Prof. Dr. Asja Fischer
Ruhr-Universität Bochum
Faculty of Mathematics
Universitätsstraße 150
44801 Bochum, Germany
Office: IB 3/153
Phone: +49(0)234/32-23207
Email: asja.fischer(at)rub.de
Consultation Hour: by appointment
In a broad perspective, my main research ambition is to understand the fundamental computational principles of learning that characterize intelligence. More specifically, my research interests are focussed on the development, analysis, and application of deep learning models and methods. I am particularly interested in analysing and developing probabilistic models and inference methods, investigating biologically plausible deep learning, and understanding the stochastic processes involved in the training and optimisation of neural networks and probabilistic models.
Before becoming a professor in Bochum I was an assistant professor at RUB, akademische Rätin (assistant professor) at Bonn university, and a post-doctoral researcher at the Montreal Institute for Learning Algorithms (MILA). Between 2010 and 2015, I was employed both at the Institute for Neural Computation at the Ruhr-University Bochum and the Department of Computer Science at the University of Copenhagen working on my PhD, which I defended in Copenhagen in 2014. Before, I studied Biology. Bioinformatics, Mathematics, and Cognitive Science at the Ruhr-University Bochum, the Universidade de Lisboa, and the University of Osnabrück.
NEWs:
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I am thrilled to be a fellow of the Ellis program "Theory, Algorithms and Computations of Modern Learning Systems".
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I am excited to serve as one of the two workshop chairs of ICLR 2020.
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In February 2019, I will give a talk as keynote speaker at TFML.
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Our paper "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length" got accepted for publication at ICLR 2019!
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I served as area chair for ICLR 2019.
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In September 2018, I organized the AIM workshop on Boltzmann machines.
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In April 2018, I organized the DALI 2018 Theory in Deep Learning workshop.