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Ulrike Luxburg @ulrikeluxburg.bsky.social · 7d

Time to figure out which provable guarantees one can(not) give on XAI! Workshop "Theory of Explainable Machine
Learning", Dec 2 in Copenhagen as part of the Ellis
Unconference/EurIPS. Submission deadline: Oct 15.

sites.google.com/view/theory-...
eurips.cc/ellis/

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Ulrike Luxburg @ulrikeluxburg.bsky.social · 21d

I am hiring PhD students and/or Postdocs, to work on the theory of explainable machine learning. Please apply through Ellis or IMPRS, deadlines end october/mid november. In particular: Women, where are you? Our community needs you!!!

imprs.is.mpg.de/application
ellis.eu/news/ellis-p...

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Ulrike Luxburg @ulrikeluxburg.bsky.social · Jul 23

Our Machine Learning for Science Cluster in Tübingen @ml4science.bsky.social is extending its collaboration with the African Institute for Mathematical Sciences #AIMS: We hire a joint research group leader, based in Kigali. Application deadline: August 31.

tinyurl.com/38z4e6dy

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Ulrike Luxburg @ulrikeluxburg.bsky.social · Jul 21

I love the #eurips initiative! But to live up to its potential, it should be accepted an official #neurips conference location (similar to Mexico City) and not just an addon! Then we would save C02, rather than adding to it!!! What can we do to achieve this?

EurIPS Conference @euripsconf.bsky.social · Jul 16

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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Ulrike Luxburg @ulrikeluxburg.bsky.social · Jul 14

How to disentangle feature importance scores into contributions of individual features, feature interactions in the function, and feature dependencies in the data: #AISTATS with @gunnark und Eric Guenther:
Paper: arxiv.org/pdf/2410.23772
Code: github.com/gcskoenig/dipd
Video: youtu.be/7MrMjabTbuM

Gunnar König @gunnark.bsky.social · Jul 7

In many XAI applications, it is crucial to determine whether features contribute individually or only when combined. However, existing methods fail to reveal cooperations since they entangle individual contributions with those made via interactions and dependencies. We show how to disentangle them!

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Ulrike Luxburg @ulrikeluxburg.bsky.social · Jul 11

Our #ICML position paper: #XAI is similar to applied statistics: it uses summary statistics in an attempt to answer real world questions. But authors need to state how concretely (!) their XAI statistics contributes to answer which concrete (!) question!
arxiv.org/abs/2402.02870

Sebastian Bordt @sbordt.bsky.social · Jul 10

During the last couple of years, we have read a lot of papers on explainability and often felt that something was fundamentally missing🤔

This led us to write a position paper (accepted at #ICML2025) that attempts to identify the problem and to propose a solution.

arxiv.org/abs/2402.02870
👇🧵

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Ulrike Luxburg @ulrikeluxburg.bsky.social · Jul 8

Cool #ICML paper by my postdoc @sbordt.bsky.social . Very careful experiments to find out how often you can contaminate training data yet contents are being forgotten - or not, depending on the size of your model.

arxiv.org/abs/2410.03249

Sebastian Bordt @sbordt.bsky.social · Jul 8

Have you ever wondered whether a few times of data contamination really lead to benchmark overfitting?🤔 Then our latest #ICML paper about the effect of data contamination on LLM evals might be for you!🚀

Paper: arxiv.org/abs/2410.03249
👇🧵

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Ulrike Luxburg @ulrikeluxburg.bsky.social · Jun 2

One more day to the deadline for YOUR contribution to the Tübingen AI and Law Conference in November!

ailawinstitute.de/conference-f...

CZS Institute for AI and Law @czsiail.bsky.social · May 21

CALL FOR CONTRIBUTIONS Tübingen Conference for AI and Law by 03.06.2025

⭐ Wide-ranged contributions from researchers in all stages of their careers

⭐ Topics may span the breadth of research connecting AI and Law

Further details: ailawinstitute.de/conference-f...

#ArtificialIntellgience #Law #AI

Ulrike Luxburg @ulrikeluxburg.bsky.social · May 29

Super-happy that @mariokrenn.bsky.social is joining our Machine Learning for Science cluster @ml4science.bsky.social‬
in Tübingen as a Full Professor of "Machine Learning for Science" next week. Welcome Mario!

Mario Krenn @mariokrenn.bsky.social · Mar 12

Very happy to announce that I'll be joining the University of Tübingen @unituebingen.bsky.social as a Full Professor (W3) of "Machine Learning for Science" in the Computer Science Department within the Faculty of Science and the #ExcellenceCluster @ml4science.bsky.social

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Ulrike Luxburg @ulrikeluxburg.bsky.social · May 26

Tübingen Conference for AI and Law, Nov 5-6, 2005, abstract deadline: June 3! Keynote presentations by Rediet Abebe, Solon Barocas, Sylvie Delacroix, Christoph Engel, Michal Gal, Philipp Hacker, Christoph Kern, Christoph Sorge.
Please repost :-)
ailawinstitute.de/conference-f...

Tübingen Conference for AI and law - CZS Institute for Artificial Intelligence and Law

November 5-6 2025 in Tübingen The Tübingen Conference for Artificial Intelligence and law brings together academic researchers from both computer science and law in an interdisciplinary format that fo...

ailawinstitute.de

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Ulrike Luxburg @ulrikeluxburg.bsky.social · May 23

Our cluster Machine Learning for Science is up for 7 years more funding!

ML for Science @ml4science.bsky.social · May 22

We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy

The members of the Cluster of Excellence "Machine Learning: New Perspectives for Science" raise their glasses and celebrate securing another funding period.

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Ulrike Luxburg @ulrikeluxburg.bsky.social · May 21

Want to present at the Tübingen Conference for AI and Law? Abstract deadline is June 3! We target an academic audience that is willing to think beyond the boundaries of their own discipline. Also check out our international keynote speakers:
ailawinstitute.de/conference-f...

Ulrike Luxburg @ulrikeluxburg.bsky.social · May 15

Ever aggregated SHAP values across sample points? Our #COLT2025 paper proves that this might be safe when your goal is to discard unimportant features - but only if you add one extra line of code that reshuffles your data! With Robi Bhattacharjee and Karolin Frohnapfel
arxiv.org/abs/2503.23111

How to safely discard features based on aggregate SHAP values

SHAP is one of the most popular local feature-attribution methods. Given a function f and an input x, it quantifies each feature's contribution to f(x). Recently, SHAP has been increasingly used for g...

arxiv.org

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Ulrike Luxburg @ulrikeluxburg.bsky.social · May 5

Finally made it to bluesky as well ...

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