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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On the wave propagation analysis and supratransmission prediction of a metastable modular metastructure for adaptive non-reciprocal energy transmission | In this research, we investigate the nonlinear energy transmission phenomenon
in a reconfigurable and adaptable metastable modular metastructure. Numerical
studies on a 1D metastable chain uncover that when the driving frequency is
within the stopband of the periodic structure, there exists a threshold input
amplitud... | 0 | 1 | 0 | 0 | 0 | 0 |
Advances in Variational Inference | Many modern unsupervised or semi-supervised machine learning algorithms rely
on Bayesian probabilistic models. These models are usually intractable and thus
require approximate inference. Variational inference (VI) lets us approximate a
high-dimensional Bayesian posterior with a simpler variational distribution by
so... | 1 | 0 | 0 | 1 | 0 | 0 |
Security Against Impersonation Attacks in Distributed Systems | In a multi-agent system, transitioning from a centralized to a distributed
decision-making strategy can introduce vulnerability to adversarial
manipulation. We study the potential for adversarial manipulation in a class of
graphical coordination games where the adversary can pose as a friendly agent
in the game, ther... | 1 | 0 | 0 | 0 | 0 | 0 |
Large-Batch Training for LSTM and Beyond | Large-batch training approaches have enabled researchers to utilize
large-scale distributed processing and greatly accelerate deep-neural net (DNN)
training. For example, by scaling the batch size from 256 to 32K, researchers
have been able to reduce the training time of ResNet50 on ImageNet from 29
hours to 2.2 minu... | 1 | 0 | 0 | 1 | 0 | 0 |
One-shot and few-shot learning of word embeddings | Standard deep learning systems require thousands or millions of examples to
learn a concept, and cannot integrate new concepts easily. By contrast, humans
have an incredible ability to do one-shot or few-shot learning. For instance,
from just hearing a word used in a sentence, humans can infer a great deal
about it, ... | 1 | 0 | 0 | 1 | 0 | 0 |
Exactly Robust Kernel Principal Component Analysis | We propose a novel method called robust kernel principal component analysis
(RKPCA) to decompose a partially corrupted matrix as a sparse matrix plus a
high or full-rank matrix whose columns are drawn from a nonlinear
low-dimensional latent variable model. RKPCA can be applied to many problems
such as noise removal a... | 0 | 0 | 0 | 1 | 0 | 0 |
Moderate deviation analysis for classical communication over quantum channels | We analyse families of codes for classical data transmission over quantum
channels that have both a vanishing probability of error and a code rate
approaching capacity as the code length increases. To characterise the
fundamental tradeoff between decoding error, code rate and code length for such
codes we introduce a... | 1 | 0 | 1 | 0 | 0 | 0 |
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks | We study the training process of Deep Neural Networks (DNNs) from the Fourier
analysis perspective. Our starting point is a Frequency Principle (F-Principle)
--- DNNs initialized with small parameters often fit target functions from low
to high frequencies --- which was first proposed by Xu et al. (2018) and
Rahaman ... | 1 | 0 | 0 | 1 | 0 | 0 |
Efficient, Safe, and Probably Approximately Complete Learning of Action Models | In this paper we explore the theoretical boundaries of planning in a setting
where no model of the agent's actions is given. Instead of an action model, a
set of successfully executed plans are given and the task is to generate a plan
that is safe, i.e., guaranteed to achieve the goal without failing. To this
end, we... | 1 | 0 | 0 | 0 | 0 | 0 |
Uniform cohomological expansion of uniformly quasiregular mappings | Let $f\colon M \to M$ be a uniformly quasiregular self-mapping of a compact,
connected, and oriented Riemannian $n$-manifold $M$ without boundary, $n\ge 2$.
We show that, for $k \in \{0,\ldots, n\}$, the induced homomorphism $f^* \colon
H^k(M;\mathbb{R}) \to H^k(M;\mathbb{R})$, where $H^k(M;\mathbb{R})$ is the
$k$:th... | 0 | 0 | 1 | 0 | 0 | 0 |
The logic of pseudo-uninorms and their residua | Our method of density elimination is generalized to the non-commutative
substructural logic GpsUL*. Then the standard completeness of GpsUL* follows as
a lemma by virtue of previous work by Metcalfe and Montagna. This result shows
that GpsUL* is the logic of pseudo-uninorms and their residua and answered the
question... | 0 | 0 | 1 | 0 | 0 | 0 |
Computation of Green's functions through algebraic decomposition of operators | In this article we use linear algebra to improve the computational time for
the obtaining of Green's functions of linear differential equations with
reflection (DER). This is achieved by decomposing both the `reduced' equation
(the ODE associated to a given DER) and the corresponding two-point boundary
conditions.
| 0 | 0 | 1 | 0 | 0 | 0 |
Methods for finding leader--follower equilibria with multiple followers | The concept of leader--follower (or Stackelberg) equilibrium plays a central
role in a number of real--world applications of game theory. While the case
with a single follower has been thoroughly investigated, results with multiple
followers are only sporadic and the problem of designing and evaluating
computationall... | 1 | 0 | 0 | 0 | 0 | 0 |
Pressure Induced Superconductivity in the New Compound ScZrCo1-$δ$ | It is widely perceived that the correlation effect may play an important role
in several unconventional superconducting families, such as cuprate, iron-based
and heavy-fermion superconductors. The application of high pressure can tune
the ground state properties and balance the localization and itineracy of
electrons... | 0 | 1 | 0 | 0 | 0 | 0 |
Universal Adversarial Perturbations Against Semantic Image Segmentation | While deep learning is remarkably successful on perceptual tasks, it was also
shown to be vulnerable to adversarial perturbations of the input. These
perturbations denote noise added to the input that was generated specifically
to fool the system while being quasi-imperceptible for humans. More severely,
there even e... | 1 | 0 | 0 | 1 | 0 | 0 |
Marginal sequential Monte Carlo for doubly intractable models | Bayesian inference for models that have an intractable partition function is
known as a doubly intractable problem, where standard Monte Carlo methods are
not applicable. The past decade has seen the development of auxiliary variable
Monte Carlo techniques (M{\o}ller et al., 2006; Murray et al., 2006) for
tackling th... | 1 | 0 | 0 | 1 | 0 | 0 |
The impact of neutral impurity concentration on charge drift mobility in n-type germanium | The impact of neutral impurity scattering of electrons on the charge drift
mobility in high purity n-type germanium crystals at 77 Kelvin is investigated.
We calculated the contributions from ionized impurity scattering, lattice
scattering, and neutral impurity scattering to the total charge drift mobility
using theo... | 0 | 1 | 0 | 0 | 0 | 0 |
Calabi-Yau hypersurfaces and SU-bordism | Batyrev constructed a family of Calabi-Yau hypersurfaces dual to the first
Chern class in toric Fano varieties. Using this construction, we introduce a
family of Calabi-Yau manifolds whose SU-bordism classes generate the special
unitary bordism ring
$\varOmega^{SU}\otimes\mathbb{Z}[\frac{1}{2}]\cong\mathbb{Z}[\frac{1... | 0 | 0 | 1 | 0 | 0 | 0 |
Distribution-Based Categorization of Classifier Transfer Learning | Transfer Learning (TL) aims to transfer knowledge acquired in one problem,
the source problem, onto another problem, the target problem, dispensing with
the bottom-up construction of the target model. Due to its relevance, TL has
gained significant interest in the Machine Learning community since it paves
the way to ... | 1 | 0 | 0 | 0 | 0 | 0 |
Alexander invariants of periodic virtual knots | We show that every periodic virtual knot can be realized as the closure of a
periodic virtual braid and use this to study the Alexander invariants of
periodic virtual knots. If $K$ is a $q$-periodic and almost classical knot, we
show that its quotient knot $K_*$ is also almost classical, and in the case
$q=p^r$ is a ... | 0 | 0 | 1 | 0 | 0 | 0 |
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration | Computing optimal transport distances such as the earth mover's distance is a
fundamental problem in machine learning, statistics, and computer vision.
Despite the recent introduction of several algorithms with good empirical
performance, it is unknown whether general optimal transport distances can be
approximated i... | 1 | 0 | 0 | 1 | 0 | 0 |
Mathematical model of gender bias and homophily in professional hierarchies | Women have become better represented in business, academia, and government
over time, yet a dearth of women at the highest levels of leadership remains.
Sociologists have attributed the leaky progression of women through
professional hierarchies to various cultural and psychological factors, such as
self-segregation ... | 1 | 0 | 0 | 0 | 0 | 0 |
Monotonicity of non-pluripolar products and complex Monge-Ampère equations with prescribed singularity | We establish the monotonicity property for the mass of non-pluripolar
products on compact Kahler manifolds, and we initiate the study of complex
Monge-Ampere type equations with prescribed singularity type. Using the
variational method of Berman-Boucksom-Guedj-Zeriahi we prove existence and
uniqueness of solutions wi... | 0 | 0 | 1 | 0 | 0 | 0 |
Fast and high-quality tetrahedral mesh generation from neuroanatomical scans | Creating tetrahedral meshes with anatomically accurate surfaces is critically
important for a wide range of model-based neuroimaging modalities. However,
computationally efficient brain meshing algorithms and software are greatly
lacking. Here, we report a fully automated open-source software to rapidly
create high-q... | 0 | 1 | 0 | 0 | 0 | 0 |
Curriculum Dropout | Dropout is a very effective way of regularizing neural networks.
Stochastically "dropping out" units with a certain probability discourages
over-specific co-adaptations of feature detectors, preventing overfitting and
improving network generalization. Besides, Dropout can be interpreted as an
approximate model aggreg... | 1 | 0 | 0 | 1 | 0 | 0 |
Self-dual and logarithmic representations of the twisted Heisenberg--Virasoro algebra at level zero | This paper is a continuation of arXiv:1405.1707. We present certain new
applications and generalizations of the free field realization of the twisted
Heisenberg-Virasoro algebra ${\mathcal H}$ at level zero.
We find explicit formulas for singular vectors in certain Verma modules. A
free field realization of self-dual... | 0 | 0 | 1 | 0 | 0 | 0 |
Distance weighted discrimination of face images for gender classification | We illustrate the advantages of distance weighted discrimination for
classification and feature extraction in a High Dimension Low Sample Size
(HDLSS) situation. The HDLSS context is a gender classification problem of face
images in which the dimension of the data is several orders of magnitude larger
than the sample... | 1 | 0 | 0 | 1 | 0 | 0 |
Partition-based Unscented Kalman Filter for Reconfigurable Battery Pack State Estimation using an Electrochemical Model | Accurate state estimation of large-scale lithium-ion battery packs is
necessary for the advanced control of batteries, which could potentially
increase their lifetime through e.g. reconfiguration. To tackle this problem,
an enhanced reduced-order electrochemical model is used here. This model allows
considering a wid... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards Principled Methods for Training Generative Adversarial Networks | The goal of this paper is not to introduce a single algorithm or method, but
to make theoretical steps towards fully understanding the training dynamics of
generative adversarial networks. In order to substantiate our theoretical
analysis, we perform targeted experiments to verify our assumptions, illustrate
our clai... | 1 | 0 | 0 | 1 | 0 | 0 |
Co-Clustering for Multitask Learning | This paper presents a new multitask learning framework that learns a shared
representation among the tasks, incorporating both task and feature clusters.
The jointly-induced clusters yield a shared latent subspace where task
relationships are learned more effectively and more generally than in
state-of-the-art multit... | 1 | 0 | 0 | 1 | 0 | 0 |
Avoiding Communication in Proximal Methods for Convex Optimization Problems | The fast iterative soft thresholding algorithm (FISTA) is used to solve
convex regularized optimization problems in machine learning. Distributed
implementations of the algorithm have become popular since they enable the
analysis of large datasets. However, existing formulations of FISTA communicate
data at every ite... | 1 | 0 | 0 | 0 | 0 | 0 |
Stochastic Development Regression on Non-Linear Manifolds | We introduce a regression model for data on non-linear manifolds. The model
describes the relation between a set of manifold valued observations, such as
shapes of anatomical objects, and Euclidean explanatory variables. The approach
is based on stochastic development of Euclidean diffusion processes to the
manifold.... | 1 | 0 | 0 | 0 | 0 | 0 |
Prediction of Kidney Function from Biopsy Images Using Convolutional Neural Networks | A Convolutional Neural Network was used to predict kidney function in
patients with chronic kidney disease from high-resolution digital pathology
scans of their kidney biopsies. Kidney biopsies were taken from participants of
the NEPTUNE study, a longitudinal cohort study whose goal is to set up
infrastructure for ob... | 0 | 0 | 0 | 1 | 0 | 0 |
Weighing neutrinos in dynamical dark energy models | We briefly review the recent results of constraining neutrino mass in
dynamical dark energy models using cosmological observations and summarize the
findings. (i) In dynamical dark energy models, compared to $\Lambda$CDM, the
upper limit of $\sum m_\nu$ can become larger and can also become smaller. In
the cases of p... | 0 | 1 | 0 | 0 | 0 | 0 |
Can supersymmetry emerge at a quantum critical point? | Supersymmetry plays an important role in superstring theory and particle
physics, but has never been observed in experiments. At certain quantum
critical points of condensed matter systems, the fermionic excitations are
gapless due to the special electronic structure whereas the bosonic order
parameter is automatical... | 0 | 1 | 0 | 0 | 0 | 0 |
Five-parameter potential box with inverse square singular boundaries | Using the Tridiagonal Representation Approach, we obtain solutions (energy
spectrum and corresponding wavefunctions) for a new five-parameter potential
box with inverse square singularity at the boundaries.
| 0 | 1 | 0 | 0 | 0 | 0 |
Succinctness in subsystems of the spatial mu-calculus | In this paper we systematically explore questions of succinctness in modal
logics employed in spatial reasoning. We show that the closure operator,
despite being less expressive, is exponentially more succinct than the
limit-point operator, and that the $\mu$-calculus is exponentially more
succinct than the equally-e... | 0 | 0 | 1 | 0 | 0 | 0 |
Evidence for electronically-driven ferroelectricity in the family of strongly correlated dimerized BEDT-TTF molecular conductors | By applying measurements of the dielectric constants and relative length
changes to the dimerized molecular conductor
$\kappa$-(BEDT-TTF)$_2$Hg(SCN)$_2$Cl, we provide evidence for order-disorder
type electronic ferroelectricity which is driven by charge order within the
(BEDT-TTF)$_2$ dimers and stabilized by a coupl... | 0 | 1 | 0 | 0 | 0 | 0 |
Testing FLUKA on neutron activation of Si and Ge at nuclear research reactor using gamma spectroscopy | Samples of two characteristic semiconductor sensor materials, silicon and
germanium, have been irradiated with neutrons produced at the RP-10 Nuclear
Research Reactor at 4.5 MW. Their radionuclides photon spectra have been
measured with high resolution gamma spectroscopy, quantifying four
radioisotopes ($^{28}$Al, $^... | 0 | 1 | 0 | 0 | 0 | 0 |
Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes | Databases are widespread, yet extracting relevant data can be difficult.
Without substantial domain knowledge, multivariate search queries often return
sparse or uninformative results. This paper introduces an approach for
searching structured data based on probabilistic programming and nonparametric
Bayes. Users spe... | 1 | 0 | 0 | 1 | 0 | 0 |
Superposition of p-superharmonic functions | The Dominative $p$-Laplace Operator is introduced. This operator is a
relative to the $p$-Laplacian, but with the distinguishing property of being
sublinear. It explains the superposition principle in the $p$-Laplace Equation.
| 0 | 0 | 1 | 0 | 0 | 0 |
Ramsey properties and extending partial automorphisms for classes of finite structures | We show that every free amalgamation class of finite structures with
relations and (symmetric) partial functions is a Ramsey class when enriched by
a free linear ordering of vertices. This is a common strengthening of the
Nešetřil-Rödl Theorem and the second and third authors' Ramsey
theorem for finite models (that i... | 1 | 0 | 1 | 0 | 0 | 0 |
Estimation of the shape of the density contours of star-shaped distributions | Elliptically contoured distributions generalize the multivariate normal
distributions in such a way that the density generators need not be
exponential. However, as the name suggests, elliptically contoured
distributions remain to be restricted in that the similar density contours
ought to be elliptical. Kamiya, Take... | 0 | 0 | 1 | 1 | 0 | 0 |
Aggregated Pairwise Classification of Statistical Shapes | The classification of shapes is of great interest in diverse areas ranging
from medical imaging to computer vision and beyond. While many statistical
frameworks have been developed for the classification problem, most are
strongly tied to early formulations of the problem - with an object to be
classified described a... | 1 | 0 | 0 | 1 | 0 | 0 |
The MUSE-Wide survey: Detection of a clustering signal from Lyman-α-emitters at 3<z<6 | We present a clustering analysis of a sample of 238 Ly{$\alpha$}-emitters at
redshift 3<z<6 from the MUSE-Wide survey. This survey mosaics extragalactic
legacy fields with 1h MUSE pointings to detect statistically relevant samples
of emission line galaxies. We analysed the first year observations from
MUSE-Wide makin... | 0 | 1 | 0 | 0 | 0 | 0 |
On Polymorphic Sessions and Functions: A Tale of Two (Fully Abstract) Encodings | This work exploits the logical foundation of session types to determine what
kind of type discipline for the pi-calculus can exactly capture, and is
captured by, lambda-calculus behaviours. Leveraging the proof theoretic content
of the soundness and completeness of sequent calculus and natural deduction
presentations... | 1 | 0 | 0 | 0 | 0 | 0 |
Effects of initial spatial phase in radiative neutrino pair emission | We study radiative neutrino pair emission in deexcitation process of atoms
taking into account coherence effect in a macroscopic target system. In the
course of preparing the coherent initial state to enhance the rate, a spatial
phase factor is imprinted in the macroscopic target. It is shown that this
initial spatia... | 0 | 1 | 0 | 0 | 0 | 0 |
Finite-sample risk bounds for maximum likelihood estimation with arbitrary penalties | The MDL two-part coding $ \textit{index of resolvability} $ provides a
finite-sample upper bound on the statistical risk of penalized likelihood
estimators over countable models. However, the bound does not apply to
unpenalized maximum likelihood estimation or procedures with exceedingly small
penalties. In this pape... | 0 | 0 | 1 | 1 | 0 | 0 |
Integrated Modeling of Second Phase Precipitation in Cold-Worked 316 Stainless Steels under Irradiation | The current work combines the Cluster Dynamics (CD) technique and
CALPHAD-based precipitation modeling to address the second phase precipitation
in cold-worked (CW) 316 stainless steels (SS) under irradiation at 300-400 C.
CD provides the radiation enhanced diffusion and dislocation evolution as
inputs for the precip... | 0 | 1 | 0 | 0 | 0 | 0 |
Emergent topological superconductivity at nematic domain wall of FeSe | One dimensional hybrid systems play an important role in the search for
topological superconductivity. Nevertheless, all one dimensional hybrid systems
so far have been externally defined. Here we show that one-dimensional domain
wall in a nematic superconductor can serve as an emergent hybrid system in the
presence ... | 0 | 1 | 0 | 0 | 0 | 0 |
Linear and nonlinear market correlations: characterizing financial crises and portfolio optimization | Pearson correlation and mutual information based complex networks of the
day-to-day returns of US S&P500 stocks between 1985 and 2015 have been
constructed in order to investigate the mutual dependencies of the stocks and
their nature. We show that both networks detect qualitative differences
especially during (recen... | 0 | 1 | 0 | 0 | 0 | 0 |
An explicit projective bimodule resolution of a Leavitt path algebra | We construct an explicit projective bimodule resolution for the Leavitt path
algebra of a row-finite quiver. We prove that the Leavitt path algebra of a
row-countable quiver has Hochschild cohomolgical dimension at most one, that
is, it is quasi-free in the sense of Cuntz-Quillen. The construction of the
resolution r... | 0 | 0 | 1 | 0 | 0 | 0 |
Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks | Modern deep neural networks (DNNs) spend a large amount of their execution
time computing convolutions. Winograd's minimal algorithm for small
convolutions can greatly reduce the number of arithmetic operations. However, a
large reduction in floating point (FP) operations in these algorithms can
result in poor numeri... | 1 | 0 | 0 | 1 | 0 | 0 |
Active Learning amidst Logical Knowledge | Structured prediction is ubiquitous in applications of machine learning such
as knowledge extraction and natural language processing. Structure often can be
formulated in terms of logical constraints. We consider the question of how to
perform efficient active learning in the presence of logical constraints among
var... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Limiting Stokes' Wave of Extreme Height in Arbitrary Water Depth | As mentioned by Schwartz (1974) and Cokelet (1977), it was failed to gain
convergent results of limiting Stokes' waves in extremely shallow water by
means of perturbation methods even with the aid of extrapolation techniques
such as Padé approximant. Especially, it is extremely difficult for
traditional analytic/nume... | 0 | 1 | 0 | 0 | 0 | 0 |
Pressure impact on the stability and distortion of the crystal structure of CeScO3 | The effects of high pressure on the crystal structure of orthorhombic (Pnma)
perovskite type cerium scandate have been studied in situ under high pressure
by means of synchrotron x-ray powder diffraction, using a diamond anvil cell.
We have found that the perovskite type crystal structure remains stable up to
40 GPa,... | 0 | 1 | 0 | 0 | 0 | 0 |
The system of cloud oriented learning tools as an element of educational and scientific environment of high school | The aim of this research is to design and implementation of cloud based
learning environment for separate division of the university. The analysis of
existing approaches to the construction of cloud based learning environments,
the formation of requirements cloud based learning tools, the selection on the
basis of th... | 1 | 0 | 0 | 0 | 0 | 0 |
Chemical abundances of two extragalactic young massive clusters | We use integrated-light spectroscopic observations to measure metallicities
and chemical abundances for two extragalactic young massive star clusters
(NGC1313-379 and NGC1705-1). The spectra were obtained with the X-Shooter
spectrograph on the ESO Very Large Telescope. We compute synthetic
integrated-light spectra, b... | 0 | 1 | 0 | 0 | 0 | 0 |
Clingo goes Linear Constraints over Reals and Integers | The recent series 5 of the ASP system clingo provides generic means to
enhance basic Answer Set Programming (ASP) with theory reasoning capabilities.
We instantiate this framework with different forms of linear constraints,
discuss the respective implementations, and present techniques of how to use
these constraints... | 1 | 0 | 0 | 0 | 0 | 0 |
Dynamic Uplink/Downlink Resource Management in Flexible Duplex-Enabled Wireless Networks | Flexible duplex is proposed to adapt to the channel and traffic asymmetry for
future wireless networks. In this paper, we propose two novel algorithms within
the flexible duplex framework for joint uplink and downlink resource allocation
in multi-cell scenario, named SAFP and RMDI, based on the awareness of
interfere... | 1 | 0 | 0 | 0 | 0 | 0 |
Carleman estimates for forward and backward stochastic fourth order Schrödinger equations and their applications | In this paper, we establish the Carleman estimates for forward and backward
stochastic fourth order Schrödinger equations, on basis of which, we can
obtain the observability, unique continuation property and the exact
controllability for the forward and backward stochastic fourth order
Schrödinger equations.
| 0 | 0 | 1 | 0 | 0 | 0 |
Reply to comment on `Poynting flux in the neighbourhood of a point charge in arbitrary motion and the radiative power losses' | Doubts have been expressed in a comment (Eur. J. Phys., 39, 018001, 2018),
about the tenability of the formulation for radiative losses in our recent
published work (Eur. J. Phys., 37, 045210, 2016). We provide our reply to the
comment. In particular, it is pointed out that one need to clearly distinguish
between the... | 0 | 1 | 0 | 0 | 0 | 0 |
Delegated Causality of Complex Systems | A notion of delegated causality is introduced. This subtle kind of causality
is dual to interventional causality. Delegated causality elucidates the causal
role of dynamical systems at the "edge of chaos", explicates evident cases of
downward causation, and relates emergent phenomena to Godel's incompleteness
theorem... | 0 | 1 | 0 | 0 | 0 | 0 |
Resonating Valence Bond Theory of Superconductivity: Beyond Cuprates | Resonating valence bond (RVB) theory of high Tc superconductivity, an
electron correlation based mechanism, began as an insightful response by
Anderson, to Bednorz and Muller's discovery of high Tc superconductivity in
cuprates in late 1986. Shortly a theoretical framework for quantum spin liquids
and superconductivi... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient and accurate numerical schemes for a hydrodynamically coupled phase field diblock copolymer model | In this paper, we consider numerical approximations of a hydrodynamically
coupled phase field diblock copolymer model, in which the free energy contains
a kinetic potential, a gradient entropy, a Ginzburg-Landau double well
potential, and a long range nonlocal type potential. We develop a set of second
order time mar... | 0 | 0 | 1 | 0 | 0 | 0 |
Brownian Motion of a Classical Particle in Quantum Environment | The Klein-Kramers equation, governing the Brownian motion of a classical
particle in quantum environment under the action of an arbitrary external
potential, is derived. Quantum temperature and friction operators are
introduced and at large friction the corresponding Smoluchowski equation is
obtained. Introducing the... | 0 | 1 | 0 | 0 | 0 | 0 |
Hierarchical Policy Search via Return-Weighted Density Estimation | Learning an optimal policy from a multi-modal reward function is a
challenging problem in reinforcement learning (RL). Hierarchical RL (HRL)
tackles this problem by learning a hierarchical policy, where multiple option
policies are in charge of different strategies corresponding to modes of a
reward function and a ga... | 1 | 0 | 0 | 1 | 0 | 0 |
Two-dimensional Fourier transformations and Mordell integrals | Several Fourier transformations of functions of one and two variables are
evaluated and then used to derive some integral and series identities. It is
shown that certain two- dimensional Mordell integrals factorize into product of
two integrals and that the square of the absolute value of the Mordell integral
can be ... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimal Allocation of Static Var Compensator via Mixed Integer Conic Programming | Shunt FACTS devices, such as, a Static Var Compensator (SVC), are capable of
providing local reactive power compensation. They are widely used in the
network to reduce the real power loss and improve the voltage profile. This
paper proposes a planning model based on mixed integer conic programming (MICP)
to optimally... | 0 | 0 | 1 | 0 | 0 | 0 |
Polarity tuning of spin-orbit-induced spin splitting in two-dimensional transition metal dichalcogenides semiconductors | The established spin splitting in monolayer (ML) of transition metal
dichalcogenides (TMDs) that is caused by inversion symmetry breaking is
dictated by mirror symmetry operations to exhibit fully out-of-plane direction
of spin polarization. Through first-principles density functional theory
calculations, we show tha... | 0 | 1 | 0 | 0 | 0 | 0 |
Some parametrized dynamic priority policies for 2-class M/G/1 queues: completeness and applications | Completeness of a dynamic priority scheduling scheme is of fundamental
importance for the optimal control of queues in areas as diverse as computer
communications, communication networks, supply chains and manufacturing
systems. Our first main contribution is to identify the mean waiting time
completeness as a unifyi... | 1 | 0 | 0 | 0 | 0 | 0 |
Vector bundles over classifying spaces of p-local finite groups and Benson-Carlson duality | In this paper we obtain a description of the Grothendieck group of complex
vector bundles over the classifying space of a p-local finite group in terms of
representation rings of subgroups of its Sylow. We also prove a stable elements
formula for generalized cohomological invariants of p-local finite groups,
which is... | 0 | 0 | 1 | 0 | 0 | 0 |
Identification of a complete YPT1 Rab GTPase sequence from the fungal pathogen Colletotrichum incanum | Colletotrichum represent a genus of fungal species primarily known as plant
pathogens with severe economic impacts in temperate, subtropical and tropical
climates Consensus taxonomy and classification systems for Colletotrichum
species have been undergoing revision as high resolution genomic data becomes
available. H... | 0 | 0 | 0 | 0 | 1 | 0 |
Multiplicative Structure in the Stable Splitting of $ΩSL_n(\mathbb{C})$ | The space of based loops in $SL_n(\mathbb{C})$, also known as the affine
Grassmannian of $SL_n(\mathbb{C})$, admits an $\mathbb{E}_2$ or fusion product.
Work of Mitchell and Richter proves that this based loop space stably splits as
an infinite wedge sum. We prove that the Mitchell--Richter splitting is
coherently mu... | 0 | 0 | 1 | 0 | 0 | 0 |
Strange duality on rational surfaces II: higher rank cases | We study Le Potier's strange duality conjecture on a rational surface. We
focus on the strange duality map $SD_{c_n^r,L}$ which involves the moduli space
of rank $r$ sheaves with trivial first Chern class and second Chern class $n$,
and the moduli space of 1-dimensional sheaves with determinant $L$ and Euler
characte... | 0 | 0 | 1 | 0 | 0 | 0 |
Graph learning under sparsity priors | Graph signals offer a very generic and natural representation for data that
lives on networks or irregular structures. The actual data structure is however
often unknown a priori but can sometimes be estimated from the knowledge of the
application domain. If this is not possible, the data structure has to be
inferred... | 1 | 0 | 0 | 1 | 0 | 0 |
Improving Trajectory Optimization using a Roadmap Framework | We present an evaluation of several representative sampling-based and
optimization-based motion planners, and then introduce an integrated motion
planning system which incorporates recent advances in trajectory optimization
into a sparse roadmap framework. Through experiments in 4 common application
scenarios with 50... | 1 | 0 | 0 | 0 | 0 | 0 |
Smooth and Efficient Policy Exploration for Robot Trajectory Learning | Many policy search algorithms have been proposed for robot learning and
proved to be practical in real robot applications. However, there are still
hyperparameters in the algorithms, such as the exploration rate, which requires
manual tuning. The existing methods to design the exploration rate manually or
automatical... | 1 | 0 | 0 | 0 | 0 | 0 |
Social Innovation and the Evolution of Creative, Sustainable Worldviews | The ideas that we forge creatively as individuals and groups build on one
another in a manner that is cumulative and adaptive, forming open-ended
lineages across space and time. Thus, human culture is believed to evolve. The
pervasiveness of cross-domain creativity--as when a song inspires a
painting--would appear in... | 0 | 0 | 0 | 0 | 1 | 0 |
Interaction between magnetic moments and itinerant carriers in d0 ferromagnetic SiC | Elucidating the interaction between magnetic moments and itinerant carriers
is an important step to spintronic applications. Here, we investigate magnetic
and transport properties in d0 ferromagnetic SiC single crystals prepared by
postimplantation pulsed laser annealing. Magnetic moments are contributed by
the p sta... | 0 | 1 | 0 | 0 | 0 | 0 |
Il Fattore di Sylvester | Sylvester factor, an essential part of the asymptotic formula of Hardy and
Littlewood which is the extended Goldbach conjecture, regarded as strongly
multiplicative arithmetic function, has several remarkable properties.
| 0 | 0 | 1 | 0 | 0 | 0 |
Bright and Gap Solitons in Membrane-Type Acoustic Metamaterials | We study analytically and numerically envelope solitons (bright and gap
solitons) in a one-dimensional, nonlinear acoustic metamaterial, composed of an
air-filled waveguide periodically loaded by clamped elastic plates. Based on
the transmission line approach, we derive a nonlinear dynamical lattice model
which, in t... | 0 | 1 | 0 | 0 | 0 | 0 |
Local reservoir model for choice-based learning | Decision making based on behavioral and neural observations of living systems
has been extensively studied in brain science, psychology, and other
disciplines. Decision-making mechanisms have also been experimentally
implemented in physical processes, such as single photons and chaotic lasers.
The findings of these e... | 0 | 0 | 0 | 1 | 1 | 0 |
Weil-Petersson geometry on the space of Bridgeland stability conditions | Inspired by mirror symmetry, we investigate some differential geometric
aspects of the space of Bridgeland stability conditions on a Calabi-Yau
triangulated category. The aim is to develop theory of Weil-Petersson geometry
on the stringy Kähler moduli space. A few basic examples are studied. In
particular, we identif... | 0 | 0 | 1 | 0 | 0 | 0 |
Analysis of a Sputtered Si Surface for Ar Sputter Gas Supply Purity Monitoring | For sputter depth profiling often sample erosion by Ar+ ions is used. Only a
high purity of the sputter gas and a low contamination level of the ion gun
avoids misleading depth profile measurements results. Here a new measurement
procedure is presented, which monitors these parameters. A Si sample is
sputtered inside... | 0 | 1 | 0 | 0 | 0 | 0 |
Extracting spectroscopic molecular parameters from short pulse photo-electron angular distributions | Using a quantum wave packet simulation including the nuclear and electronic
degrees of freedom, we investigate the femtosecond and picosecond energy- and
angle-resolved photoelectron spectra of the E($^1\Sigma_g^+$) electronic state
of Li$_2$. We find that the angular distributions of the emitted photoelectrons
depen... | 0 | 1 | 0 | 0 | 0 | 0 |
A Generative Model for Score Normalization in Speaker Recognition | We propose a theoretical framework for thinking about score normalization,
which confirms that normalization is not needed under (admittedly fragile)
ideal conditions. If, however, these conditions are not met, e.g. under
data-set shift between training and runtime, our theory reveals dependencies
between scores that... | 1 | 0 | 0 | 1 | 0 | 0 |
Deep Networks tag the location of bird vocalisations on audio spectrograms | This work focuses on reliable detection and segmentation of bird
vocalizations as recorded in the open field. Acoustic detection of avian sounds
can be used for the automatized monitoring of multiple bird taxa and querying
in long-term recordings for species of interest. These tasks are tackled in
this work, by sugge... | 1 | 0 | 0 | 0 | 0 | 0 |
To Wait or Not to Wait: Two-way Functional Hazards Model for Understanding Waiting in Call Centers | Telephone call centers offer a convenient communication channel between
businesses and their customers. Efficient management of call centers needs
accurate modeling of customer waiting behavior, which contains important
information about customer patience (how long a customer is willing to wait)
and service quality (... | 0 | 0 | 0 | 1 | 0 | 0 |
Bayesian Gaussian models for interpolating large-dimensional data at misaligned areal units | Areal level spatial data are often large, sparse and may appear with
geographical shapes that are regular or irregular (e.g., postcode). Moreover,
sometimes it is important to obtain predictive inference in regular or
irregular areal shapes that is misaligned with the observed spatial areal
geographical boundary. For... | 0 | 0 | 0 | 1 | 0 | 0 |
Report on TBAS 2012: Workshop on Task-Based and Aggregated Search | The ECIR half-day workshop on Task-Based and Aggregated Search (TBAS) was
held in Barcelona, Spain on 1 April 2012. The program included a keynote talk
by Professor Jarvelin, six full paper presentations, two poster presentations,
and an interactive discussion among the approximately 25 participants. This
report over... | 1 | 0 | 0 | 0 | 0 | 0 |
Reliability of the measured velocity anisotropy of the Milky Way stellar halo | Determining the velocity distribution of halo stars is essential for
estimating the mass of the Milky Way and for inferring its formation history.
Since the stellar halo is a dynamically hot system, the velocity distribution
of halo stars is well described by the 3-dimensional velocity dispersions
$(\sigma_r, \sigma_... | 0 | 1 | 0 | 0 | 0 | 0 |
$H$-compactness of elliptic operators on weighted Riemannian Manifolds | In this paper we study the asymptotic behavior of second-order uniformly
elliptic operators on weighted Riemannian manifolds. We appeal to the notion of
\mbox{$H$-convergence} introduced by Murat and Tartar. In our main result we
establish an \mbox{$H$-compactness} result that applies to elliptic operators
with measu... | 0 | 0 | 1 | 0 | 0 | 0 |
$b$-symbol distance distribution of repeated-root cyclic codes | Symbol-pair codes, introduced by Cassuto and Blaum [1], have been raised for
symbol-pair read channels. This new idea is motivated by the limitation of the
reading process in high-density data storage technologies. Yaakobi et al. [8]
introduced codes for $b$-symbol read channels, where the read operation is
performed... | 1 | 0 | 0 | 0 | 0 | 0 |
Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images | We present a baseline approach for cross-modal knowledge fusion. Different
basic fusion methods are evaluated on existing embedding approaches to show the
potential of joining knowledge about certain concepts across modalities in a
fused concept representation.
| 1 | 0 | 0 | 1 | 0 | 0 |
Observation of spin superfluidity: YIG magnetic films and beyond | From topology of the order parameter of the magnon condensate observed in
yttrium-iron-garnet (YIG) magnetic films one must not expect energetic barriers
making spin supercurrents metastable. But we show that some barriers of
dynamical origin are possible nevertheless until the gradient of the phase
(angle of spin pr... | 0 | 1 | 0 | 0 | 0 | 0 |
Tuning of Interlayer Coupling in Large-Area Graphene/WSe2 van der Waals Heterostructure via Ion Irradiation: Optical Evidences and Photonic Applications | Van der Waals (vdW) heterostructures are receiving great attentions due to
their intriguing properties and potentials in many research fields. The flow of
charge carriers in vdW heterostructures can be efficiently rectified by the
inter-layer coupling between neighboring layers, offering a rich collection of
function... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning to Multi-Task by Active Sampling | One of the long-standing challenges in Artificial Intelligence for learning
goal-directed behavior is to build a single agent which can solve multiple
tasks. Recent progress in multi-task learning for goal-directed sequential
problems has been in the form of distillation based learning wherein a student
network learn... | 1 | 0 | 0 | 0 | 0 | 0 |
Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks | We prove, under two sufficient conditions, that idealised models can have no
adversarial examples. We discuss which idealised models satisfy our conditions,
and show that idealised Bayesian neural networks (BNNs) satisfy these. We
continue by studying near-idealised BNNs using HMC inference, demonstrating the
theoret... | 0 | 0 | 0 | 1 | 0 | 0 |
Long term availability of raw experimental data in experimental fracture mechanics | Experimental data availability is a cornerstone for reproducibility in
experimental fracture mechanics, which is crucial to the scientific method.
This short communication focuses on the accessibility and long term
availability of raw experimental data. The corresponding authors of the eleven
most cited papers, relat... | 0 | 0 | 0 | 1 | 0 | 0 |
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