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ELLIS PhD student in machine learning at IMPRS-IS. Continual learning at scale. sebastiandziadzio.com

Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.

Large Models, Multimodality, Continual Learning | ELLIS ML PhD with Oriol Vinyals & Zeynep Akata | Previously Google DeepMind, Meta AI, AWS, Vector, MILA 🔗 karroth.com

@ELLISforEurope PhD Student @bethgelab @caml_lab @Cambridge_Uni @uni_tue; Currently SR @GoogleAI; Previously MPhil @Cambridge_Uni, RA @RutgersU, UG @iiitdelhi vishaal27.github.io

PhD student @ Uni Tübingen | @bethgelab.bsky.social | Computational Neuroscience & ML

We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social. 📍 @ml4science.bsky.social‬, Tübingen, Germany

#AI4Science #CompNeuro #NeuroAI #SBI www.mackelab.org @mackelab.bsky.social · Prof Uni Tuebingen ML4Science BCCN tue.ai · Adjunct MPI IS · Fellow ellis.eu · currently hiring postdocs and PhD students · sometimes goes for a run

PhD student in machine learning & cognitive science in Munich & Tübingen

Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/

CEO of KI macht Schule gGmbH Previously @mackelab.bsky.social - machine learning in (neuro)science.

ELLIS PhD Student in ML at the University of Tübingen.

Postdoctoral Researcher @ Bethgelab, University of Tübingen Benchmarking | LLM Agents | Data-Centric ML | Continual Learning | Unlearning drimpossible.github.io

Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.

PhD Student in the STAI group at the University of Tübingen and IMPRS-IS | Volunteering at KI macht Schule and Viva con Agua elisanguyen.github.io prev. intern at Vector Institute, MSR DL

Junior research group leader at TUM | University of Tübingen. Currently at BAIR (Berkeley). Previously at VGG (Oxford). Interested in multi-modal learning. 🔗 https://akoepke.github.io/

Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org

PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io

Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.de)

PhD student at @unituebingen.bsky.social‬ and IMPRS-IS in "Lifelong Reinforcement Learning" group. Organizer of @ewrl18.bsky.social and @twiml.bsky.social- Tübingen Women in Machine Learning