I recently had the
pleasure to give a talk about the information dimension of stochastic
processes at the Workshop on Causality and Dynamics in Brain Networks which was held in conjunction with the
Int. Joint Conf. On Neural Networks in Budapest. Our paper on this
work is published in the IEEE Transactions on Information Theory and
available on arXiv. The slides of my talk can (as always) be accessed
by clicking on the image below.
This work on
information dimension means a lot to me, and I’d like to let you
know how it all started. I had come into contact with Renyi’s
information dimension in 2012, when I worked on the information lossin principal components analysis. Back then I was considering only
random variables, but in the summer of 2013, when I was investigating
the information loss in anti-aliasing filters, I had the feeling that
there should be a similar definition also for stochastic processes. I
somehow managed to get the results published at the Int. Zurich
Seminar in 2014, even though I have to admit that some of the more
interesting results were obtained only with the help of two
Assumptions, which would have been theorems had the results on
information dimension already existed. I was certain at this point
that a proper definition of the information dimension of a stochastic
process must be connected with the bandwidth of the process.
After my PhD, I
spent some time at TU Munich as a postdoc. My Schroedinger grant from
the Austria Science Fund allowed me to work on information-theoretic
reduction of Markov models. The first year though, which was funded
directly by my boss Prof. Gerhard Kramer, I set out to work on “Two
Little (?) Problems” - at least that was the title under which I
presented these two problems to my colleagues during our winter
retreat in the beautiful village of Stilfs in early 2015. The two
problems were the fractal properties of polar codes (which are an
entirely different story) and the information dimension of stochastic
processes. While my work on polar codes progressed quickly, I was
stuck on the other problem. In the meantime I have found out that researchers published a possible definition of information dimension for stochastic processes. But I was not able to pursue this further until I met Stefan Moser and Tobi Koch
at the Int. Zurich Seminar in 2016 (where I presented my work on
polar codes). I’ve met both of them before and I read some of their
works – I just knew that they were able to help me.
Long story short,
Tobi was strongly interested and invited me to stay with him at
Universidad Carlos III de Madrid later this year. The stay was
amazing: Late breakfasts, dinners at 9 pm, a dry 40 degress weather,
and ice cold beer at night to cool down. Most importantly, we got a
good way towards proving the connection between information dimension
– defined differently than previously suggested –
and bandwidth, at least for Gaussian processes.
Over the coming
months our results were refined and extended, and now it feels as if
there is not much important left to do. It seems as if both of my “Two Little (?) Problems” are solved now.