Postdoc @uni_tue | machine learning theory
Tübingen, Germany
Joined January 2020
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- Following723
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Max Thiessen retweeted
I'm hiring a postdoc! The position is funded by my new ERC Starting Grant, GDLNeuralArt, and based in my group at the Technion.
We work on learning on weight spaces, internal representations and gradient spaces: treating neural networks themselves and their artifacts as data. 🧵
Max Thiessen retweeted
Join us this Thursday for the Theory of Interpretable AI Seminar!
@DonyaSaless will present her COLT 2025 work on using small subsets of training data to provide robust, compact explanations for ML predictions.
16:00 CET | 10:00 EST
@ML_Theorist @tverven
Max Thiessen retweeted
Awesome lineup @SimonsInstitute this week! Looking forward to the recordings. simons.berkeley.edu/workshop…
Max Thiessen retweeted
Accepted papers for #COLT2026:
learningtheory.org/colt2026/…
Max Thiessen retweeted
I can nominate one Canada Impact+ postdoc candidate at UAlberta. Please reach out only if you have a strong theory track record (learning theory/bandits-RL theory/LLM reasoning). Deadline: May 10 (23:59 MT. Email: CV + best papers + brief pitch. Pls RT tinyurl.com/38vt2vyj
Max Thiessen retweeted
🎉 Applications are open for MLSS 2026 — the 50th edition of the Machine Learning Summer School!
Join us in Tübingen for world-class lectures, hands-on sessions, and an amazing ML community. 🧠
Apply now 👉 mlss2026.is.tuebingen.mpg.de…
#MLSS2026 #MachineLearning #SummerSchool #ML
Max Thiessen retweeted
Huge congrats to Chirag Pabbaraju on this beautiful result!
The new paper shows the DS dimension fully characterizes multiclass learnability - a true analogue of VC dimension beyond the binary world.
Thrilled (and a bit surreal) to be the “S” in DS :)
link 👇
@amit_daniely
Max Thiessen retweeted
Where learning theory meets modern ML:
Learning Theory Summer School (22-25 Jun) + Workshop (26-27 Jun)
📍 Copenhagen 🇩🇰
📚 Generalisation, optimisation, RL & responsible ML
⏰ Register by 25 May
🔗 All info: ltsscopenhagen.github.io/
Max Thiessen retweeted
🚀 Sponsorship & collaboration opportunities for LOGML 2026 are now open!
Partner with us for visibility, talent access, and direct engagement with top ML researchers & practitioners.
📩 [email protected]
📝 Sponsorship form in comments
#LOGML2026 #MachineLearning
Max Thiessen retweeted
🎓 PhD Position in Graph Learning
📍 University of Vienna
We seek a motivated PhD student with strong interest in machine learning, graph theory & mathematical foundations.
🗓 Deadline: 26.03.2026
👉 Apply here: jobs.univie.ac.at/job/Univer…
#PhD #GraphLearning #Hiring
Max Thiessen retweeted
🚨Applications for RLSS 2026 Milan are now open!🚨 Deadline: March 27th AoE! Apply here: openreview.net/group?id=rlsu…
Max Thiessen retweeted
our team at @UPFBarcelona is hiring a POSTDOC on graphical models and statistical learning!
deadline: jan 30
Max Thiessen retweeted
🌟 GLOW is back tomorrow, Oct 29th, 5pm CEST on Zoom!
- Celia Rubio-Madrigal will talk about feature-similarity-based rewiring (openreview.net/pdf?id=g6v09V…)
- Lorenz Kummer will show how to attack GNNs with bit-flips (dl.acm.org/doi/pdf/10.1145/3…)
Plenty of discussions as usual ☺️
Max Thiessen retweeted
check out this PhD opportunity for female students from Africa at @UPFBarcelona :
upf.edu/web/phd-engineering/…
i have hired my amazing student @NnekaOkolo4 via this program, which was a great success. hope i can find someone this time as well!
let me know if you have any questions
Max Thiessen retweeted
Wanna chat with an experienced learning theory researcher? We have open office hours online with four awesome folks, Surbhi Goel (@SurbhiGoel_), Gautam Kamath (@thegautamkamath), Ayush Sekhari (@ayush_sekhari), Lydia Zakynthinou (@zakynthinou)!
Book a slot and ask them anything!
Max Thiessen retweeted
🚨 Submissions for ALT2026 are now open! Submit your best work and join us in Toronto!🚨
Deadline: October 2 AoE
Conference: Feb 23-26, 2026
algorithmiclearningtheory.or…
Max Thiessen retweeted
Federico and I are excited to present our work on an alternative perspective of some of the current problems in Graph ML at the GLOW reading group 🌟
Join us in half an hour! (today at 5 pm CEST)
📜arxiv.org/abs/2505.15547
🌐sites.google.com/view/graph-…
🌟Next GLOW session: Oversmoothing, “Oversquashing”, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph ML
👤 with Adrián & Federico.
🔥 Discussion-heavy continuation of our last packed sessions.
📅 Sep 3rd, 5pm CEST on Zoom!
sites.google.com/view/graph-…
Max Thiessen retweeted
GLOW is "so back" after the summer break!
Tomorrow: an interaction-heavy, plenary session on oversmoothing/squashing, homo/heterophily and their interplay.
Tune in! ☺️
(spoiler: prominent researchers on the topics will also join Adrián and Federico in the discussions 😇)
🌟Next GLOW session: Oversmoothing, “Oversquashing”, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph ML
👤 with Adrián & Federico.
🔥 Discussion-heavy continuation of our last packed sessions.
📅 Sep 3rd, 5pm CEST on Zoom!
sites.google.com/view/graph-…
Max Thiessen retweeted
🌟Next GLOW session: Oversmoothing, “Oversquashing”, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph ML
👤 with Adrián & Federico.
🔥 Discussion-heavy continuation of our last packed sessions.
📅 Sep 3rd, 5pm CEST on Zoom!
sites.google.com/view/graph-…
Max Thiessen retweeted
On Thursday, 7th of August, @frar3ba successfully defended her doctoral thesis entitled "Efficient and Expressive Graph Learning". This is the first doctoral thesis completed in my working group at @univienna and I am truly impressed by the results. Congratulations @frar3ba!
