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Max Thiessen

@maxthiessen.bsky.social
551 followers 494 following 14 posts

Postdoc in theory of machine learning at Uni Tübingen. maxthiessen.github.io

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Tim van Erven @timvanerven.nl · 21/04/2026
Summer school on Decisions and Theory for AI! July 13-17 Leiden University Lecturers: Gergely Neu @neu-rips.bsky.social Claire Vernade @claireve.bsky.social Marco Avella Medina Peter Grünwald @petergrunwald.bsky.social Myself Application deadline: April 30 sites.google.com/view/dtailsu...
sites.google.com
DTAIL
Modern AI systems are no longer just engineering artefacts: they are decision-makers operating under uncertainty, constraints, and societal needs. This summer school concerns the intersection of decis...
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Tim van Erven @timvanerven.nl · 21/11/2025
When reading a large literature, it is really helpful to have opinionated opinions that help to categorize papers. One of mine for explainable AI is that methods need to address a fundamental limit in how much information can be communicated. Blog post: www.timvanerven.nl/blog/xai-com... (no math)
timvanerven.nl
The Central Challenge in Explainable AI: Channel Capacity
Explainable AI is about communication: we want to tell people how or whya machine learning model is making certain decisions. Why is this sodifficult? In this post I take an information-theoretic pers...
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Simons Institute for the Theory of Computing @simonsinstitute.bsky.social · 31/10/2025
Ever wondered about graph learning? Watch Ameya Velingker and Haggai Maron give a masterful introduction at the Simons Institute's workshop on Graph Learning Meets Theoretical Computer Science. Video: simons.berkeley.edu/talks/ameya-...
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Gergely Neu @neu-rips.bsky.social · 29/10/2025
i'm looking forward to attending & contributing to the first ever EurIPS meeting (@euripsconf.bsky.social #EurIPS)! glad that i can learn about the most exciting ML research without having to travel to the US to attend a 15k+ person conference. some personal highlights of the program below. 1/n
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Siby Hess @ilsebyl.bsky.social · 25/07/2025
My maternity leave project is now somewhat out: I made a jupyterbook about the basics of ML, that I teach at TUE. You can check it out here: sibylse.github.io/TUEML/intro.... The linA part is not yet formulated out and there are other todos, but maybe it helps someone with their own course design 😅
sibylse.github.io
Welcome to the Data Mining and Machine Learning Book — Data Mining and Machine Learning Jupyter Book
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NeurIPS Europe @neuripseurope.bsky.social · 16/07/2025
EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅 EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu eurips.cc
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Max Thiessen @maxthiessen.bsky.social · 25/05/2025
After a break in April we welcome all of you to the next session of GLOW🌟 next week! Join and interact with our speakers Christian Koke (scale in GNNs) and Yonatan Sverdlov (sparse geometric MPNNs). 🗓️ May 28th, 5pm CEST on Zoom. 🌐 Details & sign-up: sites.google.com/view/graph-learning-on-weds.
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Max Thiessen @maxthiessen.bsky.social · 25/05/2025
After a break in April we welcome all of you to the next session of GLOW🌟 next week! Join and interact with our speakers Christian Koke (scale in GNNs) and Yonatan Sverdlov (sparse geometric MPNNs). 🗓️ May 28th, 5pm CEST on Zoom. 🌐 Details & sign-up: sites.google.com/view/graph-learning-on-weds.
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Kasper Green Larsen @kasperglarsen.bsky.social · 05/05/2025
Almost tight generalisation bounds for large margin voting classifiers and an optimal Majority-of-3-AdaBoosts weak-to-strong learner. Accepted at COLT'25 🥳 arXiv: arxiv.org/pdf/2502.16462
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Kasper Green Larsen @kasperglarsen.bsky.social · 30/04/2025
I have an opening for a post doc position in machine learning theory, with a deadline of June 1st. Please share and apply: international.au.dk/about/profil...
international.au.dk
Post doc position in theory of machine learning at Department of Computer Science, Aarhus University - Vacancy at Aarhus University
Vacancy at Computer Science, Dept. of, Aarhus University
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Stefan Neumann @neumannstefan.com · 29/04/2025
Come to Vienna to work at the intersection of AI and biological and medical research. These are fantastic opportunities!
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Petar Veličković @petar-v.bsky.social · 26/03/2025
This is happening today! 🌟 Join me at the virtual GLOW seminar (5pm CET) for the first public showing of my 'LLMs as GNNs' talk. 💬🕸️
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Max Thiessen @maxthiessen.bsky.social · 20/03/2025
GLOW is returning on 𝗠𝗮𝗿𝗰𝗵 𝟮𝟲𝘁𝗵, 𝟱𝗽𝗺 𝗖𝗘𝗧 with a special guest: @petar-v.bsky.social 🌟 He will lecture on LLMs as GNNs – a topic which received quite some attention at our last session. Specifically, we will learn how Graph ML tools can help understand LLM generalisation
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Fabrizio Frasca @ffabffrasca.bsky.social · 12/03/2025
Apply if you are working on Geometric Deep Learning! Had such a great experience as a student in the past year. This year I will be joining as a mentor along with so many other great researchers! Hope to see you in London ☺️
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LOGML Summer School @logml.bsky.social · 11/03/2025
🌟Applications open- LOGML 2025🌟 👥Mentor-led projects, expert talks, tutorials, socials, and a networking night ✍️Application form: logml.ai 🔬Projects: www.logml.ai/projects.html 📅Apply by 6th April 2025 ✉️Questions? logml.committee@gmail.com #MachineLearning #SummerSchool #LOGML #Geometry
logml.ai
LOGML 2025
London Geometry and Machine Learning Summer School, July 7-11 2025
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Fabrizio Frasca @ffabffrasca.bsky.social · 19/02/2025
Don’t miss out on this one :) Make sure to tune in today at 17 CET 🌟
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Max Thiessen @maxthiessen.bsky.social · 17/02/2025
GLOW is back this Wednesday, Feb 19th, 5pm CET 🌟 Instead of talks, we’re hosting a casual discussion on where graph learning is headed and where early-career researchers can make the most impact. Join our open conversation with junior and senior graph researchers! sites.google.com/view/graph-l...
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Stefan Neumann @neumannstefan.com · 29/01/2025
I am hiring for a Ph.D. student to work in the areas of social network analysis, algorithms and fair machine learning. Please apply and join our highly motivated team. For more information please see the call: neumannstefan.com/hiring/
neumannstefan.com
Call for Doctoral Students in Social Network Analysis, Algorithms and Fair Machine Learning
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TMLR Published Papers @tmlr-pub.bsky.social · 16/01/2025
Maximally Expressive GNNs for Outerplanar Graphs Franka Bause, Fabian Jogl, Patrick Indri et al. Action editor: Ellen Vitercik openreview.net/forum?id=XxbQAsxrRC #graphs #graph #mpnns
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Fabrizio Frasca @ffabffrasca.bsky.social · 15/01/2025
Join us in 30 mins! 🌟
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Pascal Welke @pascalwelke.bsky.social · 15/01/2025
In two hours (i.e., 5pm CET), we'll have the first GLOW meeting of the year. Join us for two interesting talks and detailed discussions!
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Luis Müller @luismueller.bsky.social · 15/01/2025
GLOW is starting in 30 minutes! Super excited about the talks today: First Transformer reasoning and then NNs that take other NNs as input 🌟 See you there!!
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Max Thiessen @maxthiessen.bsky.social · 10/01/2025
🌟 GLOW 2025 kicks off with a great session in January! Join and interact with our speakers Clayton Sanford (on transformers for graph algorithms) and Derek Lim (on graph metanetworks). 🗓️ Jan 15th, 5pm CET on Zoom. 🌐 Details & sign-up: sites.google.com/view/graph-learning-on-weds.
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Tim van Erven @timvanerven.nl · 10/01/2025
The theory of interpretable AI seminar is back after the holiday season! 🎅🤶 Our next talk is next Thursday by Yishay Mansour who will talk about interpretable approximations 💻 Website: tverven.github.io/tiai-seminar/ ⏰Date: 16 Jan
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sliverdaemon.bsky.social @sliverdaemon.bsky.social · 07/01/2025
if you're into graph theory and its applications to drug discovery you might enjoy this short (7min) talk by two budding researchers 👏
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Max Thiessen @maxthiessen.bsky.social · 07/01/2025
Ever needed a graph neural network with maximal expressivity on almost all molecules (aka 𝗼𝘂𝘁𝗲𝗿𝗽𝗹𝗮𝗻𝗮𝗿 graphs)? Turns out you only need a simple graph transformation called 𝐶𝐴𝑇! Short talk: youtube.com/watch?v=AW6C... TMLR paper: openreview.net/forum?id=XxbQA
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EEML @eemlcommunity.bsky.social · 15/12/2024
EEML'25, our yearly machine learning summer school event, will be organised next summer in the beautiful city of Sarajevo - the place where East meets West 🇧🇦🇧🇦🇧🇦. More details coming soon, please see the link in the thread!
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Gautam Kamath @gautamkamath.com · 20/12/2024
Announcing the accepted papers for ALT 2025! It was a very competitive year, and we were able to accept only 51 of 144 submissions. Thanks to my co-chair Po-Ling Loh and the entire program committee for their hard work! See you in Milan in February! algorithmiclearningtheory.org/alt2025/acce...
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Pierre Alquier @pierrealquier.bsky.social · 18/12/2024
ALT 2025: list of accepted papers. Congratulations to the authors ! openreview.net/group?id=alg...
openreview.net
ALT 2025 Conference
Welcome to the OpenReview homepage for ALT 2025 Conference
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Max Thiessen @maxthiessen.bsky.social · 17/12/2024
Join this year's last edition of Graph Learning on Wednesdays (GLOW) tomorrow at 5pm CET!
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Fabrizio Frasca @ffabffrasca.bsky.social · 03/12/2024
🌟 GLOW is coming back in December with amazing speakers: Emily Jin and @joshsouthern.bsky.social ! 🗓️ Dec 18th @ 17 CET on Zoom, don't miss that! 🌐 Find more here: sites.google.com/view/graph-l...
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Pascal Welke @pascalwelke.bsky.social · 03/12/2024
Give yourself an early Christmas present: Visit GLOW and learn about two amazing papers and interact with their authors!
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joshsouthern.bsky.social @joshsouthern.bsky.social · 03/12/2024
Looking forward to speaking at this!
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Max Thiessen @maxthiessen.bsky.social · 03/12/2024
Ever wondered how 𝗮𝗯𝘀𝘁𝗲𝗻𝘁𝗶𝗼𝗻 can help you with 𝘢𝘥𝘷𝘦𝘳𝘴𝘢𝘳𝘪𝘢𝘭 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘶𝘢𝘭 𝘣𝘢𝘯𝘥𝘪𝘵𝘴? Come chat with my colleagues next week in Vancouver or meet me in the next two days at the NeurIPS@Paris meetup! arxiv.org/abs/2402.14585 #NeurIPS #neurips2024
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Max Thiessen @maxthiessen.bsky.social · 20/11/2024
Reminder: we meet in (slightly less than) 5 hours, please join!
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Max Thiessen @maxthiessen.bsky.social · 16/11/2024
Join our new reading group GLOW on the foundations of graph learning. Everybody is welcome! 🌟 Next meeting: Nov 20th! 👀 Speakers: Paolo Pellizzoni and Maya Bechler-Speicher sites.google.com/view/graph-l...
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Kimon Fountoulakis @kfountou.bsky.social · 16/11/2024
Here is an initial starter pack list on Machine Learning on Graphs: go.bsky.app/HN2MTzp
go.bsky.app
Machine Learning on Graphs
Join the conversation
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