Lorenz Linhardt

🚨 New paper alert! Towards Fast and Disentangled Counterfactuals for Visual Foundation Models: arxiv.org/pdf/2610.00895

🚨 New paper alert! WaX, a method to explain what drives dataset shift by decomposing Wasserstein distances into exact instance- and feature-level attributions using XAI. doi.org/10.1109/TPAM...

🚨 New preprint alert! Distributed Sparse Interventions (DSI), a method to steer LLM behavior by intervening on as few as 8-64 neurons (as little as 0.01% of a model!), instead of whole layers or directions in activation space. 🔗 arxiv.org/abs/2607.07128

🔦Past Paper Highlight: Scaling Higher-Order Explanations for Graph Neural Networks 📄Efficient Higher-Order Subgraph Attribution via Message Passing 🔗 proceedings.mlr.press/v162/xiong22... 📄Relevant Walk Search for Explaining Graph Neural Networks 🔗 proceedings.mlr.press/v202/xiong23...

BIFOLD supports IEEE SaTML 2026. 🧵 🔔Program Chair: Konrad Rieck, alongside Rachel Cummings 🔔Web Chair: @eisenhofer.bsky.social & Stefan Czybik 🔔Part of the Program Committee: Thorsten Eisenhofer, @kirillbykov.bsky.social @tuberlin.bsky.social @tumunich.bsky.social @rieck.mlsec.org @satml.org

🚨 Final call: 10 PhD positions in ML & Data Science at BIFOLD Application deadline: February 13, 2025 – This Friday! #GraduateSchool 2026 www.jobs.tu-berlin.de/en/job-posti... #hiring #phd #AcademicJobs #PhDPosition #naturalscience #AI #phd #phdjobs #VacancyEdu #ScienceCareer

2025 marks the 10-year anniversary of Layer-wise Relevance Propagation (LRP)! 🥳 To celebrate a decade of this attribution method, we highlight key milestones from the past ten years in our LinkedIn post. Learn more here: www.linkedin.com/posts/xai-be...

🚀 Visit our #NeurIPS posters at @neuripsconf.bsky.social! Meet and interact with our authors at all locations — San Diego, Mexico City, and Copenhagen. Details in the thread. 👇👇👇

We are grateful for the opportunity to present some of our work at the All Hands Meeting of the German AI Centers, hosted by @dfki.bsky.social in Saarbrücken. Andreas Lutz @eberleoliver.bsky.social Manuel Welte @lorenzlinhardt.bsky.social @lkopf.bsky.social #AI #XAI #Interpretability

This is the eXplainable AI research channel of the machine learning group of Prof. Klaus-Robert Müller at Technische Universität Berlin @tuberlin.bsky.social & BIFOLD @bifold.berlin. Let's connect! #XAI #ExplainableAI #MechInterp #MachineLearning #Interpretability

Had a great time visiting @darpsky.bsky.social at Technische Universität Wien last week. It's exciting to see him build up his new group! Many thanks to the whole Security & Privacy research unit for the welcoming atmosphere and interesting discussions!

🎉 Presenting at #ICML2025 tomorrow! Come and explore how representational similarities behave across datasets :) 📅 Thu Jul 17, 11 AM-1:30 PM PDT 📍 East Exhibition Hall A-B #E-2510 Huge thanks to @lorenzlinhardt.bsky.social, Marco Morik, Jonas Dippel, Simon Kornblith, and @lukasmut.bsky.social!

Join us - we have four open positions for doctoral/postdoctoral researchers at BIFOLD, doing cutting edge research in data management and machine learning as well as their intersections. More information: www.bifold.berlin/about-us/opp...

I am deeply grateful to @lorenzlinhardt.bsky.social, Marco Morik, Jonas Dippel, Simon Kornblith, and @lukasmut.bsky.social for their great work and support in this project! We also thank our collaborators, @bifold.berlin and HFA 7/7 📄Paper: arxiv.org/abs/2411.05561 💻Code: github.com/lciernik/sim...

CALL FOR PAPERS: #XAI2025, Special Track: Actionable explainable AI. Submit your paper and check the Submission deadlines: xaiworldconference.com/2025/importa... Actionable Explainable AI xaiworldconference.com/2025/actiona...

Thanks to everyone for the lively discussions on concept convexity and alignment in DL models at #NLDL (Northern Lights Deep Learning conference)! ❄️❄️ Had a great time in beautiful Tromsø connecting with fellow researchers 🤝 📜 Feel free to check out our preprint: arxiv.org/abs/2409.06362

Happy to co-chair this year's special track on "Actionable Explainable AI" with a great team! 📄🦾 Please consider submitting! (Abstract deadline: February 10th) ☝️

Excited that Re-Align will have its second iteration at ICLR 2025 in Singapore! More soon! 🧠🤖