mathematics

Detection and Evaluation of Clusters within Sequential Data

Motivated by theoretical advancements in dimensionality reduction techniques we use a recent model, called Block Markov Chains, to conduct a practical study of clustering in real-world sequential data.

New publications

Singular value distribution of dense random matrices with block Markovian dependence

We have submitted Singular value distribution of dense random matrices with block Markovian dependence, and it is currently under review. This is joint work between Alexander Van Werde and myself. A preprint is available on arXiv.

Conference

XVII Brunel-Bielefeld Workshop

Today, Albert Senen-Cerda and Alexander Van Werde presented two posters at the XVII Brunel-Bielefeld Workshop on Random Matrix Theory and Applications.

New publications

Spectral norm bounds for block Markov chain random matrices

We have submitted Spectral norm bounds for block Markov chain random matrices, and it is currently under review. This is joint work between Albert Senen-Cerda and myself. A preprint is available on arXiv.

Review

Eigenvalue rigidity for truncations of random unitary matrices

Here is a public review of “Eigenvalue rigidity for truncations of random unitary matrices,” which I recently wrote for Mathematical Reviews.

New publications

Universal Approximation in Dropout Neural Networks

We have submitted Universal Approximation in Dropout Neural Networks, and it is currently under review. This is joint work between, Oxana Manita, Mark Peletier, Jacobus Portegies, Albert Senen-Cerda and myself. A preprint is available on arXiv.

Dropout and Dropconnect on a shallow neural network

New publications

Asymptotic convergence rate of Dropout on shallow linear neural networks

We have submitted Asymptotic convergence rate of Dropout on shallow linear neural networks, and it is currently under review. This is joint work between Albert Senen-Cerda and myself. A preprint is available on arXiv.

New publications

Modeling Rydberg Gases using Random Sequential Adsorption on Random Graphs

We have submitted “Modeling Rydberg Gases using Random Sequential Adsorption on Random Graphs.” This is joint work with Daan Rutten.

Tag: mathematics

Detection and Evaluation of Clusters within Sequential Data

Singular value distribution of dense random matrices with block Markovian dependence

XVII Brunel-Bielefeld Workshop

Spectral norm bounds for block Markov chain random matrices

Eigenvalue rigidity for truncations of random unitary matrices

Universal Approximation in Dropout Neural Networks

Asymptotic convergence rate of Dropout on shallow linear neural networks

Modeling Rydberg Gases using Random Sequential Adsorption on Random Graphs

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