Publications associées à Géométrie non euclidienne

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Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Sabine Süsstrunk, Mathieu Salzmann, Yulun Jiang, Chen Liu, Zhuoyi Huang

We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

2023

Géométrie non euclidienne

Graph Chatbot

Chattez avec Graph Search

A multi scale consolidation model for press moulding of hybrid textiles into complex geometries

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control

Some Physical Implications Of Absolute Geometries In The Description Of Complex Systems Dynamics

Comparing the Buckling Strength of Spherical Shells With Dimpled Versus Bumpy Defects

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment

T-5 configurations and hyperbolic systems

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

A structured prediction approach for robot imitation learning

RADCAM-A radiation camera system combining foil bolometers, AXUV diodes, and filtered soft x-ray diodes

Relative, local and global dimension in complex networks

T-5 configurations and hyperbolic systems

Some Physical Implications Of Absolute Geometries In The Description Of Complex Systems Dynamics

Comparing the Buckling Strength of Spherical Shells With Dimpled Versus Bumpy Defects

A multi scale consolidation model for press moulding of hybrid textiles into complex geometries

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control

Relative, local and global dimension in complex networks

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

RADCAM-A radiation camera system combining foil bolometers, AXUV diodes, and filtered soft x-ray diodes

A structured prediction approach for robot imitation learning