Jan Peters
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of
@tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
@shagoon.bsky.social
Research Scientist at Google DeepMind. Addressing multi-agent interactions, reasoning and evaluation with reinforcement learning, search/planning, decentralized markets, and game theory.
@michaelhbowling.bsky.social
Professor of Computing Science at the University of Alberta. Interested in AI, reinforcement learning, and games of all sorts.
@karltuyls.bsky.social
Research Scientist, Entrepreneur - Ex: Team Lead @ DeepMind and @GoogleDeepMind. Also CS professor (Liverpool/Leuven) and LFC fan.
@csprofkgd.bsky.social
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2025 Publicity Chair on X 📍Toronto 🇨🇦 🔗 csprofkgd.github.io 🗓️ Joined Nov 2024
@awehwe.bsky.social
ML + Physics + Health at . Exploring the interaction between scientific and ML models.
@lebellig.bsky.social
Ph.D. student at CNAM on domain adaptation, generative models, and self-supervised learning for remote sensing and Earth observation 🛰🌎 Previously intern @SonyCSL, @Ircam, @Inria Personal website: https://lebellig.github.io/
@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
@mgorinova.bsky.social
ex-@TwitterCortex @Birdwatch 💙 | Now LLMs for innovation & IP 🚀 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, lover of well-placed puns https://mgorinova.github.io/
@mgollub.bsky.social
🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.
@leanderk.bsky.social
ML PhD student @ Uni Edinburgh Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
@loreloc.bsky.social
#probabilistic-ml #circuits #tensor-networks PhD student @ University of Edinburgh https://loreloc.github.io/
@andreasgrv.bsky.social
Postdoc in ML/NLP at the University of Edinburgh. Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs. https://grv.unargmaxable.ai/
@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/
@kareemyousrii.bsky.social
Postdoc @ University of California, Irvine | PhD from CS@UCLA Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models kareemahmed.com
@wordscompute.bsky.social
nlp/ml phding @ usc, interpretability & reasoning & pretraining & emergence 한american, she, iglee.me, likes ??= bookmarks
@aagrande.bsky.social
Staff Scientist at Memorial Sloan Kettering | Postdoc at Columbia I am interested in probabilistic machine learning, with a focus on generative modeling for single-cell data.
@sulinliu.bsky.social
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
@sigmabayesian.bsky.social
Visiting Researcher @NYU Courant, CILVR. PhD student @TU Denmark, MLLS(https://mlls.dk). Probabilistic ML/DL. Nth order Markovian. Support Manifolds and latents. Previously intern @SonyAI in deep generative modelling. web: http://uppalanshuk.github.io
@gandry.bsky.social
PhD student @UniversiteLiege with @glouppe.bsky.social. @frsFNRS research fellow. Focuses on AI for scientific discoveries 🤖
@nishantharun.bsky.social
PhD candidate @CarnegieMellon / ex @MartinosCenter interested in bridging the gap between machine learning academia and clinical practice; uncertainty quantification / explainable AI
@rarefin.bsky.social
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works https://rarefin.github.io
@eweinstein.bsky.social
Postdoc at Columbia with Dave Blei // Jura Bio // machine learning, statistics, biophysics, genomics On the 2024-2025 academic job market. https://eweinstein.github.io/
@minarezaei.bsky.social
Machine Learning Researcher, @LMU Munich, MCML Interested in probabilistic deep learning, generative models, and trustworthy ML. minare.github.io
@sebastiendestercke.bsky.social
CS researcher in uncertainty reasoning (whenever it appears: risk analysis, AI, philosophy, ...), mostly mixing sets and probabilities. Posts mostly on this topic (french and english), and a bit about others. Personal account and opinions.
@starrtrooper.bsky.social
@sunwoopkim.bsky.social
Theoretical physicist. Currently a PhD candidate at King's College London. Same handle on 🐦 and 🐘. Personal website: https://sunwoo-kim.github.io
@nirliptapande.bsky.social
Researcher at NUS Singapore || Bayesian Statistics and Causal Inference I paint sometimes :) nirliptapande.github.io
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@dmimno.bsky.social
He teaches information science at Cornell. http://mimno.infosci.cornell.edu
@sashamtl.bsky.social
Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@vveitch.bsky.social
machine learning and artificial intelligence | University of Chicago / Google
@andrejristeski.bsky.social
Machine learning researcher. Professor in ML department at CMU.
@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
@malmaud.bsky.social
@mufan-li.bsky.social
Postdoc at Princeton | Incoming Assistant Prof at Waterloo Statistics | Prev: PhD at UofT and Vector https://mufan-li.github.io/
@jennwv.bsky.social
Sr. Principal Researcher at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // More at http://jennwv.com
@pranav.bsky.social
Research Scientist at Google DeepMind. ಕನ್ನಡಿಗ. Past: Researchoor, Algorithms team at OpenAI & with Juergen Schmidhuber.
@rowan.bsky.social
ai research @ thinking machines . realtime video+voice. i like trains and bikes. sometimes I climb rocks and throw pottery.
@girving.bsky.social
Chief Scientist at the UK AI Security Institute (AISI). Previously DeepMind, OpenAI, Google Brain, etc.
@yonashav.bsky.social
policy for v smart things @openai. Past: PhD @HarvardSEAS/@SchmidtFutures/@MIT_CSAIL. Posts my own; on my head be it
@rosiecampbell.xyz
Forever expanding my nerd/bimbo Pareto frontier. Ex-OpenAI, AGI safety and governance, fellow @rootsofprogress.