@charles-riou.bsky.social
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 student in CS/ML (University of Tokyo) Eng. Diploma from École Polytechnique (France)
@keenancrane.bsky.social
Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. https://www.cs.cmu.edu/~kmcrane/
@djsutherland.ml
machine learning asst prof at @cs.ubc.ca and amii statistical testing, kernels, learning theory, graphs, active learning… she/her, 🏳️⚧️, @queerinai.com
@paysmaths.bsky.social
Une citation mathématique chaque jour & quelques actualités mathématiques. A mathematical quote every day & some mathematical news. Site : https://paysmaths.net #mathématiques #mathematics #maths #math
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@jelv.is
I like programming languages. A lot. Especially Haskell. Tools, types and functions.
@dasharez0ne.bsky.social
GET MY T-SHIRTS HOODYS MUGS AT https://dashare.zone - DAILY EXTRAS BY EMAIL AT https://patreon.com/dasharez0ne WHERE U WILL ALSO FIND "DA SHARE Z1NE", STICKERS AND MORE SHYT -DASHARE.ZONE ADMIN
@daneelssoul.bsky.social
@shivamnadimpalli.bsky.social
CS Theory postdoc at MIT (https://math.mit.edu/~shivamn)
@lestermackey.bsky.social
Machine learning researcher at Microsoft Research. Adjunct professor at Stanford.
@tdietterich.bsky.social
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
@someshjha.bsky.social
I am a professor in the computer sciences at UW-Madison. My technical interests in trustworthy ML, formal methods, and security. My other interests are Indian classical music, mindfulness, tennis, and pickleball.
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@toposinstitute.bsky.social
US/UK-based non-profit research institute. We shape technology for public benefit by advancing sciences of connection and integration. Our goal is a world where the systems that surround us benefit us all. https://topos.institute
@hardmaru.bsky.social
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social https://sakana.ai/careers
@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
@conitzer.bsky.social
AI professor. Director, Foundations of Cooperative AI Lab at Carnegie Mellon. Head of Technical AI Engagement, Institute for Ethics in AI (Oxford). Author, "Moral AI - And How We Get There." https://www.cs.cmu.edu/~conitzer/
@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)
@cjdamato.bsky.social
Associate Professor at Northeastern University and father of 3. Interests include artificial intelligence, reinforcement learning, and robotics (he/him).
@sg66.bsky.social
Reader in ML/Statistics at the Department of Mathematics, University of York, UK
@jakeruo.bsky.social
CS PhD student at Harvard. Interested in theoretical cs and combinatorics.
@booleananalysis.bsky.social
@timroughgarden.bsky.social
Columbia CS professor. Head of Research at a16z crypto. Research on algorithms, game theory, mechanism design, blockchains/web3. Author of Algorithms Illuminated, Twenty Lectures on Algorithmic Game Theory, and Beyond the Worst-Case Analysis of Algorithms.
@divyarthi.bsky.social
Postdoctoral Fellow @BU_CDS. Previously postdoc @TelAvivUni and PhD @Princeton. https://www.divyarthimohan.com
@aifi.bsky.social
Machine Learning | Stein Fellow @ Stanford Stats (current) | Assistant Prof @ CMU (incoming) | PhD @ MIT (prev) https://andrewilyas.com
@phillipisola.bsky.social
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/
@robinkothari.bsky.social
Theoretical computer scientist working on quantum algorithms and complexity at Google Quantum AI. Previously at Microsoft Quantum, MIT, U. Waterloo, and IIT Bombay.
@minsuk.bsky.social
Research Scientist @ Google Deepmind. Opinions are my own. minsukchang.com
@guyvdb.bsky.social
🎓 CS Prof at UCLA 🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI https://web.cs.ucla.edu/~guyvdb/
@michaelhbowling.bsky.social
Professor of Computing Science at the University of Alberta. Interested in AI, reinforcement learning, and games of all sorts.
@arthurgretton.bsky.social
@brosa.ca
Ph.D. Student studying AI & decision making at Mila / McGill University. Currently at FAIR @ Meta. Previously Google DeepMind & Google Brain. https://brosa.ca
@vveitch.bsky.social
machine learning and artificial intelligence | University of Chicago / Google
@jeremykun.com
Portland-based mathematician and software engineer. Building a homomorphic encryption compiler at Google. https://jeremykun.com https://pimbook.org https://pmfpbook.org https://buttondown.email/j2kun https://heir.dev
@cvoelcker.bsky.social
Reinforcement Learning @ UofT/Vector Institute, political agitation @ Queer in AI If I seem very angry, check if I have been watered in the last 24 hours. For professional, see https://cvoelcker.de
@viditnanda.bsky.social
Professor of Mathematics at Oxford and Fellow of Pembroke College: people.maths.ox.ac.uk/nanda
@viktorblasjo.bsky.social
History of mathematics. Utrecht University: https://www.uu.nl/staff/VNEBlasjo Podcast: https://intellectualmathematics.com/opinionated-history-of-mathematics/
@harwiltz.bsky.social
PhD student at Mila / McGill. Studying distributional RL for transfer across risk-sensitive utilities, and for long-horizon high-frequency decision-making.