I got mildly involved in a cool project with the ETHZ group, lead by Vincent Fortuin and Matthias Hüser, along with Francesco Locatello, myself, and Gunnar Rätsch. The work is about building a variational autoencoder with a discrete (and thus interpretable) latent space that admits topological neighbourhood structure through using a self organising map. To represent latent dynamics (the lab is interested in time series modelling), there also is a built-in Markov transition model. We just put a version on arXiv.
Here it is. Just found it accidentally via Google Scholar. Help me increase the download counter 🙂
This year’s AISTATS was such a nice meeting, far less noisy and company dominated than NIPS.
We presented our paper “Efficient and principled score estimation with Nyström kernel exponential families”.
Dougal gave a nice talk (slides).
Finally, I hiked up a big volcano, Caldera Blanca
We are happy to announce that Shogun’s umbrella organisation, NumFOCUS, has been accepted for GSoC 2018 — and we will be mentoring through them!
If you are a talented student who wants to spend a summer hacking open-source, make sure to apply! Check out the NumFOCUS GSoC ideas page (contains Shogun’s and other projects’ ideas). Our very own ideas page can also be found in our wiki.
GSoC is a global program focused on bringing more student developers into open source software development. Students work with an open source organization on a 3 month programming project during their break from school.
Shogun provides efficient implementations of standard and state-of-the-art machine learning algorithms in an accessible, open-source environment. Shogun has been involved in GSoC since 2011, check out our blog posts about past years.
NumFOCUS is a nonprofit that is dedicated to support and promote world-class, innovative, open source scientific computing.