@pierrenyquist.bsky.social
Assoc. prof. in mathematics at Chalmers/University of Gothenburg. Mainly probability, analysis and computational methods, but I like to visit most areas of mathematics. Elected member Young Academy of Sweden. Mostly here for the science, some for the jokes
@petar-v.bsky.social
Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦
@proceduralia.bsky.social
PhD student at Mila and Visiting Researcher at Meta, working on the science of AI agents. Made in Sicily.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@joeldavidhamkins.bsky.social
Mathematics and Philosophy of the Infinite Professor of Logic, University of Notre Dame University of Oxford #InfinitelyMore #BookOfInfinity #PanoramaOfLogic #PhilMaths
@stevenstrogatz.com
Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com
@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/ ]
@skiandsolve.bsky.social
⛷️ 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
@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/
@pierremarion.bsky.social
Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.
@huckbennett.bsky.social
Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music. https://home.cs.colorado.edu/~hbennett/
@mathurinmassias.bsky.social
Tenured Researcher @INRIA, Ockham team. Teacher @Polytechnique and @ENSdeLyon Machine Learning, Python and Optimization
@praveshkkothari.bsky.social
Assistant Professor @PrincetonCS Research: Theoretical Computer Science, Optimization, Algorithmic Statistics.
@gdalle.bsky.social
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
@rl-theory.bsky.social
Virtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC. > https://sites.google.com/corp/view/rltheoryseminars
@tomssilver.bsky.social
Incoming assistant professor, @Princeton (Fall 2025). Postdoc @Cornell. PhD @MIT, BA @Harvard. Robot planning and learning. https://tomsilver.github.io/
@jmendezm.bsky.social
Embodied lifelong learning (compositionality, RL, TAMP, robotics). Assistant Professor at Stony Brook ECE. Postdoc at MIT CSAIL, PhD from GRASP lab at Penn. https://jorge-a-mendez.github.io
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@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
@anupamg.bsky.social
Professor, Computer Science, New York University. Interested in Algorithms.
@allenanie.bsky.social
Stanford CS PhD working on RL and LLMs with Emma Brunskill and Chris Piech. Co-creator of Trace. Prev @GoogleDeepMind @MicrosoftResearch Specifically - Offline RL - In-context RL - Causality https://anie.me/about Unverified hot takes go to this account
@amsks96.bsky.social
PhD Student working on Generlization and State abstractions in #RL, #MetaLearning, and #AutoRL amsks.github.io
@ahana.bsky.social
Reinforcement Learning PhD student, UPF Barcelona. Uncertain in the face of optimism. ahanadeb.github.io
@freegaussians.bsky.social
TCS/Math postdoc interested in spin-glasses, random matrices, optimization and free probability. I like chess, badminton, photography, Indian & western classical music. I live for Korean and home-made Indian food. Website: https://juspreetsandhu.me
@mufan-li.bsky.social
Postdoc at Princeton | Incoming Assistant Prof at Waterloo Statistics | Prev: PhD at UofT and Vector https://mufan-li.github.io/
@glenberseth.bsky.social
Assistant Prof at @UMontreal @mila-quebec.bsky.social @MontrealRobots . CIFAR AI Chair, RL_Conference chair. Creating generalist problem-solving agents for the real world. He/him/il.
@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
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@vmoens.bsky.social
Research Engineer - PyTorch core - Meta@London - Open-source/open science advocate Maintainer of torchrl / tensordict / leanrl Former MD - Neuroscience PhD https://github.com/vmoens
@gabrielpeyre.bsky.social
@dabelcs.bsky.social
Researcher @ Google DeepMind and Honorary Fellow @ U of Edinburgh. RL, philosophy, foundations, AI. https://david-abel.github.io
@andrejristeski.bsky.social
Machine learning researcher. Professor in ML department at CMU.
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@sologen.bsky.social
Research Goal: Understanding the computational and statistical principles required to design AI/RL agents. Associate Professor at Polytechnique Montréal and Mila. 🇨🇦 academic.sologen.net
@djfoster.bsky.social
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
@rasmuspagh.net
Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net
@mmbronstein.bsky.social
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, 🐎 🎶
@kasperglarsen.bsky.social
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
@jasonhartline.bsky.social
Professor at Northwestern CS. Economics, by courtesy. Study mechanism design, economics of algorithms, regulation of algorithms, AI and society. https://sites.northwestern.edu/hartline/
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@michaelnielsen.bsky.social
Searching for the numinous Australian Canadian, currently living in the US https://michaelnotebook.com