Today, Albert Senen-Cerda and Alexander Van Werde presented two posters at the XVII Brunel-Bielefeld Workshop on Random Matrix Theory and Applications.
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Tag: mathematics
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.
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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.
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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.
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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.
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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.
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Open Competition ENW-KLEIN-1 grant
I have recently been awarded an NWO Open Competition ENW-Klein-1 grant. The topic is Clustering and Spectral Concentration in Markov Chains.
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Book review: Waarschijnlijkheidsrekening
I wrote the following book review around December 2019, and it has now appeared in the June 2020 issue of the Nieuw Archief voor Wiskunde. The review discusses the Dutch mathematics book Waarschijnlijkheidsrekening – Maattheoretische uitgangspunten en fundamentele eigenschappen, by K. van Harn and P.J. Holewijn, which was published last year by the VU University
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