Paul Mangold

The hottest machine learning and AI memes from 742 Evergreen Terrace, Springfield.

PhD student at École polytechnique. Optimization, machine learning, robustness renaudgaucher.github.io

DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶

CNRS Researcher in Geometry Processing at Liris, Lyon (views are my own) https://perso.liris.cnrs.fr/julie.digne/

Associate prof, MIT EECS/CSAIL 💻🔬🦥🧀🏋️‍♀️🎼🐈🎻🏳️‍🌈 he/him/his

Machine learning in Python • Open Source https://scikit-learn.org

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.

International Conference on Learning Representations https://iclr.cc/

Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch

Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.

So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.

Mathematics professor at Collège de France and fellow of Trinity College Cambridge.

Researcher in machine learning, optimization, computer vision, image and signal processing

Postdoctoral researcher at Inria in machine learning.

Keep the gradients flowing

Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/

ELLIS PhD student @HelmholtzMunich, Student Researcher @Apple. Interested in ML, Single-Cell Genomics, and People.

Compte officiel. Université Paris Cité, Illuminons le monde de demain. #EnlightenTheFuture #IlluminonsLeMondeDeDemain ✨

Professor in applied mathematics at University of Orléans 🇫🇷 & IUF Junior 2022 on an innovation chair. Interested in image processing and deep generative models. I teach generative models for imaging at #MasterMVA.

Compte officiel de l'Université Paris-Saclay : 48 000 étudiants, 9 000 chercheurs et enseignants-chercheurs, 4 600 doctorants #Formation #Recherche

UCL Statistical Science was the first university statistics department in the world when founded in 1911. Methodological & applied statistics. Fun place to work https://www.ucl.ac.uk/statistics/

ML Research scientist. Interested in geometry, information theory and statistics. Webpage: https://a-pouplin.github.io/

PhD in Ockham Inria team @EnsDeLyon

PR[AI]RIE-PSAI (Paris School of AI) is one of the 9 French AI-Clusters financed by France 2030, and supported by PSL University. Created in 2019 by CNRS, Inria, Institut Pasteur, PSL University, Université de Paris Cité, and a club of industrial partners

European Research Council, set up by the EU, funds top researchers of any nationality, helping them pursue great ideas at the frontiers of knowledge. #HorizonEU

The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.

Association for Uncertainty in AI. Upcoming conference: #uai2026 August 17-21 in Amsterdam, Netherlands! 🇳🇱 https://auai.org/uai2026

Prof of Data Sciences at ENSAE (IPP), Paris; Bayesian computation, Sequential Monte Carlo and stuff [bridged from https://mathstodon.xyz/@nchopin on the fediverse by https://fed.brid.gy/ ]

Institut national du @cnrs.fr dédié aux #mathématiques et à leurs interactions avec les autres sciences, les entreprises et la société 🧮 #HelloESR

L'École polytechnique est une école d'ingénieur 🇫🇷 qui associe recherche, enseignement et innovation au meilleur niveau scientifique et technologique.

INSERM group leader @ Neuromodulation Institute and NeuroSpin (Paris) in computational neuroscience. How and why are computations enabling cognition distributed across the brain? Expect neuroscience and ML content. jbarbosa.org

Bot. I daily tweet progress towards machine learning and computer vision conference deadlines. Maintained by @chriswolfvision.bsky.social

Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/

Data analysis/signal & image processing #datascience #machinelearning #wavelet history of science. Terrible puns #radio #music #anagram. Opinions are nine

Love Physics, Maths, Machine learning, Computer Science but above all playing 🎸🎵 Happy dad 👧 👧. Also professor @ EPFL. Views are my own.

CNRS research director at Sorbonne University in Paris. Interested in black-box optimization (theory, benchmarking, applications, learning,...). ERC project dynaBBO on dynamic black-box optimization algorithms (consolidator grant)

Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈

Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/

Research scientist at #Inria. Audio signal processing, Acoustics, Machine Learning, Bicycle Riding, Lindy Hop Dancing.

CNRS researcher at IRIT. Computational Imaging, Microscopy, Optimization, Machine Learning Website: https://www.irit.fr/~Emmanuel.Soubies/

Co-founder @huggingface

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

Research scientist at Apple | machine learning, optimization, language modeling pierreablin.com

PhD student in Machine learning at Ecole Normale Supérieure, Paris My webpage: https://vcastin.github.io/

messing up with gaussians

Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/

🤖 Machine Learning & 🌊 Simulation | 📺 YouTuber | 🧑‍🎓 PhD student @ Thuerey Group

Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila. A.M. Turing Award Recipient and most-cited AI researcher. https://lawzero.org/en https://yoshuabengio.org/profile/

EurIPS is a community-organized, NeurIPS-endorsed conference in Copenhagen where you can present papers accepted at @neuripsconf.bsky.social eurips.cc

Professor for Machine Learning, University of Tübingen, Germany

CNRS Researcher in maths & computer science. website: https://samuelvaiter.com

Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org

CNRS researcher at ENS

full-time ML theory nerd, part-time AI-non enthusiast

Associate Professor at Princeton Machine Learning Researcher

Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.

⛷️ ML Theorist carving equations and mountain trails | 🚴‍♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva

Assistant Professor, McGill University | Associate Academic Member, Mila - Quebec AI Institute | Neuroscience and AI, learning and inference, dopamine and cognition https://massetlab.org/

Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.

Incoming Assistant Professor@Rice University | Kavli Experimental Fellow@Cornell University | PhD@EPFL

Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...

Assist. Prof. at Cornell University. I like cycling, mathematics, statistics and computer science.

Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭

Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL

Prof at EPFL AI • Climbing

Professor of applied mathematics at the University of Toulouse Website: www.iutzeler.org

Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org

Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.

I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.

Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working. http://dmytro.ai

I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.

Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com

Research & code: Research director @inria ►Data, Health, & Computer science ►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social ►Sometimes does art photography ►Physics PhD

Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be

Postdoc at Inria working on optimization and machine learning. Website: https://matdag.github.io/

Researcher in Optimization and Machine Learning. #FlyEaglesFly

Postdoctoral researcher @ EPFL. Previously PhD @ Inria. More details: https://marcjourdan.github.io/

Assistant professor @ University of Zurich https://koloskova.github.io/

Lecturer at the University of Bristol. Interested in optimization, game theory and learning theory.

Researcher in Optimization for ML at Inria Paris. Previously at TU Munich. https://fabian-sp.github.io/

https://nparikh.org

Machine learning Google DeepMind Paris

Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.

Tenured Researcher @INRIA, Ockham team. Teacher @Polytechnique and @ENSdeLyon Machine Learning, Python and Optimization

Assistant Professor @JohnsHopkinsAMS, Works in Mathematical Optimization, Mostly here to share pretty maths/3D prints, sometimes sharing my research

distributed (diloco) + modularity (dipaco) + llm @ deepmind | continual learning phd @ sorbonne

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

doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/

Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io

Professor, Stanford University, Statistics and Mathematics. Opinions are my own.

Researcher in machine learning

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

Director, Princeton Language and Intelligence. Professor of CS.

Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.

Professor at UT Nuremberg, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.