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Sparse data models, where data is assumed to be well represented as a linear combination of a few elements from a dictionary, have gained considerable attention in recent years, and their use has led to state-of-the-art results in many…

Information Theory · Computer Science 2015-03-13 Ignacio Ramirez , Guillermo Sapiro

We present a framework for analyzing non-linear $\mathbb{R}^d$-valued subdivision schemes which are geometric in the sense that they commute with similarities in $\mathbb{R}^d$. It admits to establish $C^{1,\alpha}$-regularity for arbitrary…

Metric Geometry · Mathematics 2014-01-27 T. Ewald , U. Reif , M. Sabin

An extension of the non-local regularization scheme is formulated in the Sp(2) symmetric Lagrangian BRST quantization framework. It generates a systematic treatment of the anomalous quantum master equations and allows to substract the…

High Energy Physics - Theory · Physics 2007-05-23 V. Calian , G. Stoenescu

Quantum field theory in curved space-times is a well developed area in mathematical physics which has had important phenomenological applications to the very early universe. However, it is not commonly appreciated that on time dependent…

General Relativity and Quantum Cosmology · Physics 2015-07-27 Ivan Agullo , Abhay Ashtekar

The mathematical description of stable particle-like systems appearing in relativistic quantum field theory at large, respectively small scales or non-zero temperatures is discussed.

High Energy Physics - Theory · Physics 2007-05-23 Detlev Buchholz

We study the Hadamard finite part of divergent integrals of differential forms with singularities on submanifolds. We give formulae for the dependence of the finite part on the choice of regularization and express them in terms of a…

Mathematical Physics · Physics 2016-11-17 Giovanni Felder , David Kazhdan

This paper analyzes regularization terms proposed recently for improving the adversarial robustness of deep neural networks (DNNs), from a theoretical point of view. Specifically, we study possible connections between several effective…

Machine Learning · Computer Science 2020-07-07 Yiwen Guo , Long Chen , Yurong Chen , Changshui Zhang

Through defining irreducible loop integrals (ILIs), a set of consistency conditions for the regularized (quadratically and logarithmically) divergent ILIs are obtained to maintain the generalized Ward identities of gauge invariance in…

High Energy Physics - Theory · Physics 2009-11-07 Yue-Liang Wu

We give an overview of invariants of algebraic singularities over perfect fields. We then show how they lead to a synthetic proof of embedded resolution of singularities of 2-dimensional schemes.

Algebraic Geometry · Mathematics 2011-10-04 Angélica Benito , Orlando E. Villamayor

We prove some new results which justify the use of interval truncation as a means of regularising a singular fourth order Sturm-Liouville problem near a singular endpoint. Of particular interest are the results in the so called lim-3 case,…

Spectral Theory · Mathematics 2007-05-23 Malcolm Brown , Leon Greenberg , Marco Marletta

A certain pattern of divergence of perturbative expansions in quantum field theories, related to their small and large momentum behaviour, is known as renormalons. We review formal and phenomenological aspects of renormalon divergence. We…

High Energy Physics - Phenomenology · Physics 2014-11-17 M. Beneke

We study the structure of renormalons in the Heavy Quark Effective Theory, by expanding the heavy quark propagator in powers of $1/m_Q$. We demonstrate that the way in which renormalons appear depends on the regularisation scheme used to…

High Energy Physics - Phenomenology · Physics 2016-09-01 G. Martinelli , M. Neubert , C. T. Sachrajda

We recall a natural framework to deal with local field theory in which bare amplitudes are completely finite. We first present the main general properties of this scheme, the so-called Taylor-Lagrange regularization scheme. We then…

High Energy Physics - Theory · Physics 2013-03-04 Jean-François Mathiot

The standard way to do computations in Quantum Field Theory (QFT) often results in the requirement of dramatic cancellations between contributions induced by a "heavy" sector into the physical observables of the "light" (or low energy)…

High Energy Physics - Theory · Physics 2023-05-03 Sander Mooij , Mikhail Shaposhnikov

In addition to the diagonalization of a normal matrix by a unitary similarity transformation, there are two other types of diagonalization procedures that sometimes arise in quantum theory applications -- the singular value decomposition…

High Energy Physics - Phenomenology · Physics 2021-02-26 Howard E. Haber

A new approximation scheme for nonperturbative renormalisation group equations for quantum gravity is introduced. Correlation functions of arbitrarily high order can be studied by resolving the full dependence of the renormalisation group…

High Energy Physics - Theory · Physics 2018-05-16 Benjamin Knorr

We consider two possible zeta-function regularization schemes of quantum Liouville theory. One refers to the Laplace-Beltrami operator covariant under conformal transformations, the other to the naive non invariant operator. The first…

High Energy Physics - Theory · Physics 2008-11-26 Pietro Menotti

We develop and discuss an infrared-finite factorization and optimized renormalization scheme for calculating exclusive processes which enables the inclusion of transverse degrees of freedom without entailing suppression of calculated…

High Energy Physics - Phenomenology · Physics 2007-05-23 N. G. Stefanis , W. Schroers , H. -Ch. Kim

A series of successive quantizations is considered, starting with the quantization of a non relativistic or relativistic point particle: 1) quantization of a particle's position, 2) quantization of wave function, 3) quantization of wave…

High Energy Physics - Theory · Physics 2019-09-04 Matej Pavšič

Regularization by Denoising (RED), as recently proposed by Romano, Elad, and Milanfar, is powerful image-recovery framework that aims to minimize an explicit regularization objective constructed from a plug-in image-denoising function.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-02 Edward T. Reehorst , Philip Schniter