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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Spitzer Secondary Eclipses of Qatar-1b | Previous secondary eclipse observations of the hot Jupiter Qatar-1b in the Ks
band suggest that it may have an unusually high day side temperature,
indicative of minimal heat redistribution. There have also been indications
that the orbit may be slightly eccentric, possibly forced by another planet in
the system. We ... | 0 | 1 | 0 | 0 | 0 | 0 |
Dielectric response of Anderson and pseudogapped insulators | Using a combination of analytic and numerical methods, we study the
polarizability of a (non-interacting) Anderson insulator in one, two, and three
dimensions and demonstrate that, in a wide range of parameters, it scales
proportionally to the square of the localization length, contrary to earlier
claims based on the... | 0 | 1 | 0 | 0 | 0 | 0 |
Epidemiological modeling of the 2005 French riots: a spreading wave and the role of contagion | As a large-scale instance of dramatic collective behaviour, the 2005 French
riots started in a poor suburb of Paris, then spread in all of France, lasting
about three weeks. Remarkably, although there were no displacements of rioters,
the riot activity did travel. Access to daily national police data has allowed
us t... | 1 | 1 | 0 | 0 | 0 | 0 |
Option Pricing in Illiquid Markets with Jumps | The classical linear Black--Scholes model for pricing derivative securities
is a popular model in financial industry. It relies on several restrictive
assumptions such as completeness, and frictionless of the market as well as the
assumption on the underlying asset price dynamics following a geometric
Brownian motion... | 0 | 0 | 0 | 0 | 0 | 1 |
A Knowledge-Based Analysis of the Blockchain Protocol | At the heart of the Bitcoin is a blockchain protocol, a protocol for
achieving consensus on a public ledger that records bitcoin transactions. To
the extent that a blockchain protocol is used for applications such as contract
signing and making certain transactions (such as house sales) public, we need
to understand ... | 1 | 0 | 0 | 0 | 0 | 0 |
Convergence Analysis of Optimization Algorithms | The regret bound of an optimization algorithms is one of the basic criteria
for evaluating the performance of the given algorithm. By inspecting the
differences between the regret bounds of traditional algorithms and adaptive
one, we provide a guide for choosing an optimizer with respect to the given
data set and the... | 1 | 0 | 1 | 1 | 0 | 0 |
On the combinatorics of the 2-class classification problem | A set of points $X = X_B \cup X_R \subseteq \mathbb{R}^d$ is linearly
separable if the convex hulls of $X_B$ and $X_R$ are disjoint, hence there
exists a hyperplane separating $X_B$ from $X_R$. Such a hyperplane provides a
method for classifying new points, according to which side of the hyperplane
the new points lie... | 1 | 0 | 0 | 0 | 0 | 0 |
Laboratory evidence of dynamo amplification of magnetic fields in a turbulent plasma | Magnetic fields are ubiquitous in the Universe. Extragalactic disks, halos
and clusters have consistently been shown, via diffuse radio-synchrotron
emission and Faraday rotation measurements, to exhibit magnetic field strengths
ranging from a few nG to tens of $\mu$G. The energy density of these fields is
typically c... | 0 | 1 | 0 | 0 | 0 | 0 |
Radiating Electron Interaction with Multiple Colliding Electromagnetic Waves: Random Walk Trajectories, Levy Flights, Limit Circles, and Attractors (Survey of the Structurally Determinate Patterns) | The multiple colliding laser pulse concept formulated in Ref. [1] is
beneficial for achieving an extremely high amplitude of coherent
electromagnetic field. Since the topology of electric and magnetic fields
oscillating in time of multiple colliding laser pulses is far from trivial and
the radiation friction effects ... | 0 | 1 | 0 | 0 | 0 | 0 |
Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks | In this work, we jointly address the problem of text detection and
recognition in natural scene images based on convolutional recurrent neural
networks. We propose a unified network that simultaneously localizes and
recognizes text with a single forward pass, avoiding intermediate processes
like image cropping and fe... | 1 | 0 | 0 | 0 | 0 | 0 |
Evidence for OH or H2O on the surface of 433 Eros and 1036 Ganymed | Water and hydroxyl, once thought to be found only in the primitive airless
bodies that formed beyond roughly 2.5-3 AU, have recently been detected on the
Moon and Vesta, which both have surfaces dominated by evolved, non-primitive
compositions. In both these cases, the water/OH is thought to be exogenic,
either broug... | 0 | 1 | 0 | 0 | 0 | 0 |
Jump Locations of Jump-Diffusion Processes with State-Dependent Rates | We propose a general framework for studying jump-diffusion systems driven by
both Gaussian noise and a jump process with state-dependent intensity. Of
particular natural interest are the jump locations: the system evaluated at the
jump times. However, the state-dependence of the jump rate provides direct
coupling bet... | 0 | 1 | 1 | 0 | 0 | 0 |
Dust evolution with active galactic nucleus feedback in elliptical galaxies | We have recently suggested that dust growth in the cold gas phase dominates
the dust abundance in elliptical galaxies while dust is efficiently destroyed
in the hot X-ray emitting plasma (hot gas). In order to understand the dust
evolution in elliptical galaxies, we construct a simple model that includes
dust growth ... | 0 | 1 | 0 | 0 | 0 | 0 |
Generative-Discriminative Variational Model for Visual Recognition | The paradigm shift from shallow classifiers with hand-crafted features to
end-to-end trainable deep learning models has shown significant improvements on
supervised learning tasks. Despite the promising power of deep neural networks
(DNN), how to alleviate overfitting during training has been a research topic
of inte... | 1 | 0 | 0 | 0 | 0 | 0 |
PCA-Initialized Deep Neural Networks Applied To Document Image Analysis | In this paper, we present a novel approach for initializing deep neural
networks, i.e., by turning PCA into neural layers. Usually, the initialization
of the weights of a deep neural network is done in one of the three following
ways: 1) with random values, 2) layer-wise, usually as Deep Belief Network or
as auto-enc... | 1 | 0 | 0 | 1 | 0 | 0 |
On a frame theoretic measure of quality of LTI systems | It is of practical significance to define the notion of a measure of quality
of a control system, i.e., a quantitative extension of the classical notion of
controllability. In this article we demonstrate that the three standard
measures of quality involving the trace, minimum eigenvalue, and the
determinant of the co... | 1 | 0 | 1 | 0 | 0 | 0 |
Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing | A task of clustering data given in the ordinal scale under conditions of
overlapping clusters has been considered. It's proposed to use an approach
based on memberhsip and likelihood functions sharing. A number of performed
experiments proved effectiveness of the proposed method. The proposed method is
characterized ... | 1 | 0 | 0 | 0 | 0 | 0 |
The ALICE O2 common driver for the C-RORC and CRU read-out cards | ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to
study the strongly interacting state of matter realized in relativistic
heavy-ion collisions at the CERN Large Hadron Collider (LHC). A major upgrade
of the experiment is planned during the 2019-2020 long shutdown. In order to
cope with a d... | 1 | 1 | 0 | 0 | 0 | 0 |
Adapting control policies from simulation to reality using a pairwise loss | This paper proposes an approach to domain transfer based on a pairwise loss
function that helps transfer control policies learned in simulation onto a real
robot. We explore the idea in the context of a 'category level' manipulation
task where a control policy is learned that enables a robot to perform a mating
task ... | 1 | 0 | 0 | 0 | 0 | 0 |
Evidence against a supervoid causing the CMB Cold Spot | We report the results of the 2dF-VST ATLAS Cold Spot galaxy redshift survey
(2CSz) based on imaging from VST ATLAS and spectroscopy from 2dF AAOmega over
the core of the CMB Cold Spot. We sparsely surveyed the inner 5$^{\circ}$
radius of the Cold Spot to a limit of $i_{AB} \le 19.2$, sampling $\sim7000$
galaxies at $... | 0 | 1 | 0 | 0 | 0 | 0 |
How to Produce an Arbitrarily Small Tensor to Scalar Ratio | We construct a toy a model which demonstrates that large field single scalar
inflation can produce an arbitrarily small scalar to tensor ratio in the window
of e-foldings recoverable from CMB experiments. This is done by generalizing
the $\alpha$-attractor models to allow the potential to approach a constant as
rapid... | 0 | 1 | 0 | 0 | 0 | 0 |
Meta Learning Shared Hierarchies | We develop a metalearning approach for learning hierarchically structured
policies, improving sample efficiency on unseen tasks through the use of shared
primitives---policies that are executed for large numbers of timesteps.
Specifically, a set of primitives are shared within a distribution of tasks,
and are switche... | 1 | 0 | 0 | 0 | 0 | 0 |
The bright-star masks for the HSC-SSP survey | We present the procedure to build and validate the bright-star masks for the
Hyper-Suprime-Cam Strategic Subaru Proposal (HSC-SSP) survey. To identify and
mask the saturated stars in the full HSC-SSP footprint, we rely on the Gaia and
Tycho-2 star catalogues. We first assemble a pure star catalogue down to
$G_{\rm Ga... | 0 | 1 | 0 | 0 | 0 | 0 |
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step | Generative adversarial networks (GANs) are a family of generative models that
do not minimize a single training criterion. Unlike other generative models,
the data distribution is learned via a game between a generator (the generative
model) and a discriminator (a teacher providing training signal) that each
minimize... | 1 | 0 | 0 | 1 | 0 | 0 |
The Tensor Memory Hypothesis | We discuss memory models which are based on tensor decompositions using
latent representations of entities and events. We show how episodic memory and
semantic memory can be realized and discuss how new memory traces can be
generated from sensory input: Existing memories are the basis for perception
and new memories ... | 1 | 0 | 0 | 1 | 0 | 0 |
Data-driven Approach to Measuring the Level of Press Freedom Using Media Attention Diversity from Unfiltered News | Published by Reporters Without Borders every year, the Press Freedom Index
(PFI) reflects the fear and tension in the newsroom pushed by the government
and private sectors. While the PFI is invaluable in monitoring media
environments worldwide, the current survey-based method has inherent
limitations to updates in te... | 1 | 0 | 0 | 0 | 0 | 0 |
Advanced Satellite-based Frequency Transfer at the 10^{-16} Level | Advanced satellite-based frequency transfers by TWCP and IPPP have been
performed between NICT and KRISS. We confirm that the disagreement between them
is less than 1x10^{-16} at an averaging time of several days. Additionally, an
intercontinental frequency ratio measurement of Sr and Yb optical lattice
clocks was di... | 0 | 1 | 0 | 0 | 0 | 0 |
Are there needles in a moving haystack? Adaptive sensing for detection of dynamically evolving signals | In this paper we investigate the problem of detecting dynamically evolving
signals. We model the signal as an $n$ dimensional vector that is either zero
or has $s$ non-zero components. At each time step $t\in \mathbb{N}$ the
non-zero components change their location independently with probability $p$.
The statistical... | 0 | 0 | 1 | 1 | 0 | 0 |
Image-based Localization using Hourglass Networks | In this paper, we propose an encoder-decoder convolutional neural network
(CNN) architecture for estimating camera pose (orientation and location) from a
single RGB-image. The architecture has a hourglass shape consisting of a chain
of convolution and up-convolution layers followed by a regression part. The
up-convol... | 1 | 0 | 0 | 0 | 0 | 0 |
Suppression of Decoherence of a Spin-Boson System by Time-Periodic Control | We consider a finite-dimensional quantum system coupled to the bosonic
radiation field and subject to a time-periodic control operator. Assuming the
validity of a certain dynamic decoupling condition we approximate the system's
time evolution with respect to the non-interacting dynamics. For sufficiently
small coupli... | 0 | 0 | 1 | 0 | 0 | 0 |
Energy saving for building heating via a simple and efficient model-free control design: First steps with computer simulations | The model-based control of building heating systems for energy saving
encounters severe physical, mathematical and calibration difficulties in the
numerous attempts that has been published until now. This topic is addressed
here via a new model-free control setting, where the need of any mathematical
description disa... | 1 | 0 | 0 | 0 | 0 | 0 |
Trace Properties from Separation Logic Specifications | We propose a formal approach for relating abstract separation logic library
specifications with the trace properties they enforce on interactions between a
client and a library. Separation logic with abstract predicates enforces a
resource discipline that constrains when and how calls may be made between a
client and... | 1 | 0 | 0 | 0 | 0 | 0 |
Estimation of Local Degree Distributions via Local Weighted Averaging and Monte Carlo Cross-Validation | Owing to their capability of summarising interactions between elements of a
system, networks have become a common type of data in many fields. As networks
can be inhomogeneous, in that different regions of the network may exhibit
different topologies, an important topic concerns their local properties. This
paper foc... | 0 | 0 | 0 | 1 | 0 | 0 |
The ALMA Phasing System: A Beamforming Capability for Ultra-High-Resolution Science at (Sub)Millimeter Wavelengths | The Atacama Millimeter/submillimeter Array (ALMA) Phasing Project (APP) has
developed and deployed the hardware and software necessary to coherently sum
the signals of individual ALMA antennas and record the aggregate sum in Very
Long Baseline Interferometry (VLBI) Data Exchange Format. These beamforming
capabilities... | 0 | 1 | 0 | 0 | 0 | 0 |
Signatures of two-step impurity mediated vortex lattice melting in Bose-Einstein Condensates | We simulate a rotating 2D BEC to study the melting of a vortex lattice in
presence of random impurities. Impurities are introduced either through a
protocol in which vortex lattice is produced in an impurity potential or first
creating the vortex lattice in the absence of random pinning and then cranking
up the (co-r... | 0 | 1 | 0 | 0 | 0 | 0 |
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography | In coronary CT angiography, a series of CT images are taken at different
levels of radiation dose during the examination. Although this reduces the
total radiation dose, the image quality during the low-dose phases is
significantly degraded. To address this problem, here we propose a novel
semi-supervised learning te... | 0 | 0 | 0 | 1 | 0 | 0 |
The multidimensional truncated Moment Problem: Carathéodory Numbers | Let $\mathcal{A}$ be a finite-dimensional subspace of
$C(\mathcal{X};\mathbb{R})$, where $\mathcal{X}$ is a locally compact Hausdorff
space, and $\mathsf{A}=\{f_1,\dots,f_m\}$ a basis of $\mathcal{A}$. A sequence
$s=(s_j)_{j=1}^m$ is called a moment sequence if $s_j=\int f_j(x) \, d\mu(x)$,
$j=1,\dots,m$, for some po... | 0 | 0 | 1 | 0 | 0 | 0 |
Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation | The World Wide Web (WWW) has fundamentally changed the ways billions of
people are able to access information. Thus, understanding how people seek
information online is an important issue of study. Wikipedia is a hugely
important part of information provision on the web, with hundreds of millions
of users browsing an... | 1 | 0 | 0 | 0 | 0 | 0 |
Multiphase Aluminum A356 Foam Formation Process Simulation Using Lattice Boltzmann Method | Shan-Chen model is a numerical scheme to simulate multiphase fluid flows
using Lattice Boltzmann approach. The original Shan-Chen model suffers from
inability to accurately predict behavior of air bubbles interacting in a
non-aqueous fluid. In the present study, we extended the Shan-Chen model to
take the effect of t... | 1 | 1 | 0 | 0 | 0 | 0 |
Deformations of coisotropic submanifolds in Jacobi manifolds | In this thesis, we study the deformation problem of coisotropic submanifolds
in Jacobi manifolds. In particular we attach two algebraic invariants to any
coisotropic submanifold $S$ in a Jacobi manifold, namely the
$L_\infty[1]$-algebra and the BFV-complex of $S$. Our construction generalizes
and unifies analogous co... | 0 | 0 | 1 | 0 | 0 | 0 |
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets | The complexity of a learning task is increased by transformations in the
input space that preserve class identity. Visual object recognition for example
is affected by changes in viewpoint, scale, illumination or planar
transformations. While drastically altering the visual appearance, these
changes are orthogonal to... | 1 | 0 | 0 | 1 | 0 | 0 |
Covering compact metric spaces greedily | A general greedy approach to construct coverings of compact metric spaces by
metric balls is given and analyzed. The analysis is a continuous version of
Chvatal's analysis of the greedy algorithm for the weighted set cover problem.
The approach is demonstrated in an exemplary manner to construct efficient
coverings o... | 0 | 0 | 1 | 0 | 0 | 0 |
Gauge covariances and nonlinear optical responses | The formalism of the reduced density matrix is pursued in both length and
velocity gauges of the perturbation to the crystal Hamiltonian. The covariant
derivative is introduced as a convenient representation of the position
operator. This allow us to write compact expressions for the reduced density
matrix in any ord... | 0 | 1 | 0 | 0 | 0 | 0 |
Quasi-Static Internal Magnetic Field Detected in the Pseudogap Phase of Bi$_{2+x}$Sr$_{2-x}$CaCu$_2$O$_{8+δ}$ by $μ$SR | We report muon spin relaxation ($\mu$SR) measurements of optimally-doped and
overdoped Bi$_{2+x}$Sr$_{2-x}$CaCu$_2$O$_{8+\delta}$ (Bi2212) single crystals
that reveal the presence of a weak temperature-dependent quasi-static internal
magnetic field of electronic origin in the superconducting (SC) and pseudogap
(PG) p... | 0 | 1 | 0 | 0 | 0 | 0 |
Auto-Encoding Total Correlation Explanation | Advances in unsupervised learning enable reconstruction and generation of
samples from complex distributions, but this success is marred by the
inscrutability of the representations learned. We propose an
information-theoretic approach to characterizing disentanglement and dependence
in representation learning using ... | 0 | 0 | 0 | 1 | 0 | 0 |
A Characterisation of Open Bisimilarity using an Intuitionistic Modal Logic | Open bisimilarity is the original notion of bisimilarity to be introduced for
the pi-calculus that is a congruence. In open bisimilarity, free names in
processes are treated as variables that may be instantiated lazily; in contrast
to early and late bisimilarity where free names are constants. We build on the
establi... | 1 | 0 | 0 | 0 | 0 | 0 |
Using data science as a community advocacy tool to promote equity in urban renewal programs: An analysis of Atlanta's Anti-Displacement Tax Fund | Cities across the United States are undergoing great transformation and urban
growth. Data and data analysis has become an essential element of urban
planning as cities use data to plan land use and development. One great
challenge is to use the tools of data science to promote equity along with
growth. The city of A... | 1 | 0 | 0 | 0 | 0 | 0 |
General Bayesian inference schemes in infinite mixture models | Bayesian statistical models allow us to formalise our knowledge about the
world and reason about our uncertainty, but there is a need for better
procedures to accurately encode its complexity. One way to do so is through
compositional models, which are formed by combining blocks consisting of
simpler models. One can ... | 0 | 0 | 0 | 1 | 0 | 0 |
Glow: Generative Flow with Invertible 1x1 Convolutions | Flow-based generative models (Dinh et al., 2014) are conceptually attractive
due to tractability of the exact log-likelihood, tractability of exact
latent-variable inference, and parallelizability of both training and
synthesis. In this paper we propose Glow, a simple type of generative flow
using an invertible 1x1 c... | 0 | 0 | 0 | 1 | 0 | 0 |
Pohozaev identity for the fractional $p-$Laplacian on $\mathbb{R}^N$ | By virtue of a suitable approximation argument, we prove a Pohozaev identity
for nonlinear nonlocal problems on $\mathbb{R}^N$ involving the fractional
$p-$Laplacian operator. Furthermore we provide an application of the identity
to show that some relevant levels of the energy functional associated with the
problem c... | 0 | 0 | 1 | 0 | 0 | 0 |
A Second Wave of Expanders over Finite Fields | This is an expository survey on recent sum-product results in finite fields.
We present a number of sum-product or "expander" results that say that if
$|A| > p^{2/3}$ then some set determined by sums and product of elements of $A$
is nearly as large as possible, and if $|A|<p^{2/3}$ then the set in question
is signif... | 0 | 0 | 1 | 0 | 0 | 0 |
Homology of torus knots | Using the method of Elias-Hogancamp and combinatorics of toric braids we give
an explicit formula for the triply graded Khovanov-Rozansky homology of an
arbitrary torus knot, thereby proving some of the conjectures of
Aganagic-Shakirov, Cherednik, Gorsky-Negut and Oblomkov-Rasmussen-Shende.
| 0 | 0 | 1 | 0 | 0 | 0 |
2-associahedra | For any $r\geq 1$ and $\mathbf{n} \in \mathbb{Z}_{\geq0}^r \setminus
\{\mathbf0\}$ we construct a poset $W_{\mathbf{n}}$ called a 2-associahedron.
The 2-associahedra arose in symplectic geometry, where they are expected to
control maps between Fukaya categories of different symplectic manifolds. We
prove that the com... | 0 | 0 | 1 | 0 | 0 | 0 |
Anisotropic thermophoresis | Colloidal migration in temperature gradient is referred to as thermophoresis.
In contrast to particles with spherical shape, we show that elongated colloids
may have a thermophoretic response that varies with the colloid orientation.
Remarkably, this can translate into a non-vanishing thermophoretic force in the
dire... | 0 | 1 | 0 | 0 | 0 | 0 |
Ultra-Wideband Aided Fast Localization and Mapping System | This paper proposes an ultra-wideband (UWB) aided localization and mapping
system that leverages on inertial sensor and depth camera. Inspired by the fact
that visual odometry (VO) system, regardless of its accuracy in the short term,
still faces challenges with accumulated errors in the long run or under
unfavourabl... | 1 | 0 | 0 | 0 | 0 | 0 |
Modular Sensor Fusion for Semantic Segmentation | Sensor fusion is a fundamental process in robotic systems as it extends the
perceptual range and increases robustness in real-world operations. Current
multi-sensor deep learning based semantic segmentation approaches do not
provide robustness to under-performing classes in one modality, or require a
specific archite... | 1 | 0 | 0 | 0 | 0 | 0 |
Thickness-dependent electronic and magnetic properties of $γ'$-Fe$_{\mathrm 4}$N atomic layers on Cu(001) | Growth, electronic and magnetic properties of $\gamma'$-Fe$_{4}$N atomic
layers on Cu(001) are studied by scanning tunneling microscopy/spectroscopy and
x-ray absorption spectroscopy/magnetic circular dichroism. A continuous film of
ordered trilayer $\gamma'$-Fe$_{4}$N is obtained by Fe deposition under N$_{2}$
atmos... | 0 | 1 | 0 | 0 | 0 | 0 |
Error Characterization, Mitigation, and Recovery in Flash Memory Based Solid-State Drives | NAND flash memory is ubiquitous in everyday life today because its capacity
has continuously increased and cost has continuously decreased over decades.
This positive growth is a result of two key trends: (1) effective process
technology scaling, and (2) multi-level (e.g., MLC, TLC) cell data coding.
Unfortunately, t... | 1 | 0 | 0 | 0 | 0 | 0 |
Unified Backpropagation for Multi-Objective Deep Learning | A common practice in most of deep convolutional neural architectures is to
employ fully-connected layers followed by Softmax activation to minimize
cross-entropy loss for the sake of classification. Recent studies show that
substitution or addition of the Softmax objective to the cost functions of
support vector mach... | 1 | 0 | 0 | 1 | 0 | 0 |
Information-Theoretic Representation Learning for Positive-Unlabeled Classification | Recent advances in weakly supervised classification allow us to train a
classifier only from positive and unlabeled (PU) data. However, existing PU
classification methods typically require an accurate estimate of the
class-prior probability, which is a critical bottleneck particularly for
high-dimensional data. This ... | 1 | 0 | 0 | 1 | 0 | 0 |
Aspects of Chaitin's Omega | The halting probability of a Turing machine,also known as Chaitin's Omega, is
an algorithmically random number with many interesting properties. Since
Chaitin's seminal work, many popular expositions have appeared, mainly focusing
on the metamathematical or philosophical significance of Omega (or debating
against it)... | 1 | 0 | 1 | 0 | 0 | 0 |
This Looks Like That: Deep Learning for Interpretable Image Recognition | When we are faced with challenging image classification tasks, we often
explain our reasoning by dissecting the image, and pointing out prototypical
aspects of one class or another. The mounting evidence for each of the classes
helps us make our final decision. In this work, we introduce a deep network
architecture t... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep Learning in the Automotive Industry: Applications and Tools | Deep Learning refers to a set of machine learning techniques that utilize
neural networks with many hidden layers for tasks, such as image
classification, speech recognition, language understanding. Deep learning has
been proven to be very effective in these domains and is pervasively used by
many Internet services. ... | 1 | 0 | 0 | 0 | 0 | 0 |
Design, Engineering and Optimization of a Grid-Tie Multicell Inverter for Energy Storage Applications | Multilevel converters have found many applications within renewable energy
systems thanks to their unique capability of generating multiple voltage
levels. However, these converters need multiple DC sources and the voltage
balancing over capacitors for these systems is cumbersome. In this work, a new
grid-tie multice... | 0 | 1 | 0 | 0 | 0 | 0 |
An infinitely differentiable function with compact support: Definition and properties | This is the English translation of my old paper 'Definición y estudio de
una función indefinidamente diferenciable de soporte compacto', Rev. Real
Acad. Ciencias 76 (1982) 21-38. In it a function (essentially Fabius function)
is defined and given its main properties, including: unicity, interpretation as
a probabilit... | 0 | 0 | 1 | 0 | 0 | 0 |
Analysis of bacterial population growth using extended logistic growth model with distributed delay | In the present work, we develop a delayed Logistic growth model to study the
effects of decontamination on the bacterial population in the ambient
environment. Using the linear stability analysis, we study different case
scenarios, where bacterial population may establish at the positive equilibrium
or go extinct due... | 0 | 0 | 0 | 0 | 1 | 0 |
Reverse Quantum Annealing Approach to Portfolio Optimization Problems | We investigate a hybrid quantum-classical solution method to the
mean-variance portfolio optimization problems. Starting from real financial
data statistics and following the principles of the Modern Portfolio Theory, we
generate parametrized samples of portfolio optimization problems that can be
related to quadratic... | 0 | 0 | 0 | 0 | 0 | 1 |
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations | Modern deep transfer learning approaches have mainly focused on learning
generic feature vectors from one task that are transferable to other tasks,
such as word embeddings in language and pretrained convolutional features in
vision. However, these approaches usually transfer unary features and largely
ignore more st... | 0 | 0 | 0 | 1 | 0 | 0 |
Learning to cluster in order to transfer across domains and tasks | This paper introduces a novel method to perform transfer learning across
domains and tasks, formulating it as a problem of learning to cluster. The key
insight is that, in addition to features, we can transfer similarity
information and this is sufficient to learn a similarity function and
clustering network to perfo... | 1 | 0 | 0 | 0 | 0 | 0 |
Modeling Perceptual Aliasing in SLAM via Discrete-Continuous Graphical Models | Perceptual aliasing is one of the main causes of failure for Simultaneous
Localization and Mapping (SLAM) systems operating in the wild. Perceptual
aliasing is the phenomenon where different places generate a similar visual
(or, in general, perceptual) footprint. This causes spurious measurements to be
fed to the SLA... | 1 | 0 | 0 | 0 | 0 | 0 |
Sparse distributed representation, hierarchy, critical periods, metaplasticity: the keys to lifelong fixed-time learning and best-match retrieval | Among the more important hallmarks of human intelligence, which any
artificial general intelligence (AGI) should have, are the following. 1. It
must be capable of on-line learning, including with single/few trials. 2.
Memories/knowledge must be permanent over lifelong durations, safe from
catastrophic forgetting. Som... | 0 | 0 | 0 | 0 | 1 | 0 |
Efficient implementations of the modified Gram-Schmidt orthogonalization with a non-standard inner product | The modified Gram-Schmidt (MGS) orthogonalization is one of the most
well-used algorithms for computing the thin QR factorization. MGS can be
straightforwardly extended to a non-standard inner product with respect to a
symmetric positive definite matrix $A$. For the thin QR factorization of an $m
\times n$ matrix wit... | 0 | 0 | 1 | 0 | 0 | 0 |
On the isoperimetric constant, covariance inequalities and $L_p$-Poincaré inequalities in dimension one | Firstly, we derive in dimension one a new covariance inequality of
$L_{1}-L_{\infty}$ type that characterizes the isoperimetric constant as the
best constant achieving the inequality. Secondly, we generalize our result to
$L_{p}-L_{q}$ bounds for the covariance. Consequently, we recover Cheeger's
inequality without u... | 0 | 0 | 1 | 1 | 0 | 0 |
Faster arbitrary-precision dot product and matrix multiplication | We present algorithms for real and complex dot product and matrix
multiplication in arbitrary-precision floating-point and ball arithmetic. A
low-overhead dot product is implemented on the level of GMP limb arrays; it is
about twice as fast as previous code in MPFR and Arb at precision up to several
hundred bits. Up ... | 1 | 0 | 0 | 0 | 0 | 0 |
Improving Distributed Representations of Tweets - Present and Future | Unsupervised representation learning for tweets is an important research
field which helps in solving several business applications such as sentiment
analysis, hashtag prediction, paraphrase detection and microblog ranking. A
good tweet representation learning model must handle the idiosyncratic nature
of tweets whic... | 1 | 0 | 0 | 0 | 0 | 0 |
Tverberg-type theorems for matroids: A counterexample and a proof | Bárány, Kalai, and Meshulam recently obtained a topological Tverberg-type
theorem for matroids, which guarantees multiple coincidences for continuous
maps from a matroid complex to d-dimensional Euclidean space, if the matroid
has sufficiently many disjoint bases. They make a conjecture on the
connectivity of k-fold ... | 0 | 0 | 1 | 0 | 0 | 0 |
Near-Perfect Conversion of a Propagating Plane Wave into a Surface Wave Using Metasurfaces | In this paper, theoretical and numerical studies of perfect/nearly-perfect
conversion of a plane wave into a surface wave are presented. The problem of
determining the electromagnetic properties of an inhomogeneous lossless
boundary which would fully transform an incident plane wave into a surface wave
propagating al... | 0 | 1 | 0 | 0 | 0 | 0 |
A National Research Agenda for Intelligent Infrastructure | Our infrastructure touches the day-to-day life of each of our fellow
citizens, and its capabilities, integrity and sustainability are crucial to the
overall competitiveness and prosperity of our country. Unfortunately, the
current state of U.S. infrastructure is not good: the American Society of Civil
Engineers' late... | 1 | 0 | 0 | 0 | 0 | 0 |
Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations | Surveying 3D scenes is a common task in robotics. Systems can do so
autonomously by iteratively obtaining measurements. This process of planning
observations to improve the model of a scene is called Next Best View (NBV)
planning.
NBV planning approaches often use either volumetric (e.g., voxel grids) or
surface (e.g... | 1 | 0 | 0 | 0 | 0 | 0 |
N/O abundance ratios in gamma-ray burst and supernova host galaxies at z<4. Comparison with AGN, starburst and HII regions | The distribution of N/O abundance ratios calculated by the detailed modelling
of different galaxy spectra at z<4 is investigated. Supernova (SN) and long
gamma-ray-burst (LGRB) host galaxies cover different redshift domains. N/O in
SN hosts increases due to secondary N production towards low z (0.01)
accompanying the... | 0 | 1 | 0 | 0 | 0 | 0 |
Baselines and a datasheet for the Cerema AWP dataset | This paper presents the recently published Cerema AWP (Adverse Weather
Pedestrian) dataset for various machine learning tasks and its exports in
machine learning friendly format. We explain why this dataset can be
interesting (mainly because it is a greatly controlled and fully annotated
image dataset) and present ba... | 0 | 0 | 0 | 1 | 0 | 0 |
Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps | Estimating distributions of node characteristics (labels) such as number of
connections or citizenship of users in a social network via edge and node
sampling is a vital part of the study of complex networks. Due to its low cost,
sampling via a random walk (RW) has been proposed as an attractive solution to
this task... | 1 | 1 | 0 | 0 | 0 | 0 |
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis | Traditional Recurrent Neural Networks assume vectorized data as inputs.
However many data from modern science and technology come in certain structures
such as tensorial time series data. To apply the recurrent neural networks for
this type of data, a vectorisation process is necessary, while such a
vectorisation lea... | 1 | 0 | 0 | 1 | 0 | 0 |
End-to-End Learning for the Deep Multivariate Probit Model | The multivariate probit model (MVP) is a popular classic model for studying
binary responses of multiple entities. Nevertheless, the computational
challenge of learning the MVP model, given that its likelihood involves
integrating over a multidimensional constrained space of latent variables,
significantly limits its... | 0 | 0 | 0 | 1 | 0 | 0 |
Purity and separation for oriented matroids | Leclerc and Zelevinsky, motivated by the study of quasi-commuting quantum
flag minors, introduced the notions of strongly separated and weakly separated
collections. These notions are closely related to the theory of cluster
algebras, to the combinatorics of the double Bruhat cells, and to the totally
positive Grassm... | 0 | 0 | 1 | 0 | 0 | 0 |
Random Manifolds have no Totally Geodesic Submanifolds | For $n\geq 4$ we show that generic closed Riemannian $n$-manifolds have no
nontrivial totally geodesic submanifolds, answering a question of Spivak. An
immediate consequence is a severe restriction on the isometry group of a
generic Riemannian metric. Both results are widely believed to be true, but we
are not aware ... | 0 | 0 | 1 | 0 | 0 | 0 |
Kinematically Redundant Octahedral Motion Platform for Virtual Reality Simulations | We propose a novel design of a parallel manipulator of Stewart Gough type for
virtual reality application of single individuals; i.e. an omni-directional
treadmill is mounted on the motion platform in order to improve VR immersion by
giving feedback to the human body. For this purpose we modify the well-known
octahed... | 1 | 0 | 0 | 0 | 0 | 0 |
Loss Max-Pooling for Semantic Image Segmentation | We introduce a novel loss max-pooling concept for handling imbalanced
training data distributions, applicable as alternative loss layer in the
context of deep neural networks for semantic image segmentation. Most
real-world semantic segmentation datasets exhibit long tail distributions with
few object categories comp... | 1 | 0 | 0 | 1 | 0 | 0 |
Nonlinear Traveling Internal Waves in Depth-Varying Currents | In this work, we study the nonlinear traveling waves in density stratified
fluids with depth varying shear currents. Beginning the formulation of the
water-wave problem due to [1], we extend the work of [4] and [18] to examine
the interface between two fluids of differing densities and varying linear
shear. We derive... | 0 | 1 | 0 | 0 | 0 | 0 |
Instabilities of Internal Gravity Wave Beams | Internal gravity waves play a primary role in geophysical fluids: they
contribute significantly to mixing in the ocean and they redistribute energy
and momentum in the middle atmosphere. Until recently, most studies were
focused on plane wave solutions. However, these solutions are not a
satisfactory description of m... | 0 | 1 | 0 | 0 | 0 | 0 |
Multiphoton-Excited Fluorescence of Silicon-Vacancy Color Centers in Diamond | Silicon-vacancy color centers in nanodiamonds are promising as fluorescent
labels for biological applications, with a narrow, non-bleaching emission line
at 738\,nm. Two-photon excitation of this fluorescence offers the possibility
of low-background detection at significant tissue depth with high
three-dimensional sp... | 0 | 1 | 0 | 0 | 0 | 0 |
Exploring Latent Semantic Factors to Find Useful Product Reviews | Online reviews provided by consumers are a valuable asset for e-Commerce
platforms, influencing potential consumers in making purchasing decisions.
However, these reviews are of varying quality, with the useful ones buried deep
within a heap of non-informative reviews. In this work, we attempt to
automatically identi... | 1 | 0 | 0 | 1 | 0 | 0 |
Thermodynamically-consistent semi-classical $\ell$-changing rates | We compare the results of the semi-classical (SC) and quantum-mechanical (QM)
formalisms for angular-momentum changing transitions in Rydberg atom collisions
given by Vrinceanu & Flannery, J. Phys. B 34, L1 (2001), and Vrinceanu, Onofrio
& Sadeghpour, ApJ 747, 56 (2012), with those of the SC formalism using a
modifie... | 0 | 1 | 0 | 0 | 0 | 0 |
A Fourier transform for the quantum Toda lattice | We introduce an algebraic Fourier transform for the quantum Toda lattice.
| 0 | 0 | 1 | 0 | 0 | 0 |
Semi-supervised learning | Semi-supervised learning deals with the problem of how, if possible, to take
advantage of a huge amount of not classified data, to perform classification,
in situations when, typically, the labelled data are few. Even though this is
not always possible (it depends on how useful is to know the distribution of
the unla... | 0 | 0 | 1 | 1 | 0 | 0 |
The Cosmic-Ray Neutron Rover - Mobile Surveys of Field Soil Moisture and the Influence of Roads | Measurements of root-zone soil moisture across spatial scales of tens to
thousands of meters have been a challenge for many decades. The mobile
application of Cosmic-Ray Neutron Sensing (CRNS) is a promising approach to
measure field soil moisture non-invasively by surveying large regions with a
ground-based vehicle.... | 0 | 1 | 0 | 0 | 0 | 0 |
Invariance in Constrained Switching | We study discrete time linear constrained switching systems with additive
disturbances, in which the switching may be on the system matrices, the
disturbance sets, the state constraint sets or a combination of the above. In
our general setting, a switching sequence is admissible if it is accepted by an
automaton. For... | 1 | 0 | 1 | 0 | 0 | 0 |
On the choice of the low-dimensional domain for global optimization via random embeddings | The challenge of taking many variables into account in optimization problems
may be overcome under the hypothesis of low effective dimensionality. Then, the
search of solutions can be reduced to the random embedding of a low dimensional
space into the original one, resulting in a more manageable optimization
problem.... | 0 | 0 | 1 | 1 | 0 | 0 |
Distributed resource allocation through utility design - Part II: applications to submodular, supermodular and set covering problems | A fundamental component of the game theoretic approach to distributed control
is the design of local utility functions. In Part I of this work we showed how
to systematically design local utilities so as to maximize the induced worst
case performance. The purpose of the present manuscript is to specialize the
general... | 1 | 0 | 0 | 0 | 0 | 0 |
Quasiparticle band structure engineering in van der Waals heterostructures via dielectric screening | The idea of combining different two-dimensional (2D) crystals in van der
Waals heterostructures (vdWHs) has led to a new paradigm for band structure
engineering with atomic precision. Due to the weak interlayer couplings, the
band structures of the individual 2D crystals are largely preserved upon
formation of the he... | 0 | 1 | 0 | 0 | 0 | 0 |
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