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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

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

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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

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

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

Learning Robust and Adaptive Representations: from Interactions, for Interactions

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

Comparing Annual Glare Simulation Methods

Multiple testing with test statistics following heavy-tailed distributions