Today, Albert Senen-Cerda and Alexander Van Werde presented two posters at the XVII Brunel-Bielefeld Workshop on Random Matrix Theory and Applications. Albert presented work on his preprint, Spectral norm bounds for Block Markov Chain random matrices, and Alexander presented preliminary work on the Singular value distribution of random matrices with block Markovian dependence.
XVII Brunel-Bielefeld Workshop
Here is a description of the workshop:
The aim of this workshop is to bring together physicists and mathematicians working in the area of Random Matrix Theory in a broad sense. The programme will consist of talks by invited speakers on Friday and Saturday, and poster sessions starting Thursday afternoon. Requests to participate, especially from junior researchers, are welcome and should be directed to the conference office. For informal enquiries please contact any of the organisers. Support is available to a limited number of participants presenting a poster. The programme of the workshop will include the following themes:
- Beta-ensembles, Heavy Tails and Large Deviations
- Integrable Systems and Random Matrices
- Non-Hermitian Random Matrices and Their Applications
- Applications to Networks and Deep Learning
Posters
Here are their posters: