RT @egor_zverev_ai: 🚀 We’ve released the source code for 𝗔𝗦𝗜𝗗𝗘 (presented as an 𝗢𝗿𝗮𝗹 at the #ICLR2025 BuildTrust workshop)!. 🔍ASIDE boosts….

Have had enough of the fake "sources" "cited" by ChatGPT? We have the solution in the form of low-cost causal citations for LLMs: Thanks to my amazing co-authors @pkhdipraja. , Reduan Achtibat, @wiegand_t. and @WojciechSamek. from @FraunhoferHHI

RT @pkhdipraja: ICL allows LLMs to adapt to new tasks and at the same time enables them to access external knowledge through RAG. How does….

RT @UMI_Lab_AI: Huge thanks again to our co-authors!. @anna_hedstroem @BommerPhiline @tfburns @SLapuschkin @WojciechSamek @Marina_MCV. @TU….

RT @UMI_Lab_AI: 🚨 New paper alert! 🚨. We’re excited to share our latest work on interpretability evaluation:. "Evaluating Interpretable Met….

RT @FraunhoferHHI: Congrats to Fraunhofer HHI #XAI experts @WojciechSamek & @SLapuschkin!. @Handelsblatt has listed them among the most cit….

RT @di_lya: ✨Introducing quanda: an open-source library for benchmarking training data attribution (TDA) methods in PyTorch!. Quanda offers….

RT @anna_hedstroem: We (@di_lya, Galip Ümit Yolcu, Niklas Schmolenski, @wiegand_t, @WojciechSamek, @SLapuschkin + me) just launched QUANDA….

RT @UMI_Lab_AI: 🚨 New paper alert! 🚨. Excited to share Quanda—a toolkit for evaluating data attribution methods, accepted at #NeurIPS ATTRI….

RT @kirill_bykov: I'm very excited to share some great news: the paper I supervised has been accepted to #NeurIPS2024. Huge congratulations….

Go meet our #AttnLRP - Team at #ICML -- Reduan Achtibat, (Sayed) Erfan Hatefi and Aakriti Jain, right now!. Discuss how to best (ie, fast, cheap, faithful!) explain your transformer-based model during Poster Session 2!

🚨 AttnLRP is at #ICML! Explain your transformers in a fast, efficient and best possible way! 🚨. more info: paper: code:

RT @anna_hedstroem: Our latest paper is out! . On Tuesday, 17 July, we will present our latest work "A Fresh Look at Sanity Checks for Sali….

New paper alert!. With EMPRT and SMPRT we fix some glaring issues with the original Model Parameter Randomization Test (MPRT). Visit our talk at the 2nd XAI World Conference in Valetta, Malta, on July 17th!. more info & paper:

Much appreciation and Thanks to @FraunhoferHHI for the support of this work.

Another paper presented during CVPR from my group!.With PURE, we can purify neural representations for more crisp, precise and contextual information. More info / code / paper here: Kudos to Max Dreyer, Erblina Purellku, @jvielhaben, @WojciechSamek

Thank you to co-authors Maximilian Dreyer, Reduan Achtibat and @WojciechSamek , all affiliated to @FraunhoferHHI.

RT @di_lya: Check out our paper "Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression" at….

New paper alert! Check out our paper called "Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations" (PCX) scheduled for presentation during #CVPR this year!. date&time/paper/code/project page:

RT @FraunhoferHHI: How can we use AI to automate our #rail transportation, when we all know how bad mobile data service can be on the train….