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.
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Tag: Markov chain
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.
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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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Revision of and reading aids for Clustering in Block Markov Chains
We have revised
Reinforcement Learning in Block Markov Chains
On March 29th, 2019, Pascal Lagerweij defended his MSc thesis Reinforcement Learning in Block Markov Chains. His committee consisted of prof.dr.ir Piet Van Mieghem, dr. Matthijs Spaan, and myself (as daily supervisor). Pascal joined our research group Network Architectures and Services on May 22nd, 2018.
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ML Seminars: Clustering in Block Markov Chains
After presenting my poster at Stochastic Networks 2018 on our manuscript Optimal Clustering Algorithms in Block Markov Chains, I received invitations to present at the machine learning seminars of the Centrum Wiskunde & Informatica (CWI) in Amsterdam, as well as locally here at TU Delft. This post also provides you with our revised manuscript, which contains substantially extended results, as well asmy presentation.
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