Pierre Marion
Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.
@uuujf.bsky.social
Postdoc at Simons at UC Berkeley; alumnus of Johns Hopkins & Peking University; deep learning theory. https://uuujf.github.io
@fernandoperez.org
Open source, open science, AI in science for earth/ice and healthcare. IPython creator, @projectjupyter.bsky.social and 2i2c.org co-founder. Prof @ UC Berkeley Stats, director of @ucbids.bsky.social, co-director @schmidtdse.bsky.social; LBL scientist.
@gelliottmorris.com
data-driven journalist. author of STRENGTH IN NUMBERS, the book: bit.ly/3OWqEqR and the Substack: www.gelliottmorris.com/welcome. formerly ABC News/538 & The Economist. proud custodian of a small community garden plot.
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@simzart.bsky.social
Illustrations / Character Designs / Comic Books / Partnered Twitch Streamer https://linktr.ee/simz.art
@institutmathorsay.bsky.social
Situé près de l'Yvette, ce nouveau bâtiment permet de regrouper ses activités de recherche et d'enseignement dans un lieu unique. Une communauté pour transmettre notre passion, les maths; partager nos savoirs et dépasser les frontières de nos connaissances
@quantamagazine.bsky.social
Illuminating math and science. Supported by the Simons Foundation. 2022 Pulitzer Prize in Explanatory Reporting. www.quantamagazine.org
@auschwitzmemorial.bsky.social
Former German Nazi concentration & extermination camp Auschwitz. Official account. We commemorate victims, educate about history & preserve the authentic site. www.auschwitz.org | lesson.auschwitz.org | podcast.auschwitz.org
@statfr.bsky.social
@tmlrorg.bsky.social
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@paulliautaud.bsky.social
PhD student in Statistics, Machine Learning 🧑💻 @sorbonne_univ_ @inria
@robinnoyelle.bsky.social
Post-doc @ETH, climate extremes under climate change, heatwaves and droughts, use of rare events algorithms
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@ourworldindata.org
Research and data to make progress against the world’s largest problems. Based out of Oxford University (@ox.ac.uk), founded by @maxroser.bsky.social.
@msander.bsky.social
@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.
@clement-bonet.bsky.social
Postdoctoral researcher at ENSAE interested in Optimal Transport. More information at: https://clbonet.github.io/
@alirezamh.bsky.social
PhD Student at the University of Toronto. Interested in deep learning theory. https://www.cs.toronto.edu/~mousavi/
@naturecomputes.bsky.social
Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com
@haldaume3.bsky.social
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
@sylvaincom.bsky.social
PhD • Senior ML Product Engineer @probabl.ai • Lecturer at Polytechnique and CentraleSupélec Exed 🔗 https://sylvaincom.github.io
@lorenoheer.bsky.social
Scientist: PhD in mathematics. Working in hyperbolic geometry, analysis in metric spaces and mathematical physics (gravitational waves and general relativity), broad range of other scientific interests. Here mostly to connect with researchers. he/him
@wtgowers.bsky.social
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
@teorth.bsky.social
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/
@johncarlosbaez.mathstodon.xyz.ap.brid.gy
I'm a mathematical physicist who likes explaining stuff. Sometimes I work at the Topos Institute. Check out my blog! I'm also a member of the n-Category […] [bridged from https://mathstodon.xyz/@johncarlosbaez on the fediverse by https://fed.brid.gy/ ]
@pims.math.ca
PIMS is a consortium of 10 universities promoting research in and the application of the mathematical sciences in western Canada and the Pacific Northwest.
@cirm-math.bsky.social
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
@caroladoerr.bsky.social
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)
@alfcnz.bsky.social
Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University
@fschaipp.bsky.social
Researcher in Optimization for ML at Inria Paris. Previously at TU Munich. sbatch and apero. https://fabian-sp.github.io/
@franknoe.bsky.social
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
@bengioe.bsky.social
Staff ML Scientist @valenceai.bsky.social Labs/Recursion Pharma, Mila GFlowNets, molecules & stuff https://folinoid.com
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@lucamb.bsky.social
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
@brloureiro.bsky.social
Researcher at CNRS & ENS working on the crossroads between machine learning and statistical physics.