I am a PhD student at Inria Grenoble Rhone-Alpes in Mistis and Thoth teams (Grenoble, France).

I was born in Penza, a city that is not far from Moscow (650 km). In 2013 I moved to Moscow for my undergraduated studies. In 2017 I obtained my Bachelor degree at Moscow Institute of Physics and Technology (MIPT) and started the second year of Master program at Grenoble Institute of Technology (Grenoble - INP, Ensimag). During the second semester I had an internship at Inria Grenoble Rhone-Alpes under the guidance of Julyan Arbel and Pablo Mesejo. We investigated distributional properties of Bayesian neural networks, see arXiv. Now I continue this research during my graduate studies under supervision of Jakob Verbeek and Julyan Arbel. My CV is here.

Hobbies: travelling, hiking and playing the ukulele.

Latest news

  • My last talk for ISBA'21 about Bayesian neural network priors on hidden units was recorded and can be found here.

  • I was visiting Duke University and work under supervision of David Dunson during November 2019-January 2020. We were working on prior predictive distributions in BNNs.

  • I have a best poster award at the BNP'12 conference, 24-28 June 2019 in Oxford, the UK.

  • My paper 'Understanding Priors in Bayesian Neural Networks at the Unit Level' has been accepted for publication at the ICML'19 conference.

  • I gave a contributed talk at the CASI'19 conference, 15-17 May 2019 in Dublin, Ireland.

  • I gave a contributed talk at the YES X: Understanding Deep Learning workshop, 21 March 2019 in Eindhoven, the Netherlands. I would like to thank the organizers for the financial support. [slides]


E-mail: mariia.vladimirova@inria.fr.
Address: 655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin.