December 2013 arXiv papers — page 20

Wang Rui-Feng

The back-action exerted by the moving electron on the magnetic flux in the A-B effect is analyzed. It is emphasized that a reasonable interpretation on the A-B effect should be consistent with the uncertain principle. If the back-action on the magnetic flux is reduced to zero, the A-B effect should not be observed, even through the vector potential still exi

S. Ebbens, D. A. Gregory, G. Dunderdale, J. R. Howse

The effect of added salt on the propulsion of Janus platinum-polystyrene colloids in hydrogen peroxide solution is studied experimentally. It is found that micromolar quantities of potassium and silver nitrate salts reduce the swimming velocity by similar amounts, while leading to significantly different effects on the overall rate of catalytic breakdown of

John Levine, Graeme Ritchie, Alastair Andrew, Simon Gates

The efficient scheduling of independent computational tasks in a heterogeneous computing environment is an important problem that occurs in domains such as Grid and Cloud computing. Finding optimal schedules is an NP-hard problem in general, so we have to rely on approximate algorithms to come up schedules that are as near to optimal as possible. In our prev

A. D. Chepelianskii, J. Wang, R. H. Friend

We report a new experimental method to measure the localization length of photo-generated carriers in an organic donor-acceptor photovoltaic blend by comparing their dielectric and electron spin-resonance susceptibilities which are simultaneously measured by monitoring the resonance frequency of a superconducting resonator. We show that at cryogenic temperat

S. Derom, A. Berthelot, A. Pillonnet, O. Benamara

We theoretically and numerically investigate metal enhanced fluorescence of plasmonic core-shell nanoparticles doped with rare earth (RE) ions. Particle shape and size are engineered to maximize the average enhancement factor (AEF) of the overall doped shell. We show that the highest enhancement (11 in the visible and 7 in the near-infrared) are achieved by

Yuzhu Han, Wenjie Gao

In this paper, the finite time extinction of solutions to the fast diffusion system $u_t=\mathrm{div}(|\nabla u|^{p-2}\nabla u)+v^m$, $v_t=\mathrm{div}(|\nabla v|^{q-2}\nabla v)+u^n$ is investigated, where $1<p,q<2$, $m,n>0$ and $Ω\subset \mathbb{R}^N\ (N\geq1)$ is a bounded smooth domain. After establishing the local existence of weak solutions, the authors

Merab Gogberashvili, Pavle Midodashvili

We investigate localization problem for gauge fields within the 5D standing wave braneworld with real scalar field and show that there exist normalizable vector field zero modes on the brane.

Alexander Lorz, Tommaso Lorenzi, Jean Clairambault, Alexandre Escargueil

Histopathological evidence supports the idea that the emergence of phenotypic heterogeneity and resistance to cytotoxic drugs can be considered as a process of adaptation, or evolution, in tumor cell populations. In this framework, can we explain intra-tumor heterogeneity in terms of cell adaptation to local conditions? How do anti-cancer therapies affect th

Baptiste Devyver, Yehuda Pinchover

Let $\mathcal{Q}(φ):=\int_Ω\big(|\nabla φ|^p+V|φ|^p\big)\dnu$ on $\core$, and assume that $\mathcal{Q}\geq 0$. The aim of the paper is to obtain &#39;&#39;as large as possible&#34; nonnegative (optimal) Hardy-type weight $W$ satisfying $$\mathcal{Q}(φ)\geq \int_Ω W|φ|^p\dnu \quad\forall φ\in\core,$$ on punctured domains $Ω$.

Karamoko Diarra

On étudie la possibilité de construire des solutions algébriques partielles des équations d&#39;isomonodromie pour les connections holomorphes de rang $2$ sur les courbes de genre $2$ en adaptant la méthode d&#39;Andreev et Kitaev par les familles de Hurwitz. Nous classifions tous les cas où la connection est à monodromie Zariski dense.

Philippe André, James Di Francesco, Derek Ward-Thompson, Shu-ichiro Inutsuka

Recent studies of the nearest star-forming clouds of the Galaxy at submillimeter wavelengths with the Herschel Space Observatory have provided us with unprecedented images of the initial and boundary conditions of the star formation process. The Herschel results emphasize the role of interstellar filaments in the star formation process and connect remarkably

Maciej Lisicki

We present four different ways of deriving the Oseen tensor which is the fundamental solution to the Stokes equations for an incompressible viscous fluid. This solution corresponds to a point force acting on an infinite fluid. The derivations follow the books of Kim & Karilla, Zapryanov & Tabakova, Dhont, and Pozrikidis.

Benjamin Oberhof

We report some new results on tau decays obtained by the BaBar collaboration using 468 inverse femtobarn of electron-positron collisions recorded at the PEP-II asymmetric collider at Stanford Linear Accelerator Center. First We will show the results for the branching fractions for the decay of the tau to a charged hadron and two neutral kaons and the branchi

Robert de Mello Koch, Stuart Graham, Ilies Messamah

In this article we study the action of the one loop dilatation operator on operators with a classical dimension of order N. These operators belong to the su(2) sector and are constructed using two complex fields Y and Z. For these operators non-planar diagrams contribute already at the leading order in N and the planar and large N limits are distinct. The ac

V. Giovannetti, R. Garcia-Patron, N. J. Cerf, A. S. Holevo

Optical channels, such as fibers or free-space links, are ubiquitous in today&#39;s telecommunication networks. They rely on the electromagnetic field associated with photons to carry information from one point to another in space. As a result, a complete physical model of these channels must necessarily take quantum effects into account in order to determin

G. Adhikary, D. Biswas, N. Sahadev, R. Bindu

We investigate the electronic structure of CaFe$_2$As$_2$ using high resolution photoemission spectroscopy. Experimental results exhibit three energy bands crossing the Fermi level making hole pockets around the $Γ$-point. Temperature variation reveal a gradual shift of an energy band away from the Fermi level with the decrease in temperature in addition to

A. Sota, J. Maíz Apellániz, N. I. Morrell, R. H. Barbá

We present the second installment of GOSSS, a massive spectroscopic survey of Galactic O stars, based on new homogeneous, high signal-to-noise ratio, R ~ 2500 digital observations from both hemispheres selected from the Galactic O-Star Catalog (GOSC). In this paper we include bright stars and other objects drawn mostly from the first version of GOSC, all of

Michel Gross, Michael Atlan, Jacques Leng

We report a pilot study with a wide-field laser Doppler detection scheme used to perform laser Doppler anemometry and imaging of particle seeded microflow. The optical field carrying the local scatterers (particles) dynamic state, as a consequence of momentum transfer at each scattering event, is analyzed in the temporal frequencies domain. The setup is base

Kasturika B. Ray

Biometrics authentication is an effective method for automatically recognizing individuals. The authentication consists of an enrollment phase and an identification or verification phase. In the stages of enrollment known (training) samples after the pre-processing stage are used for suitable feature extraction to generate the template database. In the verif

Minoru Hirose

We define the class of normalized Shintani L-functions of several variables. Unlike Shintani zeta functions, the normalized Shintani L-function is a holomorphic function. Moreover it satisfies a good functional equation. We show that any Hecke L-function of a totally real field can be expressed as a diagonal part of some normalized Shintani L-function of sev

Gang Liu, Ting-Zhu Huang, Jun Liu, Xiao-Guang Lv

The total variation (TV) regularization method is an effective method for image deblurring in preserving edges. However, the TV based solutions usually have some staircase effects. In this paper, in order to alleviate the staircase effect, we propose a new model for restoring blurred images with impulse noise. The model consists of an $\ell_1$-fidelity term

L. D. Anderson, T. M. Bania, Dana S. Balser, V. Cunningham

Using data from the all-sky Wide-Field Infrared Survey Explorer (WISE) satellite, we made a catalog of over 8000 Galactic HII regions and HII region candidates by searching for their characteristic mid-infrared (MIR) morphology. WISE has sufficient sensitivity to detect the MIR emission from HII regions located anywhere in the Galactic disk. We believe this

Farn Wang, Jung-Hsuan Wu, Sven Schewe, Chung-Hao Huang

Modern software systems may exhibit a nondeterministic behavior due to many unpredictable factors. In this work, we propose the node coverage game, a two player turn-based game played on a finite game graph, as a formalization of the problem to test such systems. Each node in the graph represents a {\em functional equivalence class} of the software under tes

John A. Hirdt, David A. Brown

The EXFOR database contains the largest collection of experimental nuclear reaction data available as well as the data&#39;s bibliographic information and experimental details. We created an undirected graph from the EXFOR datasets with graph nodes representing single observables and graph links representing the various types of connections between these obs

Benjamin Horowitz

The recent trend in mathematics is towards a framework of abstract mathematical objects, rather than the more concrete approach of explicitly defining elements which objects were thought to consist of. A natural question to raise is whether this sort of abstract approach advocated for by Lawvere, among others, is foundational in the sense that it provides a

Benjamin Horowitz

A conformal field theory (CFT) is a quantum field theory which is invariant under conformal transformations; a group action that preserve angles but not necessarily lengths. There are two traditional approaches to the construction of CFTs: analyzing a statistical system near a critical point as a euclidean field theory, and in holographic duality within the

Karl Lundengård, Jonas Österberg, Sergei Silvestrov

The values of the determinant of Vandermonde matrices with real elements are analyzed both visually and analytically over the unit sphere in various dimensions. For three dimensions some generalized Vandermonde matrices are analyzed visually. The extreme points of the ordinary Vandermonde determinant on finite-dimensional unit spheres are given as the roots

K. Kaneko, T. Mizusaki, Y. Sun, S. Tazaki

We propose a unified realistic shell-model Hamiltonian employing the pairing plus multipole Hamiltonian combined with the monopole interaction constructed starting from the monopole-based universal force by Otsuka it et al. (Phys. Rev. Lett. 104, 012501 (2010)). It is demonstrated that the proposed PMMU model can consistently describe a large amount of spect

Rafael N. Alexander, Natasha C. Gabay, Nicolas C. Menicucci

The work reported in arXiv:1311.5619v1 proposes to produce continuous-variable cluster states through relativistic motion of cavities. This proposal does not produce the states claimed by the authors. The states actually produced are in general not known to be useful for measurement-based quantum computation.

Thomas Paine, Hailin Jin, Jianchao Yang, Zhe Lin

The ability to train large-scale neural networks has resulted in state-of-the-art performance in many areas of computer vision. These results have largely come from computational break throughs of two forms: model parallelism, e.g. GPU accelerated training, which has seen quick adoption in computer vision circles, and data parallelism, e.g. A-SGD, whose larg

James Q. Boedicker, Hernan G. Garcia, Stephanie Johnson, Rob Phillips

As the chief informational molecule of life, DNA is subject to extensive physical manipulations. The energy required to deform double-helical DNA depends on sequence, and this mechanical code of DNA influences gene regulation, such as through nucleosome positioning. Here we examine the sequence-dependent flexibility of DNA in bacterial transcription factor-m

Tong Xu, Min Chen, Fei-Yu Li, Lu-Le Yu

We study incoherent Thomson scattering between an ultrashort laser pulse and an electron beam accelerated from a laser wakefield. The energy chirp effects of the accelerated electron beam on the final radiation spectrum bandwidth are investigated. It is found that the scattered X-ray radiation has the minimum spectrum width and highest intensity as electrons

W. Liu, H. Zhang, D. Tao, Y. Wang

Principal component analysis (PCA) is a statistical technique commonly used in multivariate data analysis. However, PCA can be difficult to interpret and explain since the principal components (PCs) are linear combinations of the original variables. Sparse PCA (SPCA) aims to balance statistical fidelity and interpretability by approximating sparse PCs whose

W. Liu, H. Liu, D. Tao, Y. Wang

With the rapid advance of Internet technology and smart devices, users often need to manage large amounts of multimedia information using smart devices, such as personal image and video accessing and browsing. These requirements heavily rely on the success of image (video) annotation, and thus large scale image annotation through innovative machine learning

James Antonaglia, Wendelin J. Wright, Xiaojun Gu, Rachel R. Byer

Inelastic deformation of metallic glasses occurs via slip events with avalanche dynamics similar to those of earthquakes. For the first time in these materials, measurements have been obtained with sufficiently high temporal resolution to extract both the exponents and the scaling functions that describe the nature, statistics and dynamics of the slips accor

Hideo Suganuma, Takahiro M. Doi, Takumu Iritani

To clarify the relation between confinement and chiral symmetry breaking in QCD, we consider a temporally odd-number lattice, with the temporal lattice size $N_t$ being odd. We here use an ordinary square lattice with the normal (nontwisted) periodic boundary condition for link-variables in the temporal direction. By considering ${\rm Tr} (\hat{U}_4\hat{\not

Amanda E. Diegel, Xiaobing H. Feng, Steven M. Wise

In this paper we devise and analyze a mixed finite element method for a modified Cahn-Hilliard equation coupled with a non-steady Darcy-Stokes flow that models phase separation and coupled fluid flow in immiscible binary fluids and diblock copolymer melts. The time discretization is based on a convex splitting of the energy of the equation. We prove that our

Heinz H. Bauschke, J. Y. Bello Cruz, Tran T. A. Nghia, Hung M. Phan

The Douglas-Rachford splitting algorithm is a classical optimization method that has found many applications. When specialized to two normal cone operators, it yields an algorithm for finding a point in the intersection of two convex sets. This method for solving feasibility problems has attracted a lot of attention due to its good performance even in noncon

Ronan Terpereau

Let $G \subset GL(V)$ be a reductive algebraic subgroup acting on the symplectic vector space $W=(V \oplus V^*)^{\oplus m}$, and let $μ:\ W \rightarrow Lie(G)^*$ be the corresponding moment map. In this article, we use the theory of invariant Hilbert schemes to construct a canonical desingularization of the symplectic reduction $μ^{-1}(0)/\!/G$ for classes o

Xiaoyu Wang, Rafael M. Fernandes

We investigate the fate of the orthorhombic stripe-type magnetic state (ordering vectors $\left(π,0\right)$/$\left(0,π\right)$), observed in most iron-pnictide superconductors, in the presence of localized magnetic moments that tend to form a Neel state (ordering vector $\left(π,π\right)$). We show that before long-range Neel order sets in, the coupling betw

Karl Moritz Hermann, Phil Blunsom

Distributed representations of meaning are a natural way to encode covariance relationships between words and phrases in NLP. By overcoming data sparsity problems, as well as providing information about semantic relatedness which is not available in discrete representations, distributed representations have proven useful in many NLP tasks. Recent work has sh

R. Bondesan, D. Wieczorek, M. R. Zirnbauer

Stationary wave functions at the transition between plateaus of the integer quantum Hall effect are known to exhibit multi-fractal statistics. Here we explore this critical behavior for the case of scattering states of the Chalker-Coddington model with point contacts. We argue that moments formed from the wave amplitudes of critical scattering states decay a

Ti Wang, Daniel L. Silver

This paper presents an unsupervised multi-modal learning system that learns associative representation from two input modalities, or channels, such that input on one channel will correctly generate the associated response at the other and vice versa. In this way, the system develops a kind of supervised classification model meant to simulate aspects of human

Cédric Lagnier, Simon Bourigault, Sylvain Lamprier, Ludovic Denoyer

We introduce a model for predicting the diffusion of content information on social media. When propagation is usually modeled on discrete graph structures, we introduce here a continuous diffusion model, where nodes in a diffusion cascade are projected onto a latent space with the property that their proximity in this space reflects the temporal diffusion pr

Anjan Nepal, Alexander Yates

Most representation learning algorithms for language and image processing are local, in that they identify features for a data point based on surrounding points. Yet in language processing, the correct meaning of a word often depends on its global context. As a step toward incorporating global context into representation learning, we develop a representation

Franco Flandoli, Giovanni Zanco

In this paper, a Banach space framework is introduced in order to deal with finite-dimensional path-dependent stochastic differential equations. A version of Kolmogorov backward equation is formulated and solved both in the space of $L^p$ paths and in the space of continuous paths using the associated stochastic differential equation, thus establishing a rel

Michael T. Lacey, Brett D. Wick

Fix an integer $ n$ and number $d$, $ 0< d\neq n-1 \leq n$, and two weights $ w$ and $ σ$ on $ \mathbb R ^{n}$. We two extra conditions (1) no common point masses and (2) the two weights separately are not concentrated on a set of codimension one, uniformly over locations and scales. (This condition holds for doubling weights.) Then, we characterize the two

Karl-Hermann Neeb, Gestur Olafsson

The concept of reflection positivity has its origins in the work of Osterwalder--Schrader on constructive quantum field theory. It is a fundamental tool to construct a relativistic quantum field theory as a unitary representation of the Poincare group from a non-relativistic field theory as a representation of the euclidean motion group. This is the second a

Mohammad Ali Keyvanrad, Mohammad Pezeshki, Mohammad Ali Homayounpour

Deep Belief Networks which are hierarchical generative models are effective tools for feature representation and extraction. Furthermore, DBNs can be used in numerous aspects of Machine Learning such as image denoising. In this paper, we propose a novel method for image denoising which relies on the DBNs&#39; ability in feature representation. This work is b

Mohammad Pezeshki, Sajjad Gholami, Ahmad Nickabadi

Data representation is an important pre-processing step in many machine learning algorithms. There are a number of methods used for this task such as Deep Belief Networks (DBNs) and Discrete Fourier Transforms (DFTs). Since some of the features extracted using automated feature extraction methods may not always be related to a specific machine learning task,

Cinzia Bisi, Jean-Philippe Furter, Stéphane Lamy

We study the group Tame(SL$_2$) of tame automorphisms of a smooth affine 3-dimensional quadric, which we can view as the underlying variety of SL(2,$\mathbb{C}$). We construct a square complex on which the group admits a natural cocompact action, and we prove that the complex is CAT(0) and hyperbolic. We propose two applications of this construction: We show

Liang-Hui Du, J. Q. You, Lin Tian

Analog quantum simulators can be used to study quantum correlation in novel many-body systems by emulating the Hamiltonian of these systems. One essential question in quantum simulation is to probe the properties of an emulated many-body system. Here we present a circuit QED scheme for probing such properties by measuring the spectrum of a superconducting re

Antoine Géré, Patrizia Vitale, Jean-Christophe Wallet

We consider a class of gauge invariant models on the noncommutative space $\mathbb{R}^3_λ$, a deformation of $\mathbb{R}^3$. Focusing on massless models with no linear $A_i$ dependence, we obtain noncommutative gauge models for which the computation of the propagator can be done in a convenient gauge. We find that the infrared singularity of the massless pro

Thomas Koberda, Johanna Mangahas

In this article, we propose two algorithms for determining the Nielsen-Thurston classification of a mapping class $ψ$ on a surface $S$. We start with a finite generating set $X$ for the mapping class group and a word $ψ$ in $\langle X \rangle$. We show that if $ψ$ represents a reducible mapping class in $\Mod(S)$ then $ψ$ admits a canonical reduction system

Eleftheria Tzavara, Shuntaro Mizuno, Bartjan van Tent

We examine the covariant properties of generalized models of two-field inflation, with non-canonical kinetic terms and a possibly non-trivial field metric. We demonstrate that kinetic-term derivatives and covariant field derivatives do commute in a proper covariant framework, which was not realized before in the literature. We also define a set of generalize

Vinay K. Chaudhri, Stijn Heymans, Michael Wessel, Tran Cao Son

Research on developing efficient and scalable ASP solvers can substantially benefit by the availability of data sets to experiment with. KB_Bio_101 contains knowledge from a biology textbook, has been developed as part of Project Halo, and has recently become available for research use. KB_Bio_101 is one of the largest KBs available in ASP and the reasoning

Fabien Boitier, Adeline Orieux, Claire Autebert, Aristide Lemaître

One of the main challenges for future quantum information technologies is miniaturization and integration of high performance components in a single chip. In this context, electrically driven sources of non-classical states of light have a clear advantage over optically driven ones. Here we demonstrate the first electrically driven semiconductor source of ph

Harald Ebeling, Lauren N. Stephenson, Alastair C. Edge

Ram-pressure stripping by the gaseous intra-cluster medium has been proposed as the dominant physical mechanism driving the rapid evolution of galaxies in dense environments. Detailed studies of this process have, however, largely been limited to relatively modest examples affecting only the outermost gas layers of galaxies in nearby and/or low-mass galaxy c

Yasuyuki Nakajima, Paul Syers, Xiangfeng Wang, Renxiong Wang

Topological insulators, with metallic boundary states protected against time-reversal-invariant perturbations, are a promising avenue for realizing exotic quantum states of matter including various excitations of collective modes predicted in particle physics, such as Majorana fermions and axions. According to theoretical predictions, a topological insulatin

Doru Sticlet, Luis Seabra, Frank Pollmann, Jérôme Cayssol

We consider one-dimensional topological insulators hosting fractionally charged midgap states in the presence and absence of induced superconductivity pairing. Under the protection of a discrete symmetry, relating positive and negative energy states, the solitonic midgap states remain pinned at zero energy when superconducting correlations are induced by pro

Norihiro Iizuka, Akihiro Ishibashi, Kengo Maeda

We consider a persistent superconductor current along the direction with no translational symmetry in a holographic gravity model. Incorporating a lattice structure into the model, we numerically construct novel solutions of hairy charged stationary black brane with momentum/rotation along the latticed direction. The lattice structure prevents the horizon fr

David J. Clarke, Jason Alicea, Kirill Shtengel

Heterostructures formed by quantum Hall systems and superconductors have recently been shown to support widely coveted Majorana fermion zero-modes and still more exotic `parafermionic&#39; generalizations. Here we establish that probing such zero-modes using quantum Hall edge states yields non-local transport signatures that pave the way towards a variety of

Jost Tobias Springenberg, Martin Riedmiller

We present a probabilistic variant of the recently introduced maxout unit. The success of deep neural networks utilizing maxout can partly be attributed to favorable performance under dropout, when compared to rectified linear units. It however also depends on the fact that each maxout unit performs a pooling operation over a group of linear transformations

David P. Reichert, Thomas Serre

Deep learning has recently led to great successes in tasks such as image recognition (e.g Krizhevsky et al., 2012). However, deep networks are still outmatched by the power and versatility of the brain, perhaps in part due to the richer neuronal computations available to cortical circuits. The challenge is to identify which neuronal mechanisms are relevant,

Diederik P Kingma, Max Welling

How can we perform efficient inference and learning in directed probabilistic models, in the presence of continuous latent variables with intractable posterior distributions, and large datasets? We introduce a stochastic variational inference and learning algorithm that scales to large datasets and, under some mild differentiability conditions, even works in

Federico Piazza, Heinrich Steigerwald, Christian Marinoni

We use the effective field theory of dark energy to explore the space of modified gravity models which are capable of driving the present cosmic acceleration. We identify five universal functions of cosmic time that are enough to describe a wide range of theories containing a single scalar degree of freedom in addition to the metric. The first function (the

Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov

Attention has long been proposed by psychologists as important for effectively dealing with the enormous sensory stimulus available in the neocortex. Inspired by the visual attention models in computational neuroscience and the need of object-centric data for generative models, we describe for generative learning framework using attentional mechanisms. Atten

Nan Wang, Dirk Jancke, Laurenz Wiskott

Spontaneous cortical activity -- the ongoing cortical activities in absence of intentional sensory input -- is considered to play a vital role in many aspects of both normal brain functions and mental dysfunctions. We present a centered Gaussian-binary Deep Boltzmann Machine (GDBM) for modeling the activity in early cortical visual areas and relate the rando

N. L. Harshman

Spectroscopic labels for a few particles with spin that are harmonically trapped in one-dimension with effectively zero-range interactions are provided by quantum numbers that characterize the symmetries of the Hamiltonian: permutations of identical particles, parity inversion, and the separability of the center-of-mass. The exact solutions for the non-inter

Olga S. Sazhina, Diana Scognamiglio, Mikhail V. Sazhin

This paper is aimed at setting observational limits to the number of cosmic strings (Nambu-Goto, Abelian-Higgs, semilocal) and other topological defects (textures). Radio maps of CMB anisotropy, provided by the space mission Planck for various frequencies, were filtered and then processed by the method of convolution with modified Haar functions (MHF) to sea

Andrew M. Saxe, James L. McClelland, Surya Ganguli

Despite the widespread practical success of deep learning methods, our theoretical understanding of the dynamics of learning in deep neural networks remains quite sparse. We attempt to bridge the gap between the theory and practice of deep learning by systematically analyzing learning dynamics for the restricted case of deep linear neural networks. Despite t

Razvan Pascanu, Guido Montufar, Yoshua Bengio

This paper explores the complexity of deep feedforward networks with linear pre-synaptic couplings and rectified linear activations. This is a contribution to the growing body of work contrasting the representational power of deep and shallow network architectures. In particular, we offer a framework for comparing deep and shallow models that belong to the f

Bojan Pepik, Michael Stark, Peter Gehler, Bernt Schiele

While the majority of today&#39;s object class models provide only 2D bounding boxes, far richer output hypotheses are desirable including viewpoint, fine-grained category, and 3D geometry estimate. However, models trained to provide richer output require larger amounts of training data, preferably well covering the relevant aspects such as viewpoint and fin

Christian Döbler

Distributional transformations characterized by equations relating expectations of test functions weighted by a given biasing function on the original distribution to expectations of the test function&#39;s higher derivatives with respect to the transformed distribution play a great role in Stein&#39;s method and were, in great generality, first considered b

Zhiyi Chi

Let $F$ be a probability measure on $\mathbb{R}$ in the domain of attraction of a stable law with exponent $α\in (0, 1)$. We establish integral criteria on $F$ that significantly expand the probabilistic approach to Strong Renewal Theorems (SRTs). The criterion for $α\in (0,1/2]$ is much weaker than currently available ones and in some cases provides suffici

Heli Vora, Bent Nielsen, Xu Du

Graphene is a promising candidate for building fast and ultra-sensitive bolometric detectors due to its weak electron-phonon coupling and low heat capacity. In order to realize a practical graphene-based bolometer, several important issues, including the nature of radiation response, coupling efficiency to the radiation and the thermal conductance need to be

Balázs Kégl

Motivated by an abstract notion of low-level edge detector filters, we propose a simple method of unsupervised feature construction based on pairwise statistics of features. In the first step, we construct neighborhoods of features by regrouping features that correlate. Then we use these subsets as filters to produce new neighborhood features. Next, we conne

Stefan Sandfeld, Michael Zaiser

We investigate a minimal model of the plastic deformation of amorphous materials. The material elements are assumed to exhibit ideally plastic behavior (J2 plasticity). Structural disorder is considered in terms of random variations of the local yield stresses. Using a finite element implementation of this simple model, we simulate the plane-strain deformati

Ian J. Goodfellow, Yaroslav Bulatov, Julian Ibarz, Sacha Arnoud

Recognizing arbitrary multi-character text in unconstrained natural photographs is a hard problem. In this paper, we address an equally hard sub-problem in this domain viz. recognizing arbitrary multi-digit numbers from Street View imagery. Traditional approaches to solve this problem typically separate out the localization, segmentation, and recognition ste

Francesco Benini, Wolfger Peelaers

We show that the supersymmetric partition function of three-dimensional N=2 R-symmetric Chern-Simons-matter theories on the squashed S^3 and on S^2 x S^1 can be computed with the so-called Higgs branch localization method, alternative to the more standard Coulomb branch localization. For theories that could be completely Higgsed by Fayet-Iliopoulos terms, th

Honghao Shan, Garrison Cottrell

The human visual system has a hierarchical structure consisting of layers of processing, such as the retina, V1, V2, etc. Understanding the functional roles of these visual processing layers would help to integrate the psychophysiological and neurophysiological models into a consistent theory of human vision, and would also provide insights to computer visio

Gabriele Grillo, Matteo Muratori, Fabio Punzo

We prove existence and uniqueness of solutions to a class of porous media equations driven by the fractional Laplacian when the initial data are positive finite Radon measures on the Euclidean space. For given solutions without a prescribed initial condition, the problem of existence and uniqueness of the initial trace is also addressed. By the same methods

Sergey S. Poghosyan, Taksu Cheon

We study a set of scattering matrices of quantum graphs containing minimal number of passbands, i.e., maximal number of zero elements. The cases of even and odd vertex degree are considered. Using a solution of inverse scattering problem, we reconstruct boundary conditions of scale-invariant vertex couplings. Potential-controlled universal flat filtering pro

Paolo Creminelli, Jérôme Gleyzes, Lam Hui, Marko Simonović

The recently derived consistency relations for Large Scale Structure do not hold if the Equivalence Principle (EP) is violated. We show it explicitly in a toy model with two fluids, one of which is coupled to a fifth force. We explore the constraints that galaxy surveys can set on EP violation looking at the squeezed limit of the 3-point function involving t

Edward Anderson

Observables &#39;are observed&#39; whereas beables just &#39;are&#39;. This gives beables more scope in the cosmological and quantum domains. Both observables and beables are entities that form &#39;brackets&#39; with &#39;the constraints&#39; that are &#39;equal to&#39; zero. We explain how depending on circumstances, these could be, e.g., Poisson, Dirac, c

Alexandre Richard

Using structures of Abstract Wiener Spaces, we define a fractional Brownian field indexed by a product space $(0,1/2] \times L^2(T,m)$, $(T,m)$ a separable measure space, where the first coordinate corresponds to the Hurst parameter of fractional Brownian motion. This field encompasses a large class of existing fractional Brownian processes, such as Lévy fra

Yurii Belov, Yurii Lyubarskii

Let a sequence $Λ\subset\mathbb{C}$ be such that the corresponding system of exponential functions $\mathcal{E}(Λ):=\{e^{iλt}\}_{λ\inΛ}$ is complete and minimal in $L^2(-π,π)$ and thus each function $f\in L^2(-π,π)$ corresponds to a non-harmonic Fourier series in $\mathcal{E}(Λ)$. We prove that if the generating function $G$ of $Λ$ satisfies Muckenhoupt $(A_

M. Gromadzki, J. Mikolajewska, I. Soszynski

We present results of period analysis of ASAS, MACHO and OGLE light curves of 79 symbiotic stars classified as S and D&#39;-type. The light curves of 58 objects show variations with the orbital period. In case of 34 objects, orbital periods are estimated for the first time, what increases the number of symbiotic stars with known orbital periods by about 64 %

David Buchaca, Enrique Romero, Ferran Mazzanti, Jordi Delgado

Restricted Boltzmann Machines (RBMs) are general unsupervised learning devices to ascertain generative models of data distributions. RBMs are often trained using the Contrastive Divergence learning algorithm (CD), an approximation to the gradient of the data log-likelihood. A simple reconstruction error is often used to decide whether the approximation provi

Marco Ruggieri, Francesco Scardina, Salvatore Plumari, Vincenzo Greco

In this article we report on our results about the computation of the elliptic flow of the quark-gluon-plasma produced in relativistic heavy ion collisions, simulating the expansion of the fireball by solving the relativistic Boltzmann equation for the parton distribution function tuned at a fixed shear viscosity to entropy density ratio $η/s$. Our main goal

J. J. Back, G. J. Barker, S. B. Boyd, J. Einbeck

A local principal curve algorithm has been implemented in three dimensions for automated track and shower reconstruction of neutrino interactions in a liquid argon time projection chamber. We present details of the algorithm and characterise its performance on simulated data sets.

Matt Landreman, Håkan M Smith, Albert Mollén, Per Helander

In this work, we examine the validity of several common simplifying assumptions used in numerical neoclassical calculations for nonaxisymmetric plasmas, both by using a new continuum drift-kinetic code and by considering analytic properties of the kinetic equation. First, neoclassical phenomena are computed for the LHD and W7-X stellarators using several ver

Jeffrey Wildman, Pedro H J Nardelli, Matti Latva-aho, Steven Weber

We introduce a model for capturing the effects of beam misdirection on coverage and throughput in a directional wireless network using stochastic geometry. In networks employing ideal sector antennas without sidelobes, we find that concavity of the orientation error distribution is sufficient to prove monotonicity and quasi-concavity (both with respect to an

Tom Schaul, Ioannis Antonoglou, David Silver

Optimization by stochastic gradient descent is an important component of many large-scale machine learning algorithms. A wide variety of such optimization algorithms have been devised; however, it is unclear whether these algorithms are robust and widely applicable across many different optimization landscapes. In this paper we develop a collection of unit t

Mario Frank, Tiffany Hwu, Sakshi Jain, Robert Knight

Martinovic et al. proposed a Brain-Computer-Interface (BCI) -based attack in which an adversary is able to infer private information about a user, such as their bank or area-of-living, by analyzing the user&#39;s brain activities. However, a key limitation of the above attack is that it is intrusive, requiring user cooperation, and is thus easily detectable

J. P. Blocki, A. G. Magner, P. Ring

The nuclear isovector-dipole strength structure is analyzed in terms of the main and satellite (pygmy) peaks within the Fermi-liquid droplet model. Such a structure is sensitive to the value of the surface symmetry-energy constant obtained analytically for different Skyrme forces in the leptodermous effective surface approximation. Energies, sum rules and tr

A. Brudnyi, Y. Yomdin

The classical Remez inequality bounds the maximum of the absolute value of a real polynomial $P$ of degree $d$ on $[-1,1]$ through the maximum of its absolute value on any subset $Z\subset [-1,1]$ of positive Lebesgue measure. Extensions to several variables and to certain sets of Lebesgue measure zero, massive in a much weaker sense, are available. Still, g

Yann N. Dauphin, Gokhan Tur, Dilek Hakkani-Tur, Larry Heck

We propose a novel zero-shot learning method for semantic utterance classification (SUC). It learns a classifier $f: X \to Y$ for problems where none of the semantic categories $Y$ are present in the training set. The framework uncovers the link between categories and utterances using a semantic space. We show that this semantic space can be learned by deep

Flank D. Bezerra, Severino H. da Silva, Antonio L. Pereira

In this paper we consider the non local non autonomous evolution problem \[ \begin{cases} \partial_t u =- u + g \left(β(t)(Ku) \right)\ \ \mbox{in}\ \ Ω,\\ u = 0\ \ \mbox{in}\ \ \mathbb{R}^N\backslashΩ, \end{cases} \] where $Ω$ is a smooth bounded domain in $\mathbb{R}^N$, $β$ denotes the functional parameter given by a continuous bounded function on $\mathb

Alexander C. Tiegel, Salvatore R. Manmana, Thomas Pruschke, Andreas Honecker

We present a flexible density-matrix renormalization group approach to calculate finite-temperature spectral functions of one-dimensional strongly correlated quantum systems. The method combines the purification of the finite-temperature density operator with a moment expansion of the Green&#39;s function. Using this approach, we study finite-temperature pro