Hammer Lab ML (inactive)
@HammerLabML
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The official Twitter account of the #MachineLearning lab led by Prof. Barbara Hammer @unibielefeld from 05/2019 - 01/2025. Inactive.
Bielefeld, Germany
Joined May 2019
Due to recent developments on this platform, including increasingly anti-scientific & anti-democratic tendencies, this account is no longer active. Thank you for your interest!.For recent news, publications, and events in and around our lab, visit:
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RT @WaterFuturesERC: Congratulations to one of our PIs Barbara @HammerLabML for being inducted into Academia Europea!.
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RT @davidmschmidtde: 🚨 Thrilled to announce a new preprint!. 📝 Title: Lexicalization Is All You Need: Examining the Impact of Lexical Knowl….
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RT @pkoundouri: our @WaterFuturesERC Synergy Grant Meeting at @KWR_Water - Our interdisciplinary team is shaping the #future of #urban dri….
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RT @FoGipf: Plädoyer für eine bessere Kommunikation! Danke @HammerLabML. Wir sind gespannt auf die Fortsetzung der Diskussionen rund um #KI….
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🚀Barbara Hammer enjoyed great discussions at today’s follow-up breakfast from the Research & Innovation Summit @stifterverband on speeding up AI in 🇩🇪&🇪🇺:.💡Unified AI strategies.💡Legal clarity.💡Faster innovation.💡Investment in AI skills.
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RT @DiceResearch: New research project started!🥳🎉 We launched our new project "KI-Akademie OWL", in which @unipb, @unibielefeld, #HSBI and….
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RT @DrUlrikeKuhl: Last day @IJCAIconf, and we‘re starting strong with #XAI! Keynote by @fra_toni that bridges 🌉 explainability 🗣️ and conte….
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RT @tmiller_uq: Andre Artelt applied DataSHAP to investigate the effect of training data samples on explanation. A paper with lovely theory….
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#XAI workshop @IJCAIconf: André Artelt showing how training samples impact explanations:.➡️suggesting a quantification of explanation importance .➡️how to find the most relevant samples for a explanation .➡️showing how removal of identified samples may reduce unfairness
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🎉Exciting News! Our own André Artelt & his @WaterFuturesERC colleagues just won the Best Poster 🏆 at the '#AI for Critical Infrastructure Workshop' @IJCAIconf, presenting the EPyT-Flow Toolbox!🧰.📜➡️🧑💻➡️@GitHub: Congratulations!
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It’s a wrap on the tutorial on #counterfactuals and user studies for #XAI @IJCAIconf. Anyone who’s curious: The materials (slides and code) are available @github: For more info about the general program, visit
@IJCAIconf, the #XAI tutorial by our own André Artelt and @DrUlrikeKuhl, together with @keanema, is in session! It started with a history of counterfactuals in psychology and first basics of user studies, followed by computational foundations of computing counterfactuals.
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RT @HammerLabML: @IJCAIconf, the #XAI tutorial by our own André Artelt and @DrUlrikeKuhl, together with @keanema, is in session! It started….
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RT @DrUlrikeKuhl: @IJCAIconf I‘ve had a great time presenting the basics of how to run effective user studies to explore the usability of X….
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RT @IJCAIconf: #Tutorial At the T06: All You Ever Need to Know About Counterfactual Explanations: Fundamentals, Methods, & User Studies for….
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RT @DrUlrikeKuhl: @IJCAIconf, let’s go! About to board the plane for Jeju 🇰🇷 via Shanghai! Can't wait to dive into the ins and outs of #Cou….
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Today, André Artelt had a great time at the 2nd World Conference on #XAI in beautiful Malta🇲🇹 presenting his latest research on group counterfactual explanations.Check out the pre-print.#Counterfactuals #MachineLearning
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