
Sebastian Lapuschkin
@SLapuschkin
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Head of #XAI at @FraunhoferHHI Google Scholar: https://t.co/fTd8OLgxRq
Berlin
Joined June 2022
RT @egor_zverev_ai: 🚀 We’ve released the source code for 𝗔𝗦𝗜𝗗𝗘 (presented as an 𝗢𝗿𝗮𝗹 at the #ICLR2025 BuildTrust workshop)!. 🔍ASIDE boosts….
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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
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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….
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RT @UMI_Lab_AI: Huge thanks again to our co-authors!. @anna_hedstroem @BommerPhiline @tfburns @SLapuschkin @WojciechSamek @Marina_MCV. @TU….
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RT @UMI_Lab_AI: 🚨 New paper alert! 🚨. We’re excited to share our latest work on interpretability evaluation:. "Evaluating Interpretable Met….
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RT @FraunhoferHHI: Congrats to Fraunhofer HHI #XAI experts @WojciechSamek & @SLapuschkin!. @Handelsblatt has listed them among the most cit….
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RT @di_lya: ✨Introducing quanda: an open-source library for benchmarking training data attribution (TDA) methods in PyTorch!. Quanda offers….
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RT @anna_hedstroem: We (@di_lya, Galip Ümit Yolcu, Niklas Schmolenski, @wiegand_t, @WojciechSamek, @SLapuschkin + me) just launched QUANDA….
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RT @UMI_Lab_AI: 🚨 New paper alert! 🚨. Excited to share Quanda—a toolkit for evaluating data attribution methods, accepted at #NeurIPS ATTRI….
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RT @kirill_bykov: I'm very excited to share some great news: the paper I supervised has been accepted to #NeurIPS2024. Huge congratulations….
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🚨 AttnLRP is at #ICML! Explain your transformers in a fast, efficient and best possible way! 🚨. more info: paper: code:
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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….
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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
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Thank you to co-authors Maximilian Dreyer, Reduan Achtibat and @WojciechSamek , all affiliated to @FraunhoferHHI.
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RT @di_lya: Check out our paper "Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression" at….
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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:
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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….
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