@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@ssokoloski.bsky.social
Neuronal modelling group leader at Hertie AI (hertie.ai). Using deep learning, reinforcement learning, and probabilistic models to understand sensory processing in the ecological niche.
@auschulz.bsky.social
PhD student @mackelab.bsky.social - machine learning in (neuro)science. Co-CEO of KI macht Schule gGmbH
@mackelab.bsky.social
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
@jakhmack.bsky.social
#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
@lhoefling.bsky.social
computational neuroscientist by training, philosopher at heart studying visual perception across scales, hierarchies, and systems postdoc @uni tübingen
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@michael-j-black.bsky.social
Director, Max Planck Institute for Intelligent Systems; Chief Scientist Meshcapade; Speaker, Cyber Valley. Building 3D humans. https://ps.is.mpg.de/person/black https://meshcapade.com/ https://scholar.google.com/citations?user=6NjbexEAAAAJ&hl=en&oi=ao
@unituebingen.bsky.social
Offizieller Account der Universität Tübingen. Impressum: https://uni-tuebingen.de/impressum/ Datenschutz: https://uni-tuebingen.de/impressum/bluesky-hinweise/
@maxplanckcampus.bsky.social
This is the Tübingen research campus of the Max Planck Society in Germany. We do basic research in fields of biology, neuroscience, and AI. For Institute specific updates follow: @mpicybernetics.bsky.social @mpi-bio-fml.bsky.social
@mpi-bio-fml.bsky.social
A joint channel for the Max Planck Institute for Biology Tübingen & Friedrich Miescher Laboratory. We study aspects of microbial, algal, fungi, plant & animal biology. www.bio.mpg.de/ www.fml.tuebingen.mpg.de/ Imprint: https://www.bio.mpg.de/3047/imprint
@cgtyyldz.bsky.social
day-time ML researcher 💻, night-time confused thinker 🤔, sharp 3-point shooter 🏀. postdoc @ tübingen 🇩🇪, was phd @ aalto 🇫🇮 and msc @ bogazici 🇹🇷. istanbul lover.
@sbordt.bsky.social
Understanding LLMs. Interpretable Machine Learning. Postdoc @ Uni Tuebingen. https://sbordt.github.io/
@rdgao.bsky.social
computational neuroscience, machine learning, occasionally cognitive science | inverting brain circuits towards translational neuroscience. 🌊 www.rdgao.com
@coallaoh.bsky.social
Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
@elifakata.bsky.social
PhD student in machine learning & cognitive science in Munich & Tübingen
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@hertie-ai.bsky.social
We improve early diagnosis of diseases of the nervous system and their prevention with the help of artificial intelligence. https://hertie.ai/ @University Tuebingen
@cbareither.bsky.social
Professor for Cultural and Digital Anthropology at University of Tübingen
@fbaumdicker.bsky.social
Mathematical and Computational Population Genetics Microbial Evolution | Machine Learning in PopGen | CRISPR-Cas | Pangenomes | HGT 🦠 ➔ 🧬 ➔ 💻 ➔ 🤔
@kgenin.bsky.social
Philosopher of science. Leader of research group "epistemology and ethics of machine learning" at uni tübingen.
@charleskimpolo.bsky.social
A passionate scientist, technologist and change agent with decades of industry experience in data analysis, business intelligence, and project management.
@mcknaus.bsky.social
Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning. Teaching material: https://github.com/MCKnaus/causalML-teaching Homepage: mcknaus.github.io
@elinguyen.bsky.social
PhD Student in the STAI group at the University of Tübingen and IMPRS-IS | Volunteering at KI macht Schule and Viva con Agua | Currrently visiting Vector Institute elisanguyen.github.io
@arminkekic.bsky.social
PhD Student Machine Learning & Causality with Bernhard Schölkopf at Max Planck Institute for Intelligent Systems // Prev.: Applied Science at Zalando, MSc Maths at Oxford, BSc Physics at Heidelberg arminkekic.com
@sonja-utz.de
media psychologist | prof at @IWMTue | interests: knowledge-related (effects of) social media use, ambient awareness, human-machine communication, algorithm acceptance
@thomaswolfers.bsky.social
Group Leader @ University of Tübingen Laboratory for Mental Health Mapping https://mhm-lab.GitHub.io Brain/Mental Health & Machine Learning
@thecharleywu.bsky.social
PI of the Human and Machine Cognition lab at the University of Tübingen, studying the gap between Human and Machine Learning | hmc-lab.com
@dralinawernick.bsky.social
Research Group Lead: Law, AI and Society CZS Institute for AI and Law Cluster of Excellence for Machine Learning in Science The University of Tübingen In-betweening: law, technology, society, convergence, dumplings, perfumes, Finland, Tübingen, Bavaria
@tobiaskaufmann.bsky.social
Professor of Neurotechnology and Computational Psychiatry, University of Tübingen, Germany & Senior Researcher, University of Oslo, Norway https://www.kaufmannlab.org/
@tobiasuhauser.bsky.social
Head of Developmental Computational Psychiatry lab, University of Tuebingen & University College London
@vishaalurao.bsky.social
@ELLISforEurope PhD Student @bethgelab @caml_lab @Cambridge_Uni @uni_tue; Currently SR @GoogleAI; Previously MPhil @Cambridge_Uni, RA @RutgersU, UG @iiitdelhi vishaal27.github.io
@bayesiankitten.bsky.social
Postdoctoral Researcher @ Bethgelab, University of Tübingen Benchmarking | LLM Agents | Data-Centric ML | Continual Learning | Unlearning drimpossible.github.io
@askoepke.bsky.social
Junior research group leader at TUM | University of Tübingen. Previously at VGG (Oxford), BAIR (Berkeley). Interested in multi-modal learning. 🔗 https://akoepke.github.io/
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@shyamgopal.bsky.social
PhD at Tübingen. Working on post-training diffusion and multimodal models. Previous research interns at Snapchat and Naver Labs. https://sgk98.github.io/
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com
@kerstinrau.bsky.social
PhD Student in @uni_tue at @ml4science and Tübingen AI Center, member of @KImachtSchule
@nathaeldacosta.bsky.social
IMPRS-IS PhD student @ Tübingen. Applied Mathematics & Probabilistic ML
@timwei.land
PhD student @ ELLIS, IMPRS-IS. Working on physics-informed ML and probabilistic numerics at Philipp Hennig's group in Tübingen. https://timwei.land
@ahochlehnert.bsky.social
PhD student in ML at Tübingen AI Center & International Max-Planck Research School for Intelligent Systems
@bmucsanyi.bsky.social
ELLIS & IMPRS-IS PhD Student at the University of Tübingen. Excited about uncertainty quantification, weight spaces, and deep learning theory.
@joannasliwa.bsky.social
ELLIS & IMPRS-IS PhD student at University of Tübingen Working on Bayesian Deep Learning in Philipp Hennig's group Website: https://joannasliwa.github.io