Maren Mahsereci
I am a postdoctoral researcher at the University of Tübingen. Previously I have been at Amazon Web Services (AWS) Berlin and Amazon Retail (AMZN) Cambridge as Machine Learning Scientist. I graduated from the Max-Planck Institute for Intelligent Systems (MPI) Tübingen.
My research interests are stochastic optimization methods for deep learning, probabilistic numerics, and statistical emulation. I am also an active contributor and maintainer of open source software projects on GitHub.
news
| Mar 28, 2022 | I gave a talk about the open source library ProbNum at the Workshop on Probabilistic Approaches to Numerical Computation in London, UK. |
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| Dec 3, 2021 | The paper on our open source project ProbNum: Probabilistic Numerics in Python is now on arXiv. Please cite if you use ProbNum in your scientific work (ProbNum webpage). |
| Oct 23, 2021 | Our paper Invariant Priors for Bayesian Quadrature has been accepted as a contributed talk at the NeurIPS 2021 workshop Your Model is Wrong: Robustness and misspecification in probabilistic modeling. |
| Oct 1, 2021 | I am co-organizing the Dagstuhl Seminar on Probabilistic Numerical Methods - From Theory to Implementation Wadern, Germany. |
| Jul 31, 2021 | Our paper Dynamic Pruning of a Neural Network via Gradient Signal-to-Noise Ratio of my intern Julien Siems at Amazon Web Services has been accepted at the 8th ICML Workshop on Automated Machine Learning (AutoML) 2021. |