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ID int64 1 21k	TITLE stringlengths 7 239	ABSTRACT stringlengths 7 2.76k	Computer Science int64 0 1	Physics int64 0 1	Mathematics int64 0 1	Statistics int64 0 1	Quantitative Biology int64 0 1	Quantitative Finance int64 0 1
1	Reconstructing Subject-Specific Effect Maps	Predictive models allow subject-specific inference when analyzing disease related alterations in neuroimaging data. Given a subject's data, inference can be made at two levels: global, i.e. identifiying condition presence for the subject, and local, i.e. detecting condition effect on each individual measurement extra...	1	0	0	0	0	0
2	Rotation Invariance Neural Network	Rotation invariance and translation invariance have great values in image recognition tasks. In this paper, we bring a new architecture in convolutional neural network (CNN) named cyclic convolutional layer to achieve rotation invariance in 2-D symbol recognition. We can also get the position and orientation of the 2...	1	0	0	0	0	0
3	Spherical polyharmonics and Poisson kernels for polyharmonic functions	We introduce and develop the notion of spherical polyharmonics, which are a natural generalisation of spherical harmonics. In particular we study the theory of zonal polyharmonics, which allows us, analogously to zonal harmonics, to construct Poisson kernels for polyharmonic functions on the union of rotated balls. W...	0	0	1	0	0	0
4	A finite element approximation for the stochastic Maxwell--Landau--Lifshitz--Gilbert system	The stochastic Landau--Lifshitz--Gilbert (LLG) equation coupled with the Maxwell equations (the so called stochastic MLLG system) describes the creation of domain walls and vortices (fundamental objects for the novel nanostructured magnetic memories). We first reformulate the stochastic LLG equation into an equation ...	0	0	1	0	0	0
5	Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants	Fourier-transform infra-red (FTIR) spectra of samples from 7 plant species were used to explore the influence of preprocessing and feature extraction on efficiency of machine learning algorithms. Wavelet Tensor Train (WTT) and Discrete Wavelet Transforms (DWT) were compared as feature extraction techniques for FTIR d...	1	0	0	1	0	0
6	On maximizing the fundamental frequency of the complement of an obstacle	Let $\Omega \subset \mathbb{R}^n$ be a bounded domain satisfying a Hayman-type asymmetry condition, and let $ D $ be an arbitrary bounded domain referred to as "obstacle". We are interested in the behaviour of the first Dirichlet eigenvalue $ \lambda_1(\Omega \setminus (x+D)) $. First, we prove an upper bound on $ \l...	0	0	1	0	0	0
7	On the rotation period and shape of the hyperbolic asteroid 1I/`Oumuamua (2017) U1 from its lightcurve	We observed the newly discovered hyperbolic minor planet 1I/`Oumuamua (2017 U1) on 2017 October 30 with Lowell Observatory's 4.3-m Discovery Channel Telescope. From these observations, we derived a partial lightcurve with peak-to-trough amplitude of at least 1.2 mag. This lightcurve segment rules out rotation periods...	0	1	0	0	0	0
8	Adverse effects of polymer coating on heat transport at solid-liquid interface	The ability of metallic nanoparticles to supply heat to a liquid environment under exposure to an external optical field has attracted growing interest for biomedical applications. Controlling the thermal transport properties at a solid-liquid interface then appears to be particularly relevant. In this work, we addre...	0	1	0	0	0	0
9	SPH calculations of Mars-scale collisions: the role of the Equation of State, material rheologies, and numerical effects	We model large-scale ($\approx$2000km) impacts on a Mars-like planet using a Smoothed Particle Hydrodynamics code. The effects of material strength and of using different Equations of State on the post-impact material and temperature distributions are investigated. The properties of the ejected material in terms of e...	0	1	0	0	0	0
10	$\mathcal{R}_{0}$ fails to predict the outbreak potential in the presence of natural-boosting immunity	Time varying susceptibility of host at individual level due to waning and boosting immunity is known to induce rich long-term behavior of disease transmission dynamics. Meanwhile, the impact of the time varying heterogeneity of host susceptibility on the shot-term behavior of epidemics is not well-studied, even thoug...	0	0	0	0	1	0
11	A global sensitivity analysis and reduced order models for hydraulically-fractured horizontal wells	We present a systematic global sensitivity analysis using the Sobol method which can be utilized to rank the variables that affect two quantity of interests -- pore pressure depletion and stress change -- around a hydraulically-fractured horizontal well based on their degree of importance. These variables include roc...	1	0	0	0	0	0
12	Role-separating ordering in social dilemmas controlled by topological frustration	"Three is a crowd" is an old proverb that applies as much to social interactions, as it does to frustrated configurations in statistical physics models. Accordingly, social relations within a triangle deserve special attention. With this motivation, we explore the impact of topological frustration on the evolutionary...	0	1	0	0	0	0
13	Dynamics of exciton magnetic polarons in CdMnSe/CdMgSe quantum wells: the effect of self-localization	We study the exciton magnetic polaron (EMP) formation in (Cd,Mn)Se/(Cd,Mg)Se diluted-magnetic-semiconductor quantum wells using time-resolved photoluminescence (PL). The magnetic field and temperature dependencies of this dynamics allow us to separate the non-magnetic and magnetic contributions to the exciton localiz...	0	1	0	0	0	0
14	On Varieties of Ordered Automata	The classical Eilenberg correspondence, based on the concept of the syntactic monoid, relates varieties of regular languages with pseudovarieties of finite monoids. Various modifications of this correspondence appeared, with more general classes of regular languages on one hand and classes of more complex algebraic s...	1	0	0	0	0	0
15	Direct Evidence of Spontaneous Abrikosov Vortex State in Ferromagnetic Superconductor EuFe$_2$(As$_{1-x}$P$_x$)$_2$ with $x=0.21$	Using low-temperature Magnetic Force Microscopy (MFM) we provide direct experimental evidence for spontaneous vortex phase (SVP) formation in EuFe$_2$(As$_{0.79}$P$_{0.21}$)$_2$ single crystal with the superconducting $T^{\rm 0}_{\rm SC}=23.6$~K and ferromagnetic $T_{\rm FM}\sim17.7$~K transition temperatures. Sponta...	0	1	0	0	0	0
16	A rank 18 Waring decomposition of $sM_{\langle 3\rangle}$ with 432 symmetries	The recent discovery that the exponent of matrix multiplication is determined by the rank of the symmetrized matrix multiplication tensor has invigorated interest in better understanding symmetrized matrix multiplication. I present an explicit rank 18 Waring decomposition of $sM_{\langle 3\rangle}$ and describe its s...	0	0	1	0	0	0
17	The PdBI Arcsecond Whirlpool Survey (PAWS). The Role of Spiral Arms in Cloud and Star Formation	The process that leads to the formation of the bright star forming sites observed along prominent spiral arms remains elusive. We present results of a multi-wavelength study of a spiral arm segment in the nearby grand-design spiral galaxy M51 that belongs to a spiral density wave and exhibits nine gas spurs. The comb...	0	1	0	0	0	0
18	Higher structure in the unstable Adams spectral sequence	We describe a variant construction of the unstable Adams spectral the sequence for a space $Y$, associated to any free simplicial resolution of $H^*(Y;R)$ for $R=\mathbb{F}_p$ or $\mathbb{Q}$. We use this construction to describe the differentials and filtration in the spectral sequence in terms of appropriate system...	0	0	1	0	0	0
19	Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference using Five Empirical Applications	When investigators seek to estimate causal effects, they often assume that selection into treatment is based only on observed covariates. Under this identification strategy, analysts must adjust for observed confounders. While basic regression models have long been the dominant method of statistical adjustment, more ...	0	0	0	1	0	0
20	Acoustic Impedance Calculation via Numerical Solution of the Inverse Helmholtz Problem	Assigning homogeneous boundary conditions, such as acoustic impedance, to the thermoviscous wave equations (TWE) derived by transforming the linearized Navier-Stokes equations (LNSE) to the frequency domain yields a so-called Helmholtz solver, whose output is a discrete set of complex eigenfunction and eigenvalue pai...	0	1	0	0	0	0
21	Deciphering noise amplification and reduction in open chemical reaction networks	The impact of random fluctuations on the dynamical behavior a complex biological systems is a longstanding issue, whose understanding would shed light on the evolutionary pressure that nature imposes on the intrinsic noise levels and would allow rationally designing synthetic networks with controlled noise. Using the...	0	0	0	0	1	0
22	Many-Body Localization: Stability and Instability	Rare regions with weak disorder (Griffiths regions) have the potential to spoil localization. We describe a non-perturbative construction of local integrals of motion (LIOMs) for a weakly interacting spin chain in one dimension, under a physically reasonable assumption on the statistics of eigenvalues. We discuss ide...	0	1	1	0	0	0
23	Fault Detection and Isolation Tools (FDITOOLS) User's Guide	The Fault Detection and Isolation Tools (FDITOOLS) is a collection of MATLAB functions for the analysis and solution of fault detection and model detection problems. The implemented functions are based on the computational procedures described in the Chapters 5, 6 and 7 of the book: "A. Varga, Solving Fault Diagnosis...	1	0	0	0	0	0
24	Complexity of Deciding Detectability in Discrete Event Systems	Detectability of discrete event systems (DESs) is a question whether the current and subsequent states can be determined based on observations. Shu and Lin designed a polynomial-time algorithm to check strong (periodic) detectability and an exponential-time (polynomial-space) algorithm to check weak (periodic) detect...	1	0	0	0	0	0
25	The Knaster-Tarski theorem versus monotone nonexpansive mappings	Let $X$ be a partially ordered set with the property that each family of order intervals of the form $[a,b],[a,\rightarrow )$ with the finite intersection property has a nonempty intersection. We show that every directed subset of $X$ has a supremum. Then we apply the above result to prove that if $X$ is a topologica...	0	0	1	0	0	0
26	Efficient methods for computing integrals in electronic structure calculations	Efficient methods are proposed, for computing integrals appeaing in electronic structure calculations. The methods consist of two parts: the first part is to represent the integrals as contour integrals and the second one is to evaluate the contour integrals by the Clenshaw-Curtis quadrature. The efficiency of the pr...	0	1	0	0	0	0
27	Diffraction-Aware Sound Localization for a Non-Line-of-Sight Source	We present a novel sound localization algorithm for a non-line-of-sight (NLOS) sound source in indoor environments. Our approach exploits the diffraction properties of sound waves as they bend around a barrier or an obstacle in the scene. We combine a ray tracing based sound propagation algorithm with a Uniform Theor...	1	0	0	0	0	0
28	Jacob's ladders, crossbreeding in the set of $ζ$-factorization formulas and selection of families of $ζ$-kindred real continuous functions	In this paper we introduce the notion of $\zeta$-crossbreeding in a set of $\zeta$-factorization formulas and also the notion of complete hybrid formula as the final result of that crossbreeding. The last formula is used as a criterion for selection of families of $\zeta$-kindred elements in class of real continuous ...	0	0	1	0	0	0
29	Minimax Estimation of the $L_1$ Distance	We consider the problem of estimating the $L_1$ distance between two discrete probability measures $P$ and $Q$ from empirical data in a nonasymptotic and large alphabet setting. When $Q$ is known and one obtains $n$ samples from $P$, we show that for every $Q$, the minimax rate-optimal estimator with $n$ samples achi...	0	0	1	1	0	0
30	Density large deviations for multidimensional stochastic hyperbolic conservation laws	We investigate the density large deviation function for a multidimensional conservation law in the vanishing viscosity limit, when the probability concentrates on weak solutions of a hyperbolic conservation law conservation law. When the conductivity and dif-fusivity matrices are proportional, i.e. an Einstein-like r...	0	1	1	0	0	0
31	mixup: Beyond Empirical Risk Minimization	Large deep neural networks are powerful, but exhibit undesirable behaviors such as memorization and sensitivity to adversarial examples. In this work, we propose mixup, a simple learning principle to alleviate these issues. In essence, mixup trains a neural network on convex combinations of pairs of examples and thei...	1	0	0	1	0	0
32	Equality of the usual definitions of Brakke flow	In 1978 Brakke introduced the mean curvature flow in the setting of geometric measure theory. There exist multiple variants of the original definition. Here we prove that most of them are indeed equal. One central point is to correct the proof of Brakke's §3.5, where he develops an estimate for the evolution of the m...	0	0	1	0	0	0
33	Dynamic Base Station Repositioning to Improve Spectral Efficiency of Drone Small Cells	With recent advancements in drone technology, researchers are now considering the possibility of deploying small cells served by base stations mounted on flying drones. A major advantage of such drone small cells is that the operators can quickly provide cellular services in areas of urgent demand without having to p...	1	0	0	0	0	0
34	An Unsupervised Homogenization Pipeline for Clustering Similar Patients using Electronic Health Record Data	Electronic health records (EHR) contain a large variety of information on the clinical history of patients such as vital signs, demographics, diagnostic codes and imaging data. The enormous potential for discovery in this rich dataset is hampered by its complexity and heterogeneity. We present the first study to asse...	0	0	0	0	1	0
35	Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics	Artificial Neural Network computation relies on intensive vector-matrix multiplications. Recently, the emerging nonvolatile memory (NVM) crossbar array showed a feasibility of implementing such operations with high energy efficiency, thus there are many works on efficiently utilizing emerging NVM crossbar array as an...	1	0	0	0	0	0
36	Rate-Distortion Region of a Gray-Wyner Model with Side Information	In this work, we establish a full single-letter characterization of the rate-distortion region of an instance of the Gray-Wyner model with side information at the decoders. Specifically, in this model an encoder observes a pair of memoryless, arbitrarily correlated, sources $(S^n_1,S^n_2)$ and communicates with two r...	1	0	1	0	0	0
37	Fourier-based numerical approximation of the Weertman equation for moving dislocations	This work discusses the numerical approximation of a nonlinear reaction-advection-diffusion equation, which is a dimensionless form of the Weertman equation. This equation models steadily-moving dislocations in materials science. It reduces to the celebrated Peierls-Nabarro equation when its advection term is set to ...	0	1	0	0	0	0
38	Design Decisions for Weave: A Real-Time Web-based Collaborative Visualization Framework	There are many web-based visualization systems available to date, each having its strengths and limitations. The goals these systems set out to accomplish influence design decisions and determine how reusable and scalable they are. Weave is a new web-based visualization platform with the broad goal of enabling visual...	1	0	0	0	0	0
39	Suzaku Analysis of the Supernova Remnant G306.3-0.9 and the Gamma-ray View of Its Neighborhood	We present an investigation of the supernova remnant (SNR) G306.3$-$0.9 using archival multi-wavelength data. The Suzaku spectra are well described by two-component thermal plasma models: The soft component is in ionization equilibrium and has a temperature $\sim$0.59 keV, while the hard component has temperature $\s...	0	1	0	0	0	0
40	Japanese Sentiment Classification using a Tree-Structured Long Short-Term Memory with Attention	Previous approaches to training syntax-based sentiment classification models required phrase-level annotated corpora, which are not readily available in many languages other than English. Thus, we propose the use of tree-structured Long Short-Term Memory with an attention mechanism that pays attention to each subtree...	1	0	0	0	0	0
41	Covariances, Robustness, and Variational Bayes	Mean-field Variational Bayes (MFVB) is an approximate Bayesian posterior inference technique that is increasingly popular due to its fast runtimes on large-scale datasets. However, even when MFVB provides accurate posterior means for certain parameters, it often mis-estimates variances and covariances. Furthermore, p...	0	0	0	1	0	0
42	Are multi-factor Gaussian term structure models still useful? An empirical analysis on Italian BTPs	In this paper, we empirically study models for pricing Italian sovereign bonds under a reduced form framework, by assuming different dynamics for the short-rate process. We analyze classical Cox-Ingersoll-Ross and Vasicek multi-factor models, with a focus on optimization algorithms applied in the calibration exercise...	0	0	0	0	0	1
43	Probing valley filtering effect by Andreev reflection in zigzag graphene nanoribbon	Ballistic point contact (BPC) with zigzag edges in graphene is a main candidate of a valley filter, in which the polarization of the valley degree of freedom can be selected by using a local gate voltage. Here, we propose to detect the valley filtering effect by Andreev reflection. Because electrons in the lowest con...	0	1	0	0	0	0
44	Generalized Approximate Message-Passing Decoder for Universal Sparse Superposition Codes	Sparse superposition (SS) codes were originally proposed as a capacity-achieving communication scheme over the additive white Gaussian noise channel (AWGNC) [1]. Very recently, it was discovered that these codes are universal, in the sense that they achieve capacity over any memoryless channel under generalized appro...	1	0	1	0	0	0
45	LAAIR: A Layered Architecture for Autonomous Interactive Robots	When developing general purpose robots, the overarching software architecture can greatly affect the ease of accomplishing various tasks. Initial efforts to create unified robot systems in the 1990s led to hybrid architectures, emphasizing a hierarchy in which deliberative plans direct the use of reactive skills. How...	1	0	0	0	0	0
46	3D Human Pose Estimation in RGBD Images for Robotic Task Learning	We propose an approach to estimate 3D human pose in real world units from a single RGBD image and show that it exceeds performance of monocular 3D pose estimation approaches from color as well as pose estimation exclusively from depth. Our approach builds on robust human keypoint detectors for color images and incorp...	1	0	0	0	0	0
47	Simultaneous non-vanishing for Dirichlet L-functions	We extend the work of Fouvry, Kowalski and Michel on correlation between Hecke eigenvalues of modular forms and algebraic trace functions in order to establish an asymptotic formula for a generalized cubic moment of modular L-functions at the central point s = 1/2 and for prime moduli q. As an application, we exploit...	0	0	1	0	0	0
48	Wehrl Entropy Based Quantification of Nonclassicality for Single Mode Quantum Optical States	Nonclassical states of a quantized light are described in terms of Glauber-Sudarshan P distribution which is not a genuine classical probability distribution. Despite several attempts, defining a uniform measure of nonclassicality (NC) for the single mode quantum states of light is yet an open task. In our previous w...	1	1	0	0	0	0
49	Attention-based Natural Language Person Retrieval	Following the recent progress in image classification and captioning using deep learning, we develop a novel natural language person retrieval system based on an attention mechanism. More specifically, given the description of a person, the goal is to localize the person in an image. To this end, we first construct a...	1	0	0	0	0	0
50	Large Scale Automated Forecasting for Monitoring Network Safety and Security	Real time large scale streaming data pose major challenges to forecasting, in particular defying the presence of human experts to perform the corresponding analysis. We present here a class of models and methods used to develop an automated, scalable and versatile system for large scale forecasting oriented towards s...	0	0	0	1	0	0
51	Contextual Regression: An Accurate and Conveniently Interpretable Nonlinear Model for Mining Discovery from Scientific Data	Machine learning algorithms such as linear regression, SVM and neural network have played an increasingly important role in the process of scientific discovery. However, none of them is both interpretable and accurate on nonlinear datasets. Here we present contextual regression, a method that joins these two desirabl...	1	0	0	1	0	0
52	Multi-time correlators in continuous measurement of qubit observables	We consider multi-time correlators for output signals from linear detectors, continuously measuring several qubit observables at the same time. Using the quantum Bayesian formalism, we show that for unital (symmetric) evolution in the absence of phase backaction, an $N$-time correlator can be expressed as a product o...	0	1	0	0	0	0
53	Parallelism, Concurrency and Distribution in Constraint Handling Rules: A Survey	Constraint Handling Rules is an effective concurrent declarative programming language and a versatile computational logic formalism. CHR programs consist of guarded reactive rules that transform multisets of constraints. One of the main features of CHR is its inherent concurrency. Intuitively, rules can be applied to...	1	0	0	0	0	0
54	Robustness against the channel effect in pathological voice detection	Many people are suffering from voice disorders, which can adversely affect the quality of their lives. In response, some researchers have proposed algorithms for automatic assessment of these disorders, based on voice signals. However, these signals can be sensitive to the recording devices. Indeed, the channel effec...	1	0	0	0	0	0
55	An Effective Framework for Constructing Exponent Lattice Basis of Nonzero Algebraic Numbers	Computing a basis for the exponent lattice of algebraic numbers is a basic problem in the field of computational number theory with applications to many other areas. The main cost of a well-known algorithm \cite{ge1993algorithms,kauers2005algorithms} solving the problem is on computing the primitive element of the ex...	1	0	0	0	0	0
56	Competing evolutionary paths in growing populations with applications to multidrug resistance	Investigating the emergence of a particular cell type is a recurring theme in models of growing cellular populations. The evolution of resistance to therapy is a classic example. Common questions are: when does the cell type first occur, and via which sequence of steps is it most likely to emerge? For growing populat...	0	0	0	0	1	0
57	Transient flows in active porous media	Stimuli-responsive materials that modify their shape in response to changes in environmental conditions -- such as solute concentration, temperature, pH, and stress -- are widespread in nature and technology. Applications include micro- and nanoporous materials used in filtration and flow control. The physiochemical ...	0	1	0	0	0	0
58	An information model for modular robots: the Hardware Robot Information Model (HRIM)	Today's landscape of robotics is dominated by vertical integration where single vendors develop the final product leading to slow progress, expensive products and customer lock-in. Opposite to this, an horizontal integration would result in a rapid development of cost-effective mass-market products with an additional...	1	0	0	0	0	0
59	Detecting Adversarial Samples Using Density Ratio Estimates	Machine learning models, especially based on deep architectures are used in everyday applications ranging from self driving cars to medical diagnostics. It has been shown that such models are dangerously susceptible to adversarial samples, indistinguishable from real samples to human eye, adversarial samples lead to ...	1	0	0	1	0	0
60	The Query Complexity of Cake Cutting	We study the query complexity of cake cutting and give lower and upper bounds for computing approximately envy-free, perfect, and equitable allocations with the minimum number of cuts. The lower bounds are tight for computing connected envy-free allocations among n=3 players and for computing perfect and equitable al...	1	0	0	0	0	0
61	Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition	This paper studies the emotion recognition from musical tracks in the 2-dimensional valence-arousal (V-A) emotional space. We propose a method based on convolutional (CNN) and recurrent neural networks (RNN), having significantly fewer parameters compared with the state-of-the-art method for the same task. We utilize...	1	0	0	0	0	0
62	Timed Automata with Polynomial Delay and their Expressiveness	We consider previous models of Timed, Probabilistic and Stochastic Timed Automata, we introduce our model of Timed Automata with Polynomial Delay and we characterize the expressiveness of these models relative to each other.	1	0	0	0	0	0
63	Superconducting properties of Cu intercalated Bi$_2$Se$_3$ studied by Muon Spin Spectroscopy	We present muon spin rotation measurements on superconducting Cu intercalated Bi$_2$Se$_3$, which was suggested as a realization of a topological superconductor. We observe a clear evidence of the superconducting transition below 4 K, where the width of magnetic field distribution increases as the temperature is decr...	0	1	0	0	0	0
64	Time-domain THz spectroscopy reveals coupled protein-hydration dielectric response in solutions of native and fibrils of human lyso-zyme	Here we reveal details of the interaction between human lysozyme proteins, both native and fibrils, and their water environment by intense terahertz time domain spectroscopy. With the aid of a rigorous dielectric model, we determine the amplitude and phase of the oscillating dipole induced by the THz field in the vol...	0	1	0	0	0	0
65	Inversion of Qubit Energy Levels in Qubit-Oscillator Circuits in the Deep-Strong-Coupling Regime	We report on experimentally measured light shifts of superconducting flux qubits deep-strongly coupled to LC oscillators, where the coupling constants are comparable to the qubit and oscillator resonance frequencies. By using two-tone spectroscopy, the energies of the six lowest levels of each circuit are determined....	0	1	0	0	0	0
66	Deep Multiple Instance Feature Learning via Variational Autoencoder	We describe a novel weakly supervised deep learning framework that combines both the discriminative and generative models to learn meaningful representation in the multiple instance learning (MIL) setting. MIL is a weakly supervised learning problem where labels are associated with groups of instances (referred as ba...	0	0	0	1	0	0
67	Regularity of envelopes in Kähler classes	We establish the C^{1,1} regularity of quasi-psh envelopes in a Kahler class, confirming a conjecture of Berman.	0	0	1	0	0	0
68	$S^1$-equivariant Index theorems and Morse inequalities on complex manifolds with boundary	Let $M$ be a complex manifold of dimension $n$ with smooth connected boundary $X$. Assume that $\overline M$ admits a holomorphic $S^1$-action preserving the boundary $X$ and the $S^1$-action is transversal and CR on $X$. We show that the $\overline\partial$-Neumann Laplacian on $M$ is transversally elliptic and as a...	0	0	1	0	0	0
69	Internal Model from Observations for Reward Shaping	Reinforcement learning methods require careful design involving a reward function to obtain the desired action policy for a given task. In the absence of hand-crafted reward functions, prior work on the topic has proposed several methods for reward estimation by using expert state trajectories and action pairs. Howev...	1	0	0	1	0	0
70	Characterizations of quasitrivial symmetric nondecreasing associative operations	In this paper we are interested in the class of n-ary operations on an arbitrary chain that are quasitrivial, symmetric, nondecreasing, and associative. We first provide a description of these operations. We then prove that associativity can be replaced with bisymmetry in the definition of this class. Finally we inve...	0	0	1	0	0	0
71	Multivariate Dependency Measure based on Copula and Gaussian Kernel	We propose a new multivariate dependency measure. It is obtained by considering a Gaussian kernel based distance between the copula transform of the given d-dimensional distribution and the uniform copula and then appropriately normalizing it. The resulting measure is shown to satisfy a number of desirable properties...	0	0	1	1	0	0
72	The nature of the tensor order in Cd2Re2O7	The pyrochlore metal Cd2Re2O7 has been recently investigated by second-harmonic generation (SHG) reflectivity. In this paper, we develop a general formalism that allows for the identification of the relevant tensor components of the SHG from azimuthal scans. We demonstrate that the secondary order parameter identifie...	0	1	0	0	0	0
73	Efficient and consistent inference of ancestral sequences in an evolutionary model with insertions and deletions under dense taxon sampling	In evolutionary biology, the speciation history of living organisms is represented graphically by a phylogeny, that is, a rooted tree whose leaves correspond to current species and branchings indicate past speciation events. Phylogenies are commonly estimated from molecular sequences, such as DNA sequences, collected...	1	0	1	1	0	0
74	Flow Characteristics and Cores of Complex Network and Multiplex Type Systems	Subject of research is complex networks and network systems. The network system is defined as a complex network in which flows are moved. Classification of flows in the network is carried out on the basis of ordering and continuity. It is shown that complex networks with different types of flows generate various netw...	1	1	0	0	0	0
75	Pattern-forming fronts in a Swift-Hohenberg equation with directional quenching - parallel and oblique stripes	We study the effect of domain growth on the orientation of striped phases in a Swift-Hohenberg equation. Domain growth is encoded in a step-like parameter dependence that allows stripe formation in a half plane, and suppresses patterns in the complement, while the boundary of the pattern-forming region is propagating...	0	1	0	0	0	0
76	Generalized Minimum Distance Estimators in Linear Regression with Dependent Errors	This paper discusses minimum distance estimation method in the linear regression model with dependent errors which are strongly mixing. The regression parameters are estimated through the minimum distance estimation method, and asymptotic distributional properties of the estimators are discussed. A simulation study c...	0	0	1	1	0	0
77	Live Service Migration in Mobile Edge Clouds	Mobile edge clouds (MECs) bring the benefits of the cloud closer to the user, by installing small cloud infrastructures at the network edge. This enables a new breed of real-time applications, such as instantaneous object recognition and safety assistance in intelligent transportation systems, that require very low l...	1	0	0	0	0	0
78	Induced density correlations in a sonic black hole condensate	Analog black/white hole pairs, consisting of a region of supersonic flow, have been achieved in a recent experiment by J. Steinhauer using an elongated Bose-Einstein condensate. A growing standing density wave, and a checkerboard feature in the density-density correlation function, were observed in the supersonic reg...	0	1	0	0	0	0
79	Genus growth in $\mathbb{Z}_p$-towers of function fields	Let $K$ be a function field over a finite field $k$ of characteristic $p$ and let $K_{\infty}/K$ be a geometric extension with Galois group $\mathbb{Z}_p$. Let $K_n$ be the corresponding subextension with Galois group $\mathbb{Z}/p^n\mathbb{Z}$ and genus $g_n$. In this paper, we give a simple explicit formula $g_n$ i...	0	0	1	0	0	0
80	Topological Phases emerging from Spin-Orbital Physics	We study the evolution of spin-orbital correlations in an inhomogeneous quantum system with an impurity replacing a doublon by a holon orbital degree of freedom. Spin-orbital entanglement is large when spin correlations are antiferromagnetic, while for a ferromagnetic host we obtain a pure orbital description. In thi...	0	1	0	0	0	0
81	Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective	For autonomous agents to successfully operate in the real world, anticipation of future events and states of their environment is a key competence. This problem has been formalized as a sequence extrapolation problem, where a number of observations are used to predict the sequence into the future. Real-world scenario...	0	0	0	1	0	0
82	Exploring RNN-Transducer for Chinese Speech Recognition	End-to-end approaches have drawn much attention recently for significantly simplifying the construction of an automatic speech recognition (ASR) system. RNN transducer (RNN-T) is one of the popular end-to-end methods. Previous studies have shown that RNN-T is difficult to train and a very complex training process is ...	1	0	0	0	0	0
83	A Debt-Aware Learning Approach for Resource Adaptations in Cloud Elasticity Management	Elasticity is a cloud property that enables applications and its execution systems to dynamically acquire and release shared computational resources on demand. Moreover, it unfolds the advantage of economies of scale in the cloud through a drop in the average costs of these shared resources. However, it is still an o...	1	0	0	0	0	0
84	Semi-simplicial spaces	This is an exposition of homotopical results on the geometric realization of semi-simplicial spaces. We then use these to derive basic foundational results about classifying spaces of topological categories, possibly without units. The topics considered include: fibrancy conditions on topological categories; the effe...	0	0	1	0	0	0
85	Constraints, Lazy Constraints, or Propagators in ASP Solving: An Empirical Analysis	Answer Set Programming (ASP) is a well-established declarative paradigm. One of the successes of ASP is the availability of efficient systems. State-of-the-art systems are based on the ground+solve approach. In some applications this approach is infeasible because the grounding of one or few constraints is expensive....	1	0	0	0	0	0
86	A Unified Approach to Nonlinear Transformation Materials	The advances in geometric approaches to optical devices due to transformation optics has led to the development of cloaks, concentrators, and other devices. It has also been shown that transformation optics can be used to gravitational fields from general relativity. However, the technique is currently constrained to...	0	1	0	0	0	0
87	Stationary crack propagation in a two-dimensional visco-elastic network model	We investigate crack propagation in a simple two-dimensional visco-elastic model and find a scaling regime in the relation between the propagation velocity and energy release rate or fracture energy, together with lower and upper bounds of the scaling regime. On the basis of our result, the existence of the lower and...	0	1	0	0	0	0
88	A note on the fundamental group of Kodaira fibrations	The fundamental group $\pi$ of a Kodaira fibration is, by definition, the extension of a surface group $\Pi_b$ by another surface group $\Pi_g$, i.e. \[ 1 \rightarrow \Pi_g \rightarrow \pi \rightarrow \Pi_b \rightarrow 1. \] Conversely, we can inquire about what conditions need to be satisfied by a group of that sort...	0	0	1	0	0	0
89	Photo-Chemically Directed Self-Assembly of Carbon Nanotubes on Surfaces	Transistors incorporating single-wall carbon nanotubes (CNTs) as the channel material are used in a variety of electronics applications. However, a competitive CNT-based technology requires the precise placement of CNTs at predefined locations of a substrate. One promising placement approach is to use chemical recogn...	0	1	0	0	0	0
90	Split-and-augmented Gibbs sampler - Application to large-scale inference problems	This paper derives two new optimization-driven Monte Carlo algorithms inspired from variable splitting and data augmentation. In particular, the formulation of one of the proposed approaches is closely related to the alternating direction method of multipliers (ADMM) main steps. The proposed framework enables to deri...	0	0	0	1	0	0
91	Does a generalized Chaplygin gas correctly describe the cosmological dark sector?	Yes, but only for a parameter value that makes it almost coincide with the standard model. We reconsider the cosmological dynamics of a generalized Chaplygin gas (gCg) which is split into a cold dark matter (CDM) part and a dark energy (DE) component with constant equation of state. This model, which implies a specif...	0	1	0	0	0	0
92	The effects of subdiffusion on the NTA size measurements of extracellular vesicles in biological samples	The interest in the extracellular vesicles (EVs) is rapidly growing as they became reliable biomarkers for many diseases. For this reason, fast and accurate techniques of EVs size characterization are the matter of utmost importance. One increasingly popular technique is the Nanoparticle Tracking Analysis (NTA), in w...	0	1	0	0	0	0
93	Empirical regression quantile process with possible application to risk analysis	The processes of the averaged regression quantiles and of their modifications provide useful tools in the regression models when the covariates are not fully under our control. As an application we mention the probabilistic risk assessment in the situation when the return depends on some exogenous variables. The proc...	0	0	1	1	0	0
94	Primordial perturbations from inflation with a hyperbolic field-space	We study primordial perturbations from hyperinflation, proposed recently and based on a hyperbolic field-space. In the previous work, it was shown that the field-space angular momentum supported by the negative curvature modifies the background dynamics and enhances fluctuations of the scalar fields qualitatively, as...	0	1	0	0	0	0
95	Role of Vanadyl Oxygen in Understanding Metallic Behavior of V2O5(001) Nanorods	Vanadium pentoxide (V2O5), the most stable member of vanadium oxide family, exhibits interesting semiconductor to metal transition in the temperature range of 530-560 K. The metallic behavior originates because of the reduction of V2O5 through oxygen vacancies. In the present report, V2O5 nanorods in the orthorhombic...	0	1	0	0	0	0
96	Graph Convolution: A High-Order and Adaptive Approach	In this paper, we presented a novel convolutional neural network framework for graph modeling, with the introduction of two new modules specially designed for graph-structured data: the $k$-th order convolution operator and the adaptive filtering module. Importantly, our framework of High-order and Adaptive Graph Con...	1	0	0	1	0	0
97	Learning Sparse Representations in Reinforcement Learning with Sparse Coding	A variety of representation learning approaches have been investigated for reinforcement learning; much less attention, however, has been given to investigating the utility of sparse coding. Outside of reinforcement learning, sparse coding representations have been widely used, with non-convex objectives that result ...	1	0	0	1	0	0
98	Almost euclidean Isoperimetric Inequalities in spaces satisfying local Ricci curvature lower bounds	Motivated by Perelman's Pseudo Locality Theorem for the Ricci flow, we prove that if a Riemannian manifold has Ricci curvature bounded below in a metric ball which moreover has almost maximal volume, then in a smaller ball (in a quantified sense) it holds an almost-euclidean isoperimetric inequality. The result is ac...	0	0	1	0	0	0
99	Exponential Sums and Riesz energies	We bound an exponential sum that appears in the study of irregularities of distribution (the low-frequency Fourier energy of the sum of several Dirac measures) by geometric quantities: a special case is that for all $\left\{ x_1, \dots, x_N\right\} \subset \mathbb{T}^2$, $X \geq 1$ and a universal $c>0$ $$ \sum_{i,j=...	0	0	1	0	0	0
100	One dimensionalization in the spin-1 Heisenberg model on the anisotropic triangular lattice	We investigate the effect of dimensional crossover in the ground state of the antiferromagnetic spin-$1$ Heisenberg model on the anisotropic triangular lattice that interpolates between the regime of weakly coupled Haldane chains ($J^{\prime}\! \!\ll\!\! J$) and the isotropic triangular lattice ($J^{\prime}\!\!=\!\!J...	0	1	0	0	0	0

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Content-Articles Dataset

Overview

The Content-Articles dataset is a collection of academic articles and research papers across various subjects, including Computer Science, Physics, and Mathematics. This dataset is designed to facilitate research and analysis in these fields by providing structured data on article titles, abstracts, and subject classifications.

Dataset Details

Modalities

Tabular: The dataset is structured in a tabular format.
Text: Contains text data, including article titles and abstracts.

Formats

CSV: The dataset is available in CSV format.

Size

The dataset contains between 10,000 to 100,000 entries.

Libraries

Datasets: The dataset is compatible with the Hugging Face Datasets library.
Pandas: Can be easily loaded and manipulated using Pandas.
Croissant: Additional support for Croissant format.

Dataset Structure

Columns

TITLE: The title of the article.
ABSTRACT: The abstract of the article.
Computer Science: Binary indicator (1 or 0) for articles related to Computer Science.
Physics: Binary indicator (1 or 0) for articles related to Physics.
Mathematics: Binary indicator (1 or 0) for articles related to Mathematics.

Splits

train: Contains 21,000 rows of training data.

Usage

Loading the Dataset

You can load the dataset using the Hugging Face Datasets library:

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Content-Articles")

Example

Here’s an example of how to access the data:

import pandas as pd

# Load the dataset
dataset = load_dataset("prithivMLmods/Content-Articles")

# Convert to Pandas DataFrame
df = pd.DataFrame(dataset['train'])

# Display the first few rows
print(df.head())

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