text null | inputs dict | prediction null | prediction_agent null | annotation list | annotation_agent null | multi_label bool 1
class | explanation null | id stringlengths 1 5 | metadata null | status stringclasses 2
values | event_timestamp null | metrics null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
null | {
"abstract": " We introduce Deep-HiTS, a rotation invariant convolutional neural network\n(CNN) model for classifying images of transients candidates into artifacts or\nreal sources for the High cadence Transient Survey (HiTS). CNNs have the\nadvantage of learning the features automatically from the data while achi... | null | null | null | null | true | null | 17301 | null | Default | null | null |
null | {
"abstract": " In various approaches to learning, notably in domain adaptation, active\nlearning, learning under covariate shift, semi-supervised learning, learning\nwith concept drift, and the like, one often wants to compare a baseline\nclassifier to one or more advanced (or at least different) strategies. In thi... | null | null | null | null | true | null | 17302 | null | Default | null | null |
null | {
"abstract": " The principle of common cause asserts that positive correlations between\ncausally unrelated events ought to be explained through the action of some\nshared causal factors. Reichenbachian common cause systems are probabilistic\nstructures aimed at accounting for cases where correlations of the afores... | null | null | null | null | true | null | 17303 | null | Default | null | null |
null | {
"abstract": " When three species compete cyclically in a well-mixed, stochastic system of\n$N$ individuals, extinction is known to typically occur at times scaling as the\nsystem size $N$. This happens, for example, in rock-paper-scissors games or\nconserved Lotka-Volterra models in which every pair of individuals... | null | null | null | null | true | null | 17304 | null | Default | null | null |
null | {
"abstract": " We study the multiclass online learning problem where a forecaster makes a\nsequence of predictions using the advice of $n$ experts. Our main contribution\nis to analyze the regime where the best expert makes at most $b$ mistakes and\nto show that when $b = o(\\log_4{n})$, the expected number of mist... | null | null | [
"Statistics"
] | null | true | null | 17305 | null | Validated | null | null |
null | {
"abstract": " Deep learning techniques have been hugely successful for traditional\nsupervised and unsupervised machine learning problems. In large part, these\ntechniques solve continuous optimization problems. Recently however, discrete\ngenerative deep learning models have been successfully used to efficiently\... | null | null | null | null | true | null | 17306 | null | Default | null | null |
null | {
"abstract": " In this paper we study the infinitesimal symmetries, Newtonoid vector fields,\ninfinitesimal Noether symmetries and conservation laws of Hamiltonian systems.\nUsing the dynamical covariant derivative and Jacobi endomorphism on the\ncotangent bundle we find the invariant equations of infinitesimal sym... | null | null | null | null | true | null | 17307 | null | Default | null | null |
null | {
"abstract": " The studying of anomalous diffusion by pulsed field gradient (PFG) diffusion\ntechnique still faces challenges. Two different research groups have proposed\nmodified Bloch equation for anomalous diffusion. However, these equations have\ndifferent forms and, therefore, yield inconsistent results. The ... | null | null | null | null | true | null | 17308 | null | Default | null | null |
null | {
"abstract": " We report a nontrivial transition in the core structure of vortices in\ntwo-band superconductors as a function of interband impurity scattering. We\ndemonstrate that, in addition to singular zeros of the order parameter, the\nvortices there can acquire a circular nodal line around the singular point ... | null | null | [
"Physics"
] | null | true | null | 17309 | null | Validated | null | null |
null | {
"abstract": " Multi-armed bandit (MAB) is a class of online learning problems where a\nlearning agent aims to maximize its expected cumulative reward while repeatedly\nselecting to pull arms with unknown reward distributions. We consider a\nscenario where the reward distributions may change in a piecewise-stationa... | null | null | null | null | true | null | 17310 | null | Default | null | null |
null | {
"abstract": " We investigate the initial-boundary value problem for the general\nthree-component nonlinear Schrodinger (gtc-NLS) equation with a 4x4 Lax pair on\na finite interval by extending the Fokas unified approach. The solutions of the\ngtc-NLS equation can be expressed in terms of the solutions of a 4x4 mat... | null | null | null | null | true | null | 17311 | null | Default | null | null |
null | {
"abstract": " We demonstrate that a deep neural network can significantly improve optical\nmicroscopy, enhancing its spatial resolution over a large field-of-view and\ndepth-of-field. After its training, the only input to this network is an image\nacquired using a regular optical microscope, without any changes to... | null | null | null | null | true | null | 17312 | null | Default | null | null |
null | {
"abstract": " The development of needle-free injection systems utilizing high-speed\nmicrojets is of great importance to world healthcare. It is thus crucial to\ncontrol the microjets, which are often induced by underwater shock waves. In\nthis contribution from fluid-mechanics point of view, we experimentally\nin... | null | null | null | null | true | null | 17313 | null | Default | null | null |
null | {
"abstract": " In this paper, we initiate a rigorous theoretical study of clustering with\nnoisy queries (or a faulty oracle). Given a set of $n$ elements, our goal is to\nrecover the true clustering by asking minimum number of pairwise queries to an\noracle. Oracle can answer queries of the form : \"do elements $u... | null | null | null | null | true | null | 17314 | null | Default | null | null |
null | {
"abstract": " Classical reverse-mode automatic differentiation (AD) imposes only a small\nconstant-factor overhead in operation count over the original computation, but\nhas storage requirements that grow, in the worst case, in proportion to the\ntime consumed by the original computation. This storage blowup can b... | null | null | [
"Computer Science"
] | null | true | null | 17315 | null | Validated | null | null |
null | {
"abstract": " Many-degree-scale gamma-ray halos are expected to surround extragalactic\nhigh-energy gamma ray sources. These arise from the inverse Compton emission of\nan intergalactic population of relativistic electron/positron pairs generated\nby the annihilation of >100 GeV gamma rays on the extragalactic bac... | null | null | [
"Physics"
] | null | true | null | 17316 | null | Validated | null | null |
null | {
"abstract": " In this work we investigate a one-dimensional parity-time (PT)-symmetric\nmagnetic metamaterial consisting of split-ring dimers having gain or loss.\nEmploying a Melnikov analysis we study the existence of localized travelling\nwaves, i.e. homoclinic or heteroclinic solutions. We find conditions unde... | null | null | null | null | true | null | 17317 | null | Default | null | null |
null | {
"abstract": " We present Generative Adversarial Capsule Network (CapsuleGAN), a framework\nthat uses capsule networks (CapsNets) instead of the standard convolutional\nneural networks (CNNs) as discriminators within the generative adversarial\nnetwork (GAN) setting, while modeling image data. We provide guidelines... | null | null | null | null | true | null | 17318 | null | Default | null | null |
null | {
"abstract": " Zoonotic diseases are a major cause of morbidity, and productivity losses in\nboth humans and animal populations. Identifying the source of food-borne\nzoonoses (e.g. an animal reservoir or food product) is crucial for the\nidentification and prioritisation of food safety interventions. For many\nzoo... | null | null | null | null | true | null | 17319 | null | Default | null | null |
null | {
"abstract": " The exploitation of the excellent intrinsic electronic properties of graphene\nfor device applications is hampered by a large contact resistance between the\nmetal and graphene. The formation of edge contacts rather than top contacts is\none of the most promising solutions for realizing low ohmic con... | null | null | null | null | true | null | 17320 | null | Default | null | null |
null | {
"abstract": " We investigate a steady planar flow of an ideal fluid in a bounded simple\nconnected domain and focus on the vortex patch problem with prescribed\nvorticity strength. There are two methods to deal with the existence of\nsolutions for this problem: the vorticity method and the stream function\nmethod.... | null | null | null | null | true | null | 17321 | null | Default | null | null |
null | {
"abstract": " This article demonstrates that convolutional operation can be converted to\nmatrix multiplication, which has the same calculation way with fully connected\nlayer. The article is helpful for the beginners of the neural network to\nunderstand how fully connected layer and the convolutional layer work i... | null | null | null | null | true | null | 17322 | null | Default | null | null |
null | {
"abstract": " Due to the success of deep learning to solving a variety of challenging\nmachine learning tasks, there is a rising interest in understanding loss\nfunctions for training neural networks from a theoretical aspect. Particularly,\nthe properties of critical points and the landscape around them are of\ni... | null | null | [
"Computer Science",
"Statistics"
] | null | true | null | 17323 | null | Validated | null | null |
null | {
"abstract": " Let $R$ be a commutative ring with identity, and let $Z(R)$ be the set of\nzero-divisors of $R$. The annihilator graph of $R$ is defined as the undirected\ngraph $AG(R)$ with the vertex set $Z(R)^*=Z(R)\\setminus\\{0\\}$, and two distinct\nvertices $x$ and $y$ are adjacent if and only if $ann_R(xy)\\... | null | null | null | null | true | null | 17324 | null | Default | null | null |
null | {
"abstract": " In the following paper we analyse the ID$_3$-Price on German Intraday\nContinuous Electricity Market using an econometric time series model. A\nmultivariate approach is conducted for hourly and quarter-hourly products\nseparately. We estimate the model using lasso and elastic net techniques and\nperf... | null | null | null | null | true | null | 17325 | null | Default | null | null |
null | {
"abstract": " Characterization of the uncertainty in robotic manipulators is the focus of\nthis paper. Based on the random matrix theory (RMT), we propose uncertainty\ncharacterization schemes in which the uncertainty is modeled at the macro\n(system) level. This is different from the traditional approaches that m... | null | null | null | null | true | null | 17326 | null | Default | null | null |
null | {
"abstract": " Patch-based denoising algorithms like BM3D have achieved outstanding\nperformance. An important idea for the success of these methods is to exploit\nthe recurrence of similar patches in an input image to estimate the underlying\nimage structures. However, in these algorithms, the similar patches used... | null | null | null | null | true | null | 17327 | null | Default | null | null |
null | {
"abstract": " We have studied disordering effects on the coefficients of Ginzburg - Landau\nexpansion in powers of superconducting order - parameter in attractive Anderson\n- Hubbard model within the generalized $DMFT+\\Sigma$ approximation. We consider\nthe wide region of attractive potentials $U$ from the weak c... | null | null | null | null | true | null | 17328 | null | Default | null | null |
null | {
"abstract": " Simulation-based inference plays a major role in modern statistics, and often\nemploys either reallocating (as in a randomization test) or resampling (as in\nbootstrapping). Reallocating mimics random allocation to treatment groups,\nwhile resampling mimics random sampling from a larger population; d... | null | null | [
"Mathematics",
"Statistics"
] | null | true | null | 17329 | null | Validated | null | null |
null | {
"abstract": " K-Nearest Neighbours (k-NN) is a popular classification and regression\nalgorithm, yet one of its main limitations is the difficulty in choosing the\nnumber of neighbours. We present a Bayesian algorithm to compute the posterior\nprobability distribution for k given a target point within a data-set,\... | null | null | null | null | true | null | 17330 | null | Default | null | null |
null | {
"abstract": " In this paper we extend the work by Ryuzo Sato devoted to the development of\neconomic growth models within the framework of the Lie group theory. We propose\na new growth model based on the assumption of logistic growth in factors. It is\nemployed to derive new production functions and introduce a n... | null | null | null | null | true | null | 17331 | null | Default | null | null |
null | {
"abstract": " We report results of a search for light weakly interacting massive particle\n(WIMP) dark matter from the CDEX-1 experiment at the China Jinping Underground\nLaboratory (CJPL). Constraints on WIMP-nucleon spin-independent (SI) and\nspin-dependent (SD) couplings are derived with a physics threshold of ... | null | null | null | null | true | null | 17332 | null | Default | null | null |
null | {
"abstract": " The 32 Orionis group was discovered almost a decade ago and despite the fact\nthat it represents the first northern, young (age ~ 25 Myr) stellar aggregate\nwithin 100 pc of the Sun ($d \\simeq 93$ pc), a comprehensive survey for members\nand detailed characterisation of the group has yet to be perfo... | null | null | null | null | true | null | 17333 | null | Default | null | null |
null | {
"abstract": " This paper proposes XML-Defined Network policies (XDNP), a new high-level\nlanguage based on XML notation, to describe network control rules in Software\nDefined Network environments. We rely on existing OpenFlow controllers\nspecifically Floodlight but the novelty of this project is to separate\ncom... | null | null | null | null | true | null | 17334 | null | Default | null | null |
null | {
"abstract": " This paper discusses a roadmap to investigate Domain Objects being an\nadequate formalism to capture the peculiarity of microservice architecture, and\nto support Software development since the early stages. It provides a survey of\nboth Microservices and Domain Objects, and it discusses plans and re... | null | null | [
"Computer Science"
] | null | true | null | 17335 | null | Validated | null | null |
null | {
"abstract": " We discuss the effect of dissipation on heating which occurs in periodically\ndriven quantum many body systems. We especially focus on a periodically driven\nBose-Hubbard model coupled to an energy and particle reservoir. Without\ndissipation, this model is known to undergo parametric instabilities w... | null | null | null | null | true | null | 17336 | null | Default | null | null |
null | {
"abstract": " The goal of compressed sensing is to estimate a vector from an\nunderdetermined system of noisy linear measurements, by making use of prior\nknowledge on the structure of vectors in the relevant domain. For almost all\nresults in this literature, the structure is represented by sparsity in a\nwell-ch... | null | null | null | null | true | null | 17337 | null | Default | null | null |
null | {
"abstract": " Several researchers have described two-part models with patient-specific\nstochastic processes for analysing longitudinal semicontinuous data. In theory,\nsuch models can offer greater flexibility than the standard two-part model with\npatient-specific random effects. However, in practice the high di... | null | null | null | null | true | null | 17338 | null | Default | null | null |
null | {
"abstract": " Along with the deraining performance improvement of deep networks, their\nstructures and learning become more and more complicated and diverse, making it\ndifficult to analyze the contribution of various network modules when\ndeveloping new deraining networks. To handle this issue, this paper provide... | null | null | null | null | true | null | 17339 | null | Default | null | null |
null | {
"abstract": " Statistical inference based on lossy or incomplete samples is of fundamental\nimportance in research areas such as signal/image processing, medical image\nstorage, remote sensing, signal transmission. In this paper, we propose a\nnonparametric testing procedure based on quantized samples. In contrast... | null | null | null | null | true | null | 17340 | null | Default | null | null |
null | {
"abstract": " Nearest neighbor imputation is popular for handling item nonresponse in\nsurvey sampling. In this article, we study the asymptotic properties of the\nnearest neighbor imputation estimator for general population parameters,\nincluding population means, proportions and quantiles. For variance estimatio... | null | null | [
"Statistics"
] | null | true | null | 17341 | null | Validated | null | null |
null | {
"abstract": " We demonstrate that a semiconductor laser perturbed by the distributed\nfeedback from a fiber random grating can emit light chaotically without the\ntime delay signature. A theoretical model is developed based on the\nLang-Kobayashi model in order to numerically explore the chaotic dynamics of\nthe l... | null | null | null | null | true | null | 17342 | null | Default | null | null |
null | {
"abstract": " In this paper, we propose a new deep feature selection method based on deep\narchitecture. Our method uses stacked auto-encoders for feature representation\nin higher-level abstraction. We developed and applied a novel feature learning\napproach to a specific precision medicine problem, which focuses... | null | null | null | null | true | null | 17343 | null | Default | null | null |
null | {
"abstract": " To detect and segment salient objects accurately, existing methods are\nusually devoted to designing complex network architectures to fuse powerful\nfeatures from the backbone networks. However, they put much less efforts on the\nsaliency inference module and only use a few fully convolutional layers... | null | null | null | null | true | null | 17344 | null | Default | null | null |
null | {
"abstract": " We provide a complete picture of asymptotically minimax estimation of\n$L_r$-norms (for any $r\\ge 1$) of the mean in Gaussian white noise model over\nNikolskii-Besov spaces. In this regard, we complement the work of Lepski,\nNemirovski and Spokoiny (1999), who considered the cases of $r=1$ (with\npo... | null | null | null | null | true | null | 17345 | null | Default | null | null |
null | {
"abstract": " This paper studies the secrecy rate maximization problem of a secure wireless\ncommunication system, in the presence of multiple eavesdroppers. The security\nof the communication link is enhanced through cooperative jamming, with the\nhelp of multiple jammers. First, a feasibility condition is derive... | null | null | null | null | true | null | 17346 | null | Default | null | null |
null | {
"abstract": " Stochastic integration \\textit{wrt} Gaussian processes has raised strong\ninterest in recent years, motivated in particular by its applications in\nInternet traffic modeling, biomedicine and finance. The aim of this work is to\ndefine and develop a White Noise Theory-based anticipative stochastic ca... | null | null | null | null | true | null | 17347 | null | Default | null | null |
null | {
"abstract": " We naturally associate a measurable space of paths to a couple of orthogonal\nvector fields over a surface and we integrate the length function over it. This\nintegral is interpreted as a natural continuous generalization of indirect\ninfluences on finite graphs and can be thought as a tool to captur... | null | null | null | null | true | null | 17348 | null | Default | null | null |
null | {
"abstract": " This paper focuses on automated synthesis of divide-and-conquer parallelism,\nwhich is a common parallel programming skeleton supported by many\ncross-platform multithreaded libraries. The challenges of producing (manually\nor automatically) a correct divide-and-conquer parallel program from a given\... | null | null | null | null | true | null | 17349 | null | Default | null | null |
null | {
"abstract": " In the present work we prove a Nikol'ski inequality for trigonometric\npolynomials and Ul'yanov type inequalities for functions in Lebesgue spaces\nwith Muckenhoupt weights. Realization result and Jackson inequalities are\nobtained. Simultaneous approximation by polynomials is considered. Some unifor... | null | null | null | null | true | null | 17350 | null | Default | null | null |
null | {
"abstract": " Inferring model parameters from experimental data is a grand challenge in\nmany sciences, including cosmology. This often relies critically on high\nfidelity numerical simulations, which are prohibitively computationally\nexpensive. The application of deep learning techniques to generative modeling\n... | null | null | null | null | true | null | 17351 | null | Default | null | null |
null | {
"abstract": " This paper establishes an upper bound for the Kolmogorov distance between the\nmaximum of a high-dimensional vector of smooth Wiener functionals and the\nmaximum of a Gaussian random vector. As a special case, we show that the\nmaximum of multiple Wiener-Itô integrals with common orders is\nwell-appr... | null | null | null | null | true | null | 17352 | null | Default | null | null |
null | {
"abstract": " By considering a limiting case of a Kronecker-type identity, we obtain an\nidentity found by both Andrews and Crandall. We then use the Andrews-Crandall\nidentity to give a new proof of a formula of Gauss for the representations of a\nnumber as a sum of three squares. From the Kronecker-type identity... | null | null | null | null | true | null | 17353 | null | Default | null | null |
null | {
"abstract": " In this paper, we consider the temporal pattern in traffic flow time series,\nand implement a deep learning model for traffic flow prediction. Detrending\nbased methods decompose original flow series into trend and residual series, in\nwhich trend describes the fixed temporal pattern in traffic flow ... | null | null | null | null | true | null | 17354 | null | Default | null | null |
null | {
"abstract": " We propose in this paper a new approach to the Kaluza-Klein idea of a five\ndimensional space-time unifying gravitation and electromagnetism, and extension\nto higher-dimensional space-time. By considering a natural geometric definition\nof a matter fluid and abandoning the usual requirement of a Ric... | null | null | [
"Mathematics"
] | null | true | null | 17355 | null | Validated | null | null |
null | {
"abstract": " We prove a conjecture of Medvedev and Scanlon in the case of regular\nmorphisms of semiabelian varieties. That is, if $G$ is a semiabelian variety\ndefined over an algebraically closed field $K$ of characteristic $0$, and\n$\\varphi\\colon G\\to G$ is a dominant regular self-map of $G$ which is not\n... | null | null | null | null | true | null | 17356 | null | Default | null | null |
null | {
"abstract": " The asymptotic behaviour of the commonly used bootstrap percentile confidence\ninterval is investigated when the parameters are subject to linear inequality\nconstraints. We concentrate on the important one- and two-sample problems with\ndata generated from general parametric distributions in the nat... | null | null | null | null | true | null | 17357 | null | Default | null | null |
null | {
"abstract": " We compute physical properties across the phase diagram of the $t$-$J_\\perp$\nchain with long-range dipolar interactions, which describe ultracold polar\nmolecules on optical lattices. Our results obtained by the density-matrix\nrenormalization group (DMRG) indicate that superconductivity is enhance... | null | null | null | null | true | null | 17358 | null | Default | null | null |
null | {
"abstract": " We introduce MinimalRNN, a new recurrent neural network architecture that\nachieves comparable performance as the popular gated RNNs with a simplified\nstructure. It employs minimal updates within RNN, which not only leads to\nefficient learning and testing but more importantly better interpretabilit... | null | null | null | null | true | null | 17359 | null | Default | null | null |
null | {
"abstract": " Let $BQP(n)$ be a boolean quadric polytope, $LOP(m)$ be a linear ordering\npolytope. It is shown that $BQP(n)$ is linearly isomorphic to a face of\n$LOP(2n)$.\n",
"title": "Boolean quadric polytopes are faces of linear ordering polytopes"
} | null | null | null | null | true | null | 17360 | null | Default | null | null |
null | {
"abstract": " Analyzing array-based computations to determine data dependences is useful\nfor many applications including automatic parallelization, race detection,\ncomputation and communication overlap, verification, and shape analysis. For\nsparse matrix codes, array data dependence analysis is made more diffic... | null | null | null | null | true | null | 17361 | null | Default | null | null |
null | {
"abstract": " Independent Component Analysis (ICA) - one of the basic tools in data\nanalysis - aims to find a coordinate system in which the components of the data\nare independent. Most of existing methods are based on the minimization of the\nfunction of fourth-order moment (kurtosis). Skewness (third-order mom... | null | null | null | null | true | null | 17362 | null | Default | null | null |
null | {
"abstract": " We study weighted $H^\\infty$ spaces of analytic functions on the open unit\ndisc in the case of non-doubling weights, which decrease rapidly with respect\nto the boundary distance. We characterize the solid hulls of such spaces and\ngive quite explicit representations of them in the case of the most... | null | null | null | null | true | null | 17363 | null | Default | null | null |
null | {
"abstract": " Cauchy and exponential transforms are characterized, and constructed, as\ncanonical holomorphic sections of certain line bundles on the Riemann sphere\ndefined in terms of the Schwarz function. A well known natural connection\nbetween Schwarz reflection and line bundles defined on the Schottky double... | null | null | null | null | true | null | 17364 | null | Default | null | null |
null | {
"abstract": " We report extensive theoretical calculations on the rotation-inversion\nexcitation of interstellar ammonia (NH3) due to collisions with atomic and\nmolecular hydrogen (both para- and ortho-H2). Close-coupling calculations are\nperformed for total energies in the range 1-2000 cm-1 and rotational cross... | null | null | [
"Physics"
] | null | true | null | 17365 | null | Validated | null | null |
null | {
"abstract": " We consider the multi-view data completion problem, i.e., to complete a\nmatrix $\\mathbf{U}=[\\mathbf{U}_1|\\mathbf{U}_2]$ where the ranks of\n$\\mathbf{U},\\mathbf{U}_1$, and $\\mathbf{U}_2$ are given. In particular, we\ninvestigate the fundamental conditions on the sampling pattern, i.e., location... | null | null | [
"Computer Science",
"Mathematics"
] | null | true | null | 17366 | null | Validated | null | null |
null | {
"abstract": " We consider the problem of grid-forming control of power converters in\nlow-inertia power systems. Starting from an average-switch three-phase inverter\nmodel, we draw parallels to a synchronous machine (SM) model and propose a\nnovel grid-forming converter control strategy which dwells upon the main... | null | null | null | null | true | null | 17367 | null | Default | null | null |
null | {
"abstract": " We characterize the near-infrared (NIR) dust attenuation for a sample of\n~5500 local (z<0.1) star-forming galaxies and obtain an estimate of their\naverage total-to-selective attenuation $k(\\lambda)$. We utilize data from the\nUnited Kingdom Infrared Telescope (UKIRT) and the Two Micron All-Sky Sur... | null | null | null | null | true | null | 17368 | null | Default | null | null |
null | {
"abstract": " Using tape or optical devices for scale-out storage is one option for storing\na vast amount of data. However, it is impossible or almost impossible to\nrewrite data with such devices. Thus, scale-out storage using such devices\ncannot use standard data-distribution algorithms because they rewrite da... | null | null | null | null | true | null | 17369 | null | Default | null | null |
null | {
"abstract": " Noisy PN learning is the problem of binary classification when training\nexamples may be mislabeled (flipped) uniformly with noise rate rho1 for\npositive examples and rho0 for negative examples. We propose Rank Pruning (RP)\nto solve noisy PN learning and the open problem of estimating the noise rat... | null | null | null | null | true | null | 17370 | null | Default | null | null |
null | {
"abstract": " We present a neural model for representing snippets of code as continuous\ndistributed vectors (\"code embeddings\"). The main idea is to represent a code\nsnippet as a single fixed-length $\\textit{code vector}$, which can be used to\npredict semantic properties of the snippet. This is performed by ... | null | null | null | null | true | null | 17371 | null | Default | null | null |
null | {
"abstract": " Robust data association is necessary for virtually every SLAM system and\nfinding corresponding points is typically a preprocessing step for scan\nalignment algorithms. Traditionally, handcrafted feature descriptors were used\nfor these problems but recently learned descriptors have been shown to per... | null | null | null | null | true | null | 17372 | null | Default | null | null |
null | {
"abstract": " We study the effect of dynamical tides associated with the excitation of\ngravity waves in an interior radiative region of the central star on orbital\nevolution in observed systems containing Hot Jupiters. We consider WASP-43,\nOgle-tr-113, WASP-12, and WASP-18 which contain stars on the main sequen... | null | null | null | null | true | null | 17373 | null | Default | null | null |
null | {
"abstract": " We consider a Bose-Einstein condensate (BEC) with attractive two-body\ninteractions in a cigar-shaped trap, initially prepared in its ground state for\na given negative scattering length, which is quenched to a larger absolute\nvalue of the scattering length. Using the mean-field approximation, we co... | null | null | null | null | true | null | 17374 | null | Default | null | null |
null | {
"abstract": " The execution of sequential programs allows them to be represented using\nmathematical functions formed by the composition of statements following one\nafter the other. Each such statement is in itself a partial function, which\nallows only inputs satisfying a particular Boolean condition to carry fo... | null | null | null | null | true | null | 17375 | null | Default | null | null |
null | {
"abstract": " Specify a randomized algorithm that, given a very large graph or network,\nextracts a random subgraph. What can we learn about the input graph from a\nsingle subsample? We derive laws of large numbers for the sampler output, by\nrelating randomized subsampling to distributional invariance: Assuming a... | null | null | null | null | true | null | 17376 | null | Default | null | null |
null | {
"abstract": " In this paper, we prove modularity results of Taylor coefficients of certain\nnon-holomorphic Jacobi forms. It is well-known that Taylor coefficients of\nholomorphic Jacobi forms are quasimoular forms. However recently there has been\na wide interest for Taylor coefficients of non-holomorphic Jacobi ... | null | null | null | null | true | null | 17377 | null | Default | null | null |
null | {
"abstract": " For future networks (i.e., the fifth generation (5G) wireless networks and\nbeyond), millimeter-wave (mmWave) communication with large available unlicensed\nspectrum is a promising technology that enables gigabit multimedia\napplications. Thanks to the short wavelength of mmWave radio, massive antenn... | null | null | null | null | true | null | 17378 | null | Default | null | null |
null | {
"abstract": " Many of the existing methods for learning joint embedding of images and text\nuse only supervised information from paired images and its textual attributes.\nTaking advantage of the recent success of unsupervised learning in deep neural\nnetworks, we propose an end-to-end learning framework that is a... | null | null | null | null | true | null | 17379 | null | Default | null | null |
null | {
"abstract": " Kepler-452b is currently the best example of an Earth-size planet in the\nhabitable zone of a sun-like star, a type of planet whose number of detections\nis expected to increase in the future. Searching for biosignatures in the\nsupposedly thin atmospheres of these planets is a challenging goal that\... | null | null | null | null | true | null | 17380 | null | Default | null | null |
null | {
"abstract": " We report the propagation of a square wave signal in a quasi-periodically\ndriven Murali-Lakshmanan-Chua (QPDMLC) circuit system. It is observed that\nsignal propagation is possible only above a certain threshold strength of the\nsquare wave or digital signal and all the values above the threshold am... | null | null | null | null | true | null | 17381 | null | Default | null | null |
null | {
"abstract": " We present Sequential Attend, Infer, Repeat (SQAIR), an interpretable deep\ngenerative model for videos of moving objects. It can reliably discover and\ntrack objects throughout the sequence of frames, and can also generate future\nframes conditioning on the current frame, thereby simulating expected... | null | null | null | null | true | null | 17382 | null | Default | null | null |
null | {
"abstract": " We present a new local descriptor for 3D shapes, directly applicable to a\nwide range of shape analysis problems such as point correspondences, semantic\nsegmentation, affordance prediction, and shape-to-scan matching. The descriptor\nis produced by a convolutional network that is trained to embed ge... | null | null | null | null | true | null | 17383 | null | Default | null | null |
null | {
"abstract": " We present theoretical guarantees for an alternating minimization algorithm\nfor the dictionary learning/sparse coding problem. The dictionary learning\nproblem is to factorize vector samples $y^{1},y^{2},\\ldots, y^{n}$ into an\nappropriate basis (dictionary) $A^*$ and sparse vectors $x^{1*},\\ldots... | null | null | null | null | true | null | 17384 | null | Default | null | null |
null | {
"abstract": " In recent years, there have been increasing concerns about how geomagnetic\ndisturbances (GMDs) impact electrical power systems. Geomagnetically-induced\ncurrents (GICs) can saturate transformers, induce hot spot heating and increase\nreactive power losses. These effects can potentially cause catastr... | null | null | null | null | true | null | 17385 | null | Default | null | null |
null | {
"abstract": " In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and\nthe segmentation-based multi-scale analysis to locate tampered areas in digital\nimages. First, to deal with color input sliding windows of different scales, a\nunified CNN architecture is designed. Then, we elaborately de... | null | null | null | null | true | null | 17386 | null | Default | null | null |
null | {
"abstract": " In this paper, we consider the derivation of the Kadomtsev-Petviashvili (KP)\nequation for cold ion-acoustic wave in the long wavelength limit of the\ntwo-dimensional quantum Euler-Poisson system, under different scalings for\nvarying directions in the Gardner-Morikawa transform. It is shown that the... | null | null | null | null | true | null | 17387 | null | Default | null | null |
null | {
"abstract": " This paper introduces the variational implicit processes (VIPs), a Bayesian\nnonparametric method based on a class of highly flexible priors over functions.\nSimilar to Gaussian processes (GPs), in implicit processes (IPs), an implicit\nmultivariate prior (data simulators, Bayesian neural networks, e... | null | null | null | null | true | null | 17388 | null | Default | null | null |
null | {
"abstract": " Transformation optics methods and gradient index electromagnetic structures\nrely upon spatially varied arbitrary permittivity. This, along with recent\ninterest in millimeter-wave lens-based antennas demands high spatial resolution\ndielectric variation. Perforated media have been used to fabricate ... | null | null | null | null | true | null | 17389 | null | Default | null | null |
null | {
"abstract": " Lanthanum family of high-temperature cuprate superconductors is known to\nexhibit both spin and charge electronic modulations around doping level 1/8. We\nassume that these modulations have the character of two-dimensional spin-vortex\ncheckerboard and investigate whether this assumption is consisten... | null | null | null | null | true | null | 17390 | null | Default | null | null |
null | {
"abstract": " Capable of reaching similar magnitudes to large megathrust earthquakes\n($M_w>7$), slow slip events play a major role in accommodating tectonic motion\non plate boundaries. These slip transients are the slow release of built-up\ntectonic stress that are geodetically imaged as a predominantly aseismic... | null | null | [
"Physics"
] | null | true | null | 17391 | null | Validated | null | null |
null | {
"abstract": " General $N$-solitons in three recently-proposed nonlocal nonlinear\nSchrödinger equations are presented. These nonlocal equations include the\nreverse-space, reverse-time, and reverse-space-time nonlinear Schrödinger\nequations, which are nonlocal reductions of the Ablowitz-Kaup-Newell-Segur\n(AKNS) ... | null | null | null | null | true | null | 17392 | null | Default | null | null |
null | {
"abstract": " We revisit the mathematical models for wireless network jamming introduced by\nCommander et al.: we first point out the strong connections with classical\nwireless network design and then we propose a new model based on the explicit\nuse of signal-to-interference quantities. Moreover, to address the ... | null | null | null | null | true | null | 17393 | null | Default | null | null |
null | {
"abstract": " Symbolic data analysis (SDA) is an emerging area of statistics based on\naggregating individual level data into group-based distributional summaries\n(symbols), and then developing statistical methods to analyse them. It is ideal\nfor analysing large and complex datasets, and has immense potential to... | null | null | null | null | true | null | 17394 | null | Default | null | null |
null | {
"abstract": " Many real-world data mining applications need varying cost for different\ntypes of classification errors and thus call for cost-sensitive classification\nalgorithms. Existing algorithms for cost-sensitive classification are\nsuccessful in terms of minimizing the cost, but can result in a high error r... | null | null | [
"Computer Science"
] | null | true | null | 17395 | null | Validated | null | null |
null | {
"abstract": " The Cherenkov Telescope Array (CTA) is the next generation of Imaging\nAtmospheric Cherenkov Telescopes. It will reach a sensitivity and energy\nresolution never obtained until now by any other high energy gamma-ray\nexperiment. Understanding the systematic uncertainties in general will be a\ncrucial... | null | null | null | null | true | null | 17396 | null | Default | null | null |
null | {
"abstract": " The restricted isometry property (RIP) is a universal tool for data recovery.\nWe explore the implication of the RIP in the framework of generalized sparsity\nand group measurements introduced in the Part I paper. It turns out that for a\ngiven measurement instrument the number of measurements for RI... | null | null | null | null | true | null | 17397 | null | Default | null | null |
null | {
"abstract": " Nonparametric kernel density estimation is a very natural procedure which\nsimply makes use of the smoothing power of the convolution operation. Yet, it\nperforms poorly when the density of a positive variable is to be estimated\n(boundary issues, spurious bumps in the tail). So various extensions of... | null | null | null | null | true | null | 17398 | null | Default | null | null |
null | {
"abstract": " We applied machine learning to predict whether a gene is involved in axon\nregeneration. We extracted 31 features from different databases and trained\nfive machine learning models. Our optimal model, a Random Forest Classifier\nwith 50 submodels, yielded a test score of 85.71%, which is 4.1% higher ... | null | null | null | null | true | null | 17399 | null | Default | null | null |
null | {
"abstract": " This paper investigates the algorithmic dimension spectra of lines in the\nEuclidean plane. Given any line L with slope a and vertical intercept b, the\ndimension spectrum sp(L) is the set of all effective Hausdorff dimensions of\nindividual points on L. We draw on Kolmogorov complexity and geometric... | null | null | [
"Computer Science"
] | null | true | null | 17400 | null | Validated | null | null |
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