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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Separation of the charge density wave and superconducting states by an intermediate semimetal phase in pressurized TaTe2 | In layered transition metal dichalcogenides (LTMDCs) that display both charge
density waves (CDWs) and superconductivity, the superconducting state generally
emerges directly on suppression of the CDW state. Here, however, we report a
different observation for pressurized TaTe2, a non-superconducting CDW-bearing
LTMD... | 0 | 1 | 0 | 0 | 0 | 0 |
Zero distribution for Angelesco Hermite--Padé polynomials | We consider the problem of zero distribution of the first kind
Hermite--Padé polynomials associated with a vector function $\vec f = (f_1,
\dots, f_s)$ whose components $f_k$ are functions with a finite number of
branch points in plane. We assume that branch sets of component functions are
well enough separated (whic... | 0 | 0 | 1 | 0 | 0 | 0 |
Atomic-scale identification of novel planar defect phases in heteroepitaxial YBa$_2$Cu$_3$O$_{7-δ}$ thin films | We have discovered two novel types of planar defects that appear in
heteroepitaxial YBa$_2$Cu$_3$O$_{7-\delta}$ (YBCO123) thin films, grown by
pulsed-laser deposition (PLD) either with or without a
La$_{2/3}$Ca$_{1/3}$MnO$_3$ (LCMO) overlayer, using the combination of
high-angle annular dark-field scanning transmissi... | 0 | 1 | 0 | 0 | 0 | 0 |
Self-consistent assessment of Englert-Schwinger model on atomic properties | Our manuscript investigates a self-consistent solution of the statistical
atom model proposed by Berthold-Georg Englert and Julian Schwinger (the ES
model) and benchmarks it against atomic Kohn-Sham and two orbital-free models
of the Thomas-Fermi-Dirac (TFD)-$\lambda$vW family. Results show that the ES
model generall... | 0 | 1 | 0 | 0 | 0 | 0 |
Target volatility option pricing in lognormal fractional SABR model | We examine in this article the pricing of target volatility options in the
lognormal fractional SABR model. A decomposition formula by Ito's calculus
yields a theoretical replicating strategy for the target volatility option,
assuming the accessibilities of all variance swaps and swaptions. The same
formula also sugg... | 0 | 0 | 0 | 0 | 0 | 1 |
Robust Blind Deconvolution via Mirror Descent | We revisit the Blind Deconvolution problem with a focus on understanding its
robustness and convergence properties. Provable robustness to noise and other
perturbations is receiving recent interest in vision, from obtaining immunity
to adversarial attacks to assessing and describing failure modes of algorithms
in mis... | 1 | 0 | 0 | 1 | 0 | 0 |
One-Dimensional Symmetry Protected Topological Phases and their Transitions | We present a unified perspective on symmetry protected topological (SPT)
phases in one dimension and address the open question of what characterizes
their phase transitions. In the first part of this work we use symmetry as a
guide to map various well-known fermionic and spin SPTs to a Kitaev chain with
coupling of r... | 0 | 1 | 0 | 0 | 0 | 0 |
Proceedings Eighth International Symposium on Games, Automata, Logics and Formal Verification | This volume contains the proceedings of the Eighth International Symposium on
Games, Automata, Logic and Formal Verification (GandALF 2017). The symposium
took place in Roma, Italy, from the 20th to the 22nd of September 2017. The
GandALF symposium was established by a group of Italian computer scientists
interested ... | 1 | 0 | 0 | 0 | 0 | 0 |
Valence Bonds in Random Quantum Magnets: Theory and Application to YbMgGaO4 | We analyze the effect of quenched disorder on spin-1/2 quantum magnets in
which magnetic frustration promotes the formation of local singlets. Our
results include a theory for 2d valence-bond solids subject to weak bond
randomness, as well as extensions to stronger disorder regimes where we make
connections with quan... | 0 | 1 | 0 | 0 | 0 | 0 |
TuckER: Tensor Factorization for Knowledge Graph Completion | Knowledge graphs are structured representations of real world facts. However,
they typically contain only a small subset of all possible facts. Link
prediction is a task of inferring missing facts based on existing ones. We
propose TuckER, a relatively simple but powerful linear model based on Tucker
decomposition of... | 1 | 0 | 0 | 1 | 0 | 0 |
Taming Non-stationary Bandits: A Bayesian Approach | We consider the multi armed bandit problem in non-stationary environments.
Based on the Bayesian method, we propose a variant of Thompson Sampling which
can be used in both rested and restless bandit scenarios. Applying discounting
to the parameters of prior distribution, we describe a way to systematically
reduce th... | 1 | 0 | 0 | 1 | 0 | 0 |
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization | We propose a new randomized coordinate descent method for a convex
optimization template with broad applications. Our analysis relies on a novel
combination of four ideas applied to the primal-dual gap function: smoothing,
acceleration, homotopy, and coordinate descent with non-uniform sampling. As a
result, our meth... | 0 | 0 | 0 | 1 | 0 | 0 |
Guarantees for Greedy Maximization of Non-submodular Functions with Applications | We investigate the performance of the standard Greedy algorithm for
cardinality constrained maximization of non-submodular nondecreasing set
functions. While there are strong theoretical guarantees on the performance of
Greedy for maximizing submodular functions, there are few guarantees for
non-submodular ones. Howe... | 1 | 0 | 1 | 0 | 0 | 0 |
Affine Metrics and Associated Algebroid Structures: Application to General Relativity | In this paper, algebroid bundle associated to affine metrics provide an
structure for unification of gravity and electromagnetism and, geometrization
of matter.
| 0 | 0 | 1 | 0 | 0 | 0 |
Controllability of temporal networks: An analysis using higher-order networks | The control of complex networks is a significant challenge, especially when
the network topology of the system to be controlled is dynamic. Addressing this
challenge, here we introduce a novel approach which allows exploring the
controllability of temporal networks. Studying six empirical data sets, we
particularly s... | 1 | 1 | 0 | 0 | 0 | 0 |
Mapping momentum-dependent electron-phonon coupling and non-equilibrium phonon dynamics with ultrafast electron diffuse scattering | Despite their fundamental role in determining material properties, detailed
momentum-dependent information on the strength of electron-phonon and
phonon-phonon coupling (EPC and PPC, respectively) across the entire Brillouin
zone (BZ) has proved difficult to obtain. Here we demonstrate that ultrafast
electron diffuse... | 0 | 1 | 0 | 0 | 0 | 0 |
Meridional Circulation Dynamics in a Cyclic Convective Dynamo | Surface observations indicate that the speed of the solar meridional
circulation in the photosphere varies in anti-phase with the solar cycle. The
current explanation for the source of this variation is that inflows into
active regions alter the global surface pattern of the meridional circulation.
When these localiz... | 0 | 1 | 0 | 0 | 0 | 0 |
Bayesian analysis of 210Pb dating | In many studies of environmental change of the past few centuries, 210Pb
dating is used to obtain chronologies for sedimentary sequences. One of the
most commonly used approaches to estimate the ages of depths in a sequence is
to assume a constant rate of supply (CRS) or influx of `unsupported' 210Pb from
the atmosph... | 0 | 0 | 0 | 1 | 0 | 0 |
Analytic continuation with Padé decomposition | The ill-posed analytic continuation problem for Green's functions or
self-energies can be done using the Padé rational polynomial approximation.
However, to extract accurate results from this approximation, high precision
input data of the Matsubara Green's function are needed. The calculation of the
Matsubara Green'... | 0 | 1 | 0 | 0 | 0 | 0 |
Imperative Functional Programs that Explain their Work | Program slicing provides explanations that illustrate how program outputs
were produced from inputs. We build on an approach introduced in prior work by
Perera et al., where dynamic slicing was defined for pure higher-order
functional programs as a Galois connection between lattices of partial inputs
and partial outp... | 1 | 0 | 0 | 0 | 0 | 0 |
Synthetic dimensions in ultracold molecules: quantum strings and membranes | Synthetic dimensions alter one of the most fundamental properties in nature,
the dimension of space. They allow, for example, a real three-dimensional
system to act as effectively four-dimensional. Driven by such possibilities,
synthetic dimensions have been engineered in ongoing experiments with ultracold
matter. We... | 0 | 1 | 0 | 0 | 0 | 0 |
Self-Organization and The Origins of Life: The Managed-Metabolism Hypothesis | The managed-metabolism hypothesis suggests that a cooperation barrier must be
overcome if self-producing chemical organizations are to transition from
non-life to life. This barrier prevents un-managed, self-organizing,
autocatalytic networks of molecular species from individuating into complex,
cooperative organizat... | 0 | 1 | 0 | 0 | 0 | 0 |
Pile-up Reduction, Bayesian Decomposition and Applications of Silicon Drift Detectors at LCLS | Silicon drift detectors (SDDs) revolutionized spectroscopy in fields as
diverse as geology and dentistry. For a subset of experiments at ultra-fast,
x-ray free-electron lasers (FELs), SDDs can make substantial contributions.
Often the unknown spectrum is interesting, carrying science data, or the
background measureme... | 0 | 1 | 0 | 0 | 0 | 0 |
Online Learning to Rank in Stochastic Click Models | Online learning to rank is a core problem in information retrieval and
machine learning. Many provably efficient algorithms have been recently
proposed for this problem in specific click models. The click model is a model
of how the user interacts with a list of documents. Though these results are
significant, their ... | 1 | 0 | 0 | 1 | 0 | 0 |
Transforming Coroutining Logic Programs into Equivalent CHR Programs | We extend a technique called Compiling Control. The technique transforms
coroutining logic programs into logic programs that, when executed under the
standard left-to-right selection rule (and not using any delay features) have
the same computational behavior as the coroutining program. In recent work, we
revised Com... | 1 | 0 | 0 | 0 | 0 | 0 |
Gap and rings carved by vortices in protoplanetary dust | Large-scale vortices in protoplanetary disks are thought to form and survive
for long periods of time. Hence, they can significantly change the global disk
evolution and particularly the distribution of the solid particles embedded in
the gas, possibly explaining asymmetries and dust concentrations recently
observed ... | 0 | 1 | 0 | 0 | 0 | 0 |
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning | This paper introduces a new nonlinear dictionary learning method for
histograms in the probability simplex. The method leverages optimal transport
theory, in the sense that our aim is to reconstruct histograms using so-called
displacement interpolations (a.k.a. Wasserstein barycenters) between dictionary
atoms; such ... | 1 | 0 | 0 | 1 | 0 | 0 |
A Generalization of Smillie's Theorem on Strongly Cooperative Tridiagonal Systems | Smillie (1984) proved an interesting result on the stability of nonlinear,
time-invariant, strongly cooperative, and tridiagonal dynamical systems. This
result has found many applications in models from various fields including
biology, ecology, and chemistry. Smith (1991) has extended Smillie's result and
proved ent... | 1 | 0 | 0 | 0 | 0 | 0 |
Geospatial Semantics | Geospatial semantics is a broad field that involves a variety of research
areas. The term semantics refers to the meaning of things, and is in contrast
with the term syntactics. Accordingly, studies on geospatial semantics usually
focus on understanding the meaning of geographic entities as well as their
counterparts... | 1 | 0 | 0 | 0 | 0 | 0 |
Stability of the sum of two solitary waves for (gDNLS) in the energy space | In this paper, we continue the study in \cite{MiaoTX:DNLS:Stab}. We use the
perturbation argument, modulational analysis and the energy argument in
\cite{MartelMT:Stab:gKdV, MartelMT:Stab:NLS} to show the stability of the sum
of two solitary waves with weak interactions for the generalized derivative
Schrödinger equa... | 0 | 0 | 1 | 0 | 0 | 0 |
A BERT Baseline for the Natural Questions | This technical note describes a new baseline for the Natural Questions. Our
model is based on BERT and reduces the gap between the model F1 scores reported
in the original dataset paper and the human upper bound by 30% and 50% relative
for the long and short answer tasks respectively. This baseline has been
submitted... | 1 | 0 | 0 | 0 | 0 | 0 |
Knowledge Evolution in Physics Research: An Analysis of Bibliographic Coupling Networks | Even as we advance the frontiers of physics knowledge, our understanding of
how this knowledge evolves remains at the descriptive levels of Popper and
Kuhn. Using the APS publications data sets, we ask in this letter how new
knowledge is built upon old knowledge. We do so by constructing year-to-year
bibliographic co... | 1 | 1 | 0 | 0 | 0 | 0 |
On a lower bound for the energy functional on a family of Hamiltonian minimal Lagrangian tori in $\mathbb{C}P^2$ | We study the energy functional on the set of Lagrangian tori in
$\mathbb{C}P^2$ . We prove that the value of the energy functional on a certain
family of Hamiltonian minimal Lagrangian tori in $\mathbb{C}P^2$ is strictly
larger than energy of the Clifford torus.
| 0 | 0 | 1 | 0 | 0 | 0 |
Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks | Viewing the trajectory of a patient as a dynamical system, a recurrent neural
network was developed to learn the course of patient encounters in the
Pediatric Intensive Care Unit (PICU) of a major tertiary care center. Data
extracted from Electronic Medical Records (EMR) of about 12000 patients who
were admitted to t... | 1 | 0 | 1 | 1 | 0 | 0 |
Global Strichartz estimates for the Schrödinger equation with non zero boundary conditions and applications | We consider the Schrödinger equation on a half space in any dimension with
a class of nonhomogeneous boundary conditions including Dirichlet, Neuman and
the so-called transparent boundary conditions. Building upon recent local in
time Strichartz estimates (for Dirichlet boundary conditions), we obtain global
Strichar... | 0 | 0 | 1 | 0 | 0 | 0 |
Structure of $^{20}$Ne states in the resonance $^{16}$O+$α$ elastic scattering | Background
The nuclear structure of the cluster bands in $^{20}$Ne presents a challenge
for different theoretical approaches. It is especially difficult to explain the
broad 0$^+$, 2$^+$ states at 9 MeV excitation energy. Simultaneously, it is
important to obtain more reliable experimental data for these levels in or... | 0 | 1 | 0 | 0 | 0 | 0 |
Terminal-Pairability in Complete Bipartite Graphs | We investigate the terminal-pairibility problem in the case when the base
graph is a complete bipartite graph, and the demand graph is also bipartite
with the same color classes. We improve the lower bound on maximum value of
$\Delta(D)$ which still guarantees that the demand graph $D$ is
terminal-pairable in this se... | 0 | 0 | 1 | 0 | 0 | 0 |
Rate-optimal Meta Learning of Classification Error | Meta learning of optimal classifier error rates allows an experimenter to
empirically estimate the intrinsic ability of any estimator to discriminate
between two populations, circumventing the difficult problem of estimating the
optimal Bayes classifier. To this end we propose a weighted nearest neighbor
(WNN) graph ... | 0 | 0 | 0 | 1 | 0 | 0 |
Fast, Robust, and Versatile Event Detection through HMM Belief State Gradient Measures | Event detection is a critical feature in data-driven systems as it assists
with the identification of nominal and anomalous behavior. Event detection is
increasingly relevant in robotics as robots operate with greater autonomy in
increasingly unstructured environments. In this work, we present an accurate,
robust, fa... | 1 | 0 | 0 | 0 | 0 | 0 |
Geometric features of Vessiot--Guldberg Lie algebras of conformal and Killing vector fields on $\mathbb{R}^2$ | This paper locally classifies finite-dimensional Lie algebras of conformal
and Killing vector fields on $\mathbb{R}^2$ relative to an arbitrary
pseudo-Riemannian metric. Several results about their geometric properties are
detailed, e.g. their invariant distributions and induced symplectic structures.
Findings are il... | 0 | 1 | 0 | 0 | 0 | 0 |
Fermion inter-particle potentials in 5D and a dimensional restriction prescription to 4D | This work sets out to compute and discuss effects of spin, velocity and
dimensionality on inter-particle potentials systematically derived from gauge
field-theoretic models. We investigate the interaction of fermionic particles
by the exchange of a vector field in a parity-preserving description in
five-dimensional $... | 0 | 1 | 0 | 0 | 0 | 0 |
Characterizations of idempotent discrete uninorms | In this paper we provide an axiomatic characterization of the idempotent
discrete uninorms by means of three conditions only: conservativeness,
symmetry, and nondecreasing monotonicity. We also provide an alternative
characterization involving the bisymmetry property. Finally, we provide a
graphical characterization ... | 1 | 0 | 1 | 0 | 0 | 0 |
Constraints on the sum of neutrino masses using cosmological data including the latest extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample | We investigate the constraints on the sum of neutrino masses ($\Sigma m_\nu$)
using the most recent cosmological data, which combines the distance
measurement from baryonic acoustic oscillation in the extended Baryon
Oscillation Spectroscopic Survey DR14 quasar sample with the power spectra of
temperature and polariz... | 0 | 1 | 0 | 0 | 0 | 0 |
The effect of the choice of neural network depth and breadth on the size of its hypothesis space | We show that the number of unique function mappings in a neural network
hypothesis space is inversely proportional to $\prod_lU_l!$, where $U_{l}$ is
the number of neurons in the hidden layer $l$.
| 0 | 0 | 0 | 1 | 0 | 0 |
Fairwashing: the risk of rationalization | Black-box explanation is the problem of explaining how a machine learning
model -- whose internal logic is hidden to the auditor and generally complex --
produces its outcomes. Current approaches for solving this problem include
model explanation, outcome explanation as well as model inspection. While these
technique... | 1 | 0 | 0 | 1 | 0 | 0 |
Volume Dependence of N-Body Bound States | We derive the finite-volume correction to the binding energy of an N-particle
quantum bound state in a cubic periodic volume. Our results are applicable to
bound states with arbitrary composition and total angular momentum, and in any
number of spatial dimensions. The only assumptions are that the interactions
have f... | 0 | 1 | 1 | 0 | 0 | 0 |
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees | Additive models, such as produced by gradient boosting, and full interaction
models, such as classification and regression trees (CART), are widely used
algorithms that have been investigated largely in isolation. We show that these
models exist along a spectrum, revealing never-before-known connections between
these... | 1 | 0 | 0 | 1 | 0 | 0 |
Magnetic field influenced electron-impurity scattering and magnetotransport | We formulate a quasiclassical theory ($\omega_c\tau \lesssim 1$ with
$\omega_c$ as the cyclotron frequency and $\tau$ as the relaxation time) to
study the influence of magnetic field on electron-impurity scattering process
in the two-dimensional electron gas. We introduce a general recipe based on an
abstraction of t... | 0 | 1 | 0 | 0 | 0 | 0 |
Evidence for depletion of heavy silicon isotopes at comet 67P/Churyumov-Gerasimenko | Context. The Rosetta Orbiter Spectrometer for Ion and Neutral Analysis
(ROSINA) was designed to measure the composition of the gas in the coma of
comet 67P/Churyumov-Gerasimenko, the target of the European Space Agency's
Rosetta mission. In addition to the volatiles, ROSINA measured refractories
sputtered off the com... | 0 | 1 | 0 | 0 | 0 | 0 |
Design, Simulation, and Testing of a Flexible Actuated Spine for Quadruped Robots | Walking quadruped robots face challenges in positioning their feet and
lifting their legs during gait cycles over uneven terrain. The robot Laika is
under development as a quadruped with a flexible, actuated spine designed to
assist with foot movement and balance during these gaits. This paper presents
the first set ... | 1 | 0 | 0 | 0 | 0 | 0 |
The landscape of NeuroImage-ing research | As the field of neuroimaging grows, it can be difficult for scientists within
the field to gain and maintain a detailed understanding of its ever-changing
landscape. While collaboration and citation networks highlight important
contributions within the field, the roles of and relations among specific areas
of study c... | 1 | 0 | 0 | 1 | 0 | 0 |
To tune or not to tune the number of trees in random forest? | The number of trees T in the random forest (RF) algorithm for supervised
learning has to be set by the user. It is controversial whether T should simply
be set to the largest computationally manageable value or whether a smaller T
may in some cases be better. While the principle underlying bagging is that
"more trees... | 1 | 0 | 0 | 1 | 0 | 0 |
SPH Modeling of Short-crested Waves | This study investigates short-crested wave breaking over a planar beach by
using the mesh-free Smoothed Particle Hydrodynamics model, GPUSPH. The
short-crested waves are created by generating intersecting wave trains in a
numerical wave basin. We examine the influence of beach slope, incident wave
height, and inciden... | 0 | 1 | 0 | 0 | 0 | 0 |
Tunneling Field-Effect Junctions with WS$_2$ barrier | Transition metal dichalcogenides (TMDCs), with their two-dimensional
structures and sizable bandgaps, are good candidates for barrier materials in
tunneling field-effect transistor (TFET) formed from atomic precision vertical
stacks of graphene and insulating crystals of a few atomic layers in thickness.
We report fi... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological Larkin-Ovchinnikov phase and Majorana zero mode chain in bilayer superconducting topological insulator films | We theoretically study bilayer superconducting topological insulator film, in
which superconductivity exists for both top and bottom surface states. We show
that an in-plane magnetic field can drive the system into Larkin-Ovchinnikov
(LO) phase, where electrons are paired with finite momenta. The LO phase is
topologi... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimization and Analysis of Wireless Powered Multi-antenna Cooperative Systems | In this paper, we consider a three-node cooperative wireless powered
communication system consisting of a multi-antenna hybrid access point (H-AP)
and a single-antenna relay and a single-antenna user. The energy constrained
relay and user first harvest energy in the downlink and then the relay assists
the user using ... | 1 | 0 | 0 | 0 | 0 | 0 |
Asai cube L-functions and the local Langlands conjecture | Let $F$ be a non-archimedean locally compact field. We study a class of
Langlands-Shahidi pairs $({\bf H},{\bf L})$, consisting of a quasi-split
connected reductive group $\bf H$ over $F$ and a Levi subgroup $\bf L$ which is
closely related to a product of restriction of scalars of ${\rm GL}_1$'s or
${\rm GL}_2$'s. W... | 0 | 0 | 1 | 0 | 0 | 0 |
What's in a game? A theory of game models | Game semantics is a rich and successful class of denotational models for
programming languages. Most game models feature a rather intuitive setup, yet
surprisingly difficult proofs of such basic results as associativity of
composition of strategies. We set out to unify these models into a basic
abstract framework for... | 1 | 0 | 0 | 0 | 0 | 0 |
Proposal for the Detection of Magnetic Monopoles in Spin Ice via Nanoscale Magnetometry | We present a proposal for applying nanoscale magnetometry to the search for
magnetic monopoles in the spin ice materials holmium and dysprosium titanate.
Employing Monte Carlo simulations of the dipolar spin ice model, we find that
when cooled to below $1.5\,$K these materials exhibit a sufficiently low
monopole dens... | 0 | 1 | 0 | 0 | 0 | 0 |
Rule-Based Spanish Morphological Analyzer Built From Spell Checking Lexicon | Preprocessing tools for automated text analysis have become more widely
available in major languages, but non-English tools are often still limited in
their functionality. When working with Spanish-language text, researchers can
easily find tools for tokenization and stemming, but may not have the means to
extract mo... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Edge Representations via Low-Rank Asymmetric Projections | We propose a new method for embedding graphs while preserving directed edge
information. Learning such continuous-space vector representations (or
embeddings) of nodes in a graph is an important first step for using network
information (from social networks, user-item graphs, knowledge bases, etc.) in
many machine le... | 1 | 0 | 0 | 1 | 0 | 0 |
Inference, Prediction, and Control of Networked Epidemics | We develop a feedback control method for networked epidemic spreading
processes. In contrast to most prior works which consider mean field, open-loop
control schemes, the present work develops a novel framework for feedback
control of epidemic processes which leverages incomplete observations of the
stochastic epidem... | 0 | 0 | 1 | 0 | 0 | 0 |
The Weisfeiler-Leman algorithm and the diameter of Schreier graphs | We prove that the number of iterations taken by the Weisfeiler-Leman
algorithm for configurations coming from Schreier graphs is closely linked to
the diameter of the graphs themselves: an upper bound is found for general
Schreier graphs, and a lower bound holds for particular cases, such as for
Schreier graphs with ... | 0 | 0 | 1 | 0 | 0 | 0 |
Correlations between primes in short intervals on curves over finite fields | We prove an analogue of the Hardy-Littlewood conjecture on the asymptotic
distribution of prime constellations in the setting of short intervals in
function fields of smooth projective curves over finite fields.
| 0 | 0 | 1 | 0 | 0 | 0 |
Extracting and Exploiting Inherent Sparsity for Efficient IoT Support in 5G: Challenges and Potential Solutions | Besides enabling an enhanced mobile broadband, next generation of mobile
networks (5G) are envisioned for the support of massive connectivity of
heterogeneous Internet of Things (IoT)s. These IoTs are envisioned for a large
number of use-cases including smart cities, environment monitoring, smart
vehicles, etc. Unfor... | 1 | 0 | 0 | 0 | 0 | 0 |
Existence and convexity of local solutions to degenerate hessian equations | In this work, we prove the existence of local convex solution to the
degenerate Hessian equation
| 0 | 0 | 1 | 0 | 0 | 0 |
Superexponential estimates and weighted lower bounds for the square function | We prove the following superexponential distribution inequality: for any
integrable $g$ on $[0,1)^{d}$ with zero average, and any $\lambda>0$ \[ |\{ x
\in [0,1)^{d} \; :\; g \geq\lambda \}| \leq e^{-
\lambda^{2}/(2^{d}\|S(g)\|_{\infty}^{2})}, \] where $S(g)$ denotes the
classical dyadic square function in $[0,1)^{d}$... | 0 | 0 | 1 | 0 | 0 | 0 |
Reframing the S\&P500 Network of Stocks along the \nth{21} Century | Since the beginning of the new millennium, stock markets went through every
state from long-time troughs, trade suspensions to all-time highs. The
literature on asset pricing hence assumes random processes to be underlying the
movement of stock returns. Observed procyclicality and time-varying correlation
of stock re... | 0 | 0 | 0 | 0 | 0 | 1 |
Point-contact spectroscopy of superconducting energy gap in $\rm DyNi_2B_2C$ | The superconducting energy gap in $\rm DyNi_2B_2C$ has been investigated
using a point-contact technique based on the Andreev reflection from a normal
(N)-superconductor (S) boundary, where N is Ag. The observed differential
resistance $dV/dI$ is well described by the Blonder-Tinkham-Klapwijk (BTK)
theory based on th... | 0 | 1 | 0 | 0 | 0 | 0 |
Parameterized Complexity of Safe Set | In this paper we study the problem of finding a small safe set $S$ in a graph
$G$, i.e. a non-empty set of vertices such that no connected component of
$G[S]$ is adjacent to a larger component in $G - S$. We enhance our
understanding of the problem from the viewpoint of parameterized complexity by
showing that (1) th... | 1 | 0 | 0 | 0 | 0 | 0 |
A Matrix Variate Skew-t Distribution | Although there is ample work in the literature dealing with skewness in the
multivariate setting, there is a relative paucity of work in the matrix variate
paradigm. Such work is, for example, useful for modelling three-way data. A
matrix variate skew-t distribution is derived based on a mean-variance matrix
normal m... | 0 | 0 | 1 | 1 | 0 | 0 |
Status Updates Through Multicast Networks | Using age of information as the freshness metric, we examine a multicast
network in which real-time status updates are generated by the source and sent
to a group of $n$ interested receivers. We show that in order to keep the
information freshness at each receiver, the source should terminate the
transmission of the ... | 1 | 0 | 0 | 0 | 0 | 0 |
Extension of Convolutional Neural Network with General Image Processing Kernels | We applied pre-defined kernels also known as filters or masks developed for
image processing to convolution neural network. Instead of letting neural
networks find its own kernels, we used 41 different general-purpose kernels of
blurring, edge detecting, sharpening, discrete cosine transformation, etc. for
the first ... | 1 | 0 | 0 | 1 | 0 | 0 |
Sound event detection using weakly labeled dataset with stacked convolutional and recurrent neural network | This paper proposes a neural network architecture and training scheme to
learn the start and end time of sound events (strong labels) in an audio
recording given just the list of sound events existing in the audio without
time information (weak labels). We achieve this by using a stacked
convolutional and recurrent n... | 1 | 0 | 0 | 0 | 0 | 0 |
Categoricity and Universal Classes | Let $(\mathcal{K} ,\subseteq )$ be a universal class with
$LS(\mathcal{K})=\lambda$ categorical in regular $\kappa >\lambda^+$ with
arbitrarily large models, and let $\mathcal{K}^*$ be the class of all
$\mathcal{A}\in\mathcal{K}_{>\lambda}$ for which there is $\mathcal{B} \in
\mathcal{K}_{\ge\kappa}$ such that $\math... | 0 | 0 | 1 | 0 | 0 | 0 |
Water, High-Altitude Condensates, and Possible Methane Depletion in the Atmosphere of the Warm Super-Neptune WASP-107b | The super-Neptune exoplanet WASP-107b is an exciting target for atmosphere
characterization. It has an unusually large atmospheric scale height and a
small, bright host star, raising the possibility of precise constraints on its
current nature and formation history. We report the first atmospheric study of
WASP-107b,... | 0 | 1 | 0 | 0 | 0 | 0 |
Partial Order on the set of Boolean Regulatory Functions | Logical models have been successfully used to describe regulatory and
signaling networks without requiring quantitative data. However, existing data
is insufficient to adequately define a unique model, rendering the
parametrization of a given model a difficult task.
Here, we focus on the characterization of the set o... | 1 | 0 | 0 | 0 | 1 | 0 |
Scalable solvers for complex electromagnetics problems | In this work, we present scalable balancing domain decomposition by
constraints methods for linear systems arising from arbitrary order edge finite
element discretizations of multi-material and heterogeneous 3D problems. In
order to enforce the continuity across subdomains of the method, we use a
partition of the int... | 1 | 0 | 0 | 0 | 0 | 0 |
A flux-splitting method for hyperbolic-equation system of magnetized electron fluids in quasi-neutral plasmas | A flux-splitting method is proposed for the hyperbolic-equation system (HES)
of magnetized electron fluids in quasi-neutral plasmas. The numerical fluxes
are split into four categories, which are computed by using an upwind method
which incorporates a flux-vector splitting (FVS) and advection upstream
splitting metho... | 0 | 1 | 0 | 0 | 0 | 0 |
TransFlow: Unsupervised Motion Flow by Joint Geometric and Pixel-level Estimation | We address unsupervised optical flow estimation for ego-centric motion. We
argue that optical flow can be cast as a geometrical warping between two
successive video frames and devise a deep architecture to estimate such
transformation in two stages. First, a dense pixel-level flow is computed with
a geometric prior i... | 1 | 0 | 0 | 0 | 0 | 0 |
A General Pipeline for 3D Detection of Vehicles | Autonomous driving requires 3D perception of vehicles and other objects in
the in environment. Much of the current methods support 2D vehicle detection.
This paper proposes a flexible pipeline to adopt any 2D detection network and
fuse it with a 3D point cloud to generate 3D information with minimum changes
of the 2D... | 0 | 0 | 0 | 1 | 0 | 0 |
Search for CII Emission on Cosmological Scales at Redshift Z~2.6 | We present a search for CII emission over cosmological scales at
high-redshifts. The CII line is a prime candidate to be a tracer of star
formation over large-scale structure since it is one of the brightest emission
lines from galaxies. Redshifted CII emission appears in the submillimeter
regime, meaning it could po... | 0 | 1 | 0 | 0 | 0 | 0 |
Ricci flow and diffeomorphism groups of 3-manifolds | We complete the proof of the Generalized Smale Conjecture, apart from the
case of $RP^3$, and give a new proof of Gabai's theorem for hyperbolic
3-manifolds. We use an approach based on Ricci flow through singularities,
which applies uniformly to spherical space forms other than $S^3$ and $RP^3$
and hyperbolic manifo... | 0 | 0 | 1 | 0 | 0 | 0 |
RLlib: Abstractions for Distributed Reinforcement Learning | Reinforcement learning (RL) algorithms involve the deep nesting of highly
irregular computation patterns, each of which typically exhibits opportunities
for distributed computation. We argue for distributing RL components in a
composable way by adapting algorithms for top-down hierarchical control,
thereby encapsulat... | 1 | 0 | 0 | 0 | 0 | 0 |
A Multiscale-Analysis of Stochastic Bistable Reaction-Diffusion Equations | A multiscale analysis of 1D stochastic bistable reaction-diffusion equations
with additive noise is carried out w.r.t. travelling waves within the
variational approach to stochastic partial differential equations. It is shown
with explicit error estimates on appropriate function spaces that up to lower
order w.r.t. t... | 0 | 0 | 1 | 0 | 0 | 0 |
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis | Interpretability has emerged as a crucial aspect of machine learning, aimed
at providing insights into the working of complex neural networks. However,
existing solutions vary vastly based on the nature of the interpretability
task, with each use case requiring substantial time and effort. This paper
introduces MARGI... | 1 | 0 | 0 | 1 | 0 | 0 |
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability | We propose a new technique, Singular Vector Canonical Correlation Analysis
(SVCCA), a tool for quickly comparing two representations in a way that is both
invariant to affine transform (allowing comparison between different layers and
networks) and fast to compute (allowing more comparisons to be calculated than
with... | 1 | 0 | 0 | 1 | 0 | 0 |
Discrete Choice and Rational Inattention: a General Equivalence Result | This paper establishes a general equivalence between discrete choice and
rational inattention models. Matejka and McKay (2015, AER) showed that when
information costs are modelled using the Shannon entropy function, the
resulting choice probabilities in the rational inattention model take the
multinomial logit form. ... | 0 | 0 | 0 | 1 | 0 | 0 |
A Hardy inequality for ultraspherical expansions with an application to the sphere | We prove a Hardy inequality for ultraspherical expansions by using a proper
ground state representation. From this result we deduce some uncertainty
principles for this kind of expansions. Our result also implies a Hardy
inequality on spheres with a potential having a double singularity.
| 0 | 0 | 1 | 0 | 0 | 0 |
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors | Bayesian Neural Networks (BNNs) have recently received increasing attention
for their ability to provide well-calibrated posterior uncertainties. However,
model selection---even choosing the number of nodes---remains an open question.
Recent work has proposed the use of a horseshoe prior over node pre-activations
of ... | 0 | 0 | 0 | 1 | 0 | 0 |
Efficient Reinforcement Learning via Initial Pure Exploration | In several realistic situations, an interactive learning agent can practice
and refine its strategy before going on to be evaluated. For instance, consider
a student preparing for a series of tests. She would typically take a few
practice tests to know which areas she needs to improve upon. Based of the
scores she ob... | 1 | 0 | 0 | 1 | 0 | 0 |
Stochastic Evolution of Augmented Born--Infeld Equations | This paper compares the results of applying a recently developed method of
stochastic uncertainty quantification designed for fluid dynamics to the
Born-Infeld model of nonlinear electromagnetism. The similarities in the
results are striking. Namely, the introduction of Stratonovich cylindrical
noise into each of the... | 0 | 1 | 1 | 0 | 0 | 0 |
T-matrix evaluation of acoustic radiation forces on nonspherical objects in Bessel beams | Acoustical radiation force (ARF) induced by a single Bessel beam with
arbitrary order and location on a nonspherical shape is studied with the
emphasis on the physical mechanism and parameter conditions of negative
(pulling) forces. Numerical experiments are conducted to verify the T-matrix
method (TMM) for axial ARF... | 0 | 1 | 0 | 0 | 0 | 0 |
On the commutative center of Moufang loops | We construct two infinite series of Moufang loops of exponent $3$ whose
commutative center (i.e. the set of elements that commute with all elements of
the loop) is not a normal subloop. In particular, we obtain examples of such
loops of orders $3^8$ and $3^{11}$ one of which can be defined as the Moufang
triplication... | 0 | 0 | 1 | 0 | 0 | 0 |
The Kontsevich tetrahedral flow in 2D: a toy model | In the paper "Formality conjecture" (1996) Kontsevich designed a universal
flow $\dot{\mathcal{P}}=\mathcal{Q}_{a:b}(\mathcal{P})=a\Gamma_{1}+b\Gamma_{2}$
on the spaces of Poisson structures $\mathcal{P}$ on all affine manifolds of
dimension $n \geqslant 2$. We prove a claim from $\textit{loc. cit.}$ stating
that if ... | 0 | 0 | 1 | 0 | 0 | 0 |
Twin Learning for Similarity and Clustering: A Unified Kernel Approach | Many similarity-based clustering methods work in two separate steps including
similarity matrix computation and subsequent spectral clustering. However,
similarity measurement is challenging because it is usually impacted by many
factors, e.g., the choice of similarity metric, neighborhood size, scale of
data, noise ... | 1 | 0 | 0 | 1 | 0 | 0 |
Big Data Analysis Using Shrinkage Strategies | In this paper, we apply shrinkage strategies to estimate regression
coefficients efficiently for the high-dimensional multiple regression model,
where the number of samples is smaller than the number of predictors. We assume
in the sparse linear model some of the predictors have very weak influence on
the response of... | 0 | 0 | 0 | 1 | 0 | 0 |
Interpreter fr topologists | Let M be a transitive model of set theory. There is a canonical
interpretation functor between the category of regular Hausdorff, continuous
open images of Cech-complete spaces of M and the same category in V, preserving
many concepts of topology, functional analysis, and dynamics. The functor can
be further canonica... | 0 | 0 | 1 | 0 | 0 | 0 |
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks | We propose a parallel-data-free voice-conversion (VC) method that can learn a
mapping from source to target speech without relying on parallel data. The
proposed method is general purpose, high quality, and parallel-data free and
works without any extra data, modules, or alignment procedure. It also avoids
over-smoot... | 1 | 0 | 0 | 1 | 0 | 0 |
Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDA | Least-squares models such as linear regression and Linear Discriminant
Analysis (LDA) are amongst the most popular statistical learning techniques.
However, since their computation time increases cubically with the number of
features, they are inefficient in high-dimensional neuroimaging datasets.
Fortunately, for k-... | 0 | 0 | 0 | 1 | 0 | 0 |
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