Matthias Lanzinger

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Matthias Lanzinger

Matthias Lanzinger

@mat_lanzinger

Assistant Professor @tuvienna, previously @UniofOxford | Research in #databasetheory & #GNNs

Katılım Mart 2024
70 Takip Edilen49 Takipçiler
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İsmail İlkan Ceylan
İsmail İlkan Ceylan@ismaililkanc·
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
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Michael Bronstein
Michael Bronstein@mmbronstein·
Apply for the AITHYRA-CeMM International PhD Program! 15-20 fully funded PhD fellowships available in Vienna in AI/ML and Life Sciences Deadline for applications: 10 September 2025 apply.cemm.at
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Chaitanya K. Joshi
Chaitanya K. Joshi@chaitjo·
Have you ever been frustrated by how hard it is to tinker with AlphaFold 3? Here's a (hopefully) simple repo to instal locally on laptop/single-GPU and a handy notebook to play around with!
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Linus ✦ Ekenstam
Linus ✦ Ekenstam@LinusEkenstam·
Full system prompt omitted by Grok This is from 07:40am PST today Sunday 23, 2025 So much for free speech, no censorship etc. Link to full chat below
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Eleonora Giunchiglia
Eleonora Giunchiglia@e_giunchiglia·
Fully funded PhD in Neurosymbolic AI for Finance 💰🤖 🔍 Work at Imperial College London on cutting-edge AI for financial applications! [1/3]
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Stefan Neumann | @neumannstefan.com
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 link to call in the tweet below.
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Andreas Kirsch 🇺🇦
Andreas Kirsch 🇺🇦@BlackHC·
I'm sorry for any hurt feelings for calling NeurIPS PCs clowns and pointing out an apparent domain conflict of interest. I didn't mean any PC individually or personally, but the organization and its (lack of) processes. Sadly, my sentiment was warranted - even if the phrasing might not be to everyone's liking. So, to avoid further tone policing and suggestions to remove the tweet, let me rephrase it to remove any personal mention: NeurIPS is a clown show ("a comically shambolic state of affairs"), and I'm disappointed by the unprofessional official response and the lack of seriousness at the biggest ML conference. I wonder if my takeaway and recommendations should be to take such papers as the role models they are presented as. The incentives are clear: Publish in an area with much hype and fewer knowledgable reviewers; do not worry about attribution; put all of your related work section in the appendix; if someone complains informally, always agree but never act or only to the bare minimum; always wait until after the conference (or at least after the decision notice) to address anything; and if worst comes to worst and someone complains formally, fear not because there are no good processes anyway - everybody knows each other, and there are too many other incentives for anyone to be a party pooper. The ML community has neither teeth nor an appetite for academic integrity. There are too many things that taste sweeter.
Andreas Kirsch 🇺🇦@BlackHC

NeurIPS 2024 PCs being a bunch of clowns 🤡 the state of ML 🙄 All you get back a month after raising a concern:

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Andreas Kirsch 🇺🇦
Andreas Kirsch 🇺🇦@BlackHC·
NeurIPS 2024 PCs being a bunch of clowns 🤡 the state of ML 🙄 All you get back a month after raising a concern:
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Matthias Lanzinger
Matthias Lanzinger@mat_lanzinger·
5/5 Finally, a prototype implementation demonstrates the practical impact on query evaluation. Early experiments show potential for large performance gains on difficult queries in standard database systems (e.g., PostgreSQL, SparkSQL) Check it out arxiv.org/pdf/2412.11669
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Matthias Lanzinger
Matthias Lanzinger@mat_lanzinger·
4/ • SHW can achieve smaller widths than HW while remaining tractable to compute, boosting efficiency. • SHW induces a hierarchy of width measures that equal generalised hypertree width in the limit.
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Matthias Lanzinger
Matthias Lanzinger@mat_lanzinger·
1/ 📢 Excited to share our new paper: “Soft and Constrained Hypertree Width” – a step forward in optimizing database queries by introducing a flexible, and effective hypergraph decomposition framework. 🧵 arxiv.org/pdf/2412.11669
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