Publications associées à Loadable Kernel Module

Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models

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Rare events include many of the most interesting transformation processes in condensed matter, from phase transitions to biomolecular conformational changes to chemical reactions. Access to the corresponding mechanisms, free-energy landscapes and kinetic r ...

Melville2023

End-to-end kernel learning via generative random Fourier features

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Random Fourier features (RFFs) provide a promising way for kernel learning in a spectral case. Current RFFs-based kernel learning methods usually work in a two-stage way. In the first-stage process, learn-ing an optimal feature map is often formulated as a ...

ELSEVIER SCI LTD2023

Midas: Systematic Kernel TOCTTOU Protection

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Double-fetch bugs are a plague across all major operating system kernels. They occur when data is fetched twice across the user/kernel trust boundary while allowing concurrent modification. Such bugs enable an attacker to illegally access memory, cause den ...

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Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

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Recently, several theories including the replica method made predictions for the generalization error of Kernel Ridge Regression. In some regimes, they predict that the method has a 'spectral bias': decomposing the true function f* on the eigenbasis of the ...

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NrOS: Effective Replication and Sharing in an Operating System

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USBFuzz: A Framework for Fuzzing USB Drivers by Device Emulation

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Loadable Kernel Module

ACTOR: Action-Guided Kernel Fuzzing

Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models

End-to-end kernel learning via generative random Fourier features

Midas: Systematic Kernel TOCTTOU Protection

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

NrOS: Effective Replication and Sharing in an Operating System

Multikernel Regression with Sparsity Constraint

What can linearized neural networks actually say about generalization?

USBFuzz: A Framework for Fuzzing USB Drivers by Device Emulation

Snap-On User-Space Manager for Dynamically Reconfigurable System-on-Chips

Graph Chatbot

Chattez avec Graph Search

Snap-On User-Space Manager for Dynamically Reconfigurable System-on-Chips

Multikernel Regression with Sparsity Constraint

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

End-to-end kernel learning via generative random Fourier features

ACTOR: Action-Guided Kernel Fuzzing

Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models

NrOS: Effective Replication and Sharing in an Operating System

Midas: Systematic Kernel TOCTTOU Protection

What can linearized neural networks actually say about generalization?

USBFuzz: A Framework for Fuzzing USB Drivers by Device Emulation