Publications associées à Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment

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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

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment

Graph Chatbot

Chattez avec Graph Search

Geometric Learning: Leveraging differential geometry for learning and control

A structured prediction approach for robot imitation learning

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

Reduced representations of complexes, signals, and multifiltrations

Collapse-invariant properties of spaces equipped with signals or directions

Realizing doubles: a conjugation zoo

UCLID-Net: Single View Reconstruction in Object Space

From Trees to Barcodes and Back Again: Theoretical and Statistical Perspectives

Better Guarantees for k-Means and Euclidean k-Median by Primal-Dual Algorithms

Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case

Reduced representations of complexes, signals, and multifiltrations

Collapse-invariant properties of spaces equipped with signals or directions

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

Geometric Learning: Leveraging differential geometry for learning and control

A structured prediction approach for robot imitation learning

Realizing doubles: a conjugation zoo

UCLID-Net: Single View Reconstruction in Object Space

Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case

Better Guarantees for k-Means and Euclidean k-Median by Primal-Dual Algorithms

From Trees to Barcodes and Back Again: Theoretical and Statistical Perspectives