Publications associées à Asymptotics for geometric combinatorial optimization problems

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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

Asymptotics for geometric combinatorial optimization problems

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Geometric Learning: Leveraging differential geometry for learning and control

Anomalous and Chern topological waves in hyperbolic networks

A method and system for optimizing design, implantation, and stimulation protocols of electrodes stimulating the nervous system

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control

Approximation Algorithms for Allocation and Network Design

Distributed Optimization with Byzantine Robustness Guarantees

A structured prediction approach for robot imitation learning

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

Multi-robot task allocation for safe planning against stochastic hazard dynamics

Geometric Learning: Leveraging differential geometry for learning and control

A method and system for optimizing design, implantation, and stimulation protocols of electrodes stimulating the nervous system

Approximation Algorithms for Allocation and Network Design

Multi-robot task allocation for safe planning against stochastic hazard dynamics

Distributed Optimization with Byzantine Robustness Guarantees

A structured prediction approach for robot imitation learning

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

Anomalous and Chern topological waves in hyperbolic networks

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control