Nico Krämer
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making.
https://pnkraemer.github.io/
@lumi-supercomputer.eu
EuroHPC flagship supercomputer at CSC's data center in collaboration with the LUMI consortium 🇫🇮 🇧🇪 🇨🇭 🇨🇿 🇩🇰 🇪🇪 🇮🇸 🇳🇱 🇳🇴 🇵🇱 🇸🇪. #lumisupercomputer www.lumi-supercomputer.eu
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@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).
@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/
@mustas.bsky.social
Ph.D. @ DTU Compute (Cognitive Systems) Personal website: https://syrota.me/ Github: https://github.com/mustass
@pbrunzema.bsky.social
PhD student on learning-based control; interested in everything around Bayesian optimization and robotics
@mjordahn.bsky.social
Probabilistic Machine Learning and Bayesian Deep Learning for Uncertainty Quantification and Bayesian Optimisation
@renberlinghieri.bsky.social
PhD student, MIT EECS. Interested in statistical inference, machine learning, optimal transport.
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@miguelgondu.bsky.social
Mathematician interested in optimization, probabilistic modelling, and differential geometry. miguelgondu.com/about
@rdmichael.bsky.social
PhD student at University of Copenhagen, @DIKU, @KU_BioML group, DDSA fellow.
@federicobergamin.bsky.social
Postdoc in machine learning at the Technical University of Denmark (DTU). PhD from DTU. Spent time at Cambridge CBL, DTU, UBC, and University of Padova. https://federicobergamin.github.io/
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@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
@ropeharz.bsky.social
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
@jrichterpowell.bsky.social
Current: @NVIDIA / PhD student @MIT [on hiatus]. Former UofT/Vector/MILA/McGill. Opinions my own. 🏳️⚧️ 🏳️🌈
@fsschneider.bsky.social
Postdoctoral researcher at the University of Tübingen working on (benchmarking) training methods for deep learning
@niklasschmitz.bsky.social
PhD student at EPFL, Math for materials modelling. Prev CS at TU Berlin. github.com/niklasschmitz
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@bartzbeielstein.bsky.social
AI, Math, Stats, ML, Hyperparameter Tuning. Director Inst. Data Science, Engineering, and Analytics ORCID: 0000-0002-5938-5158
@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.
@jejjohnson.bsky.social
Expat: 🇺🇸—>🇦🇪🇫🇷🇪🇸 Data Engineer @ UNEP-IMEO-MARS Data-Driven Geoscience: - Data Engineering - Machine Learning - MLOPs I truly believe that software will save science!
@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
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@henrygo.uk
Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh 🏴. Working on Verifiable AI. henrygouk.com
@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
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@deshwalaryan.bsky.social
Bayesian Optimization and Gaussian Processes University of Minnesota Web: https://aryandeshwal.github.io/
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@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
@nathanaelbosch.de
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
@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
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
@dirque.bsky.social
Doing mathematics, also as a job. Now at Uni Bremen, was at TU Braunschweig. Only here for the math. Optimization, inverse problems, imaging, learning - stuff like that.
@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
@swetakar.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev
@mlcolab.org
We accelerate research in the sciences and humanities with machine learning; part of the @ml4science.bsky.social cluster at @unituebingen.bsky.social Web: mlcolab.org Member profiles: @sethaxen.com @vstaros.bsky.social
@sigmabayesian.bsky.social
Visiting Researcher @NYU Courant, CILVR. PhD student @TU Denmark, MLLS(https://mlls.dk). Probabilistic ML/DL. Nth order Markovian. Support Manifolds and latents. Previously intern @SonyAI in deep generative modelling. web: http://uppalanshuk.github.io
@mskan.bsky.social
Associate Professor at DTU | optimization enthusiast | CVXOPT maintainer
@latzplacian.bsky.social
Intrigued by inverse problems & uncertainties. Lecturer in Applied Mathematics at the University of Manchester (views are my own; he/him) | web: www.latzplacian.org