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Related papers: Interpolative fusions II: Preservation results

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In string theory, the concept of T-duality between two principal T^n-bundles E_1 and E_2 over the same base space B, together with cohomology classes h_1\in H^3(E_1) and h_2\in H^3(E_2), has been introduced. One of the main virtues of…

Geometric Topology · Mathematics 2023-06-08 Ulrich Bunke , Philipp Rumpf , Thomas Schick

Boson condensation in topological quantum field theories (TQFT) has been previously investigated through the formalism of Frobenius algebras and the use of vertex lifting coefficients. While general, this formalism is physically opaque and…

Strongly Correlated Electrons · Physics 2016-03-22 Titus Neupert , Huan He , Curt von Keyserlingk , Germán Sierra , B. Andrei Bernevig

We present a novel theoretical framework for understanding the expressive power of normalizing flows. Despite their prevalence in scientific applications, a comprehensive understanding of flows remains elusive due to their restricted…

Machine Learning · Computer Science 2025-01-30 Felix Draxler , Stefan Wahl , Christoph Schnörr , Ullrich Köthe

We study expansions of NSOP$_1$ theories that preserve NSOP$_1$. We prove that if $T$ is a model complete NSOP$_1$ theory eliminating the quantifier $\exists^{\infty}$, then the generic expansion of $T$ by arbitrary constant, function, and…

Logic · Mathematics 2018-09-18 Alex Kruckman , Nicholas Ramsey

A microscopic theory for nuclear pairing is proposed through the generalized density matrix formalism. The analytical equations are as simple as that of the BCS theory, and could be solved within a similar computer time. The current theory…

Nuclear Theory · Physics 2015-06-15 L. Y. Jia

This paper is the third in an investigation begun in arXiv:1906.05602 and arXiv:1907.07571 of extending the T1 theorem of David and Journ\'e, and optimal cancellation conditions, to more general weight pairs. The main result here is that…

Classical Analysis and ODEs · Mathematics 2019-10-24 Eric T. Sawyer

Let K be an algebraically bounded structure and T be its theory. If T is model complete, then the theory of K endowed with a derivation, denoted by $T^{\delta}$, has a model completion. Additionally, we prove that if the theory T is…

Logic · Mathematics 2024-11-14 Fornasiero Antongiulio , Terzo Giuseppina

In a companion paper, equations for partially molten media were derived using two-scale homogenization theory. One advantage of homogenization is that material properties, such as permeability and viscosity, readily emerge. A caveat is that…

Geophysics · Physics 2015-05-13 Gideon Simpson , Marc Spiegelman , Michael I. Weinstein

We develop a flux-conservative formalism for a Newtonian multi-fluid system, including dissipation and entrainment (i.e. allowing the momentum of one fluid to be a linear combination of the velocities of all fluids). Maximum use is made of…

Fluid Dynamics · Physics 2016-09-08 Nils Andersson , G. L. Comer

We prove a result which gives sufficient conditions for a conformal annulus which is a countable union of nested conformal annuli to have bounded modulus. Our theorem also gives estimates for the modulus of such an annulus and is proved…

Complex Variables · Mathematics 2011-08-25 Mark Comerford

The Van Leer approach for the approximation of nonlinear scalar conservation laws is studied in one space dimension. The problem can be reduced to a nonlinear interpolation and we propose a convexity property for the interpolated values. We…

Numerical Analysis · Mathematics 2010-07-28 François Dubois

Discrete diffusion models are increasingly competitive for language modeling, yet it remains unclear how their denoising objectives organize learning. Although these objectives target the full data distribution, we show that the exact…

Machine Learning · Computer Science 2026-05-15 Adrian Müller , Antoine Gonon , Zebang Shen , Ya-Ping Hsieh , Niao He

Interactive Evolutionary Computation (IEC) provides a powerful framework for optimizing subjective criteria such as human preferences and aesthetics, yet it suffers from a fundamental limitation: in high-dimensional generative…

Artificial Intelligence · Computer Science 2026-04-17 Chisatao Kumada , Satoru Hiwa , Tomoyuki Hiroyasu

Data fusion describes the method of combining data from (at least) two initially independent data sources to allow for joint analysis of variables which are not jointly observed. The fundamental idea is to base inference on identifying…

Methodology · Statistics 2020-12-02 Florian Meinfelder , Jannik Schaller

This paper describes a recent mathematical method called conflation for consolidating data from independent experiments that are designed to measure the same quantity, such as Planck's constant or the mass of the top quark. Conflation is…

Data Analysis, Statistics and Probability · Physics 2015-05-19 Theodore P. Hill , Jack Miller

I review the capabilities of H$\alpha$ observations to constrain some aspects of the current models of the interstellar medium. In particular, it is shown that turbulence is a necessary ingredient of any viable model, since most of the…

Astrophysics · Physics 2015-06-24 Andrea Ferrara

Most existing learning-based multi-modality image fusion (MMIF) methods suffer from significant structure inconsistency due to their inappropriate usage of structural features at the semantic level. To alleviate these issues, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Qiao Yang , Yu Zhang , Yutong Chen , Jian Zhang , Shunli Zhang

The Turing instability paradigm is revisited in the context of a multispecies diffusion scheme derived from a self-consistent microscopic formulation. The analysis is developed with reference to the case of two species. These latter share…

Biological Physics · Physics 2012-07-02 Duccio Fanelli , Claudia Cianci , Francesca Di Patti

For a first-order theory $T$, the Constraint Satisfaction Problem of $T$ is the computational problem of deciding whether a given conjunction of atomic formulas is satisfiable in some model of $T$. In this article we develop sufficient…

Logic · Mathematics 2020-12-03 Manuel Bodirsky , Johannes Greiner

Image Fusion is the process in which core information from a set of component images is merged to form a single image, which is more informative and complete than the component input images in quality and appearance. This paper presents a…

Computer Vision and Pattern Recognition · Computer Science 2014-07-16 Haritha Raveendran , Deepa Thomas