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Publications associées (32)

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Multiple testing with test statistics following heavy-tailed distributions

Zhiwen Jiang

In multiple testing problems where the components come from a mixture model of noise and true effect, we seek to first test for the existence of the non-zero components, and then identify the true alternatives under a fixed significance level

\alpha

. Two ...

EPFL2021

Loi de Lévy

Graph Chatbot

Chattez avec Graph Search

Towards Robust Vision Transformer

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

Considerations on the partial safety factor format for reinforced concrete structures accounting for multiple failure modes

Robustness and invariance properties of image classifiers

Continual Test-Time Domain Adaptation

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Effect of collisions on non-adiabatic electron dynamics in ITG-driven microturbulence

Born to be different: the formation process of Cu nanoparticles tunes the size trend of the activity for CO2 to CH4 conversion

Multiple testing with test statistics following heavy-tailed distributions

Robustness via Cross-Domain Ensembles

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

Towards Robust Vision Transformer

Robustness and invariance properties of image classifiers

Considerations on the partial safety factor format for reinforced concrete structures accounting for multiple failure modes

Born to be different: the formation process of Cu nanoparticles tunes the size trend of the activity for CO2 to CH4 conversion

Multiple testing with test statistics following heavy-tailed distributions

Robustness via Cross-Domain Ensembles

Effect of collisions on non-adiabatic electron dynamics in ITG-driven microturbulence

Continual Test-Time Domain Adaptation