CV (pdf)
Student Area

University of Innsbruck
Dep. of Mathematics
Technikerstraße 13
6020 Innsbruck

+43 512 507 53881
Karin Schnass
job offer

Hello creative brains, all planned positions of the START project are filled, but I still have some money socked away.
So if you are not only mega-super-motivated but also mega-super-qualified for attacking all sorts of problems in dictionary learning, apply for a postdoc.
If you are mega-motivated though not yet mega qualified but can dazzle me with your skills in linear algebra, probability theory and/or functional analysis, have an interest in dictionary learning, signal processing or machine learning, apply for a phd!
If have you most of the skills and all the interest but don't have a master's project yet, come for a chat (msc)!
Finally, if your head is still spinning from the introductory lectures but you think that messing around with images could be fun, check out the bachelor projects (bsc)!

PS: For postdoc/phd no better proof for motivation and qualification than the ability to read and comprehend a job announcement and the ability to send a complete application.

[Apr17] Michi hit the arXiv submit button! If you can't bear to leave my homepage to go to arXiv, the analysis operator learning nightmare paper is also available here and we even have a toolbox to play around with!
[Mar17] The WDI2 workshop took place on the 10th. Nobody complained so I'd say success! More good news, both submitted SPARS abstracts are accepted so I'm going to Lisbon to cheerlead Flavio and Michi with their posters. Eventful month because Marie finished her MSc thesis and so I now have a second PhD student. As happens in this case Michi the older kid got jealous and started to actually write the paper, let's see when we finish.
[Feb17] The nightmare lecture is over. In the end I learned a lot. Other than that - can't remember what I did in February. Well it is a short month, subtract school holidays and it gets even shorter. Probably I was tinkering around with theory for the nightmare paper to motivate my replacement strategy.
[Jan17] Things, I never expected to happen, happened.
1) I've almost survived the nightmare lecture - doing much better at the end talking about pca and clustering, ie. stuff I know something about.
2) The project proposal is finished.
3) After wading knee-deep in bugblood and submitting millions of jobs to the cluster, Valeriya and I finished the nightmare paper on dictionary learning from incomplete data, also featuring a toolbox.
To celebrate the START project page is going online!
[Dec16] To increase my stress level from unbearable to life-threatening, I wisely decided to contribute to writing another project proposal. Conclusion: I shall learn to say no, I shall learn to say no, I shall learn to say no.
[Nov16] Marie Pali joined the START project for a 3.5 month internship to have a look if she can bear to do a 3.5 year PhD with us. She is working on extending recovery results for dictionary learning to non-homogenous coefficient models and providing me with chocolate and cigarettes. And Michi and I are organising the next edition of the Donau-Isar-Inn Workshop (WDI2). Have look at the workshop page and register!!
[Oct16] Due to the nightmare lecture, research, paper writing and life in general have been suspended until further notice... well ok the first two have been reduced to brainless low level activities like feeding simulations to the cluster to make pretty pictures and the third to sleeping.
[Sep16] Postholiday disaster: Michi managed to convince me that our simple analysis operater learning algorithm can't be made to work on real data - too unstable. Glimpse of hope, he managed to do something smart but more complicated to make it work. I think he also just wants to avoid writing the paper, which is completely understandable. After going to the Dagstuhl Seminar: Foundations of Unsupervised Learning my remaining holiday relaxation was efficiently annihilated by the realisation that I have one week to prepare another lecture in the famous series "today I learn, tomorrow I teach".
[Aug16] The nightmare paper with the fastest (working) dictionary learning algorithm in the west has been accepted! The nightmare paper is dead! Long live the nightmare paper(s)! The only way progress could be slower would be if I started deleting lines - time for holidays. To ensure a smooth transition I first went to the iTWIST workshop where I was allowed to ramble on for 45 minutes.
[Jul16] Fascinating how time is flying when you are writing up results or rather not writing up results. I am behind all schedules, my excuse is that I was forced to also include a real data simulation in the nightmare paper. At this point thanks to Deanna Needell for sending me fantastic Fabio, to be found on page 17!
[Jun16] Praise the lord - Michi has finally acceded to writing up our stuff about analysis operator learning, so there's hope for a paper once I have done some translation from Shakespearean to modern English. Actually I'm now in triple paper hell because Valeriya and I solved our last algorithmic issues and have given each other deadlines for the various chapters.
[May16] I'm writing up the dictionary learning with replacement etc. stuff, I'm not enjoying myself, I'm grumpy, I won't make a longer entry.
[Apr16] Flavio Teixeira has joined the START-project! He will solve all my dictionary learning problems and remind me to water the plant. Also I have created a monster uaahahahaha dictionary learning algorithm that is fast and does not need to know the sparsity level or the number of atoms. Needless to say that we will never be able to prove anything. However the really bad part is that it also does sensible things with image patches, meaning real data, so there is no way to avoid writing a paper anymore.
[Mar16] I corrected and resubmitted the ITKrM (aka nightmare) paper, which now also features pretty pictures. According to plan all of my time goes into preparing the lecture - well ok secretly I'm comparing the ITKrM algorithm to its cheap version which means watching a lot of jumping points.
[Feb16] Went to the Mathematics of Signal Processing Workshop in Bonn, nice! Then I tried to decide which of my nicely working algorithms should be turned into a paper or rather which aspect should go to which paper to stay below 30 pages and how much math do I really need to add as opposed to how much math would I like to add. Luckily I then found a suitable excuse not to decide anything in the preparation of the time-frequency lecture :D.
[Jan16] Utter frustration, I have tons algorithms that work nicely but I can't prove it. Also I'm in panic because I have to get 6 papers accepted in 5 years to keep my job. At the current rate I'm not going to make it.
[Dec15] Habemus postdocem! If we manage to actually lift the administrational burden, Flavio Teixeira will join the START-project in spring. The advertising talk for masked dictionary learning in Berlin sold well - too bad the product is not finished yet. On hind-sight the trip counts as pretty disastrous, since I paid the hotel for a single but as it turned out a week later I was definitely not alone in the room when counting also the bed bugs.
[Nov15] I hate writing papers. It is so much easier to watch the points in my simulations jump around and improve the algorithms than to actually hammer out all the nasty little details why the masked dictionary learning stuff is locally converging. Obviously after the happy, enthusiastic phase, Michi and I are now experiencing some set-backs with our analysis operator learning - time to ask Andi to teach us how to use the supercomputer. Good news is we potentially bagged a researcher at the medical university, who will give us real world problems and free coffee! Finally anybody interested in our AOL or masked DL stuff has the chance to see it/us in Berlin!
[Oct15] Andi Kofler will join the dictionary learning crowd for 4 months with the goals of a) making dictionary learning faster and b) finding out whether he wants to get a real job or do a PhD with me. The codes seminar is organised, luckily teaching stuff I don't know much about is getting easier every time I do it. Soon I'll be ready for PDEs .... hahaha no way.
[Sep15] I set a new personal record in the category number of means of transport to arrive at a scientific event, that is, 9 to cover the distance Innsbruck - Dagstuhl, where again I was allowed to entertain people with a talk called 'dictionary learning - fast and dirty' (slides, etc) and on top of that lost my fear of the machine learning community, who successfully convinced me that I only need to be afraid of the computer vision community. Then I went on holidays and afterwards into panic about having to organise the seminar on codes.
[Aug15] I managed to write the final report of the Schroedinger project. Obviously this involved a lot of procrastination. To atone I thought I'll turn the latex file into a template. So here an absolutely not official latex template for the FWF final project report (Endbericht), I cannot disclaim enough, but hope someone will find it useful. Also I went to a workshop in Oberwolfach, where I was allowed to entertain people with a talk called 'dictionary learning - fast and dirty' (report).
[Jul15] If I were a rational person I would start to deal with the small problems of the project in order to get it prolonged and then go for the big ones. On the other hand if I were rational I would have gotten a real job 5 years ago, so I'm going straight for the big bastard problem, ie. the global minimum. All help welcome. As threatened I gave a talk about the ITKrM (aka nightmare) paper at SPARS in Cambridge and I think they plan to put the slides online.
[Jun15] Started with the Finnish flu and with the decision to stay in Innsbruck (sigh there goes TU Munich), meaning that this is the first but not the last month of the START-project, proper (longer) page later. It also means that I am again looking for a postdoc and 1-2 PhD students. In the mean-time Michi Sandbichler has agreed to temporarily act as my first minion and we will work on analysis operator learning. After running the simulations for the nightmare paper I decided that the corresponding figures would not be enlightening because you actually can't test the message of the theorems, so here the figure-free but didactically improved submitted version - code for itkrm and simulation results on request. Last thing, as part of our ongoing efforts to save the world Valeriya Naumova and I started to learn dictionaries from incomplete data and in synthetic experiments it even works :D.
[May15] Last month of the Schroedinger project. Since my brain is still blocked with the Innsbruck - Munich decision don't expect mega scientific progress but there is the chance to see a talk about the first part of the nightmare paper at the minisymposium 'Learning Subspaces' at AIP in Helsinki. If you can't make it to Helsinki, don't despair, you have the chance to see a similar talk at SPARS in Cambridge.
[Apr15] While Matlab is running simulations to make nice pictures, I made a more readable version of the nightmare paper, second try. For all those out there interested in dictionary learning the alternative introduction to dictionary learning, written for the bulletin of the Austrian Mathematical Society, is now available and gives an overview over theory until 2014.
And finally a note to all associate editors, I consider my review quota for this year filled and so until the end of 2015 will not feel guilty for rejecting uninteresting reviews. You might still get lucky with theory of sparse recovery (compressed sensingless) or theory of dictionary learning.
[Mar15] Ohoh, I've been lucky again, so now I have to decide between Innsbruck and TU Munich, that will be a hard one. In any case even thinking about the decision has to be postponed in order to finish the nightmare paper. Here is a first try, but I'm not 100% convinced by the structure. The inner mathematician and inner engineer are fighting, where to put the proofs and whether to do some work intense simulations to include enlightening figures.
[Feb15] I've been a good girl because I've reviewed 3 conference and 3 journal papers (don't tell Gitta or I'll immediately get a new one), because I've written an introduction to dictionary learning for the journal of the Austrian Mathematical Society and because I've augmented the web-page with a Student Area and prepared part of the seminar. But actually I've been a bad girl because I only did the good things in order to avoid finishing the nightmare paper.
[Jan15] Darkness, depression, makes you miss the cosy wet island. Luckily there is a light at the end of the constant tunnel, I decided them all! Finishing the paper will still be postponed indefinitely, since I have been spammed with reviews.
[Dec14] Hello world from Innsbruck! I have overcome huge obstacles, ie. the instructions of the ZID on how to access my webfolder, but finally there it is: a homepage at my institution.
I also decided that new institution, new country means new news section and that the old news will go into an old news section. Btw, I realise that this is a somewhat lengthy entry but that is to force the ugly warning flag of the university down.
Good news: the non-tight dl paper was accepted to JMLR, so soon you can get it for free from there, here, or arXiv. If you prefer a mathy style where proofs are not banished to the appendix go here, but beware the bugs.
Bad news: Still haven't decided all the constants.
old news  
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