Alberto Bietti
Research Scientist at Flatiron Institute CCM. Prev Meta AI, NYU, Inria, Quora.
http://alberto.bietti.me
@bsimsek.bsky.social
Deep Learning x {Symmetries, Structures, Randomness} 🦄 Researcher at Flatiron Computational Maths in NYC. PhD from EPFL. https://www.bsimsek.com/
@krotov.bsky.social
I am a physicist working on neural networks (both artificial and biological). Find me on https://research.ibm.com/people/dmitry-krotov
@anirvansengupta.bsky.social
Professor of Physics and Astronomy, Rutgers | Senior Research Scientist, Flatiron Institute | Interested in AI, Neuroscience, Quantum Physics
@jeremymagland.bsky.social
Data Scientist creating web applications for neurophysiology visualization and analysis. #OpenScience
@yoavgo.bsky.social
@uuujf.bsky.social
Postdoc at Simons at UC Berkeley; alumnus of Johns Hopkins & Peking University; deep learning theory. https://uuujf.github.io
@megan-richards-nyc.bsky.social
CS PhD Student at NYU, previously @MetaAI. Trying to make ML more reliable, predictable, and representative.
@tcsplus.bsky.social
TCS+ is the original online seminar in theoretical computer science, committed to the carbon-free dissemination of ideas across the globe since 2013. Talks from the cutting edge of research in TCS, for a wide audience: https://www.tcsplus.org
@dandiyatin.bsky.social
PhD student (EPFL, Switzerland), working on the theory of deep learning and statistical physics of computation. https://yatindandi.github.io/
@soledadvillar.bsky.social
Applied math/ML Assistant professor at Johns Hopkins from Uruguay
@gokul.dev
PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
@lampinen.bsky.social
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine. lampinen.github.io
@froystig.bsky.social
research scientist at google deepmind. co-author of JAX (https://github.com/jax-ml/jax) https://cs.stanford.edu/~rfrostig
@shubhendu.bsky.social
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare. https://shubhendu-trivedi.org
@ccanonne.github.io
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@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, ...
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@eleurent.bsky.social
Research scientist at Google Deepmind generative modeling, rl, birds, poetry, games, robots 📍London 🔗 edouardleurent.com
@nmboffi.bsky.social
Building generative models for high-dimensional science and engineering. Assistant prof. @CarnegieMellon & affiliated faculty @mldcmu, previously instructor @NYU_Courant, PhD jointly @Harvard and @MIT https://nmboffi.github.io
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@wtgowers.bsky.social
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
@gregegansf.bsky.social
SF writer / computer programmer Latest novel: MORPHOTROPHIC Latest collection: SLEEP AND THE SOUL Web site: http://gregegan.net Also: @[email protected]
@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/ ]
@gautamreddy.bsky.social
Assistant Professor, Department of Physics, Princeton University
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@samuelvaiter.com
CNRS Researcher in maths & computer science. My (current) focus is machine learning and optimization. I live & work in Nice 🇫🇷 website: https://samuelvaiter.com
@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.
@nsaphra.bsky.social
Waiting on a robot body. All opinions are universal and held by both employers and family. Recruiting students to start my lab! ML/NLP/they/she.
@mmondelli.bsky.social
Professor at IST Austria | Machine learning, information theory | Prev: Stanford, EPFL | opinions my own
@jmairal.bsky.social
Researcher in machine learning, optimization, computer vision, image and signal processing
@docmilanfar.bsky.social
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org
@mdudik.bsky.social
Sr Principal Research Manager, Microsoft Research NYC. Machine Learning, AI Fairness.
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@krizna.bsky.social
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis #machinelearning #deeplearning #probability #statistics #optimization #sampling
@shakirm.bsky.social
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
@fschaipp.bsky.social
Researcher in Optimization for ML at Inria Paris. Previously at TU Munich. sbatch and apero. https://fabian-sp.github.io/
@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/
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@roydanroy.bsky.social
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.
@patrickkidger.bsky.social
I do SciML + open source! 🧪 ML+proteins @ http://Cradle.bio 📚 Neural ODEs: http://arxiv.org/abs/2202.02435 🤖 JAX ecosystem: http://github.com/patrick-kidger 🧑💻 Prev. Google, Oxford 📍 Zürich, Switzerland
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.