Max Thiessen @maxthiessen_ml
PhD student in machine learning @tu_wien. graph learning | convexity | learning theory maxthiessen.github.io Vienna, Austria Joined January 2020-
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check out this PhD opportunity for female students from Africa at @UPFBarcelona : upf.edu/web/phd-engine… 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
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!
🚨 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.org/alt2026/
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-lea…
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-lea…
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 😇)
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-lea…
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!
Excited to announce the Reliable ML workshop at @NeurIPSConf 2025! 📣 How do we build trustworthy models under distribution shift, adversarial attacks, strategic behavior, and missing data? Fantastic lineup of speakers/panelists: Ahmad Beirami (@abeirami), Surbhi Goel…
Thrilled to share that I’ll be joining TU Vienna as CS Faculty! Excited to teach, research, and collaborate in this inspiring community — all while continuing to supervise my talented students at Oxford. Looking forward to this adventure! #TUVienna #AITHYRA #UniversityOfOxford
Really excited that I will be co-chairing ALT 2026 with Matus Telgarsky! The conference will be Feb 23-26, 2026 at the Fields Institute in Toronto. Website with cfp is now live---stay tuned for updates Please submit your best work and come join us!
This will be great newgraphperspectives.com.
NeurIPS is pleased to officially endorse EurIPS, an independently-organized meeting taking place in Copenhagen this year, which will offer researchers an opportunity to additionally present their accepted NeurIPS work in Europe, concurrently with NeurIPS. Read more in our blog…
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 and #NordicAIR and is co-developed by @ELLISforEurope eurips.cc
➡️ "Of dice and games: a theory of generalized boosting." and "A fine-grained characterization of PAC learnability.", both by Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen.
Excited to present our recent work on Trooical Algebraic Geometry, Transformers and Neural Algorithmic Reasoning
Excited to present our recent work on Trooical Algebraic Geometry, Transformers and Neural Algorithmic Reasoning
🌟 Tune in for GLOW's summer session this Wednesday! 🗓️ July 2nd, 5pm CEST on Zoom! 🌴@Rythian47 will present Tropical Attention for algo reasoning (arxiv.org/abs/2505.17190) 🧪 @jeremy_wayland will tell us about the intricacies of benchmarking GNNs (arxiv.org/abs/2502.02379)
Really enjoy reading the post (link: substack.com/inbox/post/166…) and joining the discussion at GLOW 🌟 My main take: ideas and tools in graph learning often inspire research in other fields, such as reasoning in LLMs 💡
Really enjoy reading the post (link: substack.com/inbox/post/166…) and joining the discussion at GLOW 🌟 My main take: ideas and tools in graph learning often inspire research in other fields, such as reasoning in LLMs 💡
Nice read! Also, have a look at our two ICML position papers: arxiv.org/abs/2502.14546 (Practice) and arxiv.org/abs/2402.02287 (Theory).
Nice read! Also, have a look at our two ICML position papers: arxiv.org/abs/2502.14546 (Practice) and arxiv.org/abs/2402.02287 (Theory).
In the post, we write and elaborate on what emerged from one of our open discussion sessions. We touched upon where the community stands and where it may be headed next. Hope you enjoy the read 🤗 This is a joint effort by the GLOW organisers with inputs from many researchers!
In the post, we write and elaborate on what emerged from one of our open discussion sessions. We touched upon where the community stands and where it may be headed next. Hope you enjoy the read 🤗 This is a joint effort by the GLOW organisers with inputs from many researchers!
Check out this blogpost from @ffabffrasca and the GLOW reading group on the future of graph learning! I’ve also contributed and my main take is - its actually working and its an exciting moment to work on applications!
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RAGE-KG 2025 @rage_kg
91 Followers 2K Following RAGE-KG (RAG Enabled by Knowledge Graphs) is an established academic workshop targeting synergies between #KGs, #RAG and #LLMs, coming to #ISWC 2025 🇯🇵.
Siddartha Devic @sid_devic
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Julien Zhou @jlnzhou
142 Followers 311 Following PhD Student @ Inria & Criteo AI Lab --- Theoretical Machine Learning, Probability, Statistics. --- Mainly nonsense. Hopefully maths sometimes.
Duo Cheng @DuoCheng99
82 Followers 328 Following Final-year CS PhD candidate at Virginia Tech | Countdown to life after academia | Online Learning, Bandits | he/him/his
Karish Grover @karishgrover
1K Followers 301 Following Visiting Researcher @Meta • ML Ph.D. @CarnegieMellon • Ex. @amazon @Microsoft @LinkedIn • Undergrad @IIITDelhi • Geometric DL / Graphs
Erfan Mirzaei @erfunmirzaei
306 Followers 743 Following Researcher @PontilGroup @IITalk | Ph.D. Student @ELLISforEurope, @Polytechnique and @UniGenova. Interested in (deep) learning theory and others.
Claudius Dingani Muzi... @claudiusmuzimba
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Nneka Okolo @NnekaOkolo4
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Chara Podimata @charapod
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EurIPS Conference @EurIPSConf
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Sacha Braun @PotoSacho
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Konrad Rieck 🌈 @mlsec
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Charlotte Peale @_cpeale
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Eugène Berta @Eugene_Berta
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Antonio Orvieto @orvieto_antonio
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