@sbordt.bsky.social
Understanding LLMs. Interpretable Machine Learning. Postdoc @ Uni Tuebingen. https://sbordt.github.io/
@maxilse.bsky.social
Working at microsoft research health futures. Interested in causal representation learning and generative modelling applied to medical data.
@ahana.bsky.social
Reinforcement Learning PhD student, UPF Barcelona. Uncertain in the face of optimism. ahanadeb.github.io
@francois.fleuret.org
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org
@stanislavfort.bsky.social
AI + security | Stanford PhD in AI & Cambridge physics | techno-optimism + alignment + progress + growth | 🇺🇸🇨🇿
@milago.bsky.social
PhD student in Machine Learning @ MPI-IS Tübingen, Tübingen AI Center, IMPRS-IS
@fsschneider.bsky.social
Postdoctoral researcher at the University of Tübingen working on (benchmarking) training methods for deep learning
@mniepert.bsky.social
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
@kerstinrau.bsky.social
PhD Student in @uni_tue at @ml4science and Tübingen AI Center, member of @KImachtSchule
@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/
@dziadzio.bsky.social
ELLIS PhD student in machine learning at IMPRS-IS. Continual learning at scale. sebastiandziadzio.com
@confusezius.bsky.social
Large Models, Multimodality, Continual Learning | ELLIS ML PhD with Oriol Vinyals & Zeynep Akata | Previously Google DeepMind, Meta AI, AWS, Vector, MILA 🔗 karroth.com
@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
@fededagos.bsky.social
PhD student @ Uni Tübingen | @bethgelab.bsky.social | Computational Neuroscience & ML
@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
@elifakata.bsky.social
PhD student in machine learning & cognitive science in Munich & Tübingen
@bayesiankitten.bsky.social
Postdoctoral Researcher @ Bethgelab, University of Tübingen Benchmarking | LLM Agents | Data-Centric ML | Continual Learning | Unlearning drimpossible.github.io
@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.
@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
@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/
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@philipp.hertie.ai
Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.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
@michelapetriconi.bsky.social
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
@maksym-andr.bsky.social
Working on AI safety, robustness, and generalization (Square Attack, RobustBench, AgentHarm, etc). PhD from EPFL supported by Google & OpenPhil PhD fellowships. On the faculty job market for 2024-2025. More details: https://www.andriushchenko.me/
@stefanabaumann.bsky.social
PhD Student at @compvis.bsky.social & @ellis.eu working on generative computer vision. Interested in extracting world understanding from models and more controlled generation. 🌐 https://stefan-baumann.eu/
@guillermoim.bsky.social
Machine Learning Scientist @ lastminute.com https://guillermoim.github.io/
@onnoeberhard.com
PhD Student in Tübingen (MPI-IS & Uni Tü), interested in reinforcement learning. Ex research intern at Google Research. https://onnoeberhard.com/
@blackhc.bsky.social
My opinions only here. 👨🔬 RS DeepMind Past: 👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y 🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM 👤 @nwspk
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com
@zeynepakata.bsky.social
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
@dlcountdown.bsky.social
Bot. I daily tweet progress towards machine learning and computer vision conference deadlines. Maintained by @chriswolfvision.bsky.social
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@paulbuerkner.com
Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@nolovedeeplearning.bsky.social
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him 👉 https://april-tools.github.io
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@upicchini.bsky.social
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io