Max Thiessen
@maxthiessen.bsky.social
Reposted by Max Thiessen
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-...
October 31, 2025 at 6:14 AM
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-...
Reposted by Max Thiessen
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
some personal highlights of the program below.
1/n
October 29, 2025 at 11:47 AM
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
some personal highlights of the program below.
1/n
Reposted by Max Thiessen
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/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 😅
Welcome to the Data Mining and Machine Learning Book — Data Mining and Machine Learning Jupyter Book
sibylse.github.io
July 25, 2025 at 5:49 PM
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/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 😅
Reposted by Max Thiessen
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
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
July 16, 2025 at 10:01 PM
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
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
Reposted by Max Thiessen
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.
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.
May 25, 2025 at 1:02 PM
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.
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.
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.
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.
May 25, 2025 at 1:02 PM
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.
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.
Reposted by Max Thiessen
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
Accepted at COLT'25 🥳
arXiv: arxiv.org/pdf/2502.16462
May 5, 2025 at 5:46 PM
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
Accepted at COLT'25 🥳
arXiv: arxiv.org/pdf/2502.16462
Reposted by Max Thiessen
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...
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
international.au.dk
April 30, 2025 at 9:24 AM
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...
Reposted by Max Thiessen
Come to Vienna to work at the intersection of AI and biological and medical research. These are fantastic opportunities!
A reminder that @aithyra.bsky.social has an open call for starting PIs. We offer some of the best conditions in Europe rivalling MP and ETHZ
www.oeaw.ac.at/aithyra/news...
www.oeaw.ac.at/aithyra/news...
April 29, 2025 at 7:48 AM
Come to Vienna to work at the intersection of AI and biological and medical research. These are fantastic opportunities!
Reposted by Max Thiessen
This is happening today! 🌟
Join me at the virtual GLOW seminar (5pm CET) for the first public showing of my 'LLMs as GNNs' talk. 💬🕸️
Join me at the virtual GLOW seminar (5pm CET) for the first public showing of my 'LLMs as GNNs' talk. 💬🕸️
March 26, 2025 at 9:40 AM
This is happening today! 🌟
Join me at the virtual GLOW seminar (5pm CET) for the first public showing of my 'LLMs as GNNs' talk. 💬🕸️
Join me at the virtual GLOW seminar (5pm CET) for the first public showing of my 'LLMs as GNNs' talk. 💬🕸️
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
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
March 20, 2025 at 7:39 PM
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
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
Reposted by Max Thiessen
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 ☺️
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 ☺️
Join one of the exciting projects led by: @ffabffrasca.bsky.social, Caterina Graziani, Anthea Monod & Omer Bobrowski, Guadalupe Gonzalez & Chirag Agarwal, @sukjulian.bsky.social, Vijay Prakash Dwivedi, Michael Murray, Yasha Ektefaie, Edward Hirst, Tancredi Schettini Gherardini
March 12, 2025 at 9:07 AM
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 ☺️
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 ☺️
Reposted by Max Thiessen
🌟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
👥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 2025
London Geometry and Machine Learning Summer School, July 7-11 2025
logml.ai
March 11, 2025 at 3:25 PM
🌟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
👥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
Reposted by Max Thiessen
Don’t miss out on this one :)
Make sure to tune in today at 17 CET 🌟
Make sure to tune in today at 17 CET 🌟
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...
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...
February 19, 2025 at 11:27 AM
Don’t miss out on this one :)
Make sure to tune in today at 17 CET 🌟
Make sure to tune in today at 17 CET 🌟
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...
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...
February 17, 2025 at 5:22 PM
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...
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...
Reposted by Max Thiessen
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/
Please apply and join our highly motivated team.
For more information please see the call: neumannstefan.com/hiring/
Call for Doctoral Students in Social Network Analysis, Algorithms and Fair Machine Learning
neumannstefan.com
January 29, 2025 at 12:57 PM
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/
Please apply and join our highly motivated team.
For more information please see the call: neumannstefan.com/hiring/
Reposted by Max Thiessen
Maximally Expressive GNNs for Outerplanar Graphs
Franka Bause, Fabian Jogl, Patrick Indri et al.
Action editor: Ellen Vitercik
https://openreview.net/forum?id=XxbQAsxrRC
#graphs #graph #mpnns
Franka Bause, Fabian Jogl, Patrick Indri et al.
Action editor: Ellen Vitercik
https://openreview.net/forum?id=XxbQAsxrRC
#graphs #graph #mpnns
January 16, 2025 at 5:07 AM
Maximally Expressive GNNs for Outerplanar Graphs
Franka Bause, Fabian Jogl, Patrick Indri et al.
Action editor: Ellen Vitercik
https://openreview.net/forum?id=XxbQAsxrRC
#graphs #graph #mpnns
Franka Bause, Fabian Jogl, Patrick Indri et al.
Action editor: Ellen Vitercik
https://openreview.net/forum?id=XxbQAsxrRC
#graphs #graph #mpnns
Reposted by Max Thiessen
Join us in 30 mins! 🌟
🌟 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.
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.
January 15, 2025 at 3:30 PM
Join us in 30 mins! 🌟
Reposted by Max Thiessen
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!
🌟 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.
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.
January 15, 2025 at 2:03 PM
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!
Reposted by Max Thiessen
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!!
🌟 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.
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.
January 15, 2025 at 3:40 PM
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!!
🌟 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.
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.
January 10, 2025 at 8:55 AM
🌟 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.
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.
Reposted by Max Thiessen
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
Our next talk is next Thursday by Yishay Mansour who will talk about interpretable approximations
💻 Website: tverven.github.io/tiai-seminar/
⏰Date: 16 Jan
January 10, 2025 at 8:05 AM
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
Our next talk is next Thursday by Yishay Mansour who will talk about interpretable approximations
💻 Website: tverven.github.io/tiai-seminar/
⏰Date: 16 Jan
Reposted by Max Thiessen
if you're into graph theory and its applications to drug discovery you might enjoy this short (7min) talk by two budding researchers 👏
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
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
January 7, 2025 at 9:19 PM
if you're into graph theory and its applications to drug discovery you might enjoy this short (7min) talk by two budding researchers 👏
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
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
January 7, 2025 at 4:19 PM
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
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
Reposted by Max Thiessen
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!
More details coming soon, please see the link in the thread!
December 15, 2024 at 6:22 PM
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!
More details coming soon, please see the link in the thread!