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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A Compositional Coalgebraic Semantics of Strategic Games | We provide a compositional coalgebraic semantics for strategic games. In our
framework, like in the semantics of functional programming languages,
coalgebras represent the observable behaviour of systems derived from the
behaviour of the parts over an unobservable state space. We use coalgebras to
describe and progra... | 1 | 0 | 0 | 0 | 0 | 0 |
Informed Sampling for Asymptotically Optimal Path Planning (Consolidated Version) | Anytime almost-surely asymptotically optimal planners, such as RRT*,
incrementally find paths to every state in the search domain. This is
inefficient once an initial solution is found as then only states that can
provide a better solution need to be considered. Exact knowledge of these
states requires solving the pr... | 1 | 0 | 0 | 0 | 0 | 0 |
Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation | We propose a novel approach to 3D human pose estimation from a single depth
map. Recently, convolutional neural network (CNN) has become a powerful
paradigm in computer vision. Many of computer vision tasks have benefited from
CNNs, however, the conventional approach to directly regress 3D body joint
locations from a... | 1 | 0 | 0 | 0 | 0 | 0 |
Automated design of collective variables using supervised machine learning | Selection of appropriate collective variables for enhancing sampling of
molecular simulations remains an unsolved problem in computational biophysics.
In particular, picking initial collective variables (CVs) is particularly
challenging in higher dimensions. Which atomic coordinates or transforms there
of from a list... | 0 | 0 | 0 | 1 | 1 | 0 |
Berry-Esseen Theorem and Quantitative homogenization for the Random Conductance Model with degenerate Conductances | We study the random conductance model on the lattice $\mathbb{Z}^d$, i.e. we
consider a linear, finite-difference, divergence-form operator with random
coefficients and the associated random walk under random conductances. We allow
the conductances to be unbounded and degenerate elliptic, but they need to
satisfy a s... | 0 | 0 | 1 | 0 | 0 | 0 |
Detecting Multiple Communities Using Quantum Annealing on the D-Wave System | A very important problem in combinatorial optimization is partitioning a
network into communities of densely connected nodes; where the connectivity
between nodes inside a particular community is large compared to the
connectivity between nodes belonging to different ones. This problem is known
as community detection... | 1 | 0 | 0 | 0 | 0 | 0 |
Evaluating Feature Importance Estimates | Estimating the influence of a given feature to a model prediction is
challenging. We introduce ROAR, RemOve And Retrain, a benchmark to evaluate the
accuracy of interpretability methods that estimate input feature importance in
deep neural networks. We remove a fraction of input features deemed to be most
important a... | 0 | 0 | 0 | 1 | 0 | 0 |
Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control | For large-scale industrial processes under closed-loop control, process
dynamics directly resulting from control action are typical characteristics and
may show different behaviors between real faults and normal changes of
operating conditions. However, conventional distributed monitoring approaches
do not consider t... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning to compress and search visual data in large-scale systems | The problem of high-dimensional and large-scale representation of visual data
is addressed from an unsupervised learning perspective. The emphasis is put on
discrete representations, where the description length can be measured in bits
and hence the model capacity can be controlled. The algorithmic infrastructure
is ... | 1 | 0 | 0 | 1 | 0 | 0 |
Simple Round Compression for Parallel Vertex Cover | Recently, Czumaj et.al. (arXiv 2017) presented a parallel (almost)
$2$-approximation algorithm for the maximum matching problem in only
$O({(\log\log{n})^2})$ rounds of the massive parallel computation (MPC)
framework, when the memory per machine is $O(n)$. The main approach in their
work is a way of compressing $O(\... | 1 | 0 | 0 | 0 | 0 | 0 |
ELDAR, a new method to identify AGN in multi-filter surveys: the ALHAMBRA test-case | We present ELDAR, a new method that exploits the potential of medium- and
narrow-band filter surveys to securely identify active galactic nuclei (AGN)
and determine their redshifts. Our methodology improves on traditional
approaches by looking for AGN emission lines expected to be identified against
the continuum, th... | 0 | 1 | 0 | 0 | 0 | 0 |
Identification of multiple hard X-ray sources in solar flares: A Bayesian analysis of the February 20 2002 event | The hard X-ray emission in a solar flare is typically characterized by a
number of discrete sources, each with its own spectral, temporal, and spatial
variability. Establishing the relationship amongst these sources is critical to
determine the role of each in the energy release and transport processes that
occur wit... | 0 | 0 | 0 | 1 | 0 | 0 |
A General Framework for Robust Interactive Learning | We propose a general framework for interactively learning models, such as
(binary or non-binary) classifiers, orderings/rankings of items, or clusterings
of data points. Our framework is based on a generalization of Angluin's
equivalence query model and Littlestone's online learning model: in each
iteration, the algo... | 1 | 0 | 0 | 0 | 0 | 0 |
Predicting Gravitational Lensing by Stellar Remnants | Gravitational lensing provides a means to measure mass that does not rely on
detecting and analysing light from the lens itself. Compact objects are ideal
gravitational lenses, because they have relatively large masses and are dim. In
this paper we describe the prospects for predicting lensing events generated by
the... | 0 | 1 | 0 | 0 | 0 | 0 |
Weak separation properties for closed subgroups of locally compact groups | Three separation properties for a closed subgroup $H$ of a locally compact
group $G$ are studied: (1) the existence of a bounded approximate indicator for
$H$, (2) the existence of a completely bounded invariant projection of
$VN\left(G\right)$ onto $VN_{H}\left(G\right)$, and (3) the approximability of
the character... | 0 | 0 | 1 | 0 | 0 | 0 |
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics | Machine learning (ML) is increasingly deployed in real world contexts,
supplying actionable insights and forming the basis of automated
decision-making systems. While issues resulting from biases pre-existing in
training data have been at the center of the fairness debate, these systems are
also affected by technical... | 1 | 0 | 0 | 1 | 0 | 0 |
Solution to the relaxation problem for a gas with a distribution function dependent on the velocity modulus | The paper presents a solution to the Boltzmann kinetic equation based on the
construction of its discrete conservative model. Discrete analogue of the
collision integral is presented as a contraction of a tensor, which is
independent from the initial distribution function, colliding with a tensor
composed of medium d... | 0 | 1 | 0 | 0 | 0 | 0 |
Robust Regression for Automatic Fusion Plasma Analysis based on Generative Modeling | The first step to realize automatic experimental data analysis for fusion
plasma experiments is fitting noisy data of temperature and density spatial
profiles, which are obtained routinely. However, it has been difficult to
construct algorithms that fit all the data without over- and under-fitting. In
this paper, we ... | 0 | 0 | 0 | 1 | 0 | 0 |
Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration | This article expands on research that has been done to develop a recurrent
neural network (RNN) capable of predicting aircraft engine vibrations using
long short-term memory (LSTM) neurons. LSTM RNNs can provide a more
generalizable and robust method for prediction over analytical calculations of
engine vibration, as... | 1 | 0 | 0 | 0 | 0 | 0 |
PhyShare: Sharing Physical Interaction in Virtual Reality | We present PhyShare, a new haptic user interface based on actuated robots.
Virtual reality has recently been gaining wide adoption, and an effective
haptic feedback in these scenarios can strongly support user's sensory in
bridging virtual and physical world. Since participants do not directly observe
these robotic p... | 1 | 0 | 0 | 0 | 0 | 0 |
Kneser ranks of random graphs and minimum difference representations | Every graph $G=(V,E)$ is an induced subgraph of some Kneser graph of rank
$k$, i.e., there is an assignment of (distinct) $k$-sets $v \mapsto A_v$ to the
vertices $v\in V$ such that $A_u$ and $A_v$ are disjoint if and only if $uv\in
E$. The smallest such $k$ is called the Kneser rank of $G$ and denoted by
$f_{\rm Kne... | 0 | 0 | 1 | 0 | 0 | 0 |
Visualizing spreading phenomena on complex networks | Graph drawings are useful tools for exploring the structure and dynamics of
data that can be represented by pair-wise relationships among a set of objects.
Typical real-world social, biological or technological networks exhibit high
complexity resulting from a large number and broad heterogeneity of objects and
relat... | 1 | 0 | 0 | 0 | 0 | 0 |
In silico evolution of signaling networks using rule-based models: bistable response dynamics | One of the ultimate goals in biology is to understand the design principles
of biological systems. Such principles, if they exist, can help us better
understand complex, natural biological systems and guide the engineering of de
novo ones. Towards deciphering design principles, in silico evolution of
biological syste... | 0 | 0 | 0 | 0 | 1 | 0 |
Deep Recurrent Neural Networks for seizure detection and early seizure detection systems | Epilepsy is common neurological diseases, affecting about 0.6-0.8 % of world
population. Epileptic patients suffer from chronic unprovoked seizures, which
can result in broad spectrum of debilitating medical and social consequences.
Since seizures, in general, occur infrequently and are unpredictable, automated
seizu... | 1 | 0 | 0 | 0 | 0 | 0 |
QUICKAR: Automatic Query Reformulation for Concept Location using Crowdsourced Knowledge | During maintenance, software developers deal with numerous change requests
made by the users of a software system. Studies show that the developers find
it challenging to select appropriate search terms from a change request during
concept location. In this paper, we propose a novel technique--QUICKAR--that
automatic... | 1 | 0 | 0 | 0 | 0 | 0 |
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation | We consider the weighted belief-propagation (WBP) decoder recently proposed
by Nachmani et al. where different weights are introduced for each Tanner graph
edge and optimized using machine learning techniques. Our focus is on
simple-scaling models that use the same weights across certain edges to reduce
the storage a... | 1 | 0 | 0 | 1 | 0 | 0 |
Thick-medium model of transverse pattern formation in optically excited cold two-level atoms with a feedback mirror | We study a pattern forming instability in a laser driven optically thick
cloud of cold two-level atoms with a planar feedback mirror. A theoretical
model is developed, enabling a full analysis of transverse patterns in a medium
with saturable nonlinearity, taking into account diffraction within the medium,
and both t... | 0 | 1 | 0 | 0 | 0 | 0 |
A reinvestigation of the giant Rashba-split states on Bi-covered Si(111) | We study the electronic and spin structures of the giant Rashba-split surface
states of the Bi/Si(111)-($\sqrt{3} \times \sqrt{3}$)R30 trimer phase by means
of spin- and angle-resolved photoelectron spectroscopy (spin-ARPES). Supported
by tight-binding calculations of the surface state dispersion and spin
orientation... | 0 | 1 | 0 | 0 | 0 | 0 |
Performance Evaluation of Spectrum Mobility in Multi-homed Mobile IPv6 Cognitive Radio Cellular Networks | Technological developments alongside VLSI achievements enable mobile devices
to be equipped with multiple radio interfaces which is known as multihoming. On
the other hand, the combination of various wireless access technologies, known
as Next Generation Wireless Networks (NGWNs) has been introduced to provide
contin... | 1 | 0 | 0 | 0 | 0 | 0 |
Tunable Quantum Criticality and Super-ballistic Transport in a `Charge' Kondo Circuit | Quantum phase transitions are ubiquitous in many exotic behaviors of
strongly-correlated materials. However the microscopic complexity impedes their
quantitative understanding. Here, we observe thoroughly and comprehend the rich
strongly-correlated physics in two profoundly dissimilar regimes of quantum
criticality. ... | 0 | 1 | 0 | 0 | 0 | 0 |
Exploring Cosmic Origins with CORE: Survey requirements and mission design | Future observations of cosmic microwave background (CMB) polarisation have
the potential to answer some of the most fundamental questions of modern
physics and cosmology. In this paper, we list the requirements for a future CMB
polarisation survey addressing these scientific objectives, and discuss the
design drivers... | 0 | 1 | 0 | 0 | 0 | 0 |
Influence of material parameters on the performance of niobium based superconducting RF cavities | A detailed thermal analysis of a Niobium (Nb) based superconducting radio
frequency (SRF) cavity in a liquid helium bath is presented, taking into
account the temperature and magnetic field dependence of the surface resistance
and thermal conductivity in the superconducting state of the starting Nb
material (for SRF ... | 0 | 1 | 0 | 0 | 0 | 0 |
Shear Viscosity of Uniform Fermi Gases with Population Imbalance | The shear viscosity plays an important role in studies of transport phenomena
in ultracold Fermi gases and serves as a diagnostic of various microscopic
theories. Due to the complicated phase structures of population-imbalanced
Fermi gases, past works mainly focus on unpolarized Fermi gases. Here we
investigate the s... | 0 | 1 | 0 | 0 | 0 | 0 |
Equivalence of Intuitionistic Inductive Definitions and Intuitionistic Cyclic Proofs under Arithmetic | A cyclic proof system gives us another way of representing inductive
definitions and efficient proof search. In 2011 Brotherston and Simpson
conjectured the equivalence between the provability of the classical cyclic
proof system and that of the classical system of Martin-Lof's inductive
definitions.
This paper studi... | 1 | 0 | 1 | 0 | 0 | 0 |
Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent | In this paper, we revisit the recently established theoretical guarantees for
the convergence of the Langevin Monte Carlo algorithm of sampling from a smooth
and (strongly) log-concave density. We improve the existing results when the
convergence is measured in the Wasserstein distance and provide further
insights on... | 0 | 0 | 1 | 1 | 0 | 0 |
Probing Spatial Locality in Ionic Liquids with the Grand Canonical Adaptive Resolution Molecular Dynamics Technique | We employ the Grand Canonical Adaptive Resolution Molecular Dynamics
Technique (GC-AdResS) to test the spatial locality of the 1-ethyl 3-methyl
imidazolium chloride liquid. In GC-AdResS atomistic details are kept only in an
open sub-region of the system while the environment is treated at
coarse-grained level, thus i... | 0 | 1 | 0 | 0 | 0 | 0 |
Towards automation of data quality system for CERN CMS experiment | Daily operation of a large-scale experiment is a challenging task,
particularly from perspectives of routine monitoring of quality for data being
taken. We describe an approach that uses Machine Learning for the automated
system to monitor data quality, which is based on partial use of data qualified
manually by dete... | 1 | 0 | 0 | 0 | 0 | 0 |
Solving a non-linear model of HIV infection for CD4+T cells by combining Laplace transformation and Homotopy analysis | The aim of this paper is to find the approximate solution of HIV infection
model of CD4+T cells. For this reason, the homotopy analysis transform method
(HATM) is applied. The presented method is combination of traditional homotopy
analysis method (HAM) and the Laplace transformation. The convergence of
presented met... | 0 | 0 | 0 | 0 | 1 | 0 |
On Store Languages of Language Acceptors | It is well known that the "store language" of every pushdown automaton -- the
set of store configurations (state and stack contents) that can appear as an
intermediate step in accepting computations -- is a regular language. Here many
models of language acceptors with various data structures are examined, along
with ... | 1 | 0 | 0 | 0 | 0 | 0 |
Exchange constants in molecule-based magnets derived from density functional methods | Cu(pyz)(NO3)2 is a quasi one-dimensional molecular antiferromagnet that
exhibits three dimensional long-range magnetic order below TN=110 mK due to the
presence of weak inter-chain exchange couplings. Here we compare calculations
of the three largest exchange coupling constants in this system using two
techniques bas... | 0 | 1 | 0 | 0 | 0 | 0 |
An Extended Relevance Model for Session Search | The session search task aims at best serving the user's information need
given her previous search behavior during the session. We propose an extended
relevance model that captures the user's dynamic information need in the
session. Our relevance modelling approach is directly driven by the user's
query reformulation... | 1 | 0 | 0 | 0 | 0 | 0 |
Hierarchical Graph Representation Learning with Differentiable Pooling | Recently, graph neural networks (GNNs) have revolutionized the field of graph
representation learning through effectively learned node embeddings, and
achieved state-of-the-art results in tasks such as node classification and link
prediction. However, current GNN methods are inherently flat and do not learn
hierarchi... | 1 | 0 | 0 | 1 | 0 | 0 |
Ranking and Cooperation in Real-World Complex Networks | People participate and activate in online social networks and thus tremendous
amount of network data is generated; data regarding their interactions,
interests and activities. Some people search for specific questions through
online social platforms such as forums and they may receive a suitable response
via experts.... | 1 | 0 | 0 | 0 | 0 | 0 |
Remarks on defective Fano manifolds | This note continues our previous work on special secant defective
(specifically, conic connected and local quadratic entry locus) and dual
defective manifolds. These are now well understood, except for the prime Fano
ones. Here we add a few remarks on this case, completing the results in our
papers \cite{LQEL I}, \ci... | 0 | 0 | 1 | 0 | 0 | 0 |
Precision of the ENDGame: Mixed-precision arithmetic in the iterative solver of the Unified Model | The Met Office's weather and climate simulation code the Unified Model is
used for both operational Numerical Weather Prediction and Climate modelling.
The computational performance of the model running on parallel supercomputers
is a key consideration. A Krylov sub-space solver is employed to solve the
equations of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Intra-Cluster Autonomous Coverage Optimization For Dense LTE-A Networks | Self Organizing Networks (SONs) are considered as vital deployments towards
upcoming dense cellular networks. From a mobile carrier point of view,
continuous coverage optimization is critical for better user perceptions. The
majority of SON contributions introduce novel algorithms that optimize specific
performance m... | 1 | 0 | 0 | 0 | 0 | 0 |
Two-dimensional topological nodal line semimetal in layered $X_2Y$ ($X$ = Ca, Sr, and Ba; $Y$ = As, Sb, and Bi) | In topological semimetals the Dirac points can form zero-dimensional and
one-dimensional manifolds, as predicted for Dirac/Weyl semimetals and
topological nodal line semimetals, respectively. Here, based on
first-principles calculations, we predict a topological nodal line semimetal
phase in the two-dimensional compo... | 0 | 1 | 0 | 0 | 0 | 0 |
A Real-Valued Modal Logic | A many-valued modal logic is introduced that combines the usual Kripke frame
semantics of the modal logic K with connectives interpreted locally at worlds
by lattice and group operations over the real numbers. A labelled tableau
system is provided and a coNEXPTIME upper bound obtained for checking validity
in the log... | 1 | 0 | 0 | 0 | 0 | 0 |
Embedded tori with prescribed mean curvature | We construct a sequence of compact, oriented, embedded, two-dimensional
surfaces of genus one into Euclidean 3-space with prescribed, almost constant,
mean curvature of the form $H(X)=1+{A}{|X|^{-\gamma}}$ for $|X|$ large, when
$A<0$ and $\gamma\in(0,2)$. Such surfaces are close to sections of unduloids
with small ne... | 0 | 0 | 1 | 0 | 0 | 0 |
On the reducibility of induced representations for classical p-adic groups and related affine Hecke algebras | Let $\pi $ be an irreducible smooth complex representation of a general
linear $p$-adic group and let $\sigma $ be an irreducible complex supercuspidal
representation of a classical $p$-adic group of a given type, so that
$\pi\otimes\sigma $ is a representation of a standard Levi subgroup of a
$p$-adic classical grou... | 0 | 0 | 1 | 0 | 0 | 0 |
On derivations with respect to finite sets of smooth functions | The purpose of this paper is to show that functions that derivate the
two-variable product function and one of the exponential, trigonometric or
hyperbolic functions are also standard derivations. The more general problem
considered is to describe finite sets of differentiable functions such that
derivations with res... | 0 | 0 | 1 | 0 | 0 | 0 |
A new magnetic phase in the nickelate perovskite TlNiO$_3$ | The RNiO$_3$ perovskites are known to order antiferromagnetically below a
material-dependent Néel temperature $T_\text{N}$. We report experimental
evidence indicating the existence of a second magnetically-ordered phase in
TlNiO$_3$ above $T_\text{N} = 104$ K, obtained using nuclear magnetic resonance
and muon spin r... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Inverse of Forward Adjacency Matrix | During routine state space circuit analysis of an arbitrarily connected set
of nodes representing a lossless LC network, a matrix was formed that was
observed to implicitly capture connectivity of the nodes in a graph similar to
the conventional incidence matrix, but in a slightly different manner. This
matrix has on... | 1 | 0 | 0 | 0 | 0 | 0 |
Constructing and Understanding New and Old Scales on Slide Rules | We discuss the practical problems arising when constructing any (new or old)
scales on slide rules, i.e. realizing the theory in the practice. This might
help anyone in planning and realizing (mainly the magnitude and labeling of)
new scales on slide rules in the future. In Sections 1-7 we deal with technical
problem... | 0 | 0 | 1 | 0 | 0 | 0 |
Non-compact subsets of the Zariski space of an integral domain | Let $V$ be a minimal valuation overring of an integral domain $D$ and let
$\mathrm{Zar}(D)$ be the Zariski space of the valuation overrings of $D$.
Starting from a result in the theory of semistar operations, we prove a
criterion under which the set $\mathrm{Zar}(D)\setminus\{V\}$ is not compact.
We then use it to pr... | 0 | 0 | 1 | 0 | 0 | 0 |
Finite temperature Green's function approach for excited state and thermodynamic properties of cool to warm dense matter | We present a finite-temperature extension of the retarded cumulant Green's
function for calculations of exited-state and thermodynamic properties of
electronic systems. The method incorporates a cumulant to leading order in the
screened Coulomb interaction $W$ and improves excited state properties compared
to the $GW... | 0 | 1 | 0 | 0 | 0 | 0 |
Geometric Embedding of Path and Cycle Graphs in Pseudo-convex Polygons | Given a graph $ G $ with $ n $ vertices and a set $ S $ of $ n $ points in
the plane, a point-set embedding of $ G $ on $ S $ is a planar drawing such
that each vertex of $ G $ is mapped to a distinct point of $ S $. A
straight-line point-set embedding is a point-set embedding with no edge bends
or curves. The point-... | 1 | 0 | 0 | 0 | 0 | 0 |
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification | Despite significant recent progress in the area of Brain-Computer Interface,
there are numerous shortcomings associated with collecting
Electroencephalography (EEG) signals in real-world environments. These include,
but are not limited to, subject and session data variance, long and arduous
calibration processes and ... | 0 | 0 | 0 | 0 | 1 | 0 |
An FPTAS for the parametric knapsack problem | In this paper, we investigate the parametric knapsack problem, in which the
item profits are affine functions depending on a real-valued parameter. The aim
is to provide a solution for all values of the parameter. It is well-known that
any exact algorithm for the problem may need to output an exponential number of
kn... | 1 | 0 | 1 | 0 | 0 | 0 |
Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics | Dozens of new models on fixation prediction are published every year and
compared on open benchmarks such as MIT300 and LSUN. However, progress in the
field can be difficult to judge because models are compared using a variety of
inconsistent metrics. Here we show that no single saliency map can perform well
under al... | 1 | 0 | 0 | 1 | 0 | 0 |
Distributed Framework for Optimal Demand Distribution in Self-Balancing Microgrid | This study focusses on self-balancing microgrids to smartly utilize and
prevent overdrawing of available power capacity of the grid. A distributed
framework for automated distribution of optimal power demand is proposed, where
all building in a microgrid dynamically and simultaneously adjusts their own
power consumpt... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast, precise, and widely tunable frequency control of an optical parametric oscillator referenced to a frequency comb | Optical frequency combs (OFC) provide a convenient reference for the
frequency stabilization of continuous-wave lasers. We demonstrate a frequency
control method relying on tracking over a wide range and stabilizing the beat
note between the laser and the OFC. The approach combines fast frequency ramps
on a milliseco... | 0 | 1 | 0 | 0 | 0 | 0 |
Compact-Like Operators in Lattice-Normed Spaces | A linear operator $T$ between two lattice-normed spaces is said to be
$p$-compact if, for any $p$-bounded net $x_\alpha$, the net $Tx_\alpha$ has a
$p$-convergent subnet. $p$-Compact operators generalize several known classes
of operators such as compact, weakly compact, order weakly compact,
$AM$-compact operators, ... | 0 | 0 | 1 | 0 | 0 | 0 |
Near-infrared spectroscopy of 5 ultra-massive galaxies at 1.7 < z < 2.7 | We present the results of a pilot near-infrared (NIR) spectroscopic campaign
of five very massive galaxies ($\log(\text{M}_\star/\text{M}_\odot)>11.45$) in
the range of $1.7<z<2.7$. We measure an absorption feature redshift for one
galaxy at $z_\text{spec}=2.000\pm0.006$. For the remaining galaxies, we combine
the ph... | 0 | 1 | 0 | 0 | 0 | 0 |
A hybrid deep learning approach for medical relation extraction | Mining relationships between treatment(s) and medical problem(s) is vital in
the biomedical domain. This helps in various applications, such as decision
support system, safety surveillance, and new treatment discovery. We propose a
deep learning approach that utilizes both word level and sentence-level
representation... | 0 | 0 | 0 | 1 | 0 | 0 |
Performance Optimization of Network Coding Based Communication and Reliable Storage in Internet of Things | Internet or things (IoT) is changing our daily life rapidly. Although new
technologies are emerging everyday and expanding their influence in this
rapidly growing area, many classic theories can still find their places. In
this paper, we study the important applications of the classic network coding
theory in two imp... | 1 | 0 | 0 | 0 | 0 | 0 |
Time-dependent probability density functions and information geometry in stochastic logistic and Gompertz models | A probabilistic description is essential for understanding growth processes
far from equilibrium. In this paper, we compute time-dependent Probability
Density Functions (PDFs) in order to investigate stochastic logistic and
Gompertz models, which are two of the most popular growth models. We consider
different types ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Local-Search Algorithm for Steiner Forest | In the Steiner Forest problem, we are given a graph and a collection of
source-sink pairs, and the goal is to find a subgraph of minimum total length
such that all pairs are connected. The problem is APX-Hard and can be
2-approximated by, e.g., the elegant primal-dual algorithm of Agrawal, Klein,
and Ravi from 1995.
... | 1 | 0 | 0 | 0 | 0 | 0 |
Fundamental bounds on MIMO antennas | Antenna current optimization is often used to analyze the optimal performance
of antennas. Antenna performance can be quantified in e.g., minimum Q-factor
and efficiency. The performance of MIMO antennas is more involved and, in
general, a single parameter is not sufficient to quantify it. Here, the
capacity of an id... | 0 | 1 | 1 | 0 | 0 | 0 |
DeepProteomics: Protein family classification using Shallow and Deep Networks | The knowledge regarding the function of proteins is necessary as it gives a
clear picture of biological processes. Nevertheless, there are many protein
sequences found and added to the databases but lacks functional annotation. The
laboratory experiments take a considerable amount of time for annotation of the
sequen... | 0 | 0 | 0 | 1 | 0 | 0 |
Designing Deterministic Polynomial-Space Algorithms by Color-Coding Multivariate Polynomials | In recent years, several powerful techniques have been developed to design
{\em randomized} polynomial-space parameterized algorithms. In this paper, we
introduce an enhancement of color coding to design deterministic
polynomial-space parameterized algorithms. Our approach aims at reducing the
number of random choice... | 1 | 0 | 0 | 0 | 0 | 0 |
String Attractors | Let $S$ be a string of length $n$. In this paper we introduce the notion of
\emph{string attractor}: a subset of the string's positions $[1,n]$ such that
every distinct substring of $S$ has an occurrence crossing one of the
attractor's elements. We first show that the minimum attractor's size yields
upper-bounds to t... | 1 | 0 | 0 | 0 | 0 | 0 |
Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review | Purpose of review: This paper presents a review of the current state of the
art in remote sensing based monitoring of forest disturbances and forest
degradation from optical Earth Observation data. Part one comprises an overview
of currently available optical remote sensing sensors, which can be used for
forest distu... | 1 | 0 | 0 | 0 | 0 | 0 |
Testing for Global Network Structure Using Small Subgraph Statistics | We study the problem of testing for community structure in networks using
relations between the observed frequencies of small subgraphs. We propose a
simple test for the existence of communities based only on the frequencies of
three-node subgraphs. The test statistic is shown to be asymptotically normal
under a null... | 0 | 0 | 1 | 1 | 0 | 0 |
A new method of correcting radial velocity time series for inhomogeneous convection | Magnetic activity strongly impacts stellar RVs and the search for small
planets. We showed previously that in the solar case it induces RV variations
with an amplitude over the cycle on the order of 8 m/s, with signals on short
and long timescales. The major component is the inhibition of the convective
blueshift due... | 0 | 1 | 0 | 0 | 0 | 0 |
Differential Testing for Variational Analyses: Experience from Developing KConfigReader | Differential testing to solve the oracle problem has been applied in many
scenarios where multiple supposedly equivalent implementations exist, such as
multiple implementations of a C compiler. If the multiple systems disagree on
the output for a given test input, we have likely discovered a bug without
every having ... | 1 | 0 | 0 | 0 | 0 | 0 |
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction | Explicitly or implicitly, most of dimensionality reduction methods need to
determine which samples are neighbors and the similarity between the neighbors
in the original highdimensional space. The projection matrix is then learned on
the assumption that the neighborhood information (e.g., the similarity) is
known and... | 0 | 0 | 0 | 1 | 0 | 0 |
Joint Multichannel Deconvolution and Blind Source Separation | Blind Source Separation (BSS) is a challenging matrix factorization problem
that plays a central role in multichannel imaging science. In a large number of
applications, such as astrophysics, current unmixing methods are limited since
real-world mixtures are generally affected by extra instrumental effects like
blurr... | 1 | 0 | 0 | 1 | 0 | 0 |
Bimodule monomorphism categories and RSS equivalences via cotilting modules | The monomorphism category $\mathscr{S}(A, M, B)$ induced by a bimodule
$_AM_B$ is the subcategory of $\Lambda$-mod consisting of
$\left[\begin{smallmatrix} X\\ Y\end{smallmatrix}\right]_{\phi}$ such that
$\phi: M\otimes_B Y\rightarrow X$ is a monic $A$-map, where
$\Lambda=\left[\begin{smallmatrix} A&M\\0&B \end{small... | 0 | 0 | 1 | 0 | 0 | 0 |
The Vanishing viscosity limit for some symmetric flows | The focus of this paper is on the analysis of the boundary layer and the
associated vanishing viscosity limit for two classes of flows with symmetry,
namely, Plane-Parallel Channel Flows and Parallel Pipe Flows. We construct
explicit boundary layer correctors, which approximate the difference between
the Navier-Stoke... | 0 | 0 | 1 | 0 | 0 | 0 |
Anisotropy of transport in bulk Rashba metals | The recent experimental discovery of three-dimensional (3D) materials hosting
a strong Rashba spin-orbit coupling calls for the theoretical investigation of
their transport properties. Here we study the zero temperature dc conductivity
of a 3D Rashba metal in the presence of static diluted impurities. We show
that, a... | 0 | 1 | 0 | 0 | 0 | 0 |
A quick guide for student-driven community genome annotation | High quality gene models are necessary to expand the molecular and genetic
tools available for a target organism, but these are available for only a
handful of model organisms that have undergone extensive curation and
experimental validation over the course of many years. The majority of gene
models present in biolo... | 0 | 0 | 0 | 0 | 1 | 0 |
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data | In the past few years, Convolutional Neural Networks (CNNs) have been
achieving state-of-the-art performance on a variety of problems. Many companies
employ resources and money to generate these models and provide them as an API,
therefore it is in their best interest to protect them, i.e., to avoid that
someone else... | 0 | 0 | 0 | 1 | 0 | 0 |
Medoids in almost linear time via multi-armed bandits | Computing the medoid of a large number of points in high-dimensional space is
an increasingly common operation in many data science problems. We present an
algorithm Med-dit which uses O(n log n) distance evaluations to compute the
medoid with high probability. Med-dit is based on a connection with the
multi-armed ba... | 1 | 0 | 0 | 1 | 0 | 0 |
Early stopping for statistical inverse problems via truncated SVD estimation | We consider truncated SVD (or spectral cut-off, projection) estimators for a
prototypical statistical inverse problem in dimension $D$. Since calculating
the singular value decomposition (SVD) only for the largest singular values is
much less costly than the full SVD, our aim is to select a data-driven
truncation lev... | 0 | 0 | 1 | 1 | 0 | 0 |
Algorithmic Theory of ODEs and Sampling from Well-conditioned Logconcave Densities | Sampling logconcave functions arising in statistics and machine learning has
been a subject of intensive study. Recent developments include analyses for
Langevin dynamics and Hamiltonian Monte Carlo (HMC). While both approaches have
dimension-independent bounds for the underlying $\mathit{continuous}$ processes
under... | 1 | 0 | 0 | 0 | 0 | 0 |
The PSLQ Algorithm for Empirical Data | The celebrated integer relation finding algorithm PSLQ has been successfully
used in many applications. PSLQ was only analyzed theoretically for exact input
data, however, when the input data are irrational numbers, they must be
approximate ones due to the finite precision of the computer. When the
algorithm takes em... | 1 | 0 | 1 | 0 | 0 | 0 |
Tensor Completion Algorithms in Big Data Analytics | Tensor completion is a problem of filling the missing or unobserved entries
of partially observed tensors. Due to the multidimensional character of tensors
in describing complex datasets, tensor completion algorithms and their
applications have received wide attention and achievement in areas like data
mining, comput... | 1 | 0 | 0 | 1 | 0 | 0 |
On Gallai's and Hajós' Conjectures for graphs with treewidth at most 3 | A path (resp. cycle) decomposition of a graph $G$ is a set of edge-disjoint
paths (resp. cycles) of $G$ that covers the edge set of $G$. Gallai (1966)
conjectured that every graph on $n$ vertices admits a path decomposition of
size at most $\lfloor (n+1)/2\rfloor$, and Hajós (1968) conjectured that
every Eulerian gra... | 1 | 0 | 0 | 0 | 0 | 0 |
Band and correlated insulators of cold fermions in a mesoscopic lattice | We investigate the transport properties of neutral, fermionic atoms passing
through a one-dimensional quantum wire containing a mesoscopic lattice. The
lattice is realized by projecting individually controlled, thin optical
barriers on top of a ballistic conductor. Building an increasingly longer
lattice, one site af... | 0 | 1 | 0 | 0 | 0 | 0 |
Stochasticity from function - why the Bayesian brain may need no noise | An increasing body of evidence suggests that the trial-to-trial variability
of spiking activity in the brain is not mere noise, but rather the reflection
of a sampling-based encoding scheme for probabilistic computing. Since the
precise statistical properties of neural activity are important in this
context, many mod... | 0 | 0 | 0 | 0 | 1 | 0 |
Very Asymmetric Collider for Dark Matter Search below 1 GeV | Current searches for a dark photon in the mass range below 1 GeV require an
electron-positron collider with a luminosity at the level of at least $10^{34}$
cm$^{-2}$s$^{-1}$. The challenge is that, at such low energies, the collider
luminosity rapidly drops off due to increase in the beam sizes, strong mutual
focusin... | 0 | 1 | 0 | 0 | 0 | 0 |
Some divisibility properties of binomial coefficients | In this paper, we gave some properties of binomial coefficient.
| 0 | 0 | 1 | 0 | 0 | 0 |
An Unsupervised Method for Estimating the Global Horizontal Irradiance from Photovoltaic Power Measurements | In this paper, we present a method to determine the global horizontal
irradiance (GHI) from the power measurements of one or more PV systems, located
in the same neighborhood. The method is completely unsupervised and is based on
a physical model of a PV plant. The precise assessment of solar irradiance is
pivotal fo... | 0 | 0 | 0 | 1 | 0 | 0 |
Strong anisotropy effect in iron-based superconductor CaFe$_{0.882}$Co$_{0.118}$AsF | The anisotropy of the Fe-based superconductors is much smaller than that of
the cuprates and the theoretical calculations. A credible understanding for
this experimental fact is still lacking up to now. Here we experimentally study
the magnetic-field-angle dependence of electronic resistivity in the
superconducting p... | 0 | 1 | 0 | 0 | 0 | 0 |
Example of C-rigid polytopes which are not B-rigid | A simple polytope $P$ is said to be \emph{B-rigid} if its combinatorial
structure is characterized by its Tor-algebra, and is said to be \emph{C-rigid}
if its combinatorial structure is characterized by the cohomology ring of a
quasitoric manifold over $P$. It is known that a B-rigid simple polytope is
C-rigid. In th... | 0 | 0 | 1 | 0 | 0 | 0 |
Dynamic Switching Networks: A Dynamic, Non-local, and Time-independent Approach to Emergence | The concept of emergence is a powerful concept to explain very complex
behaviour by simple underling rules. Existing approaches of producing emergent
collective behaviour have many limitations making them unable to account for
the complexity we see in the real world. In this paper we propose a new
dynamic, non-local,... | 1 | 0 | 0 | 0 | 0 | 0 |
The Trouvé group for spaces of test functions | The Trouvé group $\mathcal G_{\mathcal A}$ from image analysis consists of
the flows at a fixed time of all time-dependent vectors fields of a given
regularity $\mathcal A(\mathbb R^d,\mathbb R^d)$. For a multitude of regularity
classes $\mathcal A$, we prove that the Trouvé group $\mathcal G_{\mathcal
A}$ coincides ... | 0 | 0 | 1 | 0 | 0 | 0 |
Robust Motion Planning employing Signal Temporal Logic | Motion planning classically concerns the problem of accomplishing a goal
configuration while avoiding obstacles. However, the need for more
sophisticated motion planning methodologies, taking temporal aspects into
account, has emerged. To address this issue, temporal logics have recently been
used to formulate such a... | 1 | 0 | 0 | 0 | 0 | 0 |
COREclust: a new package for a robust and scalable analysis of complex data | In this paper, we present a new R package COREclust dedicated to the
detection of representative variables in high dimensional spaces with a
potentially limited number of observations. Variable sets detection is based on
an original graph clustering strategy denoted CORE-clustering algorithm that
detects CORE-cluster... | 0 | 0 | 0 | 1 | 0 | 0 |
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