Concept

Noise (electronics)

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Localization errors of the stochastic heat equation

David Jean-Michel Candil

In this thesis, we study the stochastic heat equation (SHE) on bounded domains and on the whole Euclidean space

\R^d.

We confirm the intuition that as the bounded domain increases to the whole space, both solutions become arbitrarily close to one another ...

EPFL2022

Noise (electronics)

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Gyrokinetic simulations of turbulence and zonal flows driven by steep profile gradients using a delta-f approach with an evolving background Maxwellian

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models

Finite Bit Quantization For Decentralized Learning Under Subspace Constraints

A Noise-Resistant Mixed-Discrete Particle Swarm Optimization Algorithm for the Automatic Design of Robotic Controllers

Localization errors of the stochastic heat equation

Spike-Based Sensing and Communication for Highly Energy-Efficient Sensor Edge Nodes

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On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations

Quantification of successful encapsulation into microfluidic compartments

Propagation of singularities for the stochastic wave equation

Gyrokinetic simulations of turbulence and zonal flows driven by steep profile gradients using a delta-f approach with an evolving background Maxwellian

On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations

Propagation of singularities for the stochastic wave equation

How Does Pre-Trained Wav2Vec 2.0 Perform On Domain-Shifted Asr? An Extensive Benchmark On Air Traffic Control Communications

Localization errors of the stochastic heat equation

Quantification of successful encapsulation into microfluidic compartments

Spike-Based Sensing and Communication for Highly Energy-Efficient Sensor Edge Nodes

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models

A Noise-Resistant Mixed-Discrete Particle Swarm Optimization Algorithm for the Automatic Design of Robotic Controllers

Finite Bit Quantization For Decentralized Learning Under Subspace Constraints