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Related papers: Localization from sigma-model geodesics

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In this paper we propose a real-time, calibration-agnostic and effective localization system for self-driving cars. Our method learns to embed the online LiDAR sweeps and intensity map into a joint deep embedding space. Localization is then…

Computer Vision and Pattern Recognition · Computer Science 2020-12-22 Ioan Andrei Bârsan , Shenlong Wang , Andrei Pokrovsky , Raquel Urtasun

We study supersymmetric gauge theories with an R-symmetry, defined on non-compact, hyperbolic, Riemannian three-manifolds, focusing on the case of a supersymmetry-preserving quotient of Euclidean AdS$_3$. We compute the exact partition…

High Energy Physics - Theory · Physics 2017-04-05 Benjamin Assel , Dario Martelli , Sameer Murthy , Daisuke Yokoyama

This paper introduces a new method for semi-supervised learning on high dimensional nonlinear manifolds, which includes a phase of unsupervised basis learning and a phase of supervised function learning. The learned bases provide a set of…

Machine Learning · Statistics 2009-06-30 Kai Yu , Tong Zhang

We study conditions under which an odd symmetry of the integrand leads to localization of the corresponding integral over a (super)manifold. We also show that in many cases these conditions guarantee exactness of the stationary phase…

High Energy Physics - Theory · Physics 2015-06-26 Albert Schwarz , Oleg Zaboronsky

We summarize semiclassical modeling methods, including drift-diffusion, kinetic transport equation and Monte Carlo simulation approaches, utilized in studies of spin dynamics and transport in semiconductor structures. As a review of the…

Mesoscale and Nanoscale Physics · Physics 2010-10-12 S. Saikin , Yu. V. Pershin , V. Privman

We introduce a novel generative model for the representation of joint probability distributions of a possibly large number of discrete random variables. The approach uses measure transport by randomized assignment flows on the statistical…

Machine Learning · Statistics 2025-01-15 Bastian Boll , Daniel Gonzalez-Alvarado , Stefania Petra , Christoph Schnörr

Most approaches that tackle the problem of node classification consider nodes to be similar, if they have shared neighbors or are close to each other in the graph. Recent methods for attributed graphs additionally take attributes of…

Machine Learning · Computer Science 2018-05-23 Evgeniy Faerman , Felix Borutta , Julian Busch , Matthias Schubert

The superconducting properties of a two-dimensional superconducting wire network with a new geometry have been measured as a function of the external magnetic field. The extreme localization effect recently predicted for this periodic…

Mesoscale and Nanoscale Physics · Physics 2009-10-31 B. Pannetier , C. C. Abilio , E. Serret , Th. Fournier , P. Butaud , J. Vidal

We construct supersymmetric deformations of general, locally supersymmetric, nonlinear sigma models in three spacetime dimensions, by extending the pure supergravity theory with a Chern-Simons term and gauging a subgroup of the sigma model…

High Energy Physics - Theory · Physics 2010-04-05 Bernard de Wit , Ivan Herger , Henning Samtleben

Determination of the symmetry property of superconducting gaps has been a central issue in studies to understand the mechanisms of unconventional superconductivity. Although it is often difficult to completely achieve the aforementioned…

Superconductivity · Physics 2022-02-03 Seishiro Ono , Ken Shiozaki

We propose a nonlinear sigma model for the description of quantum transport in a mesoscopic metallic conductor with magnetic impurities frozen in a spin glass phase. It accounts for the presence of both the corresponding scalar and magnetic…

Disordered Systems and Neural Networks · Physics 2015-05-13 Andrei A. Fedorenko , David Carpentier

We construct the generic phase diagrams encoding the topologically distinct localized and delocalized phases of noninteracting fermionic quasiparticles for any symmetry class from the tenfold way in one, two, and three dimensions. To this…

Mesoscale and Nanoscale Physics · Physics 2015-06-12 Takahiro Morimoto , Akira Furusaki , Christopher Mudry

Localization in the environment is an essential navigational capability for animals and mobile robots. In the indoor environment, the global localization problem remains challenging to be perfectly solved with probabilistic methods.…

Robotics · Computer Science 2021-09-28 Genghang Zhuang , Carlo Cagnetta , Zhenshan Bing , Kai Huang , Alois Knoll

We discuss the distribution of transmission eigenvalues in the strongly localized regime in the presence of both a magnetic field and spin--orbit scattering. We show that, under suitable conditions, this distribution can be described by a…

Condensed Matter · Physics 2015-06-25 M. Caselle

Our goal is to find classes of convolution semigroups on Lie groups $G$ that give rise to interesting processes in symmetric spaces $G/K$. The $K$-bi-invariant convolution semigroups are a well-studied example. An appealing direction for…

Probability · Mathematics 2017-03-02 David Applebaum

This paper proposes a novel approach for global localisation of mobile robots in large-scale environments. Our method leverages learning-based localisation and filtering-based localisation, to localise the robot efficiently and precisely…

Robotics · Computer Science 2020-07-17 Li Sun , Daniel Adolfsson , Martin Magnusson , Henrik Andreasson , Ingmar Posner , Tom Duckett

Localization methods are ubiquitous in cyclic homology theory, but vary in detail and are used in different scenarios. In this paper we will elaborate on a common feature of localization methods in noncommutative geometry, namely…

K-Theory and Homology · Mathematics 2022-12-29 Markus J. Pflaum

Localization properties of quasi-one dimensional quantum wire nanostructures are investigated using the transfer matrix-Lyapunov exponent technique. We calculate the localization length as a function of the effective mean-field mobility…

Condensed Matter · Physics 2016-08-31 Dongzi Liu , S. Das Sarma

We construct a large class of gauge theories with extended supersymmetry on four-dimensional manifolds with a Killing vector field and isolated fixed points. We extend previous results limited to super Yang-Mills theory to general…

High Energy Physics - Theory · Physics 2020-10-28 Guido Festuccia , Anastasios Gorantis , Antonio Pittelli , Konstantina Polydorou , Lorenzo Ruggeri

Starting from Gaussian random matrix models we derive a new supermatrix field theory model. In contrast to the conventional non-linear sigma models, the new model is applicable for any range of correlations of the elements of the random…

Mesoscale and Nanoscale Physics · Physics 2009-11-13 J. E. Bunder , K. B. Efetov , V. E. Kravtsov , O. M. Yevtushenko , M. R. Zirnbauer