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Personal Webpage of Max Horn

I work as a Applied Scientist for AWS AI where I explore the intersection of Machine Learning, Deep Learning and Causality. In particular, I am interested building models that understand notions of objects present in the real world.
Prior to my position at AWS I was a PhD Student in Machine Learning and Computational Biology at ETH Zürich and worked on the development of deep learning methods for real world medical time series, Dimensionality Reduction and Topological Machine Learning.
My interests include but are not limited to: Machine Learning for Healthcare, Probabilistic Modelling, Time Series Modelling and Interpretable Machine Learning.
Here I write about stuff I care about in the realm of science, programming, technology and crypto. All opinions expressed are solely my own and do not express the views or opinions of my employer.

Blog

  1. NeoVims built-in Language Server Client and why you should use it

    As a fan of the Language Server Protocol introduced by Microsoft, I was very excited to hear, that NeoVim (an aggressive refactor of the Vim) will soon be shipping it’s own language server client. …

    • on development

  2. Two of our papers were accepted at ICML 2020

    This week we presented two of our papers at ICML 2020, it was a great experience to talk with others about our research and to think of future directions and applications of our methods. I want to use this page to point out reference materials for these publications. …

    • on conferences publications

  3. MLSS2020 Causality Lectures - a brief summary

    The first week of the virtual Machine Learning Summer School in Tübingen is over and it is time to take a brief look back at the lessons learned and the experience made during this time. In the following I will briefly some of the insights I made during the first week. …

    • on conferences

  4. Summary of Talks and Posters from ICLR 2020

    This years ICLR was was special for me (and for many others as well) as it was the first virtual conference I have ever attended to (and will given the current situation with COVID-19 surely not be the last). At the virtual ICLR, posters were replaced with short prerecorded videos of 5 minutes where the authors briefly present their work. These videos can be accessed at any time independent of the “poster session” in which was possible to talk to one or more authors of the paper. One benefit of the conference being completely virtual is definitely that it allows to spread out looking at the “posters” over a longer time (if willing to sacrifice the possibility to talk with the author in a virtual poster session). …

    • on conferences papers

  5. Project: simple-gpu-scheduler - easy scheduling of jobs on multiple GPUs

    Our research group has multiple servers each equipped with multiple GPUs. Unfortunately, these are not connected together in a cluster infrastructure, but instead, GPUs are assigned to individuals or on a per-project basis. This makes the execution of many jobs using multiple GPUs difficult. …

    • on development

  6. Organizing projects and notes with vimwiki and VimR

    After a long time of absence I decided to reactivate my blog! So here comes another post related to optimizing the workflow of a PhD student in Computer Science. …

    • on development

  7. Setting up a Neovim and pipenv based Python development environment

    I think everybody has been there after some time: …

    • on development