Kristian Kersting

AI Generated Image of https://netzwerkrecherche.org/blog/algorithmen-wer-kontrolliert-die-neuen-machthaber/

10 (zehn !!1!) Jahre ist der NR-Talk von @spielkamp.bsky.social , @nettwerkerin.bsky.social, @kerstingaiml.bsky.social und mir her, um über Algorithmen & Kontrolle zu reden.

Es war einer der Impulse für @algorithmwatch.org, bei mir Anfang eines kleinen ;-) Umwegs zur KI. But: Finally there!

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

📢 Present your NeurIPS paper in Europe!

Join EurIPS 2025 + ELLIS UnConference in Copenhagen for in-person talks, posters, workshops and more. Registration opens soon; save the date:

📅 Dec 2–7, 2025
📍 Copenhagen 🇩🇰
🔗eurips.cc

#EurIPS
@euripsconf.bsky.social‬

Can concept-based models handle complex, object-rich images? We think so! Meet Object-Centric Concept Bottlenecks (OCB) — adding object-awareness to interpretable AI. Led by David Steinmann w/ @toniwuest.bsky.social & @kerstingaiml.bsky.social .
📄 arxiv.org/abs/2505.244...
#AI #XAI #NeSy #CBM #ML

@kerstingaiml.bsky.social (TU Darmstadt), Frauke Kreuter (LMU Munich, MCML, @zuseschoolrelai.bsky.social ), Mira Mezini (TU Darmstadt), @igurevych.bsky.social (TU Darmstadt, @athenecenter.bsky.social), [...]
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@kerstingaiml.bsky.social ist Professor für KI und Maschinelles Lernen am @cs-tudarmstadt.bsky.social der @tuda.bsky.social und leitet dort das Artificial Intelligence and Machine Learning Lab (AIML).

🙏 for the invitation to give a talk at the Causal Neuro-Symbolic AI (Causal-NeSy) Workshop at ESWC. Integrating causality, neuro-symbolic reasoning, and machine learning to build more robust, interpretable, and generalizable AI systems is so important.

Diagnostic Reasoning in Natural Language: Computational Model and Application Diagnostic reasoning is a key component of expert work in many domains. It is a hard, time-consuming activity that requires expertise, and AI research has investigated the ways automated systems can s...

»Diagnostic Reasoning in Natural Language: Computational Model and Application« by @nilsdy.bsky.social, Matej Zečević, Ilia Kuznetsov, @kerstingaiml.bsky.social, @igurevych.bsky.social

📄 arxiv.org/abs/2409.05367
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☺️ Glad that you are part of the team 💪🏻

Thanks ☺️🙏

Reasonable and safe: The future of artificial intelligence The researchers in the new Cluster of Excellence “Reasonable Artificial Intelligence” (RAI) , which is headed by TU Darmstadt, are carrying out research into a new generation of artificial…

🚀 TU Darmstadt leads the new Cluster of Excellence "Reasonable AI" – advancing trustworthy, efficient & adaptive AI grounded in common sense. A big thank you to the entire team, the university, and the state of Hesse for their tremendous work & support!

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You Text-to-image generation models have recently achieved astonishing results in image quality, flexibility, and text alignment, and are consequently employed in a fast-growing number of applications. Th...

👉 Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
Joint work with folks from TU Darmstadt, TU Munich, @kathaem.bsky.social, @jlibovicky.bsky.social, @mbrackaiml.bsky.social, @kerstingaiml.bsky.social
arxiv.org/abs/2401.16092

Eine letzte Chance Podcast-Folge · bto – der Ökonomie-Podcast von Dr. Daniel Stelter · 11.05.2025 · 1 Std. 24 Min.

Wer tiefer einsteigen will: Im Podcast „Eine letzte Chance“ spricht @thinkBTO über das Digitalministerium – mit Bezug zu unserem Whitepaper zur digitalen Staatlichkeit.
Hören lohnt sich! 🎧
👉 podcasts.apple.com/de/podcast/b...

Beyond the obvious: Digitalisierung „made in Europe“ ist die letzte Chance Dass es in den 1980er-Jahren gelungen ist, den Mobilfunk-Standard GSM als globalen Standard zu etablieren, lag am gemeinsamen europäischen Vorgehen und einer Entscheidung.

Ich freue mich, in der aktuellen Beyond the Obvious-Kolumne von @thinkBTO im @handelsblatt zum neuen Digitalministerium aufzutauchen. Digitalisierung braucht endlich Rückenwind – jetzt kommt es auf kluge Umsetzung und echten Gestaltungswillen an.
👉

Excited to share that our paper got accepted at #ICML2025!! 🎉

We challenge Vision-Language Models like OpenAI’s o1 with Bongard problems, classic visual reasoning challenges and uncover surprising shortcomings.

Check out the paper: arxiv.org/abs/2410.19546
& read more below 👇

Consider following the authors Indraneil Paul (@ineil77.bsky.social), Haoyi Yang, Goran Glavaš, Kristian Kersting (@kerstingaiml.bsky.social) & Iryna Gurevych (@igurevych.bsky.social) if you are interested in more information or an exchange of ideas. (7/7)

See you this week in Singapore! #ICLR2025

I'm excited to present our spotlight on meta-causal models at #ICLR2025 next week.

We model evolving causal graphs in dynamic systems. Applications to inference and attribution of agent actions. Paper: openreview.net/forum?id=J9V...

Visit our poster #441 during the Sat 3pm session.

ObscuraCoder: Powering Efficient Code LM Pre-Training Via... Language models (LMs) have become a staple of the code-writing toolbox. Their pre-training recipe has, however, remained stagnant over recent years, barring the occasional changes in data sourcing...

»ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding« by Indraneil Paul (@ineil77.bsky.social), Haoyi Yang, Goran Glavaš, Kristian Kersting (@kerstingaiml.bsky.social) & Iryna Gurevych (@igurevych.bsky.social)

📄https://openreview.net/forum?id=VYvxrD7aS0 (3/🧵)

Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data Causality in time series can be difficult to determine, especially in the presence of non-linear dependencies. The concept of Granger causality helps analyze potential relationships between variables,...

xLSTM for time series with Granger causality: arxiv.org/abs/2502.09981

xLSTM again shows superb performance at time series analysis.

"Our experimental evaluations on three datasets demonstrate the overall efficacy of our proposed GC-xLSTM model."

FSTA_2025 Are you a student passionate about innovation, technology, and building connections? This is your chance to attend leading events connecting female researchers in computer science and engineering—we…

🚨 Are you a student passionate about innovation, technology, and building connections? This is your chance to attend leading events connecting female researchers in computer science and engineering 🧳

Künstliche Intelligenz: „Wir müssen uns beim Thema KI keine Sorgen machen“ Der Präsident der Fraunhofer-Gesellschaft, Holger Hanselka, sieht in dem Thema KI große Chancen für die deutsche Wirtschaft. Mit der richtigen Spezialisierung.

Doch, wir müssen uns Sorgen machen – aber können handeln 💪 DeepSeek-äquivalente Modelle sind nur mit Investitionen in Teams, Infrastruktur & Daten möglich. Ich freue mich daher über den Austausch mit dem tollen Fraunhofer-Teams der bereits startet 🚀

🚀 Exakt, wir sind bereit, die nächste Stufe im KI-Ausbau zu zünden! TU Darmstadt, hessian.AI & viele weitere Standorte in 🇩🇪 treiben Forschung & Anwendung voran. Zusammen, auch mit der Industrie, kann viel passieren.

ChatGPT-Entwickler: Open AI eröffnet erstes Büro in Deutschland via @faznet

🍰Super proud of our newest work:
“The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation” - arxiv.org/abs/2502.03038

🍰We extend Yann LeCun’s AI cake analogy to relate socio-technical outcomes to the AI life-cycle!

More details below ⬇️ 1/4

Kahneman und die KI: Schnelles Denken, langsames Denken via @faznet

🚀 Meet NeST, the first neuro-symbolic transpiler! It converts SPLL, a novel probabilistic language, into code across #AI ecosystems like PyTorch & Julia. Unlock advanced reasoning & learning! #NeuroSymbolic #AI #ML

🚨 Int. J. of Approx. Reasoning 👉 https://doi.org/10.1016/j.ijar.2025.109369

Deepseek rüttelt die KI-Welt auf – eine Chance gerade für Deutschland — F.A.Z. Digitalwirtschaft Haben die Chinesen in der Künstlichen Intelligenz geschafft, wovon Amerikaner und Europäer bislang nur träumen? Haben die Tüftler eines Start-ups aus Fernost die führenden Internetkonzerne des Westens...

Der Informatiker @kerstingaiml.bsky.social (TU Darmstadt / @dfki.bsky.social) ordnet im FAZ-Podcast Digitalwirtschaft #DeepSeek ein und welche Chancen sich für Europa öffnen. overcast.fm/+AANfZj8LS4w

Deepseek rüttelt die KI-Welt auf – ein Podcast mit Kristian Kersting: KI-Professor Kristian Kersting erklärt, was die Künstliche Intelligenz der Chinesen kann. Wie gut sie „nachdenkt“. Und was das nicht zuletzt für Deutschland heißt.

Die KI #Deepseek rüttelt die Tech-Welt auf – wie sie funktioniert und wieso das eine Chance gerade für Deutschland ist, diskutieren @AlaArmbruster und @CarstenKnop mit KI-Professor @kerstingAIML (@TUDarmstadt @Hessian_AI): www.faz.net/podcasts/f-a...

»ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding« by Indraneil Paul (@ineil77.bsky.social), Haoyi Yang, Goran Glavaš, Kristian Kersting (@kerstingaiml.bsky.social) & Iryna Gurevych (@igurevych.bsky.social)

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We must never forget