English
Related papers

Related papers: Explaining enhanced UV divergence cancellations

200 papers

Continuous unsupervised representation learning (CURL) research has greatly benefited from improvements in self-supervised learning (SSL) techniques. As a result, existing CURL methods using SSL can learn high-quality representations…

Machine Learning · Computer Science 2023-09-13 Alex Gomez-Villa , Bartlomiej Twardowski , Kai Wang , Joost van de Weijer

We establish a relation between time-like, light-like and space-like orbits of the non-compact E{7(7)}(R)symmetry and discrete E{7(7)}(Z) invariants. We discuss the U-duality invariant formula for the degeneracy of states d(Q) which in the…

High Energy Physics - Theory · Physics 2010-06-25 Massimo Bianchi , Sergio Ferrara , Renata Kallosh

The abundance of infrared singularities in gauge theories due to unresolved emission of massless particles (soft and collinear) represents the main difficulty in perturbative calculations. They are typically regularized in dimensional…

High Energy Physics - Phenomenology · Physics 2016-03-23 Roger J. Hernandez-Pinto , German F. R. Sborlini , German Rodrigo

We review the remarkable interplay between modular symmetries and supergravity, which has led to major advances in both physics and mathematics in recent decades. Our focus will be on four-dimensional models with $\mathcal{N}=1$ and…

High Energy Physics - Theory · Physics 2024-11-12 Niccolò Cribiori , Dieter Lust

Deep learning has been widely and actively used in various research areas. Recently, in the gauge/gravity duality, a new deep learning technique so-called the AdS/Deep-Learning (DL) has been proposed [1, 2]. The goal of this paper is to…

Classical Physics · Physics 2021-09-01 Mugeon Song , Maverick S. H. Oh , Yongjun Ahn , Keun-Young Kim

In four dimensions, it has long been established that gravity coupled to matter exhibits ultraviolet divergences at one loop, irrespective of supersymmetry. Notably, the four-matter one-loop amplitudes of half-maximal supergravity coupled…

High Energy Physics - Theory · Physics 2026-04-02 Yu-tin Huang , Henrik Johansson , Michele Santagata , Congkao Wen

Self-supervised learning (SSL) is an emerging paradigm that exploits supervisory signals generated from the data itself, and many recent studies have leveraged SSL to conduct graph anomaly detection. However, we empirically found that three…

Machine Learning · Computer Science 2025-07-01 Zhong Li , Yuhang Wang , Matthijs van Leeuwen

String theory implies that field theories containing gravity are in a certain sense `products' of gauge theories. We make this product structure explicit up to two loops for the relatively simple case of N=8 supergravity four-point…

High Energy Physics - Theory · Physics 2010-11-15 Z. Bern , L. Dixon , D. C. Dunbar , M. Perelstein , J. S. Rozowsky

Using the method of maximal cuts, we obtain a form of the three-loop four-point scattering amplitude of N=8 supergravity in which all ultraviolet cancellations are made manifest. The Feynman loop integrals that appear have a graphical…

High Energy Physics - Theory · Physics 2009-11-13 Z. Bern , J. J. M. Carrasco , L. J. Dixon , H. Johansson , R. Roiban

Self-supervised learning (SSL) approaches have brought tremendous success across many tasks and domains. It has been argued that these successes can be attributed to a link between SSL and identifiable representation learning: Temporal…

Machine Learning · Statistics 2025-06-03 Rodrigo González Laiz , Tobias Schmidt , Steffen Schneider

Despite the empirical successes of self-supervised learning (SSL) methods, it is unclear what characteristics of their representations lead to high downstream accuracies. In this work, we characterize properties that SSL representations…

Machine Learning · Computer Science 2022-12-13 Yann Dubois , Tatsunori Hashimoto , Stefano Ermon , Percy Liang

Self-supervised learning (SSL) has rapidly emerged as a transformative approach in computer vision, enabling the extraction of rich feature representations from vast amounts of unlabeled data and reducing reliance on costly manual…

Computer Vision and Pattern Recognition · Computer Science 2025-05-19 Nikolaos Giakoumoglou , Tania Stathaki , Athanasios Gkelias

Commutative four dimensional supersymmetric Yang-Mills (SYM) is known to be renormalizable for ${\mathcal N} = 1, 2$, and finite for ${\mathcal N} = 4$. However, in the noncommutative version of the model the UV/IR mechanism gives rise to…

High Energy Physics - Theory · Physics 2009-11-10 A. F. Ferrari , H. O. Girotti , M. Gomes , A. Yu. Petrov , A. A. Ribeiro , V. O. Rivelles , A. J. da Silva

We explore the possibility to explain the LSND result in the context of extra-dimensional theories. If sterile neutrinos take shortcuts through extra dimensions, this results in altered neutrino dispersion relations. Active-sterile neutrino…

High Energy Physics - Phenomenology · Physics 2015-05-14 Sebastian Hollenberg , Octavian Micu , Heinrich Päs , Thomas J. Weiler

Self-supervised learning (SSL) has gained remarkable success, for which contrastive learning (CL) plays a key role. However, the recent development of new non-CL frameworks has achieved comparable or better performance with high improvement…

Computer Vision and Pattern Recognition · Computer Science 2023-09-22 Thanh Nguyen , Trung Pham , Chaoning Zhang , Tung Luu , Thang Vu , Chang D. Yoo

A major limitation in applying deep learning to artificial intelligence (AI) systems is the scarcity of high-quality curated datasets. We investigate strong augmentation based self-supervised learning (SSL) techniques to address this…

Image and Video Processing · Electrical Eng. & Systems 2022-03-18 John D. Miller , Vignesh A. Arasu , Albert X. Pu , Laurie R. Margolies , Weiva Sieh , Li Shen

Structured low-rank (SLR) algorithms, which exploit annihilation relations between the Fourier samples of a signal resulting from different properties, is a powerful image reconstruction framework in several applications. This scheme relies…

Machine Learning · Computer Science 2020-08-11 Aniket Pramanik , Hemant Aggarwal , Mathews Jacob

All maximal supergravities in four space-time dimensions are presented. The ungauged Lagrangians can be encoded in an E_7(7)\Sp(56,R)/GL(28) matrix associated with the freedom of performing electric/magnetic duality transformations. The…

High Energy Physics - Theory · Physics 2009-11-13 Bernard de Wit , Henning Samtleben , Mario Trigiante

I formulate several statements demonstrating that the local metric redefinition can be used to reduce the UV divergences present in the quantum action for the Einstein gravity in $d=4$ dimensions. In its most general form, the proposal is…

High Energy Physics - Theory · Physics 2016-02-17 Sergey N. Solodukhin

We study the processes \gamma \e -> \gamma \e and \gamma \gamma -> \gamma \gamma, in the context of the proposal for Weak Scale Quantum Gravity (WSQG) with large extra dimensions. With an ultraviolet cutoff $M_S \sim 1$ TeV for the…

High Energy Physics - Phenomenology · Physics 2015-06-25 Hooman Davoudiasl