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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LPCNet: Improving Neural Speech Synthesis Through Linear Prediction | Neural speech synthesis models have recently demonstrated the ability to
synthesize high quality speech for text-to-speech and compression applications.
These new models often require powerful GPUs to achieve real-time operation, so
being able to reduce their complexity would open the way for many new
applications. W... | 1 | 0 | 0 | 0 | 0 | 0 |
Coherent anti-Stokes Raman Scattering Lidar Using Slow Light: A Theoretical Study | We theoretically investigate a scheme in which backward coherent anti-Stokes
Raman scattering (CARS) is significantly enhanced by using slow light.
Specifically, we reduce the group velocity of the Stokes excitation pulse by
introducing a coupling laser that causes electromagnetically induced
transparency (EIT). When... | 0 | 1 | 0 | 0 | 0 | 0 |
Tests based on characterizations, and their efficiencies: a survey | A survey of goodness-of-fit and symmetry tests based on the characterization
properties of distributions is presented. This approach became popular in
recent years. In most cases the test statistics are functionals of
$U$-empirical processes. The limiting distributions and large deviations of new
statistics under the... | 0 | 0 | 1 | 1 | 0 | 0 |
Hyperprior on symmetric Dirichlet distribution | In this article we introduce how to put vague hyperprior on Dirichlet
distribution, and we update the parameter of it by adaptive rejection sampling
(ARS). Finally we analyze this hyperprior in an over-fitted mixture model by
some synthetic experiments.
| 1 | 0 | 0 | 0 | 0 | 0 |
On the interpretability and computational reliability of frequency-domain Granger causality | This is a comment to the paper 'A study of problems encountered in Granger
causality analysis from a neuroscience perspective'. We agree that
interpretation issues of Granger Causality in Neuroscience exist (partially due
to the historical unfortunate use of the name 'causality', as nicely described
in previous liter... | 0 | 0 | 1 | 1 | 0 | 0 |
Artificial topological models based on a one-dimensional spin-dependent optical lattice | Topological matter is a popular topic in both condensed matter and cold atom
research. In the past decades, a variety of models have been identified with
fascinating topological features. Some, but not all, of the models can be found
in materials. As a fully controllable system, cold atoms trapped in optical
lattices... | 0 | 1 | 0 | 0 | 0 | 0 |
Ramsey expansions of metrically homogeneous graphs | We discuss the Ramsey property, the existence of a stationary independence
relation and the coherent extension property for partial isometries (coherent
EPPA) for all classes of metrically homogeneous graphs from Cherlin's
catalogue, which is conjectured to include all such structures. We show that,
with the exceptio... | 1 | 0 | 1 | 0 | 0 | 0 |
Rapidly star-forming galaxies adjacent to quasars at redshifts exceeding 6 | The existence of massive ($10^{11}$ solar masses) elliptical galaxies by
redshift z~4 (when the Universe was 1.5 billion years old) necessitates the
presence of galaxies with star-formation rates exceeding 100 solar masses per
year at z>6 (corresponding to an age of the Universe of less than 1 billion
years). Surveys... | 0 | 1 | 0 | 0 | 0 | 0 |
Regular irreducible characters of a hyperspecial compact group | A parametrization of irreducible unitary representations associated with the
regular adjoint orbits of a hyperspecial compact subgroup of a reductive group
over a non-dyadic non-archimedean local filed is presented. The parametrization
is given by means of (a subset of) the character group of certain finite
abelian g... | 0 | 0 | 1 | 0 | 0 | 0 |
Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces | In this work we study the problem of exploring surfaces and building compact
3D representations of the environment surrounding a robot through active
perception. We propose an online probabilistic framework that merges visual and
tactile measurements using Gaussian Random Field and Gaussian Process Implicit
Surfaces.... | 1 | 0 | 0 | 0 | 0 | 0 |
Doing good vs. avoiding bad in prosocial choice: A refined test and extension of the morality preference hypothesis | Prosociality is fundamental to human social life, and, accordingly, much
research has attempted to explain human prosocial behavior. Capraro and Rand
(Judgment and Decision Making, 13, 99-111, 2018) recently provided experimental
evidence that prosociality in anonymous, one-shot interactions (such as
Prisoner's Dilem... | 0 | 0 | 0 | 0 | 1 | 0 |
Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach | Territorial control is a key aspect shaping the dynamics of civil war.
Despite its importance, we lack data on territorial control that are
fine-grained enough to account for subnational spatio-temporal variation and
that cover a large set of conflicts. To resolve this issue, we propose a
theoretical model of the rel... | 1 | 0 | 0 | 1 | 0 | 0 |
Virtual quandle for links in lens spaces | We construct a virtual quandle for links in lens spaces $L(p,q)$, with $q=1$.
This invariant has two valuable advantages over an ordinary fundamental quandle
for links in lens spaces: the virtual quandle is an essential invariant and the
presentation of the virtual quandle can be easily written from the band diagram
... | 0 | 0 | 1 | 0 | 0 | 0 |
Adaptation to Easy Data in Prediction with Limited Advice | We derive an online learning algorithm with improved regret guarantees for
`easy' loss sequences. We consider two types of `easiness': (a) stochastic loss
sequences and (b) adversarial loss sequences with small effective range of the
losses. While a number of algorithms have been proposed for exploiting small
effecti... | 0 | 0 | 0 | 1 | 0 | 0 |
Why Bohr was (Mostly) Right | After a discussion of the Frauchiger-Renner argument that no 'single- world'
interpretation of quantum mechanics can be self-consistent, I propose a
'Bohrian' alternative to many-worlds or QBism as the rational option.
| 0 | 1 | 0 | 0 | 0 | 0 |
Generalizing Distance Covariance to Measure and Test Multivariate Mutual Dependence | We propose three measures of mutual dependence between multiple random
vectors. All the measures are zero if and only if the random vectors are
mutually independent. The first measure generalizes distance covariance from
pairwise dependence to mutual dependence, while the other two measures are sums
of squared distan... | 0 | 0 | 1 | 1 | 0 | 0 |
Simultaneous Inference for High Dimensional Mean Vectors | Let $X_1, \ldots, X_n\in\mathbb{R}^p$ be i.i.d. random vectors. We aim to
perform simultaneous inference for the mean vector $\mathbb{E} (X_i)$ with
finite polynomial moments and an ultra high dimension. Our approach is based on
the truncated sample mean vector. A Gaussian approximation result is derived
for the latt... | 0 | 0 | 1 | 1 | 0 | 0 |
Joint Routing, Scheduling and Power Control Providing Hard Deadline in Wireless Multihop Networks | We consider optimal/efficient power allocation policies in a single/multihop
wireless network in the presence of hard end-to-end deadline delay constraints
on the transmitted packets. Such constraints can be useful for real time voice
and video. Power is consumed in only transmission of the data. We consider the
case... | 1 | 0 | 0 | 0 | 0 | 0 |
Activation of Microwave Fields in a Spin-Torque Nano-Oscillator by Neuronal Action Potentials | Action potentials are the basic unit of information in the nervous system and
their reliable detection and decoding holds the key to understanding how the
brain generates complex thought and behavior. Transducing these signals into
microwave field oscillations can enable wireless sensors that report on brain
activity... | 0 | 1 | 0 | 0 | 0 | 0 |
Responses in Large-Scale Structure | We introduce a rigorous definition of general power-spectrum responses as
resummed vertices with two hard and $n$ soft momenta in cosmological
perturbation theory. These responses measure the impact of long-wavelength
perturbations on the local small-scale power spectrum. The kinematic structure
of the responses (i.e... | 0 | 1 | 0 | 0 | 0 | 0 |
Graph isomorphisms in quasi-polynomial time | Let us be given two graphs $\Gamma_1$, $\Gamma_2$ of $n$ vertices. Are they
isomorphic? If they are, the set of isomorphisms from $\Gamma_1$ to $\Gamma_2$
can be identified with a coset $H\cdot\pi$ inside the symmetric group on $n$
elements. How do we find $\pi$ and a set of generators of $H$?
The challenge of giving... | 0 | 0 | 1 | 0 | 0 | 0 |
Hardware-Aware Machine Learning: Modeling and Optimization | Recent breakthroughs in Deep Learning (DL) applications have made DL models a
key component in almost every modern computing system. The increased popularity
of DL applications deployed on a wide-spectrum of platforms have resulted in a
plethora of design challenges related to the constraints introduced by the
hardwa... | 0 | 0 | 0 | 1 | 0 | 0 |
On the unit distance problem | The Erd\H os unit distance conjecture in the plane says that the number of
pairs of points from a point set of size $n$ separated by a fixed (Euclidean)
distance is $\leq C_{\epsilon} n^{1+\epsilon}$ for any $\epsilon>0$. The best
known bound is $Cn^{\frac{4}{3}}$. We show that if the set under consideration
is well-... | 0 | 0 | 1 | 0 | 0 | 0 |
Ordered states in the Kitaev-Heisenberg model: From 1D chains to 2D honeycomb | We study the ground state of the 1D Kitaev-Heisenberg (KH) model using the
density-matrix renormalization group and Lanczos exact diagonalization methods.
We obtain a rich ground-state phase diagram as a function of the ratio between
Heisenberg ($J=\cos\phi)$ and Kitaev ($K=\sin\phi$) interactions. Depending on
the r... | 0 | 1 | 0 | 0 | 0 | 0 |
Quadratic forms and Sobolev spaces of fractional order | We study quadratic functionals on $L^2(\mathbb{R}^d)$ that generate seminorms
in the fractional Sobolev space $H^s(\mathbb{R}^d)$ for $0 < s < 1$. The
functionals under consideration appear in the study of Markov jump processes
and, independently, in recent research on the Boltzmann equation. The
functional measures ... | 0 | 0 | 1 | 0 | 0 | 0 |
General Latent Feature Modeling for Data Exploration Tasks | This paper introduces a general Bayesian non- parametric latent feature model
suitable to per- form automatic exploratory analysis of heterogeneous datasets,
where the attributes describing each object can be either discrete, continuous
or mixed variables. The proposed model presents several important properties.
Fir... | 1 | 0 | 0 | 1 | 0 | 0 |
The ALMA View of the OMC1 Explosion in Orion | Most massive stars form in dense clusters where gravitational interactions
with other stars may be common. The two nearest forming massive stars, the BN
object and Source I, located behind the Orion Nebula, were ejected with
velocities of $\sim$29 and $\sim$13 km s$^{-1}$ about 500 years ago by such
interactions. Thi... | 0 | 1 | 0 | 0 | 0 | 0 |
Neurology-as-a-Service for the Developing World | Electroencephalography (EEG) is an extensively-used and well-studied
technique in the field of medical diagnostics and treatment for brain
disorders, including epilepsy, migraines, and tumors. The analysis and
interpretation of EEGs require physicians to have specialized training, which
is not common even among most ... | 1 | 0 | 0 | 1 | 0 | 0 |
Estimation of Low-Rank Matrices via Approximate Message Passing | Consider the problem of estimating a low-rank symmetric matrix when its
entries are perturbed by Gaussian noise, a setting that is known as `spiked
model' or `deformed Wigner matrix'. If the empirical distribution of the
entries of the spikes is known, optimal estimators that exploit this knowledge
can substantially ... | 0 | 0 | 1 | 1 | 0 | 0 |
Simultaneous diagonalisation of the covariance and complementary covariance matrices in quaternion widely linear signal processing | Recent developments in quaternion-valued widely linear processing have
established that the exploitation of complete second-order statistics requires
consideration of both the standard covariance and the three complementary
covariance matrices. Although such matrices have a tremendous amount of
structure and their de... | 1 | 0 | 0 | 0 | 0 | 0 |
Arithmetic Siegel-Weil formula on $X_{0}(N)$ | In this paper, we proved an arithmetic Siegel-Weil formula and the modularity
of some arithmetic theta function on the modular curve $X_0(N)$ when $N$ is
square free. In the process, we also construct some generalized Delta function
for $\Gamma_0(N)$ and proved some explicit Kronecker limit formula for
Eisenstein ser... | 0 | 0 | 1 | 0 | 0 | 0 |
Perturbation, Non-Gaussianity and Reheating in a GB-$α$-Attractor Model | Motivated by $\alpha$-attractor models, in this paper we consider a
Gauss-Bonnet inflation with E-model type of potential. We consider the
Gauss-Bonnet coupling function to be the same as the E-model potential. In the
small $\alpha$ limit we obtain an attractor at $r=0$ as expected, and in the
large $\alpha$ limit we... | 0 | 1 | 0 | 0 | 0 | 0 |
Experimental determination of the frequency and field dependence of Specific Loss Power in Magnetic Fluid Hyperthermia | Magnetic nanoparticles are promising systems for biomedical applications and
in particular for Magnetic Fluid Hyperthermia, a promising therapy that
utilizes the heat released by such systems to damage tumor cells. We present an
experimental study of the physical properties that influences the capability of
heat rele... | 0 | 1 | 0 | 0 | 0 | 0 |
Training wide residual networks for deployment using a single bit for each weight | For fast and energy-efficient deployment of trained deep neural networks on
resource-constrained embedded hardware, each learned weight parameter should
ideally be represented and stored using a single bit. Error-rates usually
increase when this requirement is imposed. Here, we report large improvements
in error rate... | 0 | 0 | 0 | 1 | 0 | 0 |
IP Based Traffic Recovery: An Optimal Approach using SDN Application for Data Center Network | With the passage of time and indulgence in Information Technology, network
management has proved its significance and has become one of the most important
and challenging task in today's era of information flow. Communication networks
implement a high level of sophistication in managing and flowing the data
through s... | 1 | 0 | 0 | 0 | 0 | 0 |
Performance of Optimal Data Shaping Codes | Data shaping is a coding technique that has been proposed to increase the
lifetime of flash memory devices. Several data shaping codes have been
described in recent work, including endurance codes and direct shaping codes
for structured data. In this paper, we study information-theoretic properties
of a general class... | 1 | 0 | 0 | 0 | 0 | 0 |
Finding influential nodes for integration in brain networks using optimal percolation theory | Global integration of information in the brain results from complex
interactions of segregated brain networks. Identifying the most influential
neuronal populations that efficiently bind these networks is a fundamental
problem of systems neuroscience. Here we apply optimal percolation theory and
pharmacogenetic inter... | 0 | 0 | 0 | 0 | 1 | 0 |
Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks | Music highlights are valuable contents for music services. Most methods
focused on low-level signal features. We propose a method for extracting
highlights using high-level features from convolutional recurrent attention
networks (CRAN). CRAN utilizes convolution and recurrent layers for sequential
learning with an a... | 1 | 0 | 0 | 1 | 0 | 0 |
On Oracle-Efficient PAC RL with Rich Observations | We study the computational tractability of PAC reinforcement learning with
rich observations. We present new provably sample-efficient algorithms for
environments with deterministic hidden state dynamics and stochastic rich
observations. These methods operate in an oracle model of computation --
accessing policy and ... | 0 | 0 | 0 | 1 | 0 | 0 |
Noise induced transition in Josephson junction with second harmonic | We show a noise-induced transition in Josephson junction with fundamental as
well as second harmonic. A periodically modulated multiplicative colored noise
can stabilize an unstable configuration in such a system. The stabilization of
the unstable configuration has been captured in the effective potential of the
syst... | 0 | 1 | 0 | 0 | 0 | 0 |
Distributed Estimation of Principal Eigenspaces | Principal component analysis (PCA) is fundamental to statistical machine
learning. It extracts latent principal factors that contribute to the most
variation of the data. When data are stored across multiple machines, however,
communication cost can prohibit the computation of PCA in a central location
and distribute... | 0 | 0 | 1 | 1 | 0 | 0 |
Invariant algebraic surfaces of the FitzHugh-Nagumo system | In this paper, we characterize all the irreducible Darboux polynomials and
polynomial first integrals of FitzHugh-Nagumo (F-N) system. The method of the
weight homogeneous polynomials and the characteristic curves is widely used to
give a complete classification of Darboux polynomials of a system. However,
this metho... | 0 | 0 | 1 | 0 | 0 | 0 |
Local and global boundary rigidity and the geodesic X-ray transform in the normal gauge | In this paper we analyze the local and global boundary rigidity problem for
general Riemannian manifolds with boundary $(M,g)$ whose boundary is strictly
convex. We show that the boundary distance function, i.e., $d_g|_{\partial
M\times\partial M}$, known over suitable open sets of $\partial M$ determines
$g$ in suit... | 0 | 0 | 1 | 0 | 0 | 0 |
Adversarial Source Identification Game with Corrupted Training | We study a variant of the source identification game with training data in
which part of the training data is corrupted by an attacker. In the addressed
scenario, the defender aims at deciding whether a test sequence has been drawn
according to a discrete memoryless source $X \sim P_X$, whose statistics are
known to ... | 1 | 0 | 0 | 1 | 0 | 0 |
Toric actions and convexity in cosymplectic geometry | We prove a convexity theorem for Hamiltonian torus actions on compact
cosymplectic manifolds. We show that compact toric cosymplectic manifolds are
mapping tori of equivariant symplectomorphisms of toric symplectic manifolds.
| 0 | 0 | 1 | 0 | 0 | 0 |
Localization and Stationary Phase Approximation on Supermanifolds | Given an odd vector field $Q$ on a supermanifold $M$ and a $Q$-invariant
density $\mu$ on $M$, under certain compactness conditions on $Q$, the value of
the integral $\int_{M}\mu$ is determined by the value of $\mu$ on any
neighborhood of the vanishing locus $N$ of $Q$. We present a formula for the
integral in the ca... | 0 | 0 | 1 | 0 | 0 | 0 |
An Analytical Design Optimization Method for Electric Propulsion Systems of Multicopter UAVs with Desired Hovering Endurance | Multicopters are becoming increasingly important in both civil and military
fields. Currently, most multicopter propulsion systems are designed by
experience and trial-and-error experiments, which are costly and ineffective.
This paper proposes a simple and practical method to help designers find the
optimal propulsi... | 1 | 0 | 0 | 0 | 0 | 0 |
A Reassessment of Absolute Energies of the X-ray L Lines of Lanthanide Metals | We introduce a new technique for determining x-ray fluorescence line energies
and widths, and we present measurements made with this technique of 22 x-ray L
lines from lanthanide-series elements. The technique uses arrays of
transition-edge sensors, microcalorimeters with high energy-resolving power
that simultaneous... | 0 | 1 | 0 | 0 | 0 | 0 |
Limitations of Source-Filter Coupling In Phonation | The coupling of vocal fold (source) and vocal tract (filter) is one of the
most critical factors in source-filter articulation theory. The traditional
linear source-filter theory has been challenged by current research which
clearly shows the impact of acoustic loading on the dynamic behavior of the
vocal fold vibrat... | 1 | 0 | 0 | 0 | 0 | 0 |
Correlation between clustering and degree in affiliation networks | We are interested in the probability that two randomly selected neighbors of
a random vertex of degree (at least) $k$ are adjacent. We evaluate this
probability for a power law random intersection graph, where each vertex is
prescribed a collection of attributes and two vertices are adjacent whenever
they share a com... | 1 | 0 | 0 | 0 | 0 | 0 |
Automatic Disambiguation of French Discourse Connectives | Discourse connectives (e.g. however, because) are terms that can explicitly
convey a discourse relation within a text. While discourse connectives have
been shown to be an effective clue to automatically identify discourse
relations, they are not always used to convey such relations, thus they should
first be disambi... | 1 | 0 | 0 | 0 | 0 | 0 |
Predicting Financial Crime: Augmenting the Predictive Policing Arsenal | Financial crime is a rampant but hidden threat. In spite of this, predictive
policing systems disproportionately target "street crime" rather than white
collar crime. This paper presents the White Collar Crime Early Warning System
(WCCEWS), a white collar crime predictive model that uses random forest
classifiers to ... | 1 | 0 | 0 | 0 | 0 | 0 |
Polar codes with a stepped boundary | We consider explicit polar constructions of blocklength $n\rightarrow\infty$
for the two extreme cases of code rates $R\rightarrow1$ and $R\rightarrow0.$
For code rates $R\rightarrow1,$ we design codes with complexity order of $n\log
n$ in code construction, encoding, and decoding. These codes achieve the
vanishing o... | 1 | 0 | 0 | 0 | 0 | 0 |
Resonant Scattering Characteristics of Homogeneous Dielectric Sphere | In the present article the classical problem of electromagnetic scattering by
a single homogeneous sphere is revisited. Main focus is the study of the
scattering behavior as a function of the material contrast and the size
parameters for all electric and magnetic resonances of a dielectric sphere.
Specifically, the P... | 0 | 1 | 0 | 0 | 0 | 0 |
An efficient global optimization algorithm for maximizing the sum of two generalized Rayleigh quotients | Maximizing the sum of two generalized Rayleigh quotients (SRQ) can be
reformulated as a one-dimensional optimization problem, where the function
value evaluations are reduced to solving semi-definite programming (SDP)
subproblems. In this paper, we first use the dual SDP subproblem to construct
an explicit overestima... | 0 | 0 | 1 | 0 | 0 | 0 |
Location Dependent Dirichlet Processes | Dirichlet processes (DP) are widely applied in Bayesian nonparametric
modeling. However, in their basic form they do not directly integrate
dependency information among data arising from space and time. In this paper,
we propose location dependent Dirichlet processes (LDDP) which incorporate
nonparametric Gaussian pr... | 1 | 0 | 0 | 1 | 0 | 0 |
Poisson brackets symmetry from the pentagon-wheel cocycle in the graph complex | Kontsevich designed a scheme to generate infinitesimal symmetries
$\dot{\mathcal{P}} = \mathcal{Q}(\mathcal{P})$ of Poisson brackets
$\mathcal{P}$ on all affine manifolds $M^r$; every such deformation is encoded
by oriented graphs on $n+2$ vertices and $2n$ edges. In particular, these
symmetries can be obtained by or... | 0 | 0 | 1 | 0 | 0 | 0 |
Shadows of characteristic cycles, Verma modules, and positivity of Chern-Schwartz-MacPherson classes of Schubert cells | Chern-Schwartz-MacPherson (CSM) classes generalize to singular and/or
noncompact varieties the classical total homology Chern class of the tangent
bundle of a smooth compact complex manifold. The theory of CSM classes has been
extended to the equivariant setting by Ohmoto. We prove that for an arbitrary
complex proje... | 0 | 0 | 1 | 0 | 0 | 0 |
An Iterative Scheme for Leverage-based Approximate Aggregation | The current data explosion poses great challenges to the approximate
aggregation with an efficiency and accuracy. To address this problem, we
propose a novel approach to calculate the aggregation answers with a high
accuracy using only a small portion of the data. We introduce leverages to
reflect individual differen... | 1 | 0 | 0 | 0 | 0 | 0 |
A Game of Martingales | We consider a two player dynamic game played over $T \leq \infty$ periods. In
each period each player chooses any probability distribution with support on
$[0,1]$ with a given mean, where the mean is the realized value of the draw
from the previous period. The player with the highest realization in the period
achieve... | 0 | 0 | 0 | 0 | 0 | 1 |
Effects of tunnelling and asymmetry for system-bath models of electron transfer | We apply the newly derived nonadiabatic golden-rule instanton theory to
asymmetric models describing electron-transfer in solution. The models go
beyond the usual spin-boson description and have anharmonic free-energy
surfaces with different values for the reactant and product reorganization
energies. The instanton m... | 0 | 1 | 0 | 0 | 0 | 0 |
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing | If robots are to become ubiquitous, they will need to be able to adapt to
complex and dynamic environments. Robots that can adapt their bodies while
deployed might be flexible and robust enough to meet this challenge. Previous
work on dynamic robot morphology has focused on simulation, combining simple
modules, or sw... | 1 | 0 | 0 | 0 | 0 | 0 |
Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning | Multi-layer neural networks have lead to remarkable performance on many kinds
of benchmark tasks in text, speech and image processing. Nonlinear parameter
estimation in hierarchical models is known to be subject to overfitting. One
approach to this overfitting and related problems (local minima, colinearity,
feature ... | 0 | 0 | 0 | 1 | 0 | 0 |
Kernel Regression with Sparse Metric Learning | Kernel regression is a popular non-parametric fitting technique. It aims at
learning a function which estimates the targets for test inputs as precise as
possible. Generally, the function value for a test input is estimated by a
weighted average of the surrounding training examples. The weights are
typically computed... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning MSO-definable hypotheses on string | We study the classification problems over string data for hypotheses
specified by formulas of monadic second-order logic MSO. The goal is to design
learning algorithms that run in time polynomial in the size of the training
set, independently of or at least sublinear in the size of the whole data set.
We prove negati... | 1 | 0 | 0 | 0 | 0 | 0 |
From semimetal to chiral Fulde-Ferrell superfluids | The recent realization of two-dimensional (2D) synthetic spin-orbit (SO)
coupling opens a broad avenue to study novel topological states for ultracold
atoms. Here, we propose a new scheme to realize exotic chiral Fulde-Ferrell
superfluid for ultracold fermions, with a generic theory being shown that the
topology of s... | 0 | 1 | 0 | 0 | 0 | 0 |
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process | Characterization of lung nodules as benign or malignant is one of the most
important tasks in lung cancer diagnosis, staging and treatment planning. While
the variation in the appearance of the nodules remains large, there is a need
for a fast and robust computer aided system. In this work, we propose an
end-to-end t... | 1 | 0 | 0 | 1 | 0 | 0 |
An apparatus architecture for femtosecond transmission electron microscopy | The motion of electrons in or near solids, liquids and gases can be tracked
by forcing their ejection with attosecond x-ray pulses, derived from
femtosecond lasers. The momentum of these emitted electrons carries the imprint
of the electronic state. Aberration corrected transmission electron microscopes
have observed... | 0 | 1 | 0 | 0 | 0 | 0 |
HourGlass: Predictable Time-based Cache Coherence Protocol for Dual-Critical Multi-Core Systems | We present a hardware mechanism called HourGlass to predictably share data in
a multi-core system where cores are explicitly designated as critical or
non-critical. HourGlass is a time-based cache coherence protocol for
dual-critical multi-core systems that ensures worst-case latency (WCL) bounds
for memory requests ... | 1 | 0 | 0 | 0 | 0 | 0 |
Frictional Effects on RNA Folding: Speed Limit and Kramers Turnover | We investigated frictional effects on the folding rates of a human telomerase
hairpin (hTR HP) and H-type pseudoknot from the Beet Western Yellow Virus (BWYV
PK) using simulations of the Three Interaction Site (TIS) model for RNA. The
heat capacity from TIS model simulations, calculated using temperature replica
exch... | 0 | 0 | 0 | 0 | 1 | 0 |
Learning to Rank based on Analogical Reasoning | Object ranking or "learning to rank" is an important problem in the realm of
preference learning. On the basis of training data in the form of a set of
rankings of objects represented as feature vectors, the goal is to learn a
ranking function that predicts a linear order of any new set of objects. In
this paper, we ... | 1 | 0 | 0 | 1 | 0 | 0 |
Modeling Spatial Overdispersion with the Generalized Waring Process | Modeling spatial overdispersion requires point processes models with finite
dimensional distributions that are overdisperse relative to the Poisson.
Fitting such models usually heavily relies on the properties of stationarity,
ergodicity, and orderliness. And, though processes based on negative binomial
finite dimens... | 0 | 0 | 1 | 1 | 0 | 0 |
Adversarial examples for generative models | We explore methods of producing adversarial examples on deep generative
models such as the variational autoencoder (VAE) and the VAE-GAN. Deep learning
architectures are known to be vulnerable to adversarial examples, but previous
work has focused on the application of adversarial examples to classification
tasks. De... | 0 | 0 | 0 | 1 | 0 | 0 |
Sparse covariance matrix estimation in high-dimensional deconvolution | We study the estimation of the covariance matrix $\Sigma$ of a
$p$-dimensional normal random vector based on $n$ independent observations
corrupted by additive noise. Only a general nonparametric assumption is imposed
on the distribution of the noise without any sparsity constraint on its
covariance matrix. In this h... | 0 | 0 | 1 | 0 | 0 | 0 |
Dynamic controllers for column synchronization of rotation matrices: a QR-factorization approach | In the multi-agent systems setting, this paper addresses continuous-time
distributed synchronization of columns of rotation matrices. More precisely, k
specific columns shall be synchronized and only the corresponding k columns of
the relative rotations between the agents are assumed to be available for the
control d... | 1 | 0 | 1 | 0 | 0 | 0 |
The ELEGANT NMR Spectrometer | Compact and portable in-situ NMR spectrometers which can be dipped in the
liquid to be measured, and are easily maintained, with affordable coil
constructions and electronics, together with an apparatus to recover depleted
magnets are presented, that provide a new real-time processing method for NMR
spectrum acquisit... | 0 | 1 | 0 | 0 | 0 | 0 |
What Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization | Using different methods for laying out a graph can lead to very different
visual appearances, with which the viewer perceives different information.
Selecting a "good" layout method is thus important for visualizing a graph. The
selection can be highly subjective and dependent on the given task. A common
approach to ... | 1 | 0 | 0 | 1 | 0 | 0 |
A sure independence screening procedure for ultra-high dimensional partially linear additive models | We introduce a two-step procedure, in the context of ultra-high dimensional
additive models, which aims to reduce the size of covariates vector and
distinguish linear and nonlinear effects among nonzero components. Our proposed
screening procedure, in the first step, is constructed based on the concept of
cumulative ... | 0 | 0 | 1 | 1 | 0 | 0 |
Unbiased Multi-index Monte Carlo | We introduce a new class of Monte Carlo based approximations of expectations
of random variables such that their laws are only available via certain
discretizations. Sampling from the discretized versions of these laws can
typically introduce a bias. In this paper, we show how to remove that bias, by
introducing a ne... | 0 | 0 | 0 | 1 | 0 | 0 |
Hilbert Transformation and $r\mathrm{Spin}(n)+\mathbb{R}^n$ Group | In this paper we study symmetry properties of the Hilbert transformation of
several real variables in the Clifford algebra setting. In order to describe
the symmetry properties we introduce the group $r\mathrm{Spin}(n)+\mathbb{R}^n,
r>0,$ which is essentially an extension of the ax+b group. The study concludes
that t... | 0 | 0 | 1 | 0 | 0 | 0 |
Asymptotic limit and decay estimates for a class of dissipative linear hyperbolic systems in several dimensions | In this paper, we study the large-time behavior of solutions to a class of
partially dissipative linear hyperbolic systems with applications in
velocity-jump processes in several dimensions. Given integers $n,d\ge 1$, let
$\mathbf A:=(A^1,\dots,A^d)\in (\mathbb R^{n\times n})^d$ be a matrix-vector,
where $A^j\in\math... | 0 | 0 | 1 | 0 | 0 | 0 |
(G, μ)-displays and Rapoport-Zink spaces | Let (G, \mu) be a pair of a reductive group G over the p-adic integers and a
minuscule cocharacter {\mu} of G defined over an unramified extension. We
introduce and study "(G, \mu)-displays" which generalize Zink's Witt vector
displays. We use these to define certain Rapoport-Zink formal schemes purely
group theoreti... | 0 | 0 | 1 | 0 | 0 | 0 |
Selecting Representative Examples for Program Synthesis | Program synthesis is a class of regression problems where one seeks a
solution, in the form of a source-code program, mapping the inputs to their
corresponding outputs exactly. Due to its precise and combinatorial nature,
program synthesis is commonly formulated as a constraint satisfaction problem,
where input-outpu... | 1 | 0 | 0 | 0 | 0 | 0 |
Semistable rank 2 sheaves with singularities of mixed dimension on $\mathbb{P}^3$ | We describe new irreducible components of the Gieseker-Maruyama moduli scheme
$\mathcal{M}(3)$ of semistable rank 2 coherent sheaves with Chern classes
$c_1=0,\ c_2=3,\ c_3=0$ on $\mathbb{P}^3$, general points of which correspond
to sheaves whose singular loci contain components of dimensions both 0 and 1.
These shea... | 0 | 0 | 1 | 0 | 0 | 0 |
From jamming to collective cell migration through a boundary induced transition | Cell monolayers provide an interesting example of active matter, exhibiting a
phase transition from a flowing to jammed state as they age. Here we report
experiments and numerical simulations illustrating how a jammed cellular layer
rapidly reverts to a flowing state after a wound. Quantitative comparison
between exp... | 0 | 0 | 0 | 0 | 1 | 0 |
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection | Long Short-Term Memory networks trained with gradient descent and
back-propagation have received great success in various applications. However,
point estimation of the weights of the networks is prone to over-fitting
problems and lacks important uncertainty information associated with the
estimation. However, exact ... | 1 | 0 | 0 | 1 | 0 | 0 |
Estimates of covering type and the number of vertices of minimal triangulations | The covering type of a space $X$ is defined as the minimal cardinality of a
good cover of a space that is homotopy equivalent to $X$. We derive estimates
for the covering type of $X$ in terms of other invariants of $X$, namely the
ranks of the homology groups, the multiplicative structure of the cohomology
ring and t... | 0 | 0 | 1 | 0 | 0 | 0 |
Principal Floquet subspaces and exponential separations of type II with applications to random delay differential equations | This paper deals with the study of principal Lyapunov exponents, principal
Floquet subspaces, and exponential separation for positive random linear
dynamical systems in ordered Banach spaces. The main contribution lies in the
introduction of a new type of exponential separation, called of type II,
important for its a... | 0 | 0 | 1 | 0 | 0 | 0 |
DNA insertion mutations can be predicted by a periodic probability function | It is generally difficult to predict the positions of mutations in genomic
DNA at the nucleotide level. Retroviral DNA insertion is one mode of mutation,
resulting in host infections that are difficult to treat. This mutation process
involves the integration of retroviral DNA into the host-infected cellular
genomic D... | 0 | 1 | 0 | 0 | 0 | 0 |
Machine Learning Molecular Dynamics for the Simulation of Infrared Spectra | Machine learning has emerged as an invaluable tool in many research areas. In
the present work, we harness this power to predict highly accurate molecular
infrared spectra with unprecedented computational efficiency. To account for
vibrational anharmonic and dynamical effects -- typically neglected by
conventional qu... | 0 | 1 | 0 | 1 | 0 | 0 |
Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries | In this article, we develop methods for estimating a low rank tensor from
noisy observations on a subset of its entries to achieve both statistical and
computational efficiencies. There have been a lot of recent interests in this
problem of noisy tensor completion. Much of the attention has been focused on
the fundam... | 0 | 0 | 1 | 1 | 0 | 0 |
The cohomology of the full directed graph complex | In his seminal paper "Formality conjecture", M. Kontsevich introduced a graph
complex $GC_{1ve}$ closely connected with the problem of constructing a
formality quasi-isomorphism for Hochschild cochains. In this paper, we express
the cohomology of the full directed graph complex explicitly in terms of the
cohomology o... | 0 | 0 | 1 | 0 | 0 | 0 |
Model equations and structures formation for the media with memory | We propose new types of models of the appearance of small- and large scale
structures in media with memory, including a hyperbolic modification of the
Navier-Stokes equations and a class of dynamical low-dimensional models with
memory effects. On the basis of computer modeling, the formation of the
small-scale struct... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Support Recovery of Jointly Sparse Gaussian Sources using Sparse Bayesian Learning | In this work, we provide non-asymptotic, probabilistic guarantees for
successful sparse support recovery by the multiple sparse Bayesian learning
(M-SBL) algorithm in the multiple measurement vector (MMV) framework. For joint
sparse Gaussian sources, we show that M-SBL perfectly recovers their common
nonzero support ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Critical-like Collective State Leads to Long-range Cell Communication in Dictyostelium discoideum Aggregation | The transition from single-cell to multicellular behavior is important in
early development but rarely studied. The starvation-induced aggregation of the
social amoeba Dictyostelium discoideum into a multicellular slug is known to
result from single-cell chemotaxis towards emitted pulses of cyclic adenosine
monophosp... | 0 | 0 | 0 | 0 | 1 | 0 |
Twistor theory at fifty: from contour integrals to twistor strings | We review aspects of twistor theory, its aims and achievements spanning
thelast five decades. In the twistor approach, space--time is secondary with
events being derived objects that correspond to compact holomorphic curves in a
complex three--fold -- the twistor space. After giving an elementary
construction of this... | 0 | 1 | 1 | 0 | 0 | 0 |
Strong convergence rates of probabilistic integrators for ordinary differential equations | Probabilistic integration of a continuous dynamical system is a way of
systematically introducing model error, at scales no larger than errors
introduced by standard numerical discretisation, in order to enable thorough
exploration of possible responses of the system to inputs. It is thus a
potentially useful approac... | 0 | 0 | 1 | 1 | 0 | 0 |
The G-centre and gradable derived equivalences | We propose a generalisation for the notion of the centre of an algebra in the
setup of algebras graded by an arbitrary abelian group G.
Our generalisation, which we call the G-centre, is designed to control the
endomorphism category of the grading shift functors. We show that the G-centre
is preserved by gradable der... | 0 | 0 | 1 | 0 | 0 | 0 |
RFCDE: Random Forests for Conditional Density Estimation | Random forests is a common non-parametric regression technique which performs
well for mixed-type data and irrelevant covariates, while being robust to
monotonic variable transformations. Existing random forest implementations
target regression or classification. We introduce the RFCDE package for fitting
random fore... | 0 | 0 | 0 | 1 | 0 | 0 |
The symplectic approach of gauged linear $σ$-model | Witten's Gauged Linear $\sigma$-Model (GLSM) unifies the Gromov-Witten theory
and the Landau-Ginzburg theory, and provides a global perspective on mirror
symmetry. In this article, we summarize a mathematically rigorous construction
of the GLSM in the geometric phase using methods from symplectic geometry.
| 0 | 0 | 1 | 0 | 0 | 0 |
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