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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Mean field limits for nonlinear spatially extended hawkes processes with exponential memory kernels | We consider spatially extended systems of interacting nonlinear Hawkes
processes modeling large systems of neurons placed in Rd and study the
associated mean field limits. As the total number of neurons tends to infinity,
we prove that the evolution of a typical neuron, attached to a given spatial
position, can be de... | 0 | 0 | 1 | 0 | 0 | 0 |
Bias correction in daily maximum and minimum temperature measurements through Gaussian process modeling | The Global Historical Climatology Network-Daily database contains, among
other variables, daily maximum and minimum temperatures from weather stations
around the globe. It is long known that climatological summary statistics based
on daily temperature minima and maxima will not be accurate, if the bias due to
the tim... | 0 | 0 | 0 | 1 | 0 | 0 |
Mechanism of the double heterostructure TiO2/ZnO/TiO2 for photocatalytic and photovoltaic applications: A theoretical study | Understanding the mechanism of the heterojunction is an important step
towards controllable and tunable interfaces for photocatalytic and photovoltaic
based devices. To this aim, we propose a thorough study of a double
heterostructure system consisting of two semiconductors with large band gap,
namely, wurtzite ZnO a... | 0 | 1 | 0 | 0 | 0 | 0 |
Maximum Number of Common Zeros of Homogeneous Polynomials over Finite Fields | About two decades ago, Tsfasman and Boguslavsky conjectured a formula for the
maximum number of common zeros that $r$ linearly independent homogeneous
polynomials of degree $d$ in $m+1$ variables with coefficients in a finite
field with $q$ elements can have in the corresponding $m$-dimensional
projective space. Rece... | 0 | 0 | 1 | 0 | 0 | 0 |
Wave-induced vortex recoil and nonlinear refraction | When a vortex refracts surface waves, the momentum flux carried by the waves
changes direction and the waves induce a reaction force on the vortex. We study
experimentally the resulting vortex distortion. Incoming surface gravity waves
impinge on a steady vortex of velocity $U_0$ driven magneto-hydrodynamically at
th... | 0 | 1 | 0 | 0 | 0 | 0 |
Transport of Intensity Equation Microscopy for Dynamic Microtubules | Microtubules (MTs) are filamentous protein polymers roughly 25 nm in
diameter. Ubiquitous in eukaryotes, MTs are well known for their structural
role but also act as actuators, sensors, and, in association with other
proteins, checkpoint regulators. The thin diameter and transparency of
microtubules classifies them a... | 0 | 1 | 0 | 0 | 0 | 0 |
First-principles prediction of the stacking fault energy of gold at finite temperature | The intrinsic stacking fault energy (ISFE) $\gamma$ is a material parameter
fundamental to the discussion of plastic deformation mechanisms in metals.
Here, we scrutinize the temperature dependence of the ISFE of Au through
accurate first-principles derived Helmholtz free energies employing both the
super cell approa... | 0 | 1 | 0 | 0 | 0 | 0 |
Mathematical Programming formulations for the efficient solution of the $k$-sum approval voting problem | In this paper we address the problem of electing a committee among a set of
$m$ candidates and on the basis of the preferences of a set of $n$ voters. We
consider the approval voting method in which each voter can approve as many
candidates as she/he likes by expressing a preference profile (boolean
$m$-vector). In o... | 1 | 0 | 1 | 0 | 0 | 0 |
DAGs with NO TEARS: Continuous Optimization for Structure Learning | Estimating the structure of directed acyclic graphs (DAGs, also known as
Bayesian networks) is a challenging problem since the search space of DAGs is
combinatorial and scales superexponentially with the number of nodes. Existing
approaches rely on various local heuristics for enforcing the acyclicity
constraint. In ... | 0 | 0 | 0 | 1 | 0 | 0 |
Throughput-Optimal Broadcast in Wireless Networks with Point-to-Multipoint Transmissions | We consider the problem of efficient packet dissemination in wireless
networks with point-to-multi-point wireless broadcast channels. We propose a
dynamic policy, which achieves the broadcast capacity of the network. This
policy is obtained by first transforming the original multi-hop network into a
precedence-relaxe... | 1 | 0 | 1 | 0 | 0 | 0 |
The Resilience of Life to Astrophysical Events | Much attention has been given in the literature to the effects of
astrophysical events on human and land-based life. However, little has been
discussed on the resilience of life itself. Here we instead explore the
statistics of events that completely sterilise an Earth-like planet with planet
radii in the range $0.5-... | 0 | 1 | 0 | 0 | 0 | 0 |
Kinky DNA in solution: Small angle scattering study of a nucleosome positioning sequence | DNA is a flexible molecule, but the degree of its flexibility is subject to
debate. The commonly-accepted persistence length of $l_p \approx 500\,$\AA\ is
inconsistent with recent studies on short-chain DNA that show much greater
flexibility but do not probe its origin. We have performed X-ray and neutron
small-angle... | 0 | 0 | 0 | 0 | 1 | 0 |
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning | Although aviation accidents are rare, safety incidents occur more frequently
and require a careful analysis to detect and mitigate risks in a timely manner.
Analyzing safety incidents using operational data and producing event-based
explanations is invaluable to airline companies as well as to governing
organizations... | 1 | 0 | 0 | 1 | 0 | 0 |
Normalized Direction-preserving Adam | Adaptive optimization algorithms, such as Adam and RMSprop, have shown better
optimization performance than stochastic gradient descent (SGD) in some
scenarios. However, recent studies show that they often lead to worse
generalization performance than SGD, especially for training deep neural
networks (DNNs). In this ... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning Deep CNN Denoiser Prior for Image Restoration | Model-based optimization methods and discriminative learning methods have
been the two dominant strategies for solving various inverse problems in
low-level vision. Typically, those two kinds of methods have their respective
merits and drawbacks, e.g., model-based optimization methods are flexible for
handling differ... | 1 | 0 | 0 | 0 | 0 | 0 |
The Challenge of Spin-Orbit-Tuned Ground States in Iridates | Effects of spin-orbit interactions in condensed matter are an important and
rapidly evolving topic. Strong competition between spin-orbit, on-site Coulomb
and crystalline electric field interactions in iridates drives exotic quantum
states that are unique to this group of materials. In particular, the Jeff =
1/2 Mott... | 0 | 1 | 0 | 0 | 0 | 0 |
Derived Picard groups of preprojective algebras of Dynkin type | In this paper, we study two-sided tilting complexes of preprojective algebras
of Dynkin type. We construct the most fundamental class of two-sided tilting
complexes, which has a group structure by derived tensor products and induces a
group of auto-equivalences of the derived category. We show that the group
structur... | 0 | 0 | 1 | 0 | 0 | 0 |
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization | We propose and analyze a method for semi-supervised learning from
partially-labeled network-structured data. Our approach is based on a graph
signal recovery interpretation under a clustering hypothesis that labels of
data points belonging to the same well-connected subset (cluster) are similar
valued. This lends nat... | 1 | 0 | 0 | 1 | 0 | 0 |
Susceptibility of Methicillin Resistant Staphylococcus aureus to Vancomycin using Liposomal Drug Delivery System | Staphylococcus aureus responsible for nosocomial infections is a significant
threat to the public health. The increasing resistance of S.aureus to various
antibiotics has drawn it to a prime focus for research on designing an
appropriate drug delivery system. Emergence of Methicillin Resistant
Staphylococcus aureus (... | 0 | 0 | 0 | 0 | 1 | 0 |
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts | Understanding how ideas relate to each other is a fundamental question in
many domains, ranging from intellectual history to public communication.
Because ideas are naturally embedded in texts, we propose the first framework
to systematically characterize the relations between ideas based on their
occurrence in a cor... | 1 | 1 | 0 | 0 | 0 | 0 |
Deep Feature Learning for Graphs | This paper presents a general graph representation learning framework called
DeepGL for learning deep node and edge representations from large (attributed)
graphs. In particular, DeepGL begins by deriving a set of base features (e.g.,
graphlet features) and automatically learns a multi-layered hierarchical graph
repr... | 1 | 0 | 0 | 1 | 0 | 0 |
Pseudospectral Model Predictive Control under Partially Learned Dynamics | Trajectory optimization of a controlled dynamical system is an essential part
of autonomy, however many trajectory optimization techniques are limited by the
fidelity of the underlying parametric model. In the field of robotics, a lack
of model knowledge can be overcome with machine learning techniques, utilizing
mea... | 1 | 0 | 0 | 0 | 0 | 0 |
Phonon-assisted oscillatory exciton dynamics in monolayer MoSe2 | In monolayer semiconductor transition metal dichalcogenides, the
exciton-phonon interaction is expected to strongly affect the photocarrier
dynamics. Here, we report on an unusual oscillatory enhancement of the neutral
exciton photoluminescence with the excitation laser frequency in monolayer
MoSe2. The frequency of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Manifold Regularization for Kernelized LSTD | Policy evaluation or value function or Q-function approximation is a key
procedure in reinforcement learning (RL). It is a necessary component of policy
iteration and can be used for variance reduction in policy gradient methods.
Therefore its quality has a significant impact on most RL algorithms. Motivated
by manif... | 1 | 0 | 0 | 1 | 0 | 0 |
Normality of the Thue--Morse sequence along Piatetski-Shapiro sequences | We prove that for $1<c<4/3$ the subsequence of the Thue--Morse sequence
$\mathbf t$ indexed by $\lfloor n^c\rfloor$ defines a normal sequence, that is,
each finite sequence $(\varepsilon_0,\ldots,\varepsilon_{T-1})\in \{0,1\}^T$
occurs as a contiguous subsequence of the sequence $n\mapsto \mathbf
t\left(\lfloor n^c\r... | 0 | 0 | 1 | 0 | 0 | 0 |
Radio Weak Lensing Shear Measurement in the Visibility Domain - II. Source Extraction | This paper extends the method introduced in Rivi et al. (2016b) to measure
galaxy ellipticities in the visibility domain for radio weak lensing surveys.
In that paper we focused on the development and testing of the method for the
simple case of individual galaxies located at the phase centre, and proposed to
extend ... | 0 | 1 | 0 | 0 | 0 | 0 |
Loop Representation of Wigner's Little Groups | Wigner's little groups are the subgroups of the Lorentz group whose
transformations leave the momentum of a given particle invariant. They thus
define the internal space-time symmetries of relativistic particles. These
symmetries take different mathematical forms for massive and for massless
particles. However, it is... | 0 | 1 | 0 | 0 | 0 | 0 |
MOA Data Reveal a New Mass, Distance, and Relative Proper Motion for Planetary System OGLE-2015-BLG-0954L | We present the MOA Collaboration light curve data for planetary microlensing
event OGLE-2015-BLG-0954, which was previously announced in a paper by the
KMTNet and OGLE Collaborations. The MOA data cover the caustic exit, which was
not covered by the KMTNet or OGLE data, and they provide a more reliable
measurement of... | 0 | 1 | 0 | 0 | 0 | 0 |
Ground state degeneracy in quantum spin systems protected by crystal symmetries | We develop a no-go theorem for two-dimensional bosonic systems with crystal
symmetries: if there is a half-integer spin at a rotation center, where the
point-group symmetry is $\mathbb D_{2,4,6}$, such a system must have a
ground-state degeneracy protected by the crystal symmetry. Such a degeneracy
indicates either a... | 0 | 1 | 0 | 0 | 0 | 0 |
Introspection: Accelerating Neural Network Training By Learning Weight Evolution | Neural Networks are function approximators that have achieved
state-of-the-art accuracy in numerous machine learning tasks. In spite of their
great success in terms of accuracy, their large training time makes it
difficult to use them for various tasks. In this paper, we explore the idea of
learning weight evolution ... | 1 | 0 | 0 | 0 | 0 | 0 |
Single crystal polarized neutron diffraction study of the magnetic structure of HoFeO$_3$ | Polarised neutron diffraction measurements have been made on HoFeO$_3$ single
crystals magnetised in both the [001] and [100] directions ($Pbnm$ setting).
The polarisation dependencies of Bragg reflection intensities were measured
both with a high field of H = 9 T parallel to [001] at T = 70 K and with the
lower fiel... | 0 | 1 | 0 | 0 | 0 | 0 |
Rigidity of volume-minimizing hypersurfaces in Riemannian 5-manifolds | In this paper we generalize the main result of [4] for manifolds that are not
necessarily Einstein. In fact, we obtain an upper bound for the volume of a
locally volume-minimizing closed hypersurface $\Sigma$ of a Riemannian
5-manifold $M$ with scalar curvature bounded from below by a positive constant
in terms of th... | 0 | 0 | 1 | 0 | 0 | 0 |
Dolha - an Efficient and Exact Data Structure for Streaming Graphs | A streaming graph is a graph formed by a sequence of incoming edges with time
stamps. Unlike static graphs, the streaming graph is highly dynamic and time
related. In the real world, the high volume and velocity streaming graphs such
as internet traffic data, social network communication data and financial
transfer d... | 1 | 0 | 0 | 0 | 0 | 0 |
Semi-classical states for the nonlinear Choquard equations: existence, multiplicity and concentration at a potential well | We study existence and multiplicity of semi-classical states for the
nonlinear Choquard equation:
$$ -\varepsilon^2\Delta v+V(x)v =
\frac{1}{\varepsilon^\alpha}(I_\alpha*F(v))f(v) \quad \hbox{in}\ \mathbb{R}^N,
$$ where $N\geq 3$, $\alpha\in (0,N)$, $I_\alpha(x)={A_\alpha\over
|x|^{N-\alpha}}$ is the Riesz potential,... | 0 | 0 | 1 | 0 | 0 | 0 |
Results from the first cryogenic NaI detector for the COSINUS project | Recently there is a flourishing and notable interest in the crystalline
scintillator material sodium iodide (NaI) as target for direct dark matter
searches. This is mainly driven by the long-reigning contradicting situation in
the dark matter sector: the positive evidence for the detection of a dark
matter modulation... | 0 | 1 | 0 | 0 | 0 | 0 |
Minimal Representations of Lie Algebras With Non-Trivial Levi Decomposition | We obtain minimal dimension matrix representations for each of the Lie
algebras of dimension five, six, seven, and eight obtained by Turkowski that
have a non-trivial Levi decomposition. The Key technique involves using
subspace associated to a particular representation of semi-simple Lie algebra
to help in the const... | 0 | 0 | 1 | 0 | 0 | 0 |
Forecasting day-ahead electricity prices in Europe: the importance of considering market integration | Motivated by the increasing integration among electricity markets, in this
paper we propose two different methods to incorporate market integration in
electricity price forecasting and to improve the predictive performance. First,
we propose a deep neural network that considers features from connected markets
to impr... | 1 | 0 | 0 | 1 | 0 | 0 |
A Longitudinal Higher-Order Diagnostic Classification Model | Providing diagnostic feedback about growth is crucial to formative decisions
such as targeted remedial instructions or interventions. This paper proposed a
longitudinal higher-order diagnostic classification modeling approach for
measuring growth. The new modeling approach is able to provide quantitative
values of ov... | 0 | 0 | 0 | 1 | 0 | 0 |
On Fairness and Calibration | The machine learning community has become increasingly concerned with the
potential for bias and discrimination in predictive models. This has motivated
a growing line of work on what it means for a classification procedure to be
"fair." In this paper, we investigate the tension between minimizing error
disparity acr... | 1 | 0 | 0 | 1 | 0 | 0 |
AADS: Augmented Autonomous Driving Simulation using Data-driven Algorithms | Simulation systems have become an essential component in the development and
validation of autonomous driving technologies. The prevailing state-of-the-art
approach for simulation is to use game engines or high-fidelity computer
graphics (CG) models to create driving scenarios. However, creating CG models
and vehicle... | 1 | 0 | 0 | 0 | 0 | 0 |
Scheme-theoretic Whitney conditions and applications to tangency of projective varieties | We investigate a scheme-theoretic variant of Whitney condition a. If X is a
projec-tive variety over the field of complex numbers and Y $\subset$ X a
subvariety, then X satisfies generically the scheme-theoretic Whitney condition
a along Y provided that the pro-jective dual of X is smooth. We give
applications to tan... | 0 | 0 | 1 | 0 | 0 | 0 |
Role of 1-D finite size Heisenberg chain in increasing metal to insulator transition temperature in hole rich VO2 | VO2 samples are grown with different oxygen concentrations leading to
different monoclinic, M1 and triclinic, T insulating phases which undergo a
first order metal to insulator transition (MIT) followed by a structural phase
transition (SPT) to rutile tetragonal phase. The metal insulator transition
temperature (Tc) ... | 0 | 1 | 0 | 0 | 0 | 0 |
Electron paramagnetic resonance g-tensors from state interaction spin-orbit coupling density matrix renormalization group | We present a state interaction spin-orbit coupling method to calculate
electron paramagnetic resonance (EPR) $g$-tensors from density matrix
renormalization group wavefunctions. We apply the technique to compute
$g$-tensors for the \ce{TiF3} and \ce{CuCl4^2-} complexes, a [2Fe-2S] model of
the active center of ferred... | 0 | 1 | 0 | 0 | 0 | 0 |
A multilayer multiconfiguration time-dependent Hartree study of the nonequilibrium Anderson impurity model at zero temperature | Quantum transport is studied for the nonequilibrium Anderson impurity model
at zero temperature employing the multilayer multiconfiguration time-dependent
Hartree theory within the second quantization representation (ML-MCTDH-SQR) of
Fock space. To adress both linear and nonlinear conductance in the Kondo
regime, two... | 0 | 1 | 0 | 0 | 0 | 0 |
Robust Identification of Target Genes and Outliers in Triple-negative Breast Cancer Data | Correct classification of breast cancer sub-types is of high importance as it
directly affects the therapeutic options. We focus on triple-negative breast
cancer (TNBC) which has the worst prognosis among breast cancer types. Using
cutting edge methods from the field of robust statistics, we analyze Breast
Invasive C... | 0 | 0 | 0 | 1 | 0 | 0 |
Semi-Lagrangian one-step methods for two classes of time-dependent partial differential systems | Semi-Lagrangian methods are numerical methods designed to find approximate
solutions to particular time-dependent partial differential equations (PDEs)
that describe the advection process. We propose semi-Lagrangian one-step
methods for numerically solving initial value problems for two general systems
of partial dif... | 0 | 0 | 1 | 0 | 0 | 0 |
Deep Learning for Forecasting Stock Returns in the Cross-Section | Many studies have been undertaken by using machine learning techniques,
including neural networks, to predict stock returns. Recently, a method known
as deep learning, which achieves high performance mainly in image recognition
and speech recognition, has attracted attention in the machine learning field.
This paper ... | 0 | 0 | 0 | 0 | 0 | 1 |
Efficient Nearest-Neighbor Search for Dynamical Systems with Nonholonomic Constraints | Nearest-neighbor search dominates the asymptotic complexity of sampling-based
motion planning algorithms and is often addressed with k-d tree data
structures. While it is generally believed that the expected complexity of
nearest-neighbor queries is $O(log(N))$ in the size of the tree, this paper
reveals that when a ... | 1 | 0 | 0 | 0 | 0 | 0 |
Primitivity, Uniform Minimality and State Complexity of Boolean Operations | A minimal deterministic finite automaton (DFA) is uniformly minimal if it
always remains minimal when the final state set is replaced by a non-empty
proper subset of the state set. We prove that a permutation DFA is uniformly
minimal if and only if its transition monoid is a primitive group. We use this
to study bool... | 1 | 0 | 1 | 0 | 0 | 0 |
An Empirical Evaluation of Allgatherv on Multi-GPU Systems | Applications for deep learning and big data analytics have compute and memory
requirements that exceed the limits of a single GPU. However, effectively
scaling out an application to multiple GPUs is challenging due to the
complexities of communication between the GPUs, particularly for collective
communication with i... | 1 | 0 | 0 | 0 | 0 | 0 |
Summary of Topological Study of Chaotic CBC Mode of Operation | In cryptography, block ciphers are the most fundamental elements in many
symmetric-key encryption systems. The Cipher Block Chaining, denoted CBC,
presents one of the most famous mode of operation that uses a block cipher to
provide confidentiality or authenticity. In this research work, we intend to
summarize our re... | 1 | 1 | 0 | 0 | 0 | 0 |
Benchmarking five numerical simulation techniques for computing resonance wavelengths and quality factors in photonic crystal membrane line defect cavities | We present numerical studies of two photonic crystal membrane microcavities,
a short line-defect cavity with relatively low quality ($Q$) factor and a
longer cavity with high $Q$. We use five state-of-the-art numerical simulation
techniques to compute the cavity $Q$ factor and the resonance wavelength
$\lambda$ for t... | 0 | 1 | 0 | 0 | 0 | 0 |
MSO+nabla is undecidable | This paper is about an extension of monadic second-order logic over infinite
trees, which adds a quantifier that says "the set of branches \pi which satisfy
a formula \phi(\pi) has probability one". This logic was introduced by
Michalewski and Mio; we call it MSO+nabla following Shelah and Lehmann. The
logic MSO+nabl... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast Nonconvex Deconvolution of Calcium Imaging Data | Calcium imaging data promises to transform the field of neuroscience by
making it possible to record from large populations of neurons simultaneously.
However, determining the exact moment in time at which a neuron spikes, from a
calcium imaging data set, amounts to a non-trivial deconvolution problem which
is of cri... | 0 | 0 | 0 | 1 | 1 | 0 |
Thinking Fast and Slow with Deep Learning and Tree Search | Sequential decision making problems, such as structured prediction, robotic
control, and game playing, require a combination of planning policies and
generalisation of those plans. In this paper, we present Expert Iteration
(ExIt), a novel reinforcement learning algorithm which decomposes the problem
into separate pl... | 1 | 0 | 0 | 0 | 0 | 0 |
Computer-aided implant design for the restoration of cranial defects | Patient-specific cranial implants are important and necessary in the surgery
of cranial defect restoration. However, traditional methods of manual design of
cranial implants are complicated and time-consuming. Our purpose is to develop
a novel software named EasyCrania to design the cranial implants conveniently
and ... | 1 | 0 | 0 | 0 | 0 | 0 |
Dimension-free Information Concentration via Exp-Concavity | Information concentration of probability measures have important implications
in learning theory. Recently, it is discovered that the information content of
a log-concave distribution concentrates around their differential entropy,
albeit with an unpleasant dependence on the ambient dimension. In this work, we
prove ... | 0 | 0 | 0 | 1 | 0 | 0 |
A review of Dan's reduction method for multiple polylogarithms | In this paper we will give an account of Dan's reduction method for reducing
the weight $ n $ multiple logarithm $ I_{1,1,\ldots,1}(x_1, x_2, \ldots, x_n) $
to an explicit sum of lower depth multiple polylogarithms in $ \leq n - 2 $
variables.
We provide a detailed explanation of the method Dan outlines, and we fill ... | 0 | 0 | 1 | 0 | 0 | 0 |
Improved Bayesian Compression | Compression of Neural Networks (NN) has become a highly studied topic in
recent years. The main reason for this is the demand for industrial scale usage
of NNs such as deploying them on mobile devices, storing them efficiently,
transmitting them via band-limited channels and most importantly doing
inference at scale.... | 0 | 0 | 0 | 1 | 0 | 0 |
Transient Response Improvement for Interconnected Linear Systems: Low-Dimensional Controller Retrofit Approach | In this paper, we propose a method of designing low-dimensional retrofit
controllers for interconnected linear systems. In the proposed method, by
retrofitting an additional low-dimensional controller to a preexisting control
system, we aim at improving transient responses caused by spatially local state
deflections,... | 1 | 0 | 0 | 0 | 0 | 0 |
Gradient Sparsification for Communication-Efficient Distributed Optimization | Modern large scale machine learning applications require stochastic
optimization algorithms to be implemented on distributed computational
architectures. A key bottleneck is the communication overhead for exchanging
information such as stochastic gradients among different workers. In this
paper, to reduce the communi... | 1 | 0 | 0 | 1 | 0 | 0 |
Interactions mediated by a public good transiently increase cooperativity in growing Pseudomonas putida metapopulations | Bacterial communities have rich social lives. A well-established interaction
involves the exchange of a public good in Pseudomonas populations, where the
iron-scavenging compound pyoverdine, synthesized by some cells, is shared with
the rest. Pyoverdine thus mediates interactions between producers and
non-producers a... | 0 | 0 | 0 | 0 | 1 | 0 |
Transfer results for Frobenius extensions | We study Frobenius extensions which are free-filtered by a totally ordered,
finitely generated abelian group, and their free-graded counterparts. First we
show that the Frobenius property passes up from a free-graded extension to a
free-filtered extension, then also from a free-filtered extension to the
extension of ... | 0 | 0 | 1 | 0 | 0 | 0 |
Ergodicity of spherically symmetric fluid flows outside of a Schwarzschild black hole with random boundary forcing | We consider the Burgers equation posed on the outer communication region of a
Schwarzschild black hole spacetime. Assuming spherical symmetry for the fluid
flow under consideration, we study the propagation and interaction of shock
waves under the effect of random forcing. First of all, considering the initial
and bo... | 0 | 0 | 1 | 0 | 0 | 0 |
Recency-weighted Markovian inference | We describe a Markov latent state space (MLSS) model, where the latent state
distribution is a decaying mixture over multiple past states. We present a
simple sampling algorithm that allows to approximate such high-order MLSS with
fixed time and memory costs.
| 1 | 0 | 0 | 1 | 0 | 0 |
A revisit on the compactness of commutators | A new characterization of CMO(R^n) is established by the local mean
oscillation. Some characterizations of iterated compact commutators on weighted
Lebesgue spaces are given, which are new even in the unweighted setting for the
first order commutators.
| 0 | 0 | 1 | 0 | 0 | 0 |
Question Answering through Transfer Learning from Large Fine-grained Supervision Data | We show that the task of question answering (QA) can significantly benefit
from the transfer learning of models trained on a different large, fine-grained
QA dataset. We achieve the state of the art in two well-studied QA datasets,
WikiQA and SemEval-2016 (Task 3A), through a basic transfer learning technique
from SQ... | 1 | 0 | 0 | 0 | 0 | 0 |
Relative phantom maps | We define a map $f\colon X\to Y$ to be a phantom map relative to a map
$\varphi\colon B\to Y$ if the restriction of $f$ to any finite dimensional
skeleton of $X$ lifts to $B$ through $\varphi$, up to homotopy. There are two
kinds of maps which are obviously relative phantom maps: (1) the composite of a
map $X\to B$ w... | 0 | 0 | 1 | 0 | 0 | 0 |
Concepts of Architecture, Structure and System | The current ISO standards pertaining to the Concepts of System and
Architecture express succinct definitions of these two key terms that lend
themselves to practical application and can be understood through elementary
mathematical foundations. The current work of the ISO/IEC Working Group 42 is
seeking to refine and... | 1 | 0 | 0 | 0 | 0 | 0 |
On mesoprimary decomposition of monoid congruences | We prove two main results concerning mesoprimary decomposition of monoid
congruences, as introduced by Kahle and Miller. First, we identify which
associated prime congruences appear in every mesoprimary decomposition, thereby
completing the theory of mesoprimary decomposition of monoid congruences as a
more faithful ... | 0 | 0 | 1 | 0 | 0 | 0 |
Assessing the state of e-Readiness for Small and Medium Companies in Mexico: a Proposed Taxonomy and Adoption Model | Emerging economies frequently show a large component of their Gross Domestic
Product to be dependant on the economic activity of small and medium
enterprises. Nevertheless, e-business solutions are more likely designed for
large companies. SMEs seem to follow a classical family-based management, used
to traditional a... | 0 | 0 | 0 | 0 | 0 | 1 |
Densities of Hyperbolic Cusp Invariants | We find that cusp densities of hyperbolic knots in the 3-sphere are dense in
[0,0.6826...] and those of links are dense in [0,0.853...]. We define a new
invariant associated with cusp volume, the cusp crossing density, as the ratio
between the cusp volume and the crossing number of a link, and show that cusp
crossing... | 0 | 0 | 1 | 0 | 0 | 0 |
Data Augmentation for Robust Keyword Spotting under Playback Interference | Accurate on-device keyword spotting (KWS) with low false accept and false
reject rate is crucial to customer experience for far-field voice control of
conversational agents. It is particularly challenging to maintain low false
reject rate in real world conditions where there is (a) ambient noise from
external sources... | 0 | 0 | 0 | 1 | 0 | 0 |
A Canonical-based NPN Boolean Matching Algorithm Utilizing Boolean Difference and Cofactor Signature | This paper presents a new compact canonical-based algorithm to solve the
problem of single-output completely specified NPN Boolean matching. We propose
a new signature vector Boolean difference and cofactor (DC) signature vector.
Our algorithm utilizes the Boolean difference, cofactor signature and symmetry
propertie... | 1 | 0 | 0 | 0 | 0 | 0 |
Cross ratios on boundaries of symmetric spaces and Euclidean buildings | We generalize the natural cross ratio on the ideal boundary of a rank one
symmetric spaces, or even $\mathrm{CAT}(-1)$ space, to higher rank symmetric
spaces and (non-locally compact) Euclidean buildings - we obtain vector valued
cross ratios defined on simplices of the building at infinity. We show several
propertie... | 0 | 0 | 1 | 0 | 0 | 0 |
Heterogeneous inputs to central pattern generators can shape insect gaits | In our previous work, we studied an interconnected bursting neuron model for
insect locomotion, and its corresponding phase oscillator model, which at high
speed can generate stable tripod gaits with three legs off the ground
simultaneously in swing, and at low speed can generate stable tetrapod gaits
with two legs o... | 0 | 0 | 0 | 0 | 1 | 0 |
Link invariants derived from multiplexing of crossings | We introduce the multiplexing of a crossing, replacing a classical crossing
of a virtual link diagram with multiple crossings which is a mixture of
classical and virtual. For integers $m_{i}$ $(i=1,\ldots,n)$ and an ordered
$n$-component virtual link diagram $D$, a new virtual link diagram
$D(m_{1},\ldots,m_{n})$ is ... | 0 | 0 | 1 | 0 | 0 | 0 |
Adaptive Algebraic Multiscale Solver for Compressible Flow in Heterogeneous Porous Media | This paper presents the development of an Adaptive Algebraic Multiscale
Solver for Compressible flow (C-AMS) in heterogeneous porous media. Similar to
the recently developed AMS for incompressible (linear) flows [Wang et al., JCP,
2014], C-AMS operates by defining primal and dual-coarse blocks on top of the
fine-scal... | 1 | 1 | 0 | 0 | 0 | 0 |
Automatic differentiation of hybrid models Illustrated by Diffedge Graphic Methodology. (Survey) | We investigate the automatic differentiation of hybrid models, viz. models
that may contain delays, logical tests and discontinuities or loops. We
consider differentiation with respect to parameters, initial conditions or the
time. We emphasize the case of a small number of derivations and iterated
differentiations a... | 1 | 0 | 0 | 0 | 0 | 0 |
Pinning down the mass of Kepler-10c: the importance of sampling and model comparison | Initial RV characterisation of the enigmatic planet Kepler-10c suggested a
mass of $\sim17$ M$_\oplus$, which was remarkably high for a planet with radius
$2.32$ R$_\oplus$; further observations and subsequent analysis hinted at a
(possibly much) lower mass, but masses derived using RVs from two different
spectrograp... | 0 | 1 | 0 | 0 | 0 | 0 |
Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy | Building effective, enjoyable, and safe autonomous vehicles is a lot harder
than has historically been considered. The reason is that, simply put, an
autonomous vehicle must interact with human beings. This interaction is not a
robotics problem nor a machine learning problem nor a psychology problem nor an
economics ... | 1 | 0 | 0 | 0 | 0 | 0 |
Controlled trapping of single particle states on a periodic substrate by deterministic stubbing | A periodic array of atomic sites, described within a tight binding formalism
is shown to be capable of trapping electronic states as it grows in size and
gets stubbed by an atom or an atomic clusters from a side in a deterministic
way. We prescribe a method based on a real space renormalization group method,
that unr... | 0 | 1 | 0 | 0 | 0 | 0 |
Adaptive Noise Cancellation Using Deep Cerebellar Model Articulation Controller | This paper proposes a deep cerebellar model articulation controller (DCMAC)
for adaptive noise cancellation (ANC). We expand upon the conventional CMAC by
stacking sin-gle-layer CMAC models into multiple layers to form a DCMAC model
and derive a modified backpropagation training algorithm to learn the DCMAC
parameter... | 1 | 0 | 0 | 0 | 0 | 0 |
A Relaxation-based Network Decomposition Algorithm for Parallel Transient Stability Simulation with Improved Convergence | Transient stability simulation of a large-scale and interconnected electric
power system involves solving a large set of differential algebraic equations
(DAEs) at every simulation time-step. With the ever-growing size and complexity
of power grids, dynamic simulation becomes more time-consuming and
computationally d... | 1 | 0 | 0 | 0 | 0 | 0 |
A Quantitative Analysis of WCAG 2.0 Compliance For Some Indian Web Portals | Web portals have served as an excellent medium to facilitate user centric
services for organizations irrespective of the type, size, and domain of
operation. The objective of these portals has been to deliver a plethora of
services such as information dissemination, transactional services, and
customer feedback. Ther... | 1 | 0 | 0 | 0 | 0 | 0 |
Portfolio Construction Matters | The role of portfolio construction in the implementation of equity market
neutral factors is often underestimated. Taking the classical momentum strategy
as an example, we show that one can significantly improve the main strategy's
features by properly taking care of this key step. More precisely, an optimized
portfo... | 0 | 0 | 0 | 0 | 0 | 1 |
Function space analysis of deep learning representation layers | In this paper we propose a function space approach to Representation Learning
and the analysis of the representation layers in deep learning architectures.
We show how to compute a weak-type Besov smoothness index that quantifies the
geometry of the clustering in the feature space. This approach was already
applied s... | 1 | 0 | 0 | 1 | 0 | 0 |
Random group cobordisms of rank 7/4 | We construct a model of random groups of rank 7/4, and show that in this
model the random group has the exponential mesoscopic rank property.
| 0 | 0 | 1 | 0 | 0 | 0 |
Transport properties across the many-body localization transition in quasiperiodic and random systems | We theoretically study transport properties in one-dimensional interacting
quasiperiodic systems at infinite temperature. We compare and contrast the
dynamical transport properties across the many-body localization (MBL)
transition in quasiperiodic and random models. Using exact diagonalization we
compute the optical... | 0 | 1 | 0 | 0 | 0 | 0 |
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net | The lasso and elastic net linear regression models impose a
double-exponential prior distribution on the model parameters to achieve
regression shrinkage and variable selection, allowing the inference of robust
models from large data sets. However, there has been limited success in
deriving estimates for the full pos... | 0 | 0 | 1 | 1 | 0 | 0 |
(Un)predictability of strong El Niño events | The El Niño-Southern Oscillation (ENSO) is a mode of interannual
variability in the coupled equatorial Pacific coupled atmosphere/ocean system.
El Niño describes a state in which sea surface temperatures in the eastern
Pacific increase and upwelling of colder, deep waters diminishes. El Niño
events typically peak in ... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Learning Assisted Heuristic Tree Search for the Container Pre-marshalling Problem | One of the key challenges for operations researchers solving real-world
problems is designing and implementing high-quality heuristics to guide their
search procedures. In the past, machine learning techniques have failed to play
a major role in operations research approaches, especially in terms of guiding
branching... | 1 | 0 | 0 | 0 | 0 | 0 |
Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates | The optimization of algorithm (hyper-)parameters is crucial for achieving
peak performance across a wide range of domains, ranging from deep neural
networks to solvers for hard combinatorial problems. The resulting algorithm
configuration (AC) problem has attracted much attention from the machine
learning community. ... | 1 | 0 | 0 | 1 | 0 | 0 |
Multiplicative local linear hazard estimation and best one-sided cross-validation | This paper develops detailed mathematical statistical theory of a new class
of cross-validation techniques of local linear kernel hazards and their
multiplicative bias corrections. The new class of cross-validation combines
principles of local information and recent advances in indirect
cross-validation. A few applic... | 0 | 0 | 0 | 1 | 0 | 0 |
Random Perturbations of Matrix Polynomials | A sum of a large-dimensional random matrix polynomial and a fixed low-rank
matrix polynomial is considered. The main assumption is that the resolvent of
the random polynomial converges to some deterministic limit. A formula for the
limit of the resolvent of the sum is derived and the eigenvalues are localised.
Three ... | 0 | 0 | 1 | 0 | 0 | 0 |
Monitoring Information Quality within Web Service Composition and Execution | The composition of web services is a promising approach enabling flexible and
loose integration of business applications. Numerous approaches related to web
services composition have been developed usually following three main phases:
the service discovery is based on the semantic description of advertised
services, ... | 1 | 0 | 0 | 0 | 0 | 0 |
An open-source platform to study uniaxial stress effects on nanoscale devices | We present an automatic measurement platform that enables the
characterization of nanodevices by electrical transport and optical
spectroscopy as a function of uniaxial stress. We provide insights into and
detailed descriptions of the mechanical device, the substrate design and
fabrication, and the instrument control... | 0 | 1 | 0 | 0 | 0 | 0 |
Nonlinear probability. A theory with incompatible stochastic variables | In 1991 J.F. Aarnes introduced the concept of quasi-measures in a compact
topological space $\Omega$ and established the connection between quasi-states
on $C (\Omega)$ and quasi-measures in $\Omega$. This work solved the linearity
problem of quasi-states on $C^*$-algebras formulated by R.V. Kadison in 1965.
The answ... | 0 | 0 | 1 | 1 | 0 | 0 |
Parametrised second-order complexity theory with applications to the study of interval computation | We extend the framework for complexity of operators in analysis devised by
Kawamura and Cook (2012) to allow for the treatment of a wider class of
representations. The main novelty is to endow represented spaces of interest
with an additional function on names, called a parameter, which measures the
complexity of a g... | 1 | 0 | 0 | 0 | 0 | 0 |
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning | Deep generative models provide powerful tools for distributions over
complicated manifolds, such as those of natural images. But many of these
methods, including generative adversarial networks (GANs), can be difficult to
train, in part because they are prone to mode collapse, which means that they
characterize only ... | 0 | 0 | 0 | 1 | 0 | 0 |
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