Following

@rochussen.bsky.social

Louis Sharrock @louissharrock.bsky.social Lecturer (Assistant Prof) in Statistical Science at UCL. Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational stats, probabilistic ML, optimisation. Website: https://louissharrock.github.io/
Sam Power @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
Rickmer Schulte @rickmer.bsky.social PhD Student @ LMU Munich Munich Center for Machine Learning (MCML)
David Rügamer @davidruegamer.bsky.social Associate Prof @ LMU Munich PI @ Munich Center for Machine Learning Ellis Member Associate Fellow @ relAI ----- https://davidruegamer.github.io/ | https://www.muniq.ai/ ----- BNNs, UQ in DL, DL Theory (Overparam, Optim), Sparsity, TabFMs
Arik Reuter @arikreuter.bsky.social University of Cambridge and Max Planck Institute for Intelligent Systems I'm interested in amortized inference/PFNs/in-context learning for challenging probabilistic and causal problems. https://arikreuter.github.io/
Symposium on Probabilistic Machine Learning @probml.bsky.social Symposium on Probabilistic Machine Learning (ProbML), formerly known as Symposium on Advances in Approximate Bayesian Inference (AABI). 🔗 https://probml.cc
Luigi Acerbi @lacerbi.bsky.social Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki - Finnish Centre for AI - ELLIS Institute Finland | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Pierre Alquier @pierrealquier.bsky.social Professor of Statistics @ ESSEC Business School, APAC campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Université Paris Cité 🇫🇷 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
Cheng Soon Ong @ml4x.bsky.social Curious. Researching #MachineLearning for Scientific Discovery. #ml4science #ai4science I choose #OpenSource and #OpenScience . Solving problems in #LifeScience #Genomics #RadioAstronomy Read Mathematics for Machine Learning at https://mml-book.com
Richi Paul @erpel.bsky.social phd student working on bayesian methods in bioimage analysis; @fz-juelich.de, @hds_lee & @lmu.de; bsc+msc in comp sci @univie.ac.at; based in karlsruhe; ripaul.github.io
Department of Engineering, University of Cambridge @eng.cam.ac.uk Department of Engineering at the University of Cambridge. Addressing the world's most pressing challenges with science and technology. Visit us at www.eng.cam.ac.uk
Emile Mathieu @mathieuemile.bsky.social Machine Learning researcher at @Xaira_Thera (former @CambridgeEllis and @OxCSML) opinions expressed are my own.
Alex Immer @aleximmer.bsky.social Research Scientist @Bioptimus. Previously at ETH Zürich, Max Planck Institute for Intelligent Systems, Google Research, EPFL, and RIKEN AIP. aleximmer.github.io
Kevin Murphy @sirbayes.bsky.social Probabilistic ML researcher at Google Deepmind
Sebastian Ober @sebastianober.bsky.social Senior ML Scientist I at BigHat Biosciences. Previously: AstraZeneca, Secondmind, PhD student & Gates Cambridge Scholar at CBL in Cambridge. Views are my own.
Cambridge Machine Learning Group @cambridgemlg.bsky.social We’re so back.
AMLab @amlab.bsky.social The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
Helmholtz AI @helmholtzai.bsky.social 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝘆𝗼𝘂𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵. Research-driven hub for applied #AI & #ML - democratising AI across the Helmholtz Association. www.helmholtz.ai
Ian Goodfellow @ian-goodfellow.bsky.social Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Wessel @wessel.ai With Cambridge MLG • 📚 Formerly MSFT Research Ams, ATI • GitHub: wesselb
Blei Lab @bleilab.bsky.social Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
Jakub M. Tomczak @jmtomczak.bsky.social Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Desi R Ivanova @desirivanova.bsky.social Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR Former quant 📈 (@GoldmanSachs), former former gymnast 🤸‍♀️ My opinions are my own 🇧🇬-🇬🇧 sh/ssh
Ferenc Huszár @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
Martin Trapp @trappmartin.eurosky.social Assistant Prof in Prob ML @ KTH 🇸🇪 WASP Fellow & ELLIS Member Ex: Aalto Uni 🇫🇮, TU Graz 🇦🇹, originally 🇩🇪. — https://trappmartin.github.io/ — Reliable ML | UQ | Bayesian DL | tractability & PCs
NeurIPS Conference @neuripsconf.bsky.social San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Taco Cohen @taco-cohen.bsky.social Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Theo Brown @theo-brown.bsky.social PhD student UCL / UKAEA | Probabilistic ML | Safe control | Nuclear fusion
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor https://cims.nyu.edu/~andrewgw
Marc Deisenroth @deisenroth.bsky.social Machine learning, environmental modeling, sustainability, robotics Research Director @ Google DeepMind, Professor @ UCL He/him
Lena Zellinger @lenazellinger.bsky.social ELLIS PhD student at the University of Edinburgh working on guarantees for approximate inference
Christian A. Naesseth @canaesseth.bsky.social Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
Matthew Ashman @mashtro.bsky.social PhD student in the Machine Learning Group, Cambridge.
Michael Bronstein @mmbronstein.bsky.social DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @ProximaBio ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Andreas Kirsch @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
karpathy @karpathy.bsky.social AI @ OpenAI, Tesla, Stanford
François-Xavier Briol @fxbriol.bsky.social Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Tycho van der Ouderaa @tychovdo.bsky.social Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@wellingmax.bsky.social @wellingmax.bsky.social
Philipp Hennig @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.
James Hensman @jameshensman.bsky.social Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
Alexander Terenin @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=EGKYdiwAAAAJ&sortby=pubdate
James Allingham @jamesallingham.bsky.social Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
Jascha Sohl-Dickstein @jascha.sohldickstein.com Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@yeewhye.bsky.social @yeewhye.bsky.social
Mark van der Wilk @mvdw.bsky.social Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
Yarin @yaringal.bsky.social Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
ICLR Conference @iclr-conf.bsky.social International Conference on Learning Representations https://iclr.cc/
Tim G. J. Rudner @timrudner.bsky.social Assistant Professor, University of Toronto. Junior Research Fellow, Trinity College, Cambridge. AI Fellow, Georgetown University. Probabilistic Machine Learning, AI Safety & AI Governance. Prev: Oxford, Yale, UC Berkeley, NYU. https://timrudner.com
ELLIS @ellis.eu Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
Vincent Fortuin @vincefort.eurosky.social Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
Bruno Mlodozeniec @brunokm.bsky.social PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.
Yoav Gelberg @gelberg.bsky.social Phd Student @universityofoxford.bsky.social working with Yarin Gal, Michael Bronstein and Haggai Maron
J Jiri Hron @jirihron.bsky.social Research Scientist at DeepMind