@paulbuerkner.com
Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
@ducha-aiki.bsky.social
Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working. http://dmytro.ai
@gklambauer.bsky.social
Deep Learning researcher | professor for Artificial Intelligence in Life Sciences | inventor of self-normalizing neural networks | ELLIS program Director
@dpkingma.bsky.social
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
@hardmaru.bsky.social
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social https://sakana.ai/careers
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@stephanhoyer.com
Building AI climate models at Google. I also contribute to the scientific Python ecosystem, including Xarray, NumPy and JAX. Opinions are my own, not my employer's.
@lisaalaz.bsky.social
#ML & #NLP PhD student at Imperial College London. Prev. research intern @ Cohere and Google Research. Reasoning and planning with foundation models 🧠 She/her
@jeanremiking.bsky.social
Researcher in Neuroscience & AI CNRS, Ecole Normale Supérieure, PSL currently detached to Meta
@gabrielmb.com
ML Engineer @hf.co 🤗 Building tools for you to take care of your datasets like Argilla or distilabel!
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@noamrazin.bsky.social
Postdoctoral Fellow at Princeton Language and Intelligence | Past: Computer Science PhD at Tel Aviv University & Apple Scholar in AI/ML | Interested in the foundations of deep learning https://noamrazin.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/
@vdean.bsky.social
Asst. Prof. @ Olin College of Engineering | CMU, MIT alum | reinforcement learning, AI ethics, equity and justice, baking | ADHD 💖💜💙
@vikramsaraph.com
Software engineer and AI/ML researcher at Johns Hopkins APL. Former New Englander, current Marylander. Brown CS PhD alum. Nerd of sorts (computers, math, language, puzzles, games, books). Opinions are my own.
@sarahooker.bsky.social
I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.
@shaynelongpre.bsky.social
PhD @ MIT. Prev: Google Deepmind, Apple, Stanford. 🇨🇦 Interests: AI/ML/NLP, Data-centric AI, transparency & societal impact
@aidanclark.bsky.social
I train models @ OpenAI. Previously Research at DeepMind. Hae sententiae verbaque mihi soli sunt.
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
@jacksonkernion.bsky.social
Now: LLM finetuning, human feedback at Anthropic. Before: MIT postdoc, UC Berkeley philosophy PhD. Built http://deductivelogic.org
@girving.bsky.social
Chief Scientist at the UK AI Security Institute (AISI). Previously DeepMind, OpenAI, Google Brain, etc.
@pranav.bsky.social
Research Scientist at Google DeepMind. ಕನ್ನಡಿಗ. Past: Researchoor, Algorithms team at OpenAI & with Juergen Schmidhuber.
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@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
@yus167.bsky.social
PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io
@mihainica.bsky.social
Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@bipr.bsky.social
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@antoine-mln.bsky.social
doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/
@rachel-law.bsky.social
Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@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/.
@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@jrudoler.bsky.social
wharton stats phd — ml theory, ml for science prev: comp neuro, data, physics working with Edgar Dobriban and Konrad Körding also some sports (esp. philly! go birds)
@marcelhussing.bsky.social
PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
@seanmcarroll.bsky.social
#Physics, #philosophy, #complexity. Johns Hopkins & @sfiscience.bsky.social. Host, #MindscapePodcast. Married to @jenlucpiquant.bsky.social. Latest: Quanta & Fields, book 2 of The Biggest Ideas in the Universe. https://preposterousuniverse.com/ He/him.
@neurobongo.bsky.social
VP, AI Models @IBMResearch, IBM Director, @MITIBMLab. Former prof and serial/parallel entrepreneur.
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.