Excited to announce the 20th Mining and Learning with Graphs (MLG) workshop ECML PKDD in Turin, Italy! With a tutorial by Davide Bacciu and keynotes by Giannis Nikolentzos and Bastian Grossenbacher-Rieck Submit your work by June 12th at mlg-europe.github.io

Come work with world-class advisors (and me) on the foundations and applications of neuro-explicit models!

❓Causality Related-Work question❓ Are any of the colleagues working with Causality aware of works that tackle online/continual/episodal learning of causal networks from either observational or interventional (or both) data? Any kind of pointers are appreciated! #CausalTwitter

Join us! PhD and Postdoc positions available at the intersection of machine learning and statistical physics / multiscale molecular simulations 🖥️🧪 Also, we're located in beautiful Heidelberg 🏰 Uni Heidelberg Dept. of Physics and Astronomy, Heidelberg Univ. tristanbereau.com/positions.html

1/ We talk much about #causalinference, but #description is the foundation of everything. Descriptive methods aren't as glamorous as causal inference methods but, without good description, causal inference is toast. (Remember we do 3 things with data: x.com/_MiguelHernan/…)

Everyone is so concerned with the inclusiveness of the ML conferences, but a simple fact that without a lucky passport you simply cannot get visa in time is always not interesting for organizers

Hi! I am happy to announce our latest work (with Pablo Sánchez and Isabel Valera) ... 🥁 🚨 Causal normalizing flows: from theory to practice 🚨 I am really excited about this work! Check this image, and scroll down if you want to know more 👀 1/10

Curious about #CausalDiscovery when the additive noise assumption is violated? In our #ICML2023 paper, we study the identifiability and estimation of causal location-scale noise models (LSNMs) described by an SCM of the form y = f(x) + g(x)N. 📄arxiv.org/abs/2210.09054 🧵1/3

A PhD position in my group, apply by July 4 jobs.helsinki.fi/job/Doctoral-r…

Now hiring: Three more PhD students and one postdoc for research on combining neural and symbolic/interpretable models of language, vision, and action. Work with world-class advisors at Universität Saarland, MPI Informatics, MPI-SWS, @CISPA, DFKI. Details: neuroexplicit.org/jobs

We're looking for three excellent PhD candidates and one postdoc interested in the foundations and applications of neuro-explicit machine learning. Join us!

If you were the type of kid that got excited to buy school supplies at the end of each summer I regret to inform you that you have a PhD now.

Interested in visiting the Rational Intelligence (RI) Lab at @CISPA for up to three months? HIDA Visiting Research Grant helmholtz-hida.de/en/new-horizon… Deadline: 15 October 2023 This year, we host 6 HIDA Visiting Scholars from the UK, Switzerland, Japan, and Canada. RT 🙏

New blog post: Yet Another ICML Award Fiasco The story of the ICML Conference 2023 Outstanding Paper Award to the D-Adaptation paper with worse results that the ones from 9 years ago Please share it to start a needed conversation on mistakenly granted awards parameterfree.com/2023/08/30/yet…

Now hiring: Three PhD students and one postdoc, as part of a research team of ~30, combining neural and symbolic/interpretable models of language, vision, action, and ML. Work with advisors at Universität Saarland, MPI Informatics, Max Planck Institute for Software Systems, @CISPA, DFKI. Details: neuroexplicit.org/jobs/

Uncanny Sharpness-vs-Adversarial-Robustness Valley Discovered! Read all about it!

Great work by the super-talented Sascha, Nils, and Janis!

Want to find the causal network, but your data arrives in (possibly biased) batches over time? Fret no more, Osman and Sarah have the solution!

Even when going skiing, Joscha and Sascha simply can't stop scienceing. Come check their results on Wednesday!

Coming soon - Episode 9 of Material Minds, a funny and fascinating conversation with Prof. Jilles Vreeken on how to get AI to propel scientific discoveries! 😃 Jilles Vreeken Leibniz_INM #artificialntelligence #Podcast