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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Metric-Optimized Example Weights | Real-world machine learning applications often have complex test metrics, and
may have training and test data that follow different distributions. We propose
addressing these issues by using a weighted loss function with a standard
convex loss, but with weights on the training examples that are learned to
optimize th... | 0 | 0 | 0 | 1 | 0 | 0 |
Interior Eigensolver for Sparse Hermitian Definite Matrices Based on Zolotarev's Functions | This paper proposes an efficient method for computing selected generalized
eigenpairs of a sparse Hermitian definite matrix pencil (A, B). Based on
Zolotarev's best rational function approximations of the signum function and
conformal mapping techniques, we construct the best rational function
approximation of a rect... | 1 | 0 | 1 | 0 | 0 | 0 |
A Polya-Vinogradov-type inequality on $\mathbb{Z}[i]$ | We establish a Polya-Vinogradov-type bound for finite periodic multipicative
characters on the Gaussian integers.
| 0 | 0 | 1 | 0 | 0 | 0 |
Distinction of representations via Bruhat-Tits buildings of p-adic groups | Introductory and pedagogical treatmeant of the article : P. Broussous
"Distinction of the Steinberg representation", with an appendix by François
Courtès, IMRN 2014, no 11, 3140-3157. To appear in Proceedings of Chaire Jean
Morlet, Dipendra Prasad, Volker Heiermann Ed. 2017. Contains modified and
simplified proofs of... | 0 | 0 | 1 | 0 | 0 | 0 |
Face Super-Resolution Through Wasserstein GANs | Generative adversarial networks (GANs) have received a tremendous amount of
attention in the past few years, and have inspired applications addressing a
wide range of problems. Despite its great potential, GANs are difficult to
train. Recently, a series of papers (Arjovsky & Bottou, 2017a; Arjovsky et al.
2017b; and ... | 1 | 0 | 0 | 1 | 0 | 0 |
Network-based protein structural classification | Experimental determination of protein function is resource-consuming. As an
alternative, computational prediction of protein function has received
attention. In this context, protein structural classification (PSC) can help,
by allowing for determining structural classes of currently unclassified
proteins based on th... | 0 | 0 | 0 | 1 | 1 | 0 |
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments | Eliminating the negative effect of non-stationary environmental noise is a
long-standing research topic for automatic speech recognition that stills
remains an important challenge. Data-driven supervised approaches, including
ones based on deep neural networks, have recently emerged as potential
alternatives to tradi... | 1 | 0 | 0 | 0 | 0 | 0 |
The function field Sathé-Selberg formula in arithmetic progressions and `short intervals' | We use a function field analogue of a method of Selberg to derive an
asymptotic formula for the number of (square-free) monic polynomials in
$\mathbb{F}_q[X]$ of degree $n$ with precisely $k$ irreducible factors, in the
limit as $n$ tends to infinity. We then adapt this method to count such
polynomials in arithmetic ... | 0 | 0 | 1 | 0 | 0 | 0 |
Polynomial Relations Between Matrices of Graphs | We derive a correspondence between the eigenvalues of the adjacency matrix
$A$ and the signless Laplacian matrix $Q$ of a graph $G$ when $G$ is
$(d_1,d_2)$-biregular by using the relation $A^2=(Q-d_1I)(Q-d_2I)$. This
motivates asking when it is possible to have $X^r=f(Y)$ for $f$ a polynomial,
$r>0$, and $X,\ Y$ matr... | 0 | 0 | 1 | 0 | 0 | 0 |
Random active path model of deep neural networks with diluted binary synapses | Deep learning has become a powerful and popular tool for a variety of machine
learning tasks. However, it is challenging to understand the mechanism of deep
learning from a theoretical perspective. In this work, we propose a random
active path model to study collective properties of deep neural networks with
binary s... | 1 | 0 | 0 | 1 | 0 | 0 |
Super Generalized Central Limit Theorem: Limit distributions for sums of non-identical random variables with power-laws | In nature or societies, the power-law is present ubiquitously, and then it is
important to investigate the mathematical characteristics of power-laws in the
recent era of big data. In this paper we prove the superposition of
non-identical stochastic processes with power-laws converges in density to a
unique stable di... | 0 | 0 | 1 | 1 | 0 | 0 |
On the Adjacency Spectra of Hypertrees | We extend the results of Zhang et al. to show that $\lambda$ is an eigenvalue
of a $k$-uniform hypertree $(k \geq 3)$ if and only if it is a root of a
particular matching polynomial for a connected induced subtree. We then use
this to provide a spectral characterization for power hypertrees. Notably, the
situation is... | 0 | 0 | 1 | 0 | 0 | 0 |
Coherent structures and spectral energy transfer in turbulent plasma: a space-filter approach | Plasma turbulence at scales of the order of the ion inertial length is
mediated by several mechanisms, including linear wave damping, magnetic
reconnection, formation and dissipation of thin current sheets, stochastic
heating. It is now understood that the presence of localized coherent
structures enhances the dissip... | 0 | 1 | 0 | 0 | 0 | 0 |
Bayesian Sparsification of Recurrent Neural Networks | Recurrent neural networks show state-of-the-art results in many text analysis
tasks but often require a lot of memory to store their weights. Recently
proposed Sparse Variational Dropout eliminates the majority of the weights in a
feed-forward neural network without significant loss of quality. We apply this
techniqu... | 1 | 0 | 0 | 1 | 0 | 0 |
Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning | We build a deep reinforcement learning (RL) agent that can predict the
likelihood of an individual testing positive for malaria by asking questions
about their household. The RL agent learns to determine which survey question
to ask next and when to stop to make a prediction about their likelihood of
malaria based on... | 1 | 0 | 0 | 1 | 0 | 0 |
Curious Minds Wonder Alike: Studying Multimodal Behavioral Dynamics to Design Social Scaffolding of Curiosity | Curiosity is the strong desire to learn or know more about something or
someone. Since learning is often a social endeavor, social dynamics in
collaborative learning may inevitably influence curiosity. There is a scarcity
of research, however, focusing on how curiosity can be evoked in group learning
contexts. Inspir... | 1 | 0 | 0 | 0 | 0 | 0 |
Communication Complexity of Discrete Fair Division | We initiate the study of the communication complexity of fair division with
indivisible goods. We focus on some of the most well-studied fairness notions
(envy-freeness, proportionality, and approximations thereof) and valuation
classes (submodular, subadditive and unrestricted). Within these parameters,
our results ... | 1 | 0 | 0 | 0 | 0 | 0 |
A proof of the Muir-Suffridge conjecture for convex maps of the unit ball in $\mathbb C^n$ | We prove (and improve) the Muir-Suffridge conjecture for holomorphic convex
maps. Namely, let $F:\mathbb B^n\to \mathbb C^n$ be a univalent map from the
unit ball whose image $D$ is convex. Let $\mathcal S\subset \partial \mathbb
B^n$ be the set of points $\xi$ such that $\lim_{z\to \xi}\|F(z)\|=\infty$.
Then we prov... | 0 | 0 | 1 | 0 | 0 | 0 |
Continuous Functional Calculus for Quaternionic Bounded Normal Operators | In this article we give an approach to define continuous functional calculus
for bounded quaternionic normal operators defined on a right quaternionic
Hilbert space.
| 0 | 0 | 1 | 0 | 0 | 0 |
Evolution of structure, magnetism and electronic transport in doped pyrochlore iridate Y$_2$Ir$_{2-x}$Ru$_{x}$O$_7$ | The interplay between spin-orbit coupling (SOC) and electron correlation
($U$) is considered for many exotic phenomena in iridium oxides. We have
investigated the evolution of structural, magnetic and electronic properties in
pyrochlore iridate Y$_2$Ir$_{2-x}$Ru$_{x}$O$_7$ where the substitution of Ru
has been aimed ... | 0 | 1 | 0 | 0 | 0 | 0 |
Cieliebak's Invariance Theorem and contact structures via connected sums | We present a strong version of Abouzaid's No-Escape Lemma, which allows
varying contact forms on the boundary and which can be used instead of the
Maximum Principle. Moreover, we give a clarified proof of Cieliebak's
Invariance Theorem for Symplectic homology under subcritical handle attachment.
Finally, we introduce... | 0 | 0 | 1 | 0 | 0 | 0 |
Learning Graph Weighted Models on Pictures | Graph Weighted Models (GWMs) have recently been proposed as a natural
generalization of weighted automata over strings and trees to arbitrary
families of labeled graphs (and hypergraphs). A GWM generically associates a
labeled graph with a tensor network and computes a value by successive
contractions directed by its... | 0 | 0 | 0 | 1 | 0 | 0 |
Solutions for biharmonic equations with steep potential wells | In this paper, we are concerned with the existence of least energy solutions
for the following biharmonic equations: $$\Delta^2 u+(\lambda
V(x)-\delta)u=|u|^{p-2}u \quad in\quad \mathbb{R}^N$$ where $N\geq 5,
2<p\leq\frac{2N}{N-4}, \lambda>0$ is a parameter, $V(x)$ is a nonnegative
potential function with nonempty ze... | 0 | 0 | 1 | 0 | 0 | 0 |
General three and four person two color Hat Game | N distinguishable players are randomly fitted with a white or black hat,
where the probabilities of getting a white or black hat may be different for
each player, but known to all the players. All players guess simultaneously the
color of their own hat observing only the hat colors of the other N-1 players.
It is als... | 1 | 0 | 0 | 0 | 0 | 0 |
Pencilled regular parallelisms | Over any field $\mathbb K$, there is a bijection between regular spreads of
the projective space ${\rm PG}(3,{\mathbb K})$ and $0$-secant lines of the
Klein quadric in ${\rm PG}(5,{\mathbb K})$. Under this bijection, regular
parallelisms of ${\rm PG}(3,{\mathbb K})$ correspond to hyperflock determining
line sets (hfd... | 0 | 0 | 1 | 0 | 0 | 0 |
The loss surface of deep and wide neural networks | While the optimization problem behind deep neural networks is highly
non-convex, it is frequently observed in practice that training deep networks
seems possible without getting stuck in suboptimal points. It has been argued
that this is the case as all local minima are close to being globally optimal.
We show that t... | 1 | 0 | 0 | 1 | 0 | 0 |
Gap Acceptance During Lane Changes by Large-Truck Drivers-An Image-Based Analysis | This paper presents an analysis of rearward gap acceptance characteristics of
drivers of large trucks in highway lane change scenarios. The range between the
vehicles was inferred from camera images using the estimated lane width
obtained from the lane tracking camera as the reference. Six-hundred lane
change events ... | 1 | 0 | 0 | 0 | 0 | 0 |
Diversity-Sensitive Conditional Generative Adversarial Networks | We propose a simple yet highly effective method that addresses the
mode-collapse problem in the Conditional Generative Adversarial Network (cGAN).
Although conditional distributions are multi-modal (i.e., having many modes) in
practice, most cGAN approaches tend to learn an overly simplified distribution
where an inp... | 1 | 0 | 0 | 1 | 0 | 0 |
Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis | Global Style Tokens (GSTs) are a recently-proposed method to learn latent
disentangled representations of high-dimensional data. GSTs can be used within
Tacotron, a state-of-the-art end-to-end text-to-speech synthesis system, to
uncover expressive factors of variation in speaking style. In this work, we
introduce the... | 1 | 0 | 0 | 1 | 0 | 0 |
Independence of Sources in Social Networks | Online social networks are more and more studied. The links between users of
a social network are important and have to be well qualified in order to detect
communities and find influencers for example. In this paper, we present an
approach based on the theory of belief functions to estimate the degrees of
cognitive ... | 1 | 0 | 0 | 0 | 0 | 0 |
Classical and quantum systems: transport due to rare events | We review possible mechanisms for energy transfer based on 'rare' or
'non-perturbative' effects, in physical systems that present a many-body
localized phenomenology. The main focus is on classical systems, with or
without quenched disorder. For non-quantum systems, the breakdown of
localization is usually not regard... | 0 | 1 | 0 | 0 | 0 | 0 |
An a Priori Exponential Tail Bound for k-Folds Cross-Validation | We consider a priori generalization bounds developed in terms of
cross-validation estimates and the stability of learners. In particular, we
first derive an exponential Efron-Stein type tail inequality for the
concentration of a general function of n independent random variables. Next,
under some reasonable notion of... | 1 | 0 | 0 | 1 | 0 | 0 |
Relaxed Wasserstein with Applications to GANs | We propose a novel class of statistical divergences called \textit{Relaxed
Wasserstein} (RW) divergence. RW divergence generalizes Wasserstein divergence
and is parametrized by a class of strictly convex and differentiable functions.
We establish for RW divergence several probabilistic properties, which are
critical ... | 1 | 0 | 0 | 1 | 0 | 0 |
Extremal functions for the Moser--Trudinger inequality of Adimurthi--Druet type in $W^{1,N}(\mathbb R^N)$ | We study the existence and nonexistence of maximizers for variational problem
concerning to the Moser--Trudinger inequality of Adimurthi--Druet type in
$W^{1,N}(\mathbb R^N)$ \[ MT(N,\beta, \alpha) =\sup_{u\in W^{1,N}(\mathbb R^N),
\|\nabla u\|_N^N + \|u\|_N^N\leq 1} \int_{\mathbb R^N} \Phi_N(\beta(1+\alpha
\|u\|_N^N... | 0 | 0 | 1 | 0 | 0 | 0 |
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning | This paper introduces Dex, a reinforcement learning environment toolkit
specialized for training and evaluation of continual learning methods as well
as general reinforcement learning problems. We also present the novel continual
learning method of incremental learning, where a challenging environment is
solved using... | 1 | 0 | 0 | 1 | 0 | 0 |
The first order partial differential equations resolved with any derivatives | In this paper we discuss the first order partial differential equations
resolved with any derivatives. At first, we transform the first order partial
differential equation resolved with respect to a time derivative into a system
of linear equations. Secondly, we convert it into a system of the first order
linear part... | 0 | 0 | 1 | 0 | 0 | 0 |
The Genus-One Global Mirror Theorem for the Quintic Threefold | We prove the genus-one restriction of the all-genus
Landau-Ginzburg/Calabi-Yau conjecture of Chiodo and Ruan, stated in terms of
the geometric quantization of an explicit symplectomorphism determined by
genus-zero invariants. This provides the first evidence supporting the
higher-genus Landau-Ginzburg/Calabi-Yau corr... | 0 | 0 | 1 | 0 | 0 | 0 |
Self-Calibration of Mobile Manipulator Kinematic and Sensor Extrinsic Parameters Through Contact-Based Interaction | We present a novel approach for mobile manipulator self-calibration using
contact information. Our method, based on point cloud registration, is applied
to estimate the extrinsic transform between a fixed vision sensor mounted on a
mobile base and an end effector. Beyond sensor calibration, we demonstrate that
the me... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards Open Data for the Citation Content Analysis | The paper presents first results of the CitEcCyr project funded by RANEPA.
The project aims to create a source of open citation data for research papers
written in Russian. Compared to existing sources of citation data, CitEcCyr is
working to provide the following added values: a) a transparent and distributed
archit... | 1 | 0 | 0 | 0 | 0 | 0 |
Real Time Collision Detection and Identification for Robotic Manipulators | The majority of everyday tasks involve interacting with unstructured
environments. This implies that, in order for robots to be truly useful they
must be able to handle contacts. This paper explores how a particle filter can
be used to localize a contact point and estimate the external force. We
demonstrate the capab... | 1 | 0 | 0 | 0 | 0 | 0 |
Time-dynamic inference for non-Markov transition probabilities under independent right-censoring | In this article, weak convergence of the general non-Markov state transition
probability estimator by Titman (2015) is established which, up to now, has not
been verified yet for other general non-Markov estimators. A similar theorem is
shown for the bootstrap, yielding resampling-based inference methods for
statisti... | 0 | 0 | 1 | 1 | 0 | 0 |
Multitask Learning with CTC and Segmental CRF for Speech Recognition | Segmental conditional random fields (SCRFs) and connectionist temporal
classification (CTC) are two sequence labeling methods used for end-to-end
training of speech recognition models. Both models define a transcription
probability by marginalizing decisions about latent segmentation alternatives
to derive a sequence... | 1 | 0 | 0 | 0 | 0 | 0 |
Electronic structure and non-linear optical properties of organic photovoltaic systems with potential applications on solar cell devices: A DFT approach | The use of eco-friendly materials for the environment has been addressed as a
critical issue in the development of systems for renewable energy applications.
In this regard, the investigation of organic photovoltaic (OPV) molecules for
the implementation in solar cells, has become a subject of intense research in
the... | 0 | 1 | 0 | 0 | 0 | 0 |
Connectivity Learning in Multi-Branch Networks | While much of the work in the design of convolutional networks over the last
five years has revolved around the empirical investigation of the importance of
depth, filter sizes, and number of feature channels, recent studies have shown
that branching, i.e., splitting the computation along parallel but distinct
thread... | 1 | 0 | 0 | 0 | 0 | 0 |
A multiple timescales approach to bridging spiking- and population-level dynamics | A rigorous bridge between spiking-level and macroscopic quantities is an
on-going and well-developed story for asynchronously firing neurons, but focus
has shifted to include neural populations exhibiting varying synchronous
dynamics. Recent literature has used the Ott--Antonsen ansatz (2008) to great
effect, allowin... | 0 | 0 | 0 | 0 | 1 | 0 |
Two-Stream RNN/CNN for Action Recognition in 3D Videos | The recognition of actions from video sequences has many applications in
health monitoring, assisted living, surveillance, and smart homes. Despite
advances in sensing, in particular related to 3D video, the methodologies to
process the data are still subject to research. We demonstrate superior results
by a system w... | 1 | 0 | 0 | 0 | 0 | 0 |
DNA translocation through alpha-haemolysin nano-pores with potential application to macromolecular data storage | Digital information can be encoded in the building-block sequence of
macromolecules, such as RNA and single-stranded DNA. Methods of "writing" and
"reading" macromolecular strands are currently available, but they are slow and
expensive. In an ideal molecular data storage system, routine operations such
as write, rea... | 1 | 1 | 0 | 0 | 0 | 0 |
Contextuality from missing and versioned data | Traditionally categorical data analysis (e.g. generalized linear models)
works with simple, flat datasets akin to a single table in a database with no
notion of missing data or conflicting versions. In contrast, modern data
analysis must deal with distributed databases with many partial local tables
that need not alw... | 1 | 0 | 0 | 1 | 0 | 0 |
Reveal the Mantle and K-40 Components of Geoneutrinos with Liquid Scintillator Cherenkov Neutrino Detectors | In this article we present an idea of using liquid scintillator Cherenkov
neutrino detectors to detect the mantle and K-40 components of geoneutrinos.
Liquid scintillator Cherenkov detectors feature both energy and direction
measurement for charge particles. Geoneutrinos can be detected with the elastic
scattering pr... | 0 | 1 | 0 | 0 | 0 | 0 |
Improving Stock Movement Prediction with Adversarial Training | This paper contributes a new machine learning solution for stock movement
prediction, which aims to predict whether the price of a stock will be up or
down in the near future. The key novelty is that we propose to employ
adversarial training to improve the generalization of a recurrent neural
network model. The ratio... | 0 | 0 | 0 | 0 | 0 | 1 |
Weighted estimates for positive operators and Doob maximal operators on filtered measure spaces | We characterize strong type and weak type inequalities with two weights for
positive operators on filtered measure spaces. These estimates are
probabilistic analogues of two-weight inequalities for positive operators
associated to the dyadic cubes in $\mathbb R^n$ due to Lacey, Sawyer and
Uriarte-Tuero \cite{LaSaUr}.... | 0 | 0 | 1 | 0 | 0 | 0 |
Sentiment Identification in Code-Mixed Social Media Text | Sentiment analysis is the Natural Language Processing (NLP) task dealing with
the detection and classification of sentiments in texts. While some tasks deal
with identifying the presence of sentiment in the text (Subjectivity analysis),
other tasks aim at determining the polarity of the text categorizing them as
posi... | 1 | 0 | 0 | 0 | 0 | 0 |
SVSGAN: Singing Voice Separation via Generative Adversarial Network | Separating two sources from an audio mixture is an important task with many
applications. It is a challenging problem since only one signal channel is
available for analysis. In this paper, we propose a novel framework for singing
voice separation using the generative adversarial network (GAN) with a
time-frequency m... | 1 | 0 | 0 | 0 | 0 | 0 |
Microscopic theory of refractive index applied to metamaterials: Effective current response tensor corresponding to standard relation $n^2 = \varepsilon_{\mathrm{eff}} μ_{\mathrm{eff}}$ | In this article, we first derive the wavevector- and frequency-dependent,
microscopic current response tensor which corresponds to the "macroscopic"
ansatz $\vec D = \varepsilon_0 \varepsilon_{\mathrm{eff}} \vec E$ and $\vec B =
\mu_0 \mu_{\mathrm{eff}} \vec H$ with wavevector- and frequency-independent,
"effective" ... | 0 | 1 | 0 | 0 | 0 | 0 |
Semidefinite Relaxation-Based Optimization of Multiple-Input Wireless Power Transfer Systems | An optimization procedure for multi-transmitter (MISO) wireless power
transfer (WPT) systems based on tight semidefinite relaxation (SDR) is
presented. This method ensures physical realizability of MISO WPT systems
designed via convex optimization -- a robust, semi-analytical and intuitive
route to optimizing such sy... | 1 | 0 | 1 | 0 | 0 | 0 |
Counterfactual Reasoning with Disjunctive Knowledge in a Linear Structural Equation Model | We consider the problem of estimating counterfactual quantities when prior
knowledge is available in the form of disjunctive statements. These include
disjunction of conditions (e.g., "the patient is more than 60 years of age") as
well as disjuction of antecedants (e.g., "had the patient taken either drug A
or drug B... | 0 | 0 | 0 | 1 | 0 | 0 |
Post-edit Analysis of Collective Biography Generation | Text generation is increasingly common but often requires manual post-editing
where high precision is critical to end users. However, manual editing is
expensive so we want to ensure this effort is focused on high-value tasks. And
we want to maintain stylistic consistency, a particular challenge in crowd
settings. We... | 1 | 0 | 0 | 0 | 0 | 0 |
The SysML/KAOS Domain Modeling Approach | A means of building safe critical systems consists of formally modeling the
requirements formulated by stakeholders and ensuring their consistency with
respect to application domain properties. This paper proposes a metamodel for
an ontology modeling formalism based on OWL and PLIB. This modeling formalism
is part of... | 1 | 0 | 0 | 0 | 0 | 0 |
Neighborhood selection with application to social networks | The topic of this paper is modeling and analyzing dependence in stochastic
social networks. Using a latent variable block model allows the analysis of
dependence between blocks via the analysis of a latent graphical model. Our
approach to the analysis of the graphical model then is based on the idea
underlying the ne... | 0 | 0 | 1 | 1 | 0 | 0 |
Spinless hourglass nodal-line semimetals | Nodal-line semimetals, one of the topological semimetals, have degeneracy
along nodal lines where the band gap is closed. In many cases, the nodal lines
appear accidentally, and in such cases it is impossible to determine whether
the nodal lines appear or not, only from the crystal symmetry and the electron
filling. ... | 0 | 1 | 0 | 0 | 0 | 0 |
Average-radius list-recovery of random linear codes: it really ties the room together | We analyze the list-decodability, and related notions, of random linear
codes. This has been studied extensively before: there are many different
parameter regimes and many different variants. Previous works have used
complementary styles of arguments---which each work in their own parameter
regimes but not in others... | 1 | 0 | 0 | 0 | 0 | 0 |
Insights on representational similarity in neural networks with canonical correlation | Comparing different neural network representations and determining how
representations evolve over time remain challenging open questions in our
understanding of the function of neural networks. Comparing representations in
neural networks is fundamentally difficult as the structure of representations
varies greatly,... | 0 | 0 | 0 | 1 | 0 | 0 |
Complex Hadamard matrices with noncommutative entries | We axiomatize and study the matrices of type $H\in M_N(A)$, having unitary
entries, $H_{ij}\in U(A)$, and whose rows and columns are subject to
orthogonality type conditions. Here $A$ can be any $C^*$-algebra, for instance
$A=\mathbb C$, where we obtain the usual complex Hadamard matrices, or
$A=C(X)$, where we obtai... | 0 | 0 | 1 | 0 | 0 | 0 |
Subregular Complexity and Deep Learning | This paper argues that the judicial use of formal language theory and
grammatical inference are invaluable tools in understanding how deep neural
networks can and cannot represent and learn long-term dependencies in temporal
sequences. Learning experiments were conducted with two types of Recurrent
Neural Networks (R... | 1 | 0 | 0 | 0 | 0 | 0 |
Observation of oscillatory relaxation in the Sn-terminated surface of epitaxial rock-salt SnSe $\{111\}$ topological crystalline insulator | Topological crystalline insulators have been recently predicted and observed
in rock-salt structure SnSe $\{111\}$ thin films. Previous studies have
suggested that the Se-terminated surface of this thin film with hydrogen
passivation, has a reduced surface energy and is thus a preferred
configuration. In this paper, ... | 0 | 1 | 0 | 0 | 0 | 0 |
Chaotic Dynamics of Inner Ear Hair Cells | Experimental records of active bundle motility are used to demonstrate the
presence of a low-dimensional chaotic attractor in hair cell dynamics.
Dimensionality tests from dynamic systems theory are applied to estimate the
number of independent variables sufficient for modeling the hair cell response.
Poincare maps a... | 0 | 1 | 0 | 0 | 0 | 0 |
From Dirac semimetals to topological phases in three dimensions: a coupled wire construction | Weyl and Dirac (semi)metals in three dimensions have robust gapless
electronic band structures. Their massless single-body energy spectra are
protected by symmetries such as lattice translation, (screw) rotation and time
reversal. In this manuscript, we discuss many-body interactions in these
systems. We focus on str... | 0 | 1 | 0 | 0 | 0 | 0 |
CHIME FRB: An application of FFT beamforming for a radio telescope | We have developed FFT beamforming techniques for the CHIME radio telescope,
to search for and localize the astrophysical signals from Fast Radio Bursts
(FRBs) over a large instantaneous field-of-view (FOV) while maintaining the
full angular resolution of CHIME. We implement a hybrid beamforming pipeline in
a GPU corr... | 0 | 1 | 0 | 0 | 0 | 0 |
MRI-PET Registration with Automated Algorithm in Pre-clinical Studies | Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET)
automatic 3-D registration is implemented and validated for small animal image
volumes so that the high-resolution anatomical MRI information can be fused
with the low spatial resolution of functional PET information for the
localization of lesio... | 1 | 0 | 0 | 0 | 0 | 0 |
Generalization of Special Functions and its Applications to Multiplicative and Ordinary Fractional Derivatives | The goal of this paper is to extend the classical and multiplicative
fractional derivatives. For this purpose, it is introduced the new extended
modified Bessel function and also given an important relation between this new
function I(v,q;x) and the confluent hypergeometric function. Besides, it is
used to generalize... | 0 | 0 | 1 | 0 | 0 | 0 |
Incident Light Frequency-based Image Defogging Algorithm | Considering the problem of color distortion caused by the defogging algorithm
based on dark channel prior, an improved algorithm was proposed to calculate
the transmittance of all channels respectively. First, incident light
frequency's effect on the transmittance of various color channels was analyzed
according to t... | 1 | 0 | 0 | 0 | 0 | 0 |
Tangent points of d-lower content regular sets and $β$ numbers | We present a generalisation of C. Bishop and P. Jones' result in [BJ1], where
they give a characterisation of the tangent points of a Jordan curve in terms
of $\beta$ numbers. Instead of the $L^\infty$ Jones' $\beta$ numbers, we use an
averaged version of them, firstly introduced by J. Azzam and R. Schul in [AS1].
A ... | 0 | 0 | 1 | 0 | 0 | 0 |
Quasi-Oracle Estimation of Heterogeneous Treatment Effects | Flexible estimation of heterogeneous treatment effects lies at the heart of
many statistical challenges, such as personalized medicine and optimal resource
allocation. In this paper, we develop a general class of two-step algorithms
for heterogeneous treatment effect estimation in observational studies. We
first esti... | 0 | 0 | 1 | 1 | 0 | 0 |
Adaptive clustering procedure for continuous gravitational wave searches | In hierarchical searches for continuous gravitational waves, clustering of
candidates is an important postprocessing step because it reduces the number of
noise candidates that are followed-up at successive stages [1][7][12]. Previous
clustering procedures bundled together nearby candidates ascribing them to the
same... | 0 | 1 | 1 | 0 | 0 | 0 |
The heat trace for the drifting Laplacian and Schrödinger operators on manifolds | We study the heat trace for both the drifting Laplacian as well as
Schrödinger operators on compact Riemannian manifolds. In the case of a
finite regularity potential or weight function, we prove the existence of a
partial (six term) asymptotic expansion of the heat trace for small times as
well as a suitable remaind... | 0 | 0 | 1 | 0 | 0 | 0 |
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data | As online systems based on machine learning are offered to public or paid
subscribers via application programming interfaces (APIs), they become
vulnerable to frequent exploits and attacks. This paper studies adversarial
machine learning in the practical case when there are rate limitations on API
calls. The adversar... | 1 | 0 | 0 | 1 | 0 | 0 |
Coloring ($P_6$, diamond, $K_4$)-free graphs | We show that every ($P_6$, diamond, $K_4$)-free graph is $6$-colorable.
Moreover, we give an example of a ($P_6$, diamond, $K_4$)-free graph $G$ with
$\chi(G) = 6$. This generalizes some known results in the literature.
| 1 | 0 | 0 | 0 | 0 | 0 |
Habitable Climate Scenarios for Proxima Centauri b With a Dynamic Ocean | The nearby exoplanet Proxima Centauri b will be a prime future target for
characterization, despite questions about its retention of water. Climate
models with static oceans suggest that an Earth-like Proxima b could harbor a
small dayside region of surface liquid water at fairly warm temperatures
despite its weak in... | 0 | 1 | 0 | 0 | 0 | 0 |
Level bounds for exceptional quantum subgroups in rank two | There is a long-standing belief that the modular tensor categories
$\mathcal{C}(\mathfrak{g},k)$, for $k\in\mathbb{Z}_{\geq1}$ and
finite-dimensional simple complex Lie algebras $\mathfrak{g}$, contain
exceptional connected étale algebras at only finitely many levels $k$. This
premise has known implications for the s... | 0 | 0 | 1 | 0 | 0 | 0 |
Convolution Forgetting Curve Model for Repeated Learning | Most of mathematic forgetting curve models fit well with the forgetting data
under the learning condition of one time rather than repeated. In the paper, a
convolution model of forgetting curve is proposed to simulate the memory
process during learning. In this model, the memory ability (i.e. the central
procedure in... | 1 | 0 | 0 | 0 | 1 | 0 |
Efficient computation of multidimensional theta functions | An important step in the efficient computation of multi-dimensional theta
functions is the construction of appropriate symplectic transformations for a
given Riemann matrix assuring a rapid convergence of the theta series. An
algorithm is presented to approximately map the Riemann matrix to the Siegel
fundamental dom... | 0 | 1 | 1 | 0 | 0 | 0 |
The careless use of language in quantum information | An imperative aspect of modern science is that scientific institutions act
for the benefit of a common scientific enterprise, rather than for the personal
gain of individuals within them. This implies that science should not
perpetuate existing or historical unequal social orders. Some scientific
terminology, though,... | 0 | 1 | 0 | 0 | 0 | 0 |
Origin of meteoritic stardust unveiled by a revised proton-capture rate of $^{17}$O | Stardust grains recovered from meteorites provide high-precision snapshots of
the isotopic composition of the stellar environment in which they formed.
Attributing their origin to specific types of stars, however, often proves
difficult. Intermediate-mass stars of 4-8 solar masses are expected to
contribute a large f... | 0 | 1 | 0 | 0 | 0 | 0 |
Some Connections Between Cycles and Permutations that Fix a Set and Touchard Polynomials and Covers of Multisets | We present a new proof of a fundamental result concerning cycles of random
permutations which gives some intuition for the connection between Touchard
polynomials and the Poisson distribution. We also introduce a rather novel
permutation statistic and study its distribution. This quantity, indexed by
$m$, is the numb... | 0 | 0 | 1 | 0 | 0 | 0 |
Generalizing the first-difference correlated random walk for marine animal movement data | Animal telemetry data are often analysed with discrete time movement models
assuming rotation in the movement. These models are defined with equidistant
distant time steps. However, telemetry data from marine animals are observed
irregularly. To account for irregular data, a time-irregularised
first-difference correl... | 0 | 0 | 0 | 0 | 1 | 0 |
Low spin wave damping in the insulating chiral magnet Cu$_{2}$OSeO$_{3}$ | Chiral magnets with topologically nontrivial spin order such as Skyrmions
have generated enormous interest in both fundamental and applied sciences. We
report broadband microwave spectroscopy performed on the insulating chiral
ferrimagnet Cu$_{2}$OSeO$_{3}$. For the damping of magnetization dynamics we
find a remarka... | 0 | 1 | 0 | 0 | 0 | 0 |
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation | For human pose estimation in monocular images, joint occlusions and
overlapping upon human bodies often result in deviated pose predictions. Under
these circumstances, biologically implausible pose predictions may be produced.
In contrast, human vision is able to predict poses by exploiting geometric
constraints of j... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Learning from Shallow Dives: Sonar Image Generation and Training for Underwater Object Detection | Among underwater perceptual sensors, imaging sonar has been highlighted for
its perceptual robustness underwater. The major challenge of imaging sonar,
however, arises from the difficulty in defining visual features despite limited
resolution and high noise levels. Recent developments in deep learning provide
a power... | 1 | 0 | 0 | 0 | 0 | 0 |
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression | Genome-wide association studies (GWAS) have achieved great success in the
genetic study of Alzheimer's disease (AD). Collaborative imaging genetics
studies across different research institutions show the effectiveness of
detecting genetic risk factors. However, the high dimensionality of GWAS data
poses significant c... | 1 | 0 | 0 | 1 | 0 | 0 |
Strong Functional Representation Lemma and Applications to Coding Theorems | This paper shows that for any random variables $X$ and $Y$, it is possible to
represent $Y$ as a function of $(X,Z)$ such that $Z$ is independent of $X$ and
$I(X;Z|Y)\le\log(I(X;Y)+1)+4$ bits. We use this strong functional
representation lemma (SFRL) to establish a bound on the rate needed for
one-shot exact channel ... | 1 | 0 | 1 | 0 | 0 | 0 |
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation | Infants are experts at playing, with an amazing ability to generate novel
structured behaviors in unstructured environments that lack clear extrinsic
reward signals. We seek to replicate some of these abilities with a neural
network that implements curiosity-driven intrinsic motivation. Using a simple
but ecologicall... | 0 | 0 | 0 | 1 | 0 | 0 |
Predicting shim gaps in aircraft assembly with machine learning and sparse sensing | A modern aircraft may require on the order of thousands of custom shims to
fill gaps between structural components in the airframe that arise due to
manufacturing tolerances adding up across large structures. These shims are
necessary to eliminate gaps, maintain structural performance, and minimize
pull-down forces r... | 0 | 0 | 0 | 1 | 0 | 0 |
Multivariate central limit theorems for Rademacher functionals with applications | Quantitative multivariate central limit theorems for general functionals of
possibly non-symmetric and non-homogeneous infinite Rademacher sequences are
proved by combining discrete Malliavin calculus with the smart path method for
normal approximation. In particular, a discrete multivariate second-order
Poincaré ine... | 0 | 0 | 1 | 0 | 0 | 0 |
Modification of Social Dominance in Social Networks by Selective Adjustment of Interpersonal Weights | According to the DeGroot-Friedkin model of a social network, an individual's
social power evolves as the network discusses individual opinions over a
sequence of issues. Under mild assumptions on the connectivity of the network,
the social power of every individual converges to a constant strictly positive
value as t... | 1 | 0 | 0 | 0 | 0 | 0 |
On Abrikosov Lattice Solutions of the Ginzburg-Landau Equations | We prove existence of Abrikosov vortex lattice solutions of the
Ginzburg-Landau equations of superconductivity, with multiple magnetic flux
quanta per a fundamental cell. We also revisit the existence proof for the
Abrikosov vortex lattices, streamlining some arguments and providing some
essential details missing in ... | 0 | 0 | 1 | 0 | 0 | 0 |
$0.7-2.5~μ$m spectra of Hilda asteroids | The Hilda asteroids are primitive bodies in resonance with Jupiter whose
origin and physical properties are not well understood. Current models posit
that these asteroids formed in the outer Solar System and were scattered along
with the Jupiter Trojans into their present-day positions during a chaotic
episode of dyn... | 0 | 1 | 0 | 0 | 0 | 0 |
Ground-state properties of unitary bosons: from clusters to matter | The properties of cold Bose gases at unitarity have been extensively
investigated in the last few years both theoretically and experimentally. In
this paper we use a family of interactions tuned to two-body unitarity and very
weak three-body binding to demonstrate the universal properties of both
clusters and matter.... | 0 | 1 | 0 | 0 | 0 | 0 |
Lower bounds on the Noether number | The best known method to give a lower bound for the Noether number of a given
finite group is to use the fact that it is greater than or equal to the Noether
number of any of the subgroups or factor groups. The results of the present
paper show in particular that these inequalities are strict for proper
subgroups or ... | 0 | 0 | 1 | 0 | 0 | 0 |
A Survey on the Adoption of Cloud Computing in Education Sector | Education is a key factor in ensuring economic growth, especially for
countries with growing economies. Today, students have become more
technologically savvy as teaching and learning uses more advance technology day
in, day out. Due to virtualize resources through the Internet, as well as
dynamic scalability, cloud ... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Neural Networks as Gaussian Processes | It has long been known that a single-layer fully-connected neural network
with an i.i.d. prior over its parameters is equivalent to a Gaussian process
(GP), in the limit of infinite network width. This correspondence enables exact
Bayesian inference for infinite width neural networks on regression tasks by
means of e... | 1 | 0 | 0 | 1 | 0 | 0 |
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