Publications related to Interfaces of the one-dimensional voter models

USBFuzz: A Framework for Fuzzing USB Drivers by Device Emulation

The Universal Serial Bus (USB) connects external devices to a host. This interface exposes the OS kernels and device drivers to attacks by malicious devices. Unfortunately, kernels and drivers were developed under a security model that implicitly trusts co ...

USENIX ASSOC2020

Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

Andy Roulin

Modern data-center network operating systems rely on proprietary user-space daemons wrapping SDKs from switch vendors. Linux-based variants of these operating systems have benefited from increasing and simplified dataplane offloading support in recent year ...

2018

Neural Tanget Kernel: Convergence and Generalization in Neural Networks

At initialization, artificial neural networks (ANNs) are equivalent to Gaussian processes in the infinite-width limit [12, 9], thus connecting them to kernel methods. We prove that the evolution of an ANN during training can also be described by a kernel: ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

A kernel compression scheme for fractional differential equations

Jan Sickmann Hesthaven, Daniel Henri Baffet

The nonlocal nature of the fractional integral makes the numerical treatment of fractional dierential equations expensive in terms of computational eort and memory requirements. In this paper we propose a method to reduce these costs while controlling the ...

Society for Industrial and Applied Mathematics2017

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

In this paper, we consider the problem of sequentially optimizing a black-box function

f

based on noisy samples and bandit feedback. We assume that

f

is smooth in the sense of having a bounded norm in some reproducing kernel Hilbert space (RKHS), yield ...

2017

Deconvolution of Gaussian Random Fields using the Graph Fourier Transform

Matthieu Martin Jean-André Simeoni

Real-life acquisition systems are fundamentally limited in their ability to reproduce point sources. For example, a point source object, a star say, observed with an optical telescope is blurred by the imperfect lenses composing the system. Mathematically, ...

2016

The Linux Scheduler: A Decade of Wasted Cores

Baptiste Joseph Eustache Lepers

As a central part of resource management, the OS thread scheduler must maintain the following, simple, invariant: make sure that ready threads are scheduled on available cores. As simple as it may seem, we found that this invari- ant is often broken in Lin ...

Assoc Computing Machinery2016

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications

Michaël Unser, Daniel Andreas Schmitter, Ricard Delgado Gonzalo

We present a new trigonometric basis function that is capable of perfectly reproducing circles, spheres and ellipsoids while at the same time being interpolatory. Such basis functions have the advantage that they allow to construct shapes through a sequenc ...

IEEE2015

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

In this paper, a new formulation in the time domain of the Cooray-Rubinstein expression is presented. This new formulation overcomes the problems related to the previous formulation: The Dirac pulse contained in the kernel of the previous formulation is ex ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Interactive Design of Probability Density Functions for Shape Grammars

Mark Pauly, Duygu Ceylan, Boris Neubert, Stefan Lienhard

A shape grammar defines a procedural shape space containing a variety of models of the same class, e.g. buildings, trees, furniture, airplanes, bikes, etc. We present a framework that enables a user to interactively design a probability density function (p ...

Assoc Computing Machinery2015

Interfaces of the one-dimensional voter models

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USBFuzz: A Framework for Fuzzing USB Drivers by Device Emulation

Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

Neural Tanget Kernel: Convergence and Generalization in Neural Networks

A kernel compression scheme for fractional differential equations

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Deconvolution of Gaussian Random Fields using the Graph Fourier Transform

The Linux Scheduler: A Decade of Wasted Cores

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

Interactive Design of Probability Density Functions for Shape Grammars

Deconvolution of Gaussian Random Fields using the Graph Fourier Transform

Interactive Design of Probability Density Functions for Shape Grammars

USBFuzz: A Framework for Fuzzing USB Drivers by Device Emulation

Neural Tanget Kernel: Convergence and Generalization in Neural Networks

Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

The Linux Scheduler: A Decade of Wasted Cores

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

A kernel compression scheme for fractional differential equations