English
Related papers

Related papers: Recent developments from the loop-tree duality

200 papers

The study of thermal fluctuations in relativistic hydrodynamics has led to numerous important developments in the last decade. We present a bird's eye view of the recent advances on the theory of fluctuations on three fronts; stochastic…

High Energy Physics - Theory · Physics 2024-10-07 Gokce Basar

We construct new F-theory vacua in 8-dimensions. They are coming by projective realizations of F-theory on $K_3$ surfaces admitting double covers onto $\P^2$, branched along a plane sextic curve, the so called double sextics. The new vacua…

High Energy Physics - Theory · Physics 2007-05-23 Christos Epameinonda Kokorelis

The formal system $\lambda\delta$ is a typed lambda calculus derived from $\Lambda_\infty$, aiming to support the foundations of Mathematics that require an underlying theory of expressions (for example the Minimal Type Theory). The system…

Logic in Computer Science · Computer Science 2019-12-02 Ferruccio Guidi

We explore the symmetry structure of Type II Little String Theories and their T-dualities. We construct these theories both from the bottom-up perspective starting with seed Superconformal Field Theories, and from the top-down using…

High Energy Physics - Theory · Physics 2024-05-08 Florent Baume , Paul-Konstantin Oehlmann , Fabian Ruehle

We describe the recently developed on-shell bootstrap for computing one-loop amplitudes in non-supersymmetric theories such as QCD. The method combines the unitarity method with loop-level on-shell recursion. The unitarity method is used to…

High Energy Physics - Phenomenology · Physics 2008-11-26 Carola F. Berger , Zvi Bern , Lance J. Dixon , Darren Forde , David A. Kosower

The Bethe-Ansatz local density approximation (LDA) to lattice density functional theory (LDFT) for the one-dimensional repulsive Hubbard model is extended to current-LDFT (CLDFT). The transport properties of mesoscopic Hubbard rings…

Strongly Correlated Electrons · Physics 2010-12-30 A. Akande , S. Sanvito

Tensor-based multi-view clustering has recently received significant attention due to its exceptional ability to explore cross-view high-order correlations. However, most existing methods still encounter some limitations. (1) Most of them…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Deng Xu , Chao Zhang , Zechao Li , Chunlin Chen , Huaxiong Li

Maximally supersymmetric gauge theories have experienced renewed interest due to the AdS/CFT correspondence and its conjectured S-duality. These gauge theories possess a large amount of symmetry and have quasi-integrable properties. We…

High Energy Physics - Theory · Physics 2007-05-23 Gordon Chalmers

We propose a novel local subtraction scheme for the computation of Next-to-Leading Order contributions to theoretical predictions for scattering processes in perturbative Quantum Field Theory. With respect to well known schemes proposed…

High Energy Physics - Phenomenology · Physics 2021-07-01 Renato Maria Prisco , Francesco Tramontano

Block-structured problems are central to advances in numerical optimization and machine learning. This paper provides the formalization of convergence analysis for two pivotal algorithms in such settings: the block coordinate descent (BCD)…

Optimization and Control · Mathematics 2025-03-25 Chenyi Li , Zichen Wang , Yifan Bai , Yunxi Duan , Yuqing Gao , Pengfei Hao , Zaiwen Wen

High-dimensional chaotic dynamical systems can exhibit strongly transient features. These are often associated with instabilities that have finite-time duration. Because of the finite-time character of these transient events, their…

Dynamical Systems · Mathematics 2017-06-28 Hessam Babaee , Mohamad Farazmand , George Haller , Themistoklis P. Sapsis

In this thesis, we have investigated the higher twist structure functions in the recently developed method based on light-front Hamiltonian QCD. Because of various special properties of light-front QCD, this is a more intuitive approach…

High Energy Physics - Phenomenology · Physics 2007-05-23 Asmita Mukherjee

We develop a duality theory of locally recoverable codes (LRCs) and apply it to establish a series of new bounds on their parameters. We introduce and study a refined notion of weight distribution that captures the code's locality. Using a…

Information Theory · Computer Science 2023-09-08 Anina Gruica , Benjamin Jany , Alberto Ravagnani

We investigate the possible classification of zero-temperature spin-gapped phases of multicomponent electronic systems in one spatial dimension. At the heart of our analysis is the existence of non-perturbative duality symmetries which…

Strongly Correlated Electrons · Physics 2015-05-13 E. Boulat , P. Azaria , P. Lecheminant

Underdamped Langevin dynamics (ULD) is a widely-used sampler for Gibbs distributions $\pi\propto e^{-V}$, and is often empirically effective in high dimensions. However, existing non-asymptotic convergence guarantees for discretized ULD…

Machine Learning · Computer Science 2026-03-04 Shiyuan Zhang , Qiwei Di , Xuheng Li , Quanquan Gu

Despite rapid progress in scene segmentation in recent years, 3D segmentation methods are still limited when there is severe occlusion. The key challenge is estimating the segment boundaries of (partially) occluded objects, which are…

Robotics · Computer Science 2021-04-02 Andrew Price , Kun Huang , Dmitry Berenson

Alternative unsplit-filed-based absorbing boundary condition (ABC) computation approach for the finite-difference time-domain (FDTD) is efficiently proposed based on the deep differentiable forest. The deep differentiable forest (DDF) model…

Machine Learning · Computer Science 2020-04-13 Yingshi Chen , Naixing Feng

We review two novel techniques used to calculate tree-level scattering amplitudes efficiently: MHV diagrams, and on-shell recursion relations. For the MHV diagrams, we consider applications to tree-level amplitudes and focus in particular…

High Energy Physics - Theory · Physics 2015-05-27 Andreas Brandhuber , Bill Spence , Gabriele Travaglini

We introduce Uniform Manifold Approximation with Two-phase Optimization (UMATO), a dimensionality reduction (DR) technique that improves UMAP to capture the global structure of high-dimensional data more accurately. In UMATO, optimization…

Machine Learning · Computer Science 2023-01-03 Hyeon Jeon , Hyung-Kwon Ko , Soohyun Lee , Jaemin Jo , Jinwook Seo

I review the recent progress in studying long-distance singularities in gauge-theory scattering amplitudes in terms of Wilson lines. The non-Abelian exponentiation theorem, which has been recently generalised to the case of multi-leg…

High Energy Physics - Phenomenology · Physics 2014-01-03 Einan Gardi
‹ Prev 1 8 9 10 Next ›