English
Related papers

Related papers: Snowmass White Paper: The Numerical Conformal Boot…

200 papers

In previous work, a class of noninvertible topological dynamical systems $f: X \to X$ was introduced and studied; we called these {\em topologically coarse expanding conformal} systems. To such a system is naturally associated a preferred…

Dynamical Systems · Mathematics 2013-02-11 Peter Haissinsky , Kevin M. Pilgrim

Conformal testing is a way of testing the IID assumption based on conformal prediction. The topic of this note is computational evaluation of the performance of conformal testing in a model situation in which IID binary observations…

Machine Learning · Computer Science 2021-04-06 Vladimir Vovk

This work introduces a scaffolding framework to compactly parametrise solid structures with conforming NURBS elements for isogeometric analysis. A novel formulation introduces a topological, geometrical and parametric subdivision of the…

Computational Geometry · Computer Science 2022-06-10 Stefano Moriconi , Parashkev Nachev , Sebastien Ourselin , M. Jorge Cardoso

We introduce a class of conformal versions of the previously introduced quasi-conformal carpet cloak, and show how to construct such conformal cloaks for different cloak shapes. Our method provides exact refractive-index profiles in closed…

Optics · Physics 2017-08-23 Roman Schmied , Jad C. Halimeh , Martin Wegener

We discuss an idea of how 3D critical exponents can be determined by Conformal Field Theory techniques.

High Energy Physics - Theory · Physics 2011-11-10 Slava Rychkov

In this brief White Paper we glance over the studies carried out so far by the CMS Collaboration in the field of conventional and exotic hadron spectroscopy. We highlight the most relevant scientific achievements and discuss the future…

High Energy Physics - Experiment · Physics 2022-05-10 Ruslan Chistov , Vaia Papadimitriou , Sergey Polikarpov , Alexis Pompili , Alberto Sanchez-Hernandez

The article contains a brief description on the study of conformal scalar curvature equations, and discusses selected topics and questions concerning the equations in open spaces.

Differential Geometry · Mathematics 2007-05-23 Man Chun Leung

Conformal prediction is a model-agnostic approach to generating prediction sets that cover the true class with a high probability. Although its prediction set size is expected to capture aleatoric uncertainty, there is a lack of evidence…

Machine Learning · Computer Science 2025-11-24 Misgina Tsighe Hagos , Claes Lundström

It is constructed a formal normal form, using an iterative normalization procedure, for a large class of Real-Smooth Hypersurfaces in Complex Spaces.

Complex Variables · Mathematics 2021-08-24 Valentin Burcea

We give an informal, expository account of a project to construct completions of period maps.

Algebraic Geometry · Mathematics 2023-08-16 Mark L Green , Phillip Griffiths , Colleen Robles

This document presents (off-line) computing requrements and challenges for Cosmic Frontier science, covering the areas of data management, analysis, and simulations. We invite contributions to extend the range of covered topics and to…

We investigate a conformal-like transformation for which the spacetime interval is invariant.

General Physics · Physics 2018-09-24 D. N. Coumbe

The performance of basis sets made of numerical atomic orbitals is explored in density-functional calculations of solids and molecules. With the aim of optimizing basis quality while maintaining strict localization of the orbitals, as…

Materials Science · Physics 2009-11-07 Javier Junquera , Oscar Paz , Daniel Sanchez-Portal , Emilio Artacho

Conformal prediction has become increasingly popular for quantifying the uncertainty associated with machine learning models. Recent work in graph uncertainty quantification has built upon this approach for conformal graph prediction. The…

Machine Learning · Computer Science 2025-05-21 Pranav Maneriker , Aditya T. Vadlamani , Anutam Srinivasan , Yuntian He , Ali Payani , Srinivasan Parthasarathy

The smooth bootstrap for estimating copula functionals in small samples is investigated. It can be used both to gauge the distribution of the estimator in question and to augment the data. Issues arising from kernel density and distribution…

Computation · Statistics 2022-03-28 Maximilian Coblenz , Oliver Grothe , Klaus Herrmann , Marius Hofert

This is the report of the Snowmass 2013 Computing Frontier Working Group on Distributed Computing and Facility Infrastructures.

Computational Physics · Physics 2013-11-13 Kenneth Bloom , Richard Gerber

Conformal prediction offers a distribution-free framework for constructing prediction sets with coverage guarantees. In practice, multiple valid conformal prediction sets may be available, arising from different models or methodologies.…

Machine Learning · Statistics 2025-06-26 Mahmoud Hegazy , Liviu Aolaritei , Michael I. Jordan , Aymeric Dieuleveut

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the…

Emerging Technologies · Computer Science 2025-01-17 Daniel Brunner , Bhavin J. Shastri , Mohammed A. Al Qadasi , H. Ballani , Sylvain Barbay , Stefano Biasi , Peter Bienstman , Simon Bilodeau , Wim Bogaerts , Fabian Böhm , G. Brennan , Sonia Buckley , Xinlun Cai , Marcello Calvanese Strinati , B. Canakci , Benoit Charbonnier , Mario Chemnitz , Yitong Chen , Stanley Cheung , Jeff Chiles , Suyeon Choi , Demetrios N. Christodoulides , Lukas Chrostowski , J. Chu , J. H. Clegg , D. Cletheroe , Claudio Conti , Qionghai Dai , Luigi Di Lauro , Nikolaos Panteleimon Diamantopoulos , Niyazi Ulas Dinc , Jacob Ewaniuk , Shanhui Fan , Lu Fang , Riccardo Franchi , Pedro Freire , Silvia Gentilini , Sylvain Gigan , Gian Luca Giorgi , C. Gkantsidis , J. Gladrow , Elena Goi , M. Goldmann , A. Grabulosa , Min Gu , Xianxin Guo , Matěj Hejda , F. Horst , Jih Liang Hsieh , Jianqi Hu , Juejun Hu , Chaoran Huang , Antonio Hurtado , Lina Jaurigue , K. P. Kalinin , Morteza Kamalian Kopae , D. J. Kelly , Mercedeh Khajavikhan , H. Kremer , Jeremie Laydevant , Joshua C. Lederman , Jongheon Lee , Daan Lenstra , Gordon H. Y. Li , Mo Li , Yuhang Li , Xing Lin , Zhongjin Lin , Mieszko Lis , Kathy Lüdge , Alessio Lugnan , Alessandro Lupo , A. I. Lvovsky , Egor Manuylovich , Alireza Marandi , Federico Marchesin , Serge Massar , Adam N. McCaughan , Peter L. McMahon , Miltiadis Moralis Pegios , Roberto Morandotti , Christophe Moser , David J. Moss , Avilash Mukherjee , Mahdi Nikdast , B. J. Offrein , Ilker Oguz , Bakhrom Oripov , G. O'Shea , Aydogan Ozcan , F. Parmigiani , Sudeep Pasricha , Fabio Pavanello , Lorenzo Pavesi , Nicola Peserico , L. Pickup , Davide Pierangeli , Nikos Pleros , Xavier Porte , Bryce A. Primavera , Paul Prucnal , Demetri Psaltis , Lukas Puts , Fei Qiao , B. Rahmani , Fabrice Raineri , Carlos A. Ríos Ocampo , Joshua Robertson , Bruno Romeira , Charles Roques Carmes , Nir Rotenberg , A. Rowstron , Steffen Schoenhardt , Russell L . T. Schwartz , Jeffrey M. Shainline , Sudip Shekhar , Anas Skalli , Mandar M. Sohoni , Volker J. Sorger , Miguel C. Soriano , James Spall , Ripalta Stabile , Birgit Stiller , Satoshi Sunada , Anastasios Tefas , Bassem Tossoun , Apostolos Tsakyridis , Sergei K. Turitsyn , Guy Van der Sande , Thomas Van Vaerenbergh , Daniele Veraldi , Guy Verschaffelt , E. A. Vlieg , Hao Wang , Tianyu Wang , Gordon Wetzstein , Logan G. Wright , Changming Wu , Chu Wu , Jiamin Wu , Fei Xia , Xingyuan Xu , Hangbo Yang , Weiming Yao , Mustafa Yildirim , S. J. Ben Yoo , Nathan Youngblood , Roberta Zambrini , Haiou Zhang , Weipeng Zhang

The NF09 topical group was charged with soliciting input to Snowmass on the topic of artificial neutrino sources. In this report, we attempt to catalogue all new or upgraded artificial neutrino sources that are being considered by the…

High Energy Physics - Experiment · Physics 2022-09-16 L. Fields , A. D. Marino , J. P. Ochoa-Ricoux , J. Spitz

This technical report provides proofs for the claims in the paper "A Full Picture in Conformance Checking: Efficiently Summarizing All Optimal Alignments".

Information Theory · Computer Science 2025-06-13 Philipp Bär , Moe T. Wynn , Sander J. J. Leemans