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Liouville Measure As A Multiplicative Cascade Via Level Sets Of The Gaussian Free Field

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Publications associées à Liouville Measure As A Multiplicative Cascade Via Level Sets Of The Gaussian Free Field | EPFL Graph Search

A Local Law for Singular Values from Diophantine Equations

Marius Christopher Lemm

We introduce the

N\times N

random matrices

X_{j,k}=\exp\left(2\pi i \sum_{q=1}^d\ \omega_{j,q} k^q\right) \quad \text{with } \{\omega_{j,q}\}_{\substack{1\leq j\leq N\\ 1\leq q\leq d}} \text{ i.i.d. random variables},

and

d

a fixed integer. We pr ...

2020

Liouville Measure As A Multiplicative Cascade Via Level Sets Of The Gaussian Free Field

Graph Chatbot

Chattez avec Graph Search

Gaussian Multiplicative Chaos Through the Lens of the 2D Gaussian Free Field

Normal approximation of the solution to the stochastic heat equation with Levy noise

A Local Law for Singular Values from Diophantine Equations

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

The n-term Approximation of Periodic Generalized Levy Processes

Gaussian and sparse processes are limits of generalized Poisson processes

Certified And Fast Computations With Shallow Covariance Kernels

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Normal approximation of the solution to the stochastic heat equation with Levy noise

Gaussian and sparse processes are limits of generalized Poisson processes

Gaussian Multiplicative Chaos Through the Lens of the 2D Gaussian Free Field

A Local Law for Singular Values from Diophantine Equations

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

The n-term Approximation of Periodic Generalized Levy Processes

The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices

Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Levy White Noises

Detection of movement onset using EMG signals for upper-limb exoskeletons in reaching tasks

Certified And Fast Computations With Shallow Covariance Kernels