@algoperf.bsky.social
AlgoPerf benchmark for faster neural network training via better training algorithms
@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
@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
@nenadtomasev.bsky.social
Developing AI responsibly. Senior Staff Research Scientist at Google DeepMind. Opinions are my own.
@jhamrick.bsky.social
Senior staff research scientist at Google DeepMind. Opinions my own. She/her. Reasoning in LLMs 🤖 / planning 💭 / model-based RL 🌍 / cognitive science 🧠 / flowers🌷 / parenting 👶 / games 🎮 / public transit 🚆 http://www.jesshamrick.com
@douglaseck.bsky.social
Senior Research Director at Google DeepMind in our San Francisco office. I created Magenta (magenta.withgoogle.com) and sometimes find time to be a musician.
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@scychan.bsky.social
Staff Research Scientist at Google DeepMind. Artificial and biological brains 🤖 🧠
@georgeedahl.bsky.social
Machine learning researcher @Google DeepMind. My opinions do not necessarily represent my employer. Prefer email over DMs. https://scholar.google.com/citations?hl=e&user=ghbWy-0AAAAJ https://www.cs.toronto.edu/~gdahl/
@rob-cornish.bsky.social
Research fellow @ Oxford Statistics Department jrmcornish.github.io
@jan-peters.bsky.social
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of @tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
@leoeleoleo1.bsky.social
PhD student at @oxfordstatistics.bsky.social working on generative models
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
@sharky6000.bsky.social
Research Scientist at Google DeepMind, interested in multiagent reinforcement learning, game theory, games, and search/planning. Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦 For more info: https://linktr.ee/sharky6000
@sageev.bsky.social
"a symptom of an approaching nervous breakdown is the belief that one's work is terribly important"--bertrand russell ML, music, generative models, robustness, ML & health curr & prev affils: Dalhousie University (CS), Vector Institute, Google Research
@bmucsanyi.bsky.social
ELLIS & IMPRS-IS PhD Student at the University of Tübingen. Excited about uncertainty quantification, weight spaces, and deep learning theory.
@mjhutchinson141.bsky.social
@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, ...
@adamefoster.bsky.social
Sr Researcher at Microsoft Research AI for Science Former Oxford Stats PhD in Bayesian Experimental Design
@mrattray.bsky.social
Professor of Computational & Systems Biology at University of Manchester. Applies machine learning and modelling to help understand the complexity of biology. idsai.manchester.ac.uk, https://www.ellismcr.org, @official-uom.bsky.social
@eemlcommunity.bsky.social
Strengthening the Eastern European ML community and improving diversity in the field. facebook.com/EEMLcommunity
@stephanmandt.bsky.social
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
@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.
@intelligentearth.bsky.social
Oxford's UKRI AI Centre for Doctoral Training in AI for the Environment. Intelligent Earth brings together academics across Oxford to train a new generation of PhD students to tackle some of the most pressing environmental issues using AI.
@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
@klarakaleb.bsky.social
postdoc @oxfordstatistics.bsky.social working on (robust) LMs for @naturerecovery.bsky.social 🌱 prev PhD student @clopathlab.bsky.social 🧠 & AI resident @ Google X 🤖
@lukezettlemoyer.bsky.social
Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
@cedapprox.bsky.social
Director of Artificial Intelligence at https://helsing.ai. Fellow @ellis.eu. Ex Principal Applied Scientist at AWS. Living in absurdism. http://www0.cs.ucl.ac.uk/staff/c.archambeau/
@hannawallach.bsky.social
VP and Distinguished Scientist at Microsoft Research NYC. AI evaluation and measurement, responsible AI, computational social science, machine learning. She/her. One photo a day since January 2018: https://www.instagram.com/logisticaggression/
@gkdziugaite.bsky.social
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@bleilab.bsky.social
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@pierrealquier.bsky.social
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈