Karen Ullrich.

I am a Ph.D. student at Uo Amsterdam, supervised by Prof. Max Welling and alumni of the Austrian Research Institute for AI, Intelligent Music Processing and Machine Learning Group lead by Prof. Gerhard Widmer. I studied Physics and Numerical Simulations in Leipzig and Amsterdam. [CV]

My research focus lies in machine learning. In particular, I am interested in statistical inference, information theory, deep learning, Bayesian methods, graph theory and finally applications in sequential data (e.g. music, environmental data) and real-time sensoring.


PUBLICATIONS.

LATEST:

Bayesian Compression for Deep Learning (2017)

Christos Louizos, Karen Ullrich, Max Welling [PDF] [BIBTEX]
Accepted paper for the Conference on Neural Information Processing Systems (NIPS) 2017, Long Beach, USA.


EVENTS.

2017/07 What Would Shannon Do? Bayesian Compression for DL

Contributed talk at the MILA/CIFAR Deep Learning and Reinforcement Learning Summer School
Montreal, Canada.
[SLIDES] [VIDEO]


2016/08 Tutorial on Deep Learning for the Arts

Workshop at Electromagnetic Field Festival
Guildford, UK.
[SLIDES]


2016/06 Neural Style Transfer for Music

4 Weeks project with 10 students, in collaboration Jörn-Henrik Jacobsen and Thomas Kipf
Uo Amsterdam, The Netherlands.
[RESULTS BY BARIS DEMIRDELEN]


2015/08 Goethe on my Mind

Talk at Chaos Communication Camp
Mildenberg, Germany.
[VIDEO] [DEMO]