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/
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
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/
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.