Nathanael Bosch
PhD student at the University of Tübingen and the Max Planck Institute for Intelligent Systems.
Working on probabilistic numerics, differential equations, filtering and smoothing, and recently automl for time series forecasting.
nathanaelbosch.github.io
@benhoeltgen.bsky.social
Machine Learning in Society | Philosophy of Science | PhD student @ Uni Tübingen | fm.ls/ben
@liacov.bsky.social
PhD student at Uni Tübingen, fm.ls group. Banner pic: rare sight of sunshine in Ammergasse, Tübingen.
@ptrvilya.bsky.social
PhD student @ Real Virtual Humans group (IMPRS-IS & @unituebingen.bsky.social), ex-Samsung AI https://virtualhumans.mpi-inf.mpg.de/people/Petrov.html
@ssarkka.bsky.social
Professor at Aalto University working on Bayesian filtering and smoothing, SDEs, etc. ELLIS Fellow, Leader of AIX with Finnish Center for AI (FCAI).
@andreasgeiger.bsky.social
Professor, University of Tübingen @unituebingen.bsky.social. Head of Department of Computer Science 🎓. Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social. ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu. CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
@dcremers.bsky.social
Professor of Computer Vision and AI at TU Munich, Director of the Munich Center for Machine Learning mcml.ai and of ELLIS Munich ellismunich.ai cvg.cit.tum.de
@matthijspals.bsky.social
Using deep learning to study neural dynamics @mackelab.bsky.social
@schmidtjonathan.bsky.social
PhD Student at the University of Tübingen Interested in ML in Science, Probabilistic Inference & Simulation
@adriencorenflos.bsky.social
Research Fellow at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/
@bifold.berlin
Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research www.bifold.berlin 📰News: www.bifold.berlin/news-events/news 🔑Data Privacy: www.bifold.berlin/data-privacy
@sbischoff.bsky.social
PhD student @mackelab.bsky.social and claassenlab in Tübingen
@anderschri.bsky.social
ELLIS PhD Student in Machine Learning at DTU Copenhagen and Helmholtz AI Munich (formerly Tübingen AI Center, Google AR). Interested in generative modeling, computer vision, and more :)
@keggensperger.bsky.social
Early Career Group Leader at @ml4science.bsky.social | University of Tübingen. Working on AutoML and Tabular Data. All opinions are my own.
@tuebingen-ai.bsky.social
The Tübingen AI Center is a joint partnership between the University of Tübingen and the Max Planck Institute for Intelligent Systems. We aim at developing robust learning systems and at ensuring the societal benefits of AI. https://tuebingen.ai/imprint
@jan-peters.bsky.social
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of @tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
@johanneszenn.bsky.social
PhD Student in Machine Learning @unituebingen.bsky.social, @ml4science.bsky.social, @tuebingen-ai.bsky.social, IMPRS-IS; currently @vectorinstitute.ai; jzenn.github.io
@yoshuabengio.bsky.social
Full professor at UdeM, Founder and Scientific Advisor at Mila - Quebec AI Institute, A.M. Turing Award Recipient. Working towards the safe development of AI for the benefit of all. Website and blog: https://yoshuabengio.org/
@ian-goodfellow.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@approxbayesseminar.bsky.social
Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
@solitarypenman.bsky.social
@jnsbck.de
Inference in biophysical neuron models. PhD student at Hertie AI / Uni Tuebingen with @celltypist.bsky.social.
@lisaschmors.bsky.social
Postdoc @hertie-ai.bsky.social | PhD @maxplanckcampus.bsky.social & unituebingen.bsky.social | Interested in Computational Neuroscience, Data Science & AI 🧠🤖 | Science Podcast https://linktr.ee/i_am_scientist 🎙️🧬
@typst.app
Compose papers faster: Focus on your text and let Typst take care of layout and formatting.
@adrhill.bsky.social
PhD student at @bifold.berlin, Machine Learning Group, TU Berlin. Automatic Differentiation, Explainable AI and #JuliaLang. Open source person: adrianhill.de/projects
@julialang.org
Julia is a high-level, dynamic programming language built for technical computing. Official Bluesky account of the Julia Language Project #JuliaLang
@shakirm.bsky.social
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
@jameshensman.bsky.social
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@sedielem.bsky.social
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
@milescranmer.bsky.social
AI + Astro/Physics. Assistant Prof at Cambridge. astroautomata.com/
@dynamicwebpaige.bsky.social
✨ Keep it simple, make it scale. AI should be about empowering users and building understanding. 👩💻 AI Developer Experience @ Google DeepMind, ex-Github, ex-Google
@typedfemale.bsky.social
@lostella.bsky.social
Applied Scientist @ AWS • IMTLucca and KULeuven alumn • #JuliaLang enthusiast • Views expressed are my own, yada yada yada GitHub: https://github.com/lostella
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@oleksandr-shchur.bsky.social
Applied Scientist at AWS working on auto.gluon.ai Machine learning, time series forecasting
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@patrickkidger.bsky.social
I do SciML + open source! 🧪 ML+proteins @ http://Cradle.bio 📚 Neural ODEs: http://arxiv.org/abs/2202.02435 🤖 JAX ecosystem: http://github.com/patrick-kidger 🧑💻 Prev. Google, Oxford 📍 Zürich, Switzerland
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=6Qa-wXMAAAAJ&sortby=pubdate