Dimitri Meunier

Ph.D. Candidate @uwstat; Research fellowship @Netflix — machine learning; semiparametrics; causal inference, reinforcement learning. https://larsvanderlaan.github.io

statistician • causal inference, machine learning, nonparametrics professor @harvardmed.bsky.social alexluedtke.com

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

M1 Intern NeuroRSE Group @flatironinstitute.org CogSci (Computational Neuroscience & AI) MSc. student @sorbonne-universite.fr & @upcite.bsky.social

Researcher in statistical physics and machine learning @UCL Gatsby | Previously @EPFL | Physics PhD @UnivParisSaclay | BCG The Future Makers | ASP XI https://antonioscl.github.io/

PhD student in Machine Learning at Gatsby U it, UCL. Causal inference, Symmetry, Probabilistic ML, Kernel methods.

PhD in neuro/ML theory @ Gatsby, UCL | Clinician | TA @ Comp Neuro Imbizo | Organiser @ Deep Learning Indaba | healthcare @ AmathamboAI | Prev. @ OIST, UCT | Exploring 🇿🇦

PhD student @SainsburyWellcomeCentre, UCL | comp systems nrosci | dopamine, learning, risky decision-making🐀🧠💻

http://yedizhang.github.io/

Faculty fellow at NYU working with @andrewgwils.bsky.social. Statistics & machine learning for proteins, RNA, DNA. Prev: @jura.bsky.social, PhD with Debora Marks Website: alannawzadamin.github.io

neuroscientist {calcium imager, principal component analyzer} @ UCL

PhD student at Sainsbury Wellcome Center & Gatsby Unit (UCL)

Linguistique, langue française, Marseille, #Motchus & jeux de mots compulsifs. (et aussi MCF en sociolinguistique à Aix-Marseille Université, 🎙️chroniqueur radio 📚éditeur & linguiste atterré.

Machine Learning Researcher at Inria

Aime partager autour de la culture mathématique, toujours ouvert pour apprendre... parfois appelé "père castor des maths" Le Grand Almanach Mathématique (Albin-Michel, 2025) contact: roger.mansuy@ac-paris.fr

Neuroscientist and University College London

Research Fellow at the Gatsby Unit, UCL Q: How do we learn?

Postdoc in the Oxford Centre for Nonlinear PDE @oxfordmathematics.bsky.social theoretical neuroscience & interacting particle systems https://sites.google.com/view/valentinschmutz

Incoming Assistant Professor in Statistical Machine Learning @ NTU Singapore 🇸🇬 Interested in Uncertainty-aware ML, Explainable ML, and preference learning. Currently Postdoc @CISPA, previously at @OXCSML, @Amazon, @MPI_IS https://chau999.github.io/

PhD student working on machine learning @ UCL. See my website :) oscarkey.github.io

PostDoc @ISTAustria 🧑🏻‍💻 | Organizer of @unireps.bsky.social | Member @ellis.eu | Prev. PhD @SapienzaRoma @ELLISforEurope | @amazon AWS AI | @autodesk AI Lab | (he/him)

TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/

Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar

Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/stat.ML/new List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g

Postdoc JKU Linz ELLIS: ML for sampling and optimization.

Mathematics & Music Composition Undergrad at Soochow Univ. in Taiwan Computational Neuroscience RA at Harvard, Oxford & NYU (three separate projects) I'm interested in imagination, mental simulation and memory retrieval! https://yangwu15.github.io/

sampling reality

Your Only Source For Professional Dog Ratings nonprofit: @15outof10.org ❤️‍🩹 links.weratedogs.com

Assistant Professor of Statistics @ ESSEC Business School

Machine Learning Professor https://cims.nyu.edu/~andrewgw

Postdoc @oxfordstatistics.bsky.social

Research Scientist at Xyme interested in Bayesian machine learning for biotechnology applications & causality. Previously a postdoc at Imperial College London.

Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.

Waiting on a robot body. All opinions are universal and held by both employers and family. ML/NLP professor. nsaphra.net

Foundation Models, Bayesian Optimization, reinforcement learning, and AutoML. Uni of Birmingham. Share latest AI news and trends.🏳️‍🌈

Statistics at LSE

Researcher @ Inria Theory of Machine Learning

https://maxhhird.github.io/

Deep Learning x {Symmetries, Structures, Randomness} 🦄 Researcher at Flatiron Computational Maths in NYC. PhD from EPFL. https://www.bsimsek.com/

Welcome to our official page. Sharing the latest news, research and highlights of life at UCL (University College London). London's Global University - ucl.ac.uk

Graduate Student - Interested in RL and its mathematics 👾 > https://amirhosein-mesbah.github.io/

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

Systems neuro PhD student at SWC/The Crick (UCL, London). Cell types and decision-making. Znamenskiy lab, Mrsic-Flogel lab

Postdoc @ProbAIHub, hosted @warwickstats @Princeton @orfe. PhD @GatsbyUCL. Works on universality and ML theory. He/him. 🌈 kevinhanhuang.page

Postdoc @harvard.edu @kempnerinstitute.bsky.social Homepage: http://satpreetsingh.github.io Twitter: https://x.com/tweetsatpreet

Researcher at Criteo. Interested in Bandits, Privacy, Competitive Analysis, Reinforcement Learning. https://hugorichard.github.io/

Math Assoc. Prof. (on leave, Aix-Marseille, France) Interest: Prob / Stat / ANT. See: https://sites.google.com/view/sebastien-darses/research?authuser=0 Teaching Project (non-profit): https://highcolle.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

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

Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com

ELLIS PhD Student at ELLIS Alicante Working on Cognitive Biases and AI

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

I share my love for machine learning on my YouTube channel ML New Papers: https://youtube.com/@mlnewpapers-xo5vm?si=3Y1SFI2yV_o8i89n Follow if you like ML! PhD in CS/ML (University of Tokyo) Eng. Diploma from École Polytechnique (France)

🏳️‍🌈👨‍👨‍👧‍👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com

Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/

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

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

PhD candidate @amlab.bsky.social @ellis.eu Probabilistic Machine Learning | Sequence Models

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

I am a PhD student at the Gatsby Computational Neuroscience Unit. I study stochastic processes and their application to modelling neuronal dynamics. https://cameronastew.art/

Co-founder and CEO, Mistral AI

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.

We study the mathematical principles of learning, perception & action in brains & machines. Funded by the Gatsby Charitable Foundation. Based at UCL. www.ucl.ac.uk/life-sciences/gatsby

⛷️ 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

PhD student at ELLIS Alicante 🇭🇺🇪🇸🇬🇧🇪🇺

Postdoctoral researcher at SIERRA (Inria Paris) in ML/Learning Theory.

Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni

Postdoc at the University of Milan, member of the LAILA Lab https://emmanuelesposito.it

machine learning asst prof at @cs.ubc.ca and amii statistical testing, kernels, learning theory, graphs, active learning… she/her, 🏳️‍⚧️, @queerinai.com

Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital

Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730

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

https://audhuang.github.io/

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

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

Associate Professor at Princeton Machine Learning Researcher

Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel http://gi.ece.ucsb.edu, Pilot

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

machine learning researcher @ Apple machine learning research

Machine learning Google DeepMind Paris

CIRM is quite a unique place. At the heart of the Parc des Calanques, it is entirely dedicated to welcome researchers from around the world who meet here. www.cirm-math.fr

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/

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

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

messing up with gaussians

Assistant Professor at École Polytechnique interested in Optimal Transport. More information at: https://clbonet.github.io/

ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. https://remi.flamary.com/

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

source: https://arxiv.org/rss/stat.ML maintainer: @tmaehara.bsky.social

Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him