fabricated by He ion beam projection technique | Square arrays of sub-micrometer columnar defects in thin
YBa$_{2}$Cu$_{3}$O$_{7-\delta}$ (YBCO) films with spacings down to 300 nm have
been fabricated by a He ion beam projection technique. Pronounced peaks in the
critical current and corresponding minima in the resistance demonstrate the
commensurate arrangement of... | 0 | 1 | 0 | 0 | 0 | 0 |
Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping | Gathering information about forest variables is an expensive and arduous
activity. As such, directly collecting the data required to produce
high-resolution maps over large spatial domains is infeasible. Next generation
collection initiatives of remotely sensed Light Detection and Ranging (LiDAR)
data are specificall... | 0 | 0 | 0 | 1 | 0 | 0 |
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction | Recently, many studies have demonstrated deep neural network (DNN)
classifiers can be fooled by the adversarial example, which is crafted via
introducing some perturbations into an original sample. Accordingly, some
powerful defense techniques were proposed. However, existing defense techniques
often require modifyin... | 1 | 0 | 0 | 0 | 0 | 0 |
Crowdsourcing for Beyond Polarity Sentiment Analysis A Pure Emotion Lexicon | Sentiment analysis aims to uncover emotions conveyed through information. In
its simplest form, it is performed on a polarity basis, where the goal is to
classify information with positive or negative emotion. Recent research has
explored more nuanced ways to capture emotions that go beyond polarity. For
these method... | 1 | 0 | 0 | 0 | 0 | 0 |
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging | We address the statistical and optimization impacts of the classical sketch
and Hessian sketch used to approximately solve the Matrix Ridge Regression
(MRR) problem. Prior research has quantified the effects of classical sketch on
the strictly simpler least squares regression (LSR) problem. We establish that
classica... | 1 | 0 | 0 | 1 | 0 | 0 |
Ballistic magnon heat conduction and possible Poiseuille flow in the helimagnetic insulator Cu$_2$OSeO$_3$ | We report on the observation of magnon thermal conductivity $\kappa_m\sim$ 70
W/mK near 5 K in the helimagnetic insulator Cu$_2$OSeO$_3$, exceeding that
measured in any other ferromagnet by almost two orders of magnitude. Ballistic,
boundary-limited transport for both magnons and phonons is established below 1
K, and... | 0 | 1 | 0 | 0 | 0 | 0 |
On Alzer's inequality | Extensions and generalizations of Alzer's inequality; which is of Wirtinger
type are proved. As applications, sharp trapezoid type inequality and sharp
bound for the geometric mean are deduced.
| 0 | 0 | 1 | 0 | 0 | 0 |
Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs | We present Oncilla robot, a novel mobile, quadruped legged locomotion
machine. This large-cat sized, 5.1 robot is one of a kind of a recent,
bioinspired legged robot class designed with the capability of model-free
locomotion control. Animal legged locomotion in rough terrain is clearly shaped
by sensor feedback syst... | 1 | 0 | 0 | 0 | 0 | 0 |
A generative model for sparse, evolving digraphs | Generating graphs that are similar to real ones is an open problem, while the
similarity notion is quite elusive and hard to formalize. In this paper, we
focus on sparse digraphs and propose SDG, an algorithm that aims at generating
graphs similar to real ones. Since real graphs are evolving and this evolution
is imp... | 1 | 0 | 0 | 0 | 0 | 0 |
Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression | Quadratic regression goes beyond the linear model by simultaneously including
main effects and interactions between the covariates. The problem of
interaction estimation in high dimensional quadratic regression has received
extensive attention in the past decade. In this article we introduce a novel
method which allo... | 0 | 0 | 0 | 1 | 0 | 0 |
4D limit of melting crystal model and its integrable structure | This paper addresses the problems of quantum spectral curves and 4D limit for
the melting crystal model of 5D SUSY $U(1)$ Yang-Mills theory on
$\mathbb{R}^4\times S^1$. The partition function $Z(\mathbf{t})$ deformed by an
infinite number of external potentials is a tau function of the KP hierarchy
with respect to th... | 0 | 1 | 1 | 0 | 0 | 0 |
On constraints and dividing in ternary homogeneous structures | Let M be ternary, homogeneous and simple. We prove that if M is finitely
constrained, then it is supersimple with finite SU-rank and dependence is
$k$-trivial for some $k < \omega$ and for finite sets of real elements. Now
suppose that, in addition, M is supersimple with SU-rank 1. If M is finitely
constrained then a... | 0 | 0 | 1 | 0 | 0 | 0 |
Changes in lipid membranes may trigger amyloid toxicity in Alzheimer's disease | Amyloid beta peptides (A\b{eta}), implicated in Alzheimers disease (AD),
interact with the cellular membrane and induce amyloid toxicity. The
composition of cellular membranes changes in aging and AD. We designed multi
component lipid models to mimic healthy and diseased states of the neuronal
membrane. Using atomic ... | 0 | 1 | 0 | 0 | 0 | 0 |
Transcendency Degree One Function Fields Over a Finite Field with Many Automorphisms | Let $\mathbb{K}$ be the algebraic closure of a finite field $\mathbb{F}_q$ of
odd characteristic $p$. For a positive integer $m$ prime to $p$, let
$F=\mathbb{K}(x,y)$ be the transcendency degree $1$ function field defined by
$y^q+y=x^m+x^{-m}$. Let $t=x^{m(q-1)}$ and $H=\mathbb{K}(t)$. The extension
$F|H$ is a non-Ga... | 0 | 0 | 1 | 0 | 0 | 0 |
The phase transitions between $Z_n\times Z_n$ bosonic topological phases in 1+1 D, and a constraint on the central charge for the critical points between bosonic symmetry protected topological phases | The study of continuous phase transitions triggered by spontaneous symmetry
breaking has brought revolutionary ideas to physics. Recently, through the
discovery of symmetry protected topological phases, it is realized that
continuous quantum phase transition can also occur between states with the same
symmetry but di... | 0 | 1 | 0 | 0 | 0 | 0 |
Universal Reinforcement Learning Algorithms: Survey and Experiments | Many state-of-the-art reinforcement learning (RL) algorithms typically assume
that the environment is an ergodic Markov Decision Process (MDP). In contrast,
the field of universal reinforcement learning (URL) is concerned with
algorithms that make as few assumptions as possible about the environment. The
universal Ba... | 1 | 0 | 0 | 0 | 0 | 0 |
Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks | Understanding cell identity is an important task in many biomedical areas.
Expression patterns of specific marker genes have been used to characterize
some limited cell types, but exclusive markers are not available for many cell
types. A second approach is to use machine learning to discriminate cell types
based on ... | 0 | 0 | 0 | 1 | 1 | 0 |
Full replica symmetry breaking in p-spin-glass-like systems | It is shown that continuously changing the effective number of interacting
particles in p-spin-glass-like model allows to describe the transition from the
full replica symmetry breaking glass solution to stable first replica symmetry
breaking glass solution in the case of non-reflective symmetry diagonal
operators us... | 0 | 1 | 0 | 0 | 0 | 0 |
Formation and condensation of excitonic bound states in the generalized Falicov-Kimball model | The density-matrix-renormalization-group (DMRG) method and the Hartree-Fock
(HF) approximation with the charge-density-wave (CDW) instability are used to
study a formation and condensation of excitonic bound states in the generalized
Falicov-Kimball model. In particular, we examine effects of various factors,
like th... | 0 | 1 | 0 | 0 | 0 | 0 |
Tunable Emergent Heterostructures in a Prototypical Correlated Metal | At the interface between two distinct materials desirable properties, such as
superconductivity, can be greatly enhanced, or entirely new functionalities may
emerge. Similar to in artificially engineered heterostructures, clean
functional interfaces alternatively exist in electronically textured bulk
materials. Elect... | 0 | 1 | 0 | 0 | 0 | 0 |
Weak Label Supervision for Monaural Source Separation Using Non-negative Denoising Variational Autoencoders | Deep learning models are very effective in source separation when there are
large amounts of labeled data available. However it is not always possible to
have carefully labeled datasets. In this paper, we propose a weak supervision
method that only uses class information rather than source signals for learning
to sep... | 1 | 0 | 0 | 0 | 0 | 0 |
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