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Related papers: Recent progress in PDF theory

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Integer relation algorithms can convert numerical results for Feynman integrals to exact evaluations, when one has reason to suspect the existence of reductions to linear combinations of a basis, with rational or algebraic coefficients.…

High Energy Physics - Phenomenology · Physics 2021-03-12 Kevin Acres , David Broadhurst

In recent years, deep metric learning and its probabilistic extensions claimed state-of-the-art results in the face verification task. Despite improvements in face verification, probabilistic methods received little attention in the…

Computer Vision and Pattern Recognition · Computer Science 2022-11-11 Ivan Karpukhin , Stanislav Dereka , Sergey Kolesnikov

Of late, the field of BFKL physics has been the subject of significant developments. The calculation of the NLL terms was recently completed, and they turned out to be very large. Techniques have been proposed to resum these corrections.…

High Energy Physics - Phenomenology · Physics 2014-11-17 Gavin P. Salam

Models of random phylogenetic networks have been used since the inception of the field, but the introduction and rigorous study of mathematically tractable models is a much more recent topic that has gained momentum in the last 5 years.…

Populations and Evolution · Quantitative Biology 2024-11-20 François Bienvenu

We survey several results known on sampling in computational geometry.

Computational Geometry · Computer Science 2009-08-27 Sariel Har-Peled

This note provides an interim summary of the current recommendations of the PDF4LHC working group for the use of parton distribution functions (PDFs) and of PDF uncertainties at the LHC, for cross section and cross section uncertainty…

We study the impact of the inclusion of Neutral Current (NC) DY data from LHC mapped in the Forward-Backward Asymmetry ($A_{\rm FB}$) observable on PDF uncertainties, using the open source platform \texttt{xFitter}. We find that $A_{\rm…

High Energy Physics - Phenomenology · Physics 2019-07-23 Juri Fiaschi , Elena Accomando , Francesco Hautmann , Stefano Moretti

Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusion of multiple probability density functions (pdfs) of a…

Signal Processing · Electrical Eng. & Systems 2023-01-20 Günther Koliander , Yousef El-Laham , Petar M. Djurić , Franz Hlawatsch

In this paper we study the logical foundations of automated inductive theorem proving. To that aim we first develop a theoretical model that is centered around the difficulty of finding induction axioms which are sufficient for proving a…

Logic in Computer Science · Computer Science 2023-06-22 Stefan Hetzl , Tin Lok Wong

We study the termination problem for probabilistic term rewrite systems. We prove that the interpretation method is sound and complete for a strengthening of positive almost sure termination, when abstract reduction systems and term rewrite…

Symbolic Computation · Computer Science 2018-02-28 Martin Avanzini , Ugo Dal Lago , Akihisa Yamada

The paper reports on first preliminary results and insights gained in a project aiming at implementing the fluent calculus using methods and techniques based on binary decision diagrams. After reporting on an initial experiment showing…

Artificial Intelligence · Computer Science 2007-05-23 Steffen Hoelldobler , Hans-Peter Stoerr

We study a new model theory for formal mathematical systems that we developed in a previous paper. We introduce isomorphic and homomorphic structures for formal languages, present some results and examples and conclude our paper with a…

Logic · Mathematics 2026-05-07 Matthias Kunik

Text embedding methods have become increasingly popular in both industrial and academic fields due to their critical role in a variety of natural language processing tasks. The significance of universal text embeddings has been further…

Information Retrieval · Computer Science 2024-06-21 Hongliu Cao

Random processes play a crucial role in scientific research, often characterized by distribution functions or probability density functions (PDFs). These PDFs serve as essential approximations of the actual and frequently undisclosed…

Methodology · Statistics 2023-06-06 Nico Schick

This document is intended as a study of benchmark cross sections at the LHC (at 7 TeV) at NLO using modern parton distribution functions currently available from the 6 PDF fitting groups that have participated in this exercise. It also…

We report on progress concerning the partial wave analysis of higher correlation functions in conformal quantum field theory.

Mathematical Physics · Physics 2013-05-29 Christoph Neumann , Karl-Henning Rehren , Lena Wallenhorst

In this paper we demonstrate that multi-modal Probability Distribution Functions (PDFs) may be efficiently sampled using an algorithm originally developed for numerical integrations by Monte-Carlo methods. This algorithm can be used to…

Computational Physics · Physics 2009-10-31 K. J. Abraham , L. M. Haines

The talk contains a brief introduction string theory, followed by a discussion of some of the recent developments.

High Energy Physics - Lattice · Physics 2009-09-15 Ashoke Sen

We summarise the main results from a number of our recent articles on the subject of probabilistic temperature forecasting.

Atmospheric and Oceanic Physics · Physics 2007-05-23 Stephen Jewson

We confirm recently proposed theorems for the structure of next-to-soft corrections in gauge and gravity theories using diagrammatic techniques, first developed for use in QCD phenomenology. Our aim is to provide a useful alternative…

High Energy Physics - Theory · Physics 2015-06-22 C. D. White
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