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Riemannian neural networks have proven effective in solving a variety of machine learning tasks. The key to their success lies in the development of principled Riemannian analogs of fundamental building blocks in deep neural networks…

Machine Learning · Computer Science 2026-05-04 Xuan Son Nguyen , Nistor Grozavu

The present paper reviews and discusses work from computer science that proposes to identify concepts in internal representations (hidden layers) of DNNs. It is examined, first, how existing methods actually identify concepts that are…

Machine Learning · Computer Science 2023-11-06 Tim Räz

Extensions of nuclear physics to the strange sector are reviewed, covering data and models of Lambda and other hypernuclei, multi-strange matter, and anti-kaon bound states and condensation. Past achievements are highlighted, present…

Nuclear Theory · Physics 2016-09-21 A. Gal , E. V. Hungerford , D. J. Millener

The concept of a clone is central to many branches of mathematics, such as universal algebra, algebraic logic, and lambda calculus. Abstractly a clone is a category with two objects such that one is a countably infinite power of the other.…

Logic in Computer Science · Computer Science 2009-07-28 Zhaohua Luo

Recently, sub-indices and sub-factors of groups with connections to number theory, additive combinatorics, and factorization of groups have been introduced and studied. Since all group subsets are considered in the theory and there are many…

Group Theory · Mathematics 2023-10-06 M. H. Hooshmand , M. M. Yousefian Arani

The field-theory for multifractals in percolation is reformulated in such a way that multifractal exponents clearly appear as eigenvalues of a second renormalization group. The first renormalization group describes geometrical properties of…

Condensed Matter · Physics 2009-10-22 B. Fourcade , Jean Perrin

String theory and supersymmetry are theoretical ideas that go beyond the standard model of particle physics and show promise for unifying all forces. After a brief introduction to supersymmetry, we discuss the prospects for its experimental…

High Energy Physics - Theory · Physics 2008-11-26 John H. Schwarz , Nathan Seiberg

The article focuses on study of clan model parameters and their target dependence in light of void probability scaling for heavy (Ag and Br) and light (C, N and O) groups of targets present in nuclear emulsion detector using 84 Kr 36 at…

Nuclear Experiment · Physics 2015-06-16 M K Singh , A K Soma , V Singh , R Pathak

The negative binomial distribution is self similar: If the spectrum over the whole rapidity range gives rise to a negative binomial, in absence of correlation and if the source is unique, also a partial range in rapidity gives rise to the…

High Energy Physics - Phenomenology · Physics 2009-10-30 Giorgio Calucci , Daniele Treleani

Nominal logic is a variant of first-order logic that provides support for reasoning about bound names in abstract syntax. A key feature of nominal logic is the new-quantifier, which quantifies over fresh names (names not appearing in any…

Logic in Computer Science · Computer Science 2013-12-18 James Cheney

We focus on spectral clustering of unlabeled graphs and review some results on clustering methods which achieve weak or strong consistent identification in data generated by such models. We also present a new algorithm which appears to…

Statistics Theory · Mathematics 2015-08-11 Sharmodeep Bhattacharyya , Peter J. Bickel

The recently discovered coexistence of multifragmentation and residue production for the same total transverse energy of light charged particles can be well reproduced in numerical simulations of the heavy ion reactions. A detailed analysis…

Nuclear Theory · Physics 2008-11-26 A. Le Fevre , J. Aichelin

Fermionic unparticles are introduced and their basic properties are discussed. Some phenomenologies related are exploited, such as their effects on charged Higgs boson decays and anomalous magnetic moments of leptons. Also, it has been…

High Energy Physics - Phenomenology · Physics 2008-11-26 Mingxing Luo , Guohuai Zhu

The blog has several entries on group theory interacting with computability and wider logic, several open questions, and an entry on undecidability in physics.

Logic · Mathematics 2022-03-01 Andre Nies

Power nonnegative matrices are defined as complex matrices having at least one nonnegative integer power. We exploit the possibility of deriving a Perron Frobenius-like theory for these matrices, obtaining three main results and drawing…

Numerical Analysis · Mathematics 2013-11-21 F. Tudisco , V. Cardinali , C. Di Fiore

Computational complexity is a core theory of computer science, which dictates the degree of difficulty of computation. There are many problems with high complexity that we have to deal, which is especially true for AI. This raises a big…

Computational Complexity · Computer Science 2023-01-10 Chuyu Xiong

High-energy nucleus-nucleus collisions are studied in multi-chain model with successive collision. Analytic forms for single-particle distribution are derived.

Nuclear Theory · Physics 2012-05-08 Hujio Noda , Shin-Ichi Nakariki , Tsutomu Tashiro

I consider selected (most important according to my own choice) unsolved problems in particle theory, both those related to extensions of the Standard Model (neutrino oscillations, which probably do not fit the usual three-generation…

High Energy Physics - Phenomenology · Physics 2015-06-03 Sergey Troitsky

Solutions to the BBGKY hierarchy of equations for molecular Brownian particle in ideal gas are considered, and exact relations are derived between probability distribution of path of the particle, its derivatives in respect to gas density…

Mathematical Physics · Physics 2009-08-24 Yu. E. Kuzovlev

Recent theoretical developments revived the interest in charged particle multiplicities and their wide-spread parametrization, the negative binomial distribution (NBD). The central observable of the studies is the Shannon entropy of the…

High Energy Physics - Phenomenology · Physics 2026-05-19 Sándor Lökös
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