Publications associées à Feature distribution learning by passive exposure

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Global eigenvalue distribution of matrices defined by the skew-shift

Marius Christopher Lemm

We consider large Hermitian matrices whose entries are defined by evaluating the exponential function along orbits of the skew-shift

\binom{j}{2} \omega+jy+x \mod 1

for irrational

\omega

. We prove that the eigenvalue distribution of these matrices conv ...

2019

Feature distribution learning by passive exposure

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Redundant features can hurt robustness to distributions shift

Redundant features can hurt robustness to distribution shift

Fat navigators and Moire phase tracking comparison for motion estimation and retrospective correction

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Change of beam distribution due to decoherence in the presence of transverse feedback

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Global eigenvalue distribution of matrices defined by the skew-shift

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Statistical Aspects of Wasserstein Distances

Redundant features can hurt robustness to distribution shift

Redundant features can hurt robustness to distributions shift

Fat navigators and Moire phase tracking comparison for motion estimation and retrospective correction

Change of beam distribution due to decoherence in the presence of transverse feedback

Influence of curved delamination front on R-curve of DCB specimen

Modeling Macroroughness Contribution to Fish Habitat Suitability Curves

Global eigenvalue distribution of matrices defined by the skew-shift

Does desorption affect the length distributions of nanowires?

Design Space of Modular Slab Systems with Discrete Stiffness Distribution and Irregular Column Layout