Publications associées à Dimensional regularization

Riccardo Rattazzi, Alexander Monin, Eren Clément Firat, Matthew Thomas Walters

We consider correlators for the flux of energy and charge in the background of operators with large global U(1) charge in conformal field theory (CFT). It has recently been shown that the corresponding Euclidean correlators generically admit a semiclassica ...

Springer2024

Efficient local linearity regularization to overcome catastrophic overfitting

Volkan Cevher, Grigorios Chrysos, Fanghui Liu, Elias Abad Rocamora

Catastrophic overfitting (CO) in single-step adversarial training (AT) results in abrupt drops in the adversarial test accuracy (even down to 0%). For models trained with multi-step AT, it has been observed that the loss function behaves locally linearly w ...

2024

Regularization of polynomial networks for image recognition

Volkan Cevher, Grigorios Chrysos, Bohan Wang

Deep Neural Networks (DNNs) have obtained impressive performance across tasks, however they still remain as black boxes, e.g., hard to theoretically analyze. At the same time, Polynomial Networks (PNs) have emerged as an alternative method with a promising ...

2023

Regularization of polynomial networks for image recognition

Volkan Cevher, Grigorios Chrysos, Bohan Wang

Los Alamitos2023

Production of Chern-Simons bosons in decays of mesons

Kyrylo Bondarenko, Pavlo Kashko

We consider the effective interaction of quarks with a new GeV-scale vector particle that couples to electroweak gauge bosons by the so-called effective Chern-Simons (CS) interaction. We call this particle the CS boson. We construct effective Lagrangian of ...

IOP Publishing Ltd2022

Large Steps in Inverse Rendering of Geometry

Wenzel Alban Jakob, Baptiste Alexandre Marie Philippe Claude Nicolet

Inverse reconstruction from images is a central problem in many scientific and engineering disciplines. Recent progress on differentiable rendering has led to methods that can efficiently differentiate the full process of image formation with respect to mi ...

ASSOC COMPUTING MACHINERY2021

Feynman diagrams and the large charge expansion in 3-epsilon dimensions

Riccardo Rattazzi, Alexander Monin, Gil Badel, Gabriel Francisco Cuomo

In arXiv:1909.01269 it was shown that the scaling dimension of the lightest charge n operator in the U (1) model at the Wilson-Fisher fixed point in D = 4 - epsilon can be computed semiclassically for arbitrary values of lambda n, where lambda is the pertu ...

2020

Solving Continuous-Domain Problems Exactly with Multiresolution B-Splines

Michaël Unser, Julien René Pierre Fageot, Harshit Gupta, Thomas Jean Debarre

We propose a discretization method for continuous-domain linear inverse problems with multiple-order total-variation (TV) regularization. It is based on a recent result that proves that such inverse problems have sparse polynomial-spline solutions. Our met ...

IEEE2019

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Dimensional regularization

Flux correlators and semiclassics

Efficient local linearity regularization to overcome catastrophic overfitting

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

Production of Chern-Simons bosons in decays of mesons

Large Steps in Inverse Rendering of Geometry

Feynman diagrams and the large charge expansion in 3-epsilon dimensions

Accurate Nod and 3D Gaze Estimation for Social Interaction Analysis

Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings

Solving Continuous-Domain Problems Exactly with Multiresolution B-Splines

Graph Chatbot

Chattez avec Graph Search

Flux correlators and semiclassics

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

Production of Chern-Simons bosons in decays of mesons

Large Steps in Inverse Rendering of Geometry

Feynman diagrams and the large charge expansion in 3-epsilon dimensions

Solving Continuous-Domain Problems Exactly with Multiresolution B-Splines

Efficient local linearity regularization to overcome catastrophic overfitting

Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings

Accurate Nod and 3D Gaze Estimation for Social Interaction Analysis