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Analysing Neuronal Network Architectures

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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

Analysing Neuronal Network Architectures

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Chat with 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

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Learning Robust and Adaptive Representations: from Interactions, for Interactions

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

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

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

Multiple testing with test statistics following heavy-tailed distributions

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Comparing Annual Glare Simulation Methods

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