@cassidylaidlaw.bsky.social
PhD student at UC Berkeley studying RL and AI safety. https://cassidylaidlaw.com
@yihe-deng.bsky.social
CS PhD candidate @UCLA | Prev. Research Intern @MSFTResearch, Applied Scientist Intern @AWS | LLM post-training, multi-modal learning https://yihedeng9.github.io
@hyperpotatoneo.bsky.social
PhD student at Mila | Diffusion models and reinforcement learning 🧐 | hyperpotatoneo.github.io
@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
@yutaizh.bsky.social
CS PhD student at @uscviterbi.bsky.social. Interested in (inverse) RL, imitation learning, jax, and bayesian methods.
@alizeepace.bsky.social
Gemini Post-Training @ Google DeepMind Previously: ETH Zurich, Cambridge, CERN alizeepace.com
@karimabdel.bsky.social
Intern at CHAI, UC Berkeley | Ex-Research intern at the Krueger AI Safety Lab, University of Cambridge Interested in RL, AI Safety, Cooperative AI, TCS https://karim-abdel.github.io
@notmahi.bsky.social
Building generally intelligent robots that *just work* everywhere, out of the box, at NYU CILVR. Previously at MIT and visiting researcher at Meta AI. https://mahis.life/
@rushivarora.bsky.social
ML Research Scientist at Dell AI by day, RL Researcher at night https://rushivarora.github.io
@yangivyxq.bsky.social
Incoming Assist. Prof of Economics&Finance at SIUE. Macro-finance, causal AI (reinforcement learning). Topics in wealth inequality and entrepreneurship. https://xueqingyang.com
@jramirezruiz.bsky.social
Papá, postdoc in the Ebitz lab in Montreal | comp cog neuro & RL | intrinsically motivated about behavior, coffee, ecologies and agency 🇲🇽🇪🇸🇨🇦 UNAM, UdeS, UPF. How come life? jorgeerrz.github.io
@alexandrelarouche.bsky.social
Ph.D. candidate, Generative Flow Networks / Gaining insights in Deep Leaning
@reggiemclean.bsky.social
PhD Candidate at Toronto Metropolitan University. Reinforcement learning 🍒, machine learning. He/him. reggiemclean.ca
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@dlcountdown.bsky.social
Bot. I daily tweet progress towards machine learning and computer vision conference deadlines. Maintained by @chriswolfvision.bsky.social
@stanislavfort.bsky.social
AI + security | Stanford PhD in AI & Cambridge physics | techno-optimism + alignment + progress + growth | 🇺🇸🇨🇿
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@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
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@yuzhaouoe.bsky.social
https://yuzhaouoe.github.io/ | PhD Student @ University of Edinburgh | Opening the Black Box for Efficient Training/Inference
@soniajoseph.bsky.social
AI researcher at Mila, visiting researcher at Meta Also on X: @soniajoseph_
@yungsung.bsky.social
PhD student #MIT_CSAIL | Intern #MetaAI #Microsoft #MITIBMLab | BS #NTU in #Taiwan
@sarahooker.bsky.social
I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.
@busycalibrating.bsky.social
PhD in ML @Mila/UdeM LLM robustness, safety, interpretability
@sscardapane.bsky.social
I fall in love with a new #machinelearning topic every month 🙄 Ass. Prof. Sapienza (Rome) | Author: Alice in a differentiable wonderland (https://www.sscardapane.it/alice-book/)
@eberleoliver.bsky.social
Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪 Prev at IPAM | UCLA | BCCN Interpretability | XAI | NLP & Humanities | ML for Science
@kirillbykov.bsky.social
PhD student in Interpretable ML @UMI_Lab_AI, @bifoldberlin, @TUBerlin
@nfel.bsky.social
Post-doctoral Researcher at BIFOLD / TU Berlin interested in interpretability and analysis of language models. Guest researcher at DFKI Berlin. https://nfelnlp.github.io/
@zeynepakata.bsky.social
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
@zhuzining.bsky.social
Asst Prof @ Stevens. Working on NLP, Explainable, Safe and Trustworthy AI. https://ziningzhu.github.io
@qiaw99.bsky.social
First-year PhD student at XplaiNLP group @TU Berlin: interpretability & explainability Website: https://qiaw99.github.io
@elenal3ai.bsky.social
PhD @UChicagoCS / BE in CS @Umich / ✨AI/NLP transparency and interpretability/📷🎨photography painting
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@kbeckh.bsky.social
Data Scientist at Fraunhofer IAIS PhD Student at University of Bonn Lamarr Institute XAI, NLP, Human-centered AI
@lorenzlinhardt.bsky.social
PhD Student at the TU Berlin ML group + BIFOLD Model robustness/correction 🤖🔧 Understanding representation spaces 🌌✨
@ribana.bsky.social
Professor of Data Science for Crop Systems at Forschungszentrum Jülich and University of Bonn Working on Explainable ML🔍, Data-centric ML🐿️, Sustainable Agriculture🌾, Earth Observation Data Analysis🌍, and more...
@harrycheon.bsky.social
"Seung Hyun" | MS CS & BS Applied Math @UCSD 🌊 | LPCUWC 18' 🇭🇰 | Interpretability, Explainability, AI Alignment, Safety & Regulation | 🇰🇷
@sbordt.bsky.social
Understanding LLMs. Interpretable Machine Learning. Postdoc @ Uni Tuebingen. https://sbordt.github.io/
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
@danielsc4.it
🦖 PhD student, Interpretability & NLP @unimib 🇮🇹 & @gronlp.bsky.social 🇳🇱 danielsc4.it