Publication

Analysing Neuronal Network Architectures

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

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

Analysing Neuronal Network Architectures

Graph Chatbot

Chattez avec Graph Search

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Ride-hail vehicle routing (RIVER) as a congestion game

Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

Comparing Annual Glare Simulation Methods

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Multiple testing with test statistics following heavy-tailed distributions

Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Comparing Annual Glare Simulation Methods

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Multiple testing with test statistics following heavy-tailed distributions

Ride-hail vehicle routing (RIVER) as a congestion game

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security