English
Related papers

Related papers: Explaining enhanced UV divergence cancellations

200 papers

We use the duality between color and kinematics to simplify the construction of the complete four-loop four-point amplitude of N=4 super-Yang-Mills theory, including the nonplanar contributions. The duality completely determines the…

High Energy Physics - Theory · Physics 2012-10-17 Z. Bern , J. J. M. Carrasco , L. J. Dixon , H. Johansson , R. Roiban

Self-supervised learning (SSL) has empirically shown its data representation learnability in many downstream tasks. There are only a few theoretical works on data representation learnability, and many of those focus on final data…

Machine Learning · Computer Science 2024-01-09 Ruofeng Yang , Xiangyuan Li , Bo Jiang , Shuai Li

Recent experimental results showing untypical nonlinear absorption and marked deviations from well known universality in the low temperature acoustic and dielectric losses in amorphous solids prove the need for improving the understanding…

Disordered Systems and Neural Networks · Physics 2018-07-20 Moshe Schechter , Peter Nalbach , Alexander L. Burin

We investigate whether self-supervised learning (SSL) can improve online reinforcement learning (RL) from pixels. We extend the contrastive reinforcement learning framework (e.g., CURL) that jointly optimizes SSL and RL losses and conduct…

Machine Learning · Computer Science 2023-01-18 Xiang Li , Jinghuan Shang , Srijan Das , Michael S. Ryoo

Semi-Supervised Learning (SSL) is important for reducing the annotation cost for medical image segmentation models. State-of-the-art SSL methods such as Mean Teacher, FixMatch and Cross Pseudo Supervision (CPS) are mainly based on…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Weiren Zhao , Lanfeng Zhong , Xin Liao , Wenjun Liao , Sichuan Zhang , Shaoting Zhang , Guotai Wang

The finiteness properties of the N=4 supersymmetric Yang-Mills theory are reanalyzed both in the component formulation and using N=1 superfields, in order to discuss some subtleties that emerge in the computation of gauge dependent…

High Energy Physics - Theory · Physics 2009-10-31 Stefano Kovacs

In Self-Supervised Learning (SSL), it is known that frequent occurrences of the collision in which target data and its negative samples share the same class can decrease performance. Especially in real-world data such as crawled data or…

Machine Learning · Computer Science 2022-11-01 Won-Seok Choi , Dong-Sig Han , Hyundo Lee , Junseok Park , Byoung-Tak Zhang

A truncation of the SL(5) Exceptional Field Theory that allows to describe spacetimes of the form $M_4 \times M_7$ with the 4-form flux on $M_4$ is constructed. The resulting theory is used to test the recently proposed tri-vector…

High Energy Physics - Theory · Physics 2020-06-05 Ilya Bakhmatov , Kirill Gubarev , Edvard T. Musaev

We hereby introduce and extensively study a class of non-polynomial higher derivative theories of gravity that realize a ultraviolet (UV) completion of Einstein general relativity. These theories are unitary (ghost free) and at most only…

High Energy Physics - Theory · Physics 2018-09-03 Leonardo Modesto , Leslaw Rachwal

A least-squares neural network (LSNN) method was introduced for solving scalar linear and nonlinear hyperbolic conservation laws (HCLs) in [7, 6]. This method is based on an equivalent least-squares (LS) formulation and uses ReLU neural…

Numerical Analysis · Mathematics 2023-05-09 Zhiqiang Cai , Jingshuang Chen , Min Liu

Forthcoming imaging surveys will potentially increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of tens of millions of galaxies will have to be inspected to identify potential…

Astrophysics of Galaxies · Physics 2024-01-29 Euclid Collaboration , L. Leuzzi , M. Meneghetti , G. Angora , R. B. Metcalf , L. Moscardini , P. Rosati , P. Bergamini , F. Calura , B. Clément , R. Gavazzi , F. Gentile , M. Lochner , C. Grillo , G. Vernardos , N. Aghanim , A. Amara , L. Amendola , S. Andreon , N. Auricchio , S. Bardelli , C. Bodendorf , D. Bonino , E. Branchini , M. Brescia , J. Brinchmann , S. Camera , V. Capobianco , C. Carbone , J. Carretero , S. Casas , M. Castellano , S. Cavuoti , A. Cimatti , R. Cledassou , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , L. Corcione , F. Courbin , H. M. Courtois , M. Cropper , A. Da Silva , H. Degaudenzi , J. Dinis , F. Dubath , X. Dupac , S. Dusini , M. Farina , S. Farrens , S. Ferriol , M. Frailis , E. Franceschi , M. Fumana , S. Galeotta , B. Gillis , C. Giocoli , A. Grazian , F. Grupp , L. Guzzo , S. V. H. Haugan , W. Holmes , I. Hook , F. Hormuth , A. Hornstrup , P. Hudelot , K. Jahnke , B. Joachimi , M. Kümmel , E. Keihänen , S. Kermiche , A. Kiessling , T. Kitching , M. Kunz , H. Kurki-Suonio , P. B. Lilje , V. Lindholm , I. Lloro , D. Maino , E. Maiorano , O. Mansutti , O. Marggraf , K. Markovic , N. Martinet , F. Marulli , R. Massey , E. Medinaceli , S. Mei , M. Melchior , Y. Mellier , E. Merlin , G. Meylan , M. Moresco , E. Munari , S. -M. Niemi , J. W. Nightingale , T. Nutma , C. Padilla , S. Paltani , F. Pasian , K. Pedersen , V. Pettorino , S. Pires , G. Polenta , M. Poncet , F. Raison , A. Renzi , J. Rhodes , G. Riccio , E. Romelli , M. Roncarelli , E. Rossetti , R. Saglia , D. Sapone , B. Sartoris , M. Schirmer , P. Schneider , A. Secroun , G. Seidel , S. Serrano , C. Sirignano , G. Sirri , L. Stanco , P. Tallada-Crespí , A. N. Taylor , I. Tereno , R. Toledo-Moreo , F. Torradeflot , I. Tutusaus , L. Valenziano , T. Vassallo , A. Veropalumbo , Y. Wang , J. Weller , G. Zamorani , J. Zoubian , E. Zucca , A. Boucaud , E. Bozzo , C. Colodro-Conde , D. Di Ferdinando , R. Farinelli , J. Graciá-Carpio , N. Mauri , C. Neissner , V. Scottez , M. Tenti , A. Tramacere , Y. Akrami , V. Allevato , C. Baccigalupi , M. Ballardini , F. Bernardeau , A. Biviano , S. Borgani , A. S. Borlaff , H. Bretonnière , C. Burigana , R. Cabanac , A. Cappi , C. S. Carvalho , G. Castignani , T. Castro , K. C. Chambers , A. R. Cooray , J. Coupon , S. Davini , S. de la Torre , G. De Lucia , G. Desprez , S. Di Domizio , H. Dole , J. A. Escartin Vigo , S. Escoffier , I. Ferrero , L. Gabarra , K. Ganga , J. Garcia-Bellido , E. Gaztanaga , K. George , G. Gozaliasl , H. Hildebrandt , M. Huertas-Company , J. J. E. Kajava , V. Kansal , C. C. Kirkpatrick , L. Legrand , A. Loureiro , M. Magliocchetti , G. Mainetti , R. Maoli , M. Martinelli , C. J. A. P. Martins , S. Matthew , L. Maurin , P. Monaco , G. Morgante , S. Nadathur , A. A. Nucita , M. Pöntinen , L. Patrizii , V. Popa , C. Porciani , D. Potter , P. Reimberg , A. G. Sánchez , Z. Sakr , A. Schneider , M. Sereno , P. Simon , A. Spurio Mancini , J. Stadel , J. Steinwagner , R. Teyssier , J. Valiviita , M. Viel , I. A. Zinchenko , H. Domínguez Sánchez

Despite its empirical success, the theoretical foundations of self-supervised contrastive learning (CL) are not yet fully established. In this work, we address this gap by showing that standard CL objectives implicitly approximate a…

Machine Learning · Computer Science 2025-11-12 Achleshwar Luthra , Tianbao Yang , Tomer Galanti

From general arguments, we show that one-loop n-point amplitudes in colourless theories satisfy a new type of reduction formula. These lead to the existence of cancellations beyond supersymmetry. Using such reduction relations we prove the…

High Energy Physics - Theory · Physics 2010-02-03 N. E. J. Bjerrum-Bohr , Pierre Vanhove

Ultrasound (US) imaging is clinically invaluable due to its noninvasive and safe nature. However, interpreting US images is challenging, requires significant expertise, and time, and is often prone to errors. Deep learning offers assistive…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Edward Ellis , Andrew Bulpitt , Nasim Parsa , Michael F Byrne , Sharib Ali

Abelian quiver gauge theories provide nonsupersymmetric candidates for the conformality approach to physics beyond the standard model. Written as ${\cal N}=0$, $U(N)^n$ gauge theories, however, they have mixed $U(1)_p U(1)_q^2$ and $U(1)_p…

High Energy Physics - Theory · Physics 2008-11-26 Edoardo Di Napoli , Paul H. Frampton

We calculate the conformal anomaly from 5d Weyl gravity (with broken conformal symmetry) which is conjectured to be supergravity dual to ${\cal N}=2$ superconformal field theory via AdS/CFT correspondence. Its comparison with ${\cal N}=2$…

High Energy Physics - Theory · Physics 2009-09-17 Shin'ichi Nojiri , Sergei D. Odintsov

We examine five-dimensional $\mathcal N=2$ gauged supergravity including terms up to four derivatives. These additional terms correspond to the supersymmetric completion of $R^2$, and were originally obtained in hep-th/0611329 using…

High Energy Physics - Theory · Physics 2015-05-13 Sera Cremonini , Kentaro Hanaki , James T. Liu , Phillip Szepietowski

We compute the coefficient of the potential three-loop divergence in pure N=4 supergravity and show that it vanishes, contrary to expectations from symmetry arguments. The recently uncovered duality between color and kinematics is used to…

High Energy Physics - Theory · Physics 2013-05-30 Zvi Bern , Scott Davies , Tristan Dennen , Yu-tin Huang

We study various cases of dualities between $\cal{N}$$=1$ 5d supersymmetric gauge theories. We motivate the dualities using brane webs, and provide evidence for them by comparing the superconformal index. In many cases we find that the…

High Energy Physics - Theory · Physics 2015-06-22 Gabi Zafrir

The concept of self-dual supersymmetric nonlinear electrodynamics is generalized to a curved superspace of N = 1 supergravity, for both the old minimal and the new minimal versions of N = 1 supergravity. We derive the self-duality equation,…

High Energy Physics - Theory · Physics 2009-11-07 Sergei M. Kuzenko , Shane A. McCarthy
‹ Prev 1 8 9 10 Next ›