Associate Professor of Computer Engineering @ UNIFI. Deep Learning, Computer Vision, Generative Models.
@rachitdubey.bsky.social
Assistant Professor at UCLA | Alum @MIT @Princeton @UC Berkeley | AI+Cognitive Science+Climate Policy | https://ucla-cocopol.github.io/
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@paulmasset.bsky.social
Assistant Professor, McGill University | Affiliate Member, Mila - Quebec AI Institute | Neuroscience and AI, learning and inference, dopamine and cognition https://www.mcgill.ca/psychology/paul-masset
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@valentinapy.bsky.social
Postdoc in AI at the Allen Institute for AI & the University of Washington. 🌐 https://valentinapy.github.io
@daniel-fried.bsky.social
Assistant prof at LTI CMU; Research scientist at Meta AI. Working on NLP: language interfaces, applied pragmatics, language-to-code, grounding. https://dpfried.github.io/
@izzycw.bsky.social
PhD Student at UC San Diego | LLM Agents, Reinforcement Learning, Human-AI Collaboration, Multi-Agent Systems
@rupalibhati.bsky.social
PhD student at Northeastern University | MARL | Ex Mila | rupalibhati.github.io
@manfreddiaz.bsky.social
Ph.D. Candidate at Mila and the University of Montreal, interested in AI/ML connections with economics, game theory, and social choice theory. https://manfreddiaz.github.io
@dongyanl1n.bsky.social
Postdoc at Meta FAIR, Comp Neuro PhD @McGill / Mila. Looking at the representation in brains and machines 🔬 https://dongyanl1n.github.io/
@behzadan.bsky.social
Professionally curious about the science of making bad decisions; AI safety and security researcher; Assistant Professor of CS and Data Science & Director of the Secure and Assured Intelligent Learning (SAIL) lab @ University of New Haven.
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@jmac-ai.bsky.social
Ask me about Reinforcement Learning Research @ Sony AI AI should learn from its experiences, not copy your data. My website for answering RL questions: https://www.decisionsanddragons.com/ Views and posts are my own.
@reniebird.bsky.social
Incoming Prof at Brown University, PI of the GIRAFFE lab, former AI Policy Advisor in the US Senate. PhD at MIT CSAIL '23, Harvard '16, former Google APM. Dog mom to NSDTR Ducki.
@mattieml.bsky.social
Reinforcement Learning Postdoc at FLAIR, University of Oxford @universityofoxford.bsky.social All opinions are my own.
@acl21.bsky.social
PhD Student at the Robot Learning Lab, University of Freiburg. Reinforcement Learning, World Models and Robot Manipulation.
@jhamrick.bsky.social
Senior staff research scientist at Google DeepMind. She/her. Opinions my own. Reposts are not endorsements. Reasoning in LLMs 🤖 / planning 💭 / model-based RL 🌍 / flowers🌷 / parenting 👶 / games 🎮 / public transit 🚆 http://www.jesshamrick.com
@neurokim.bsky.social
Neuro + AI Research Scientist at DeepMind; Affiliate Professor at Columbia Center for Theoretical Neuroscience. Likes studying learning+memory, hippocampi, and other things brains have and do, too. she/her.
@romapatel.bsky.social
research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her) https://roma-patel.github.io
@moyix.net
AI researcher at XBOW, Associate Professor @ NYU Tandon (on leave). Security, RE, ML. PGP http://keybase.io/moyix/ Founder of the MESS Lab: http://messlab.moyix.net
@sedielem.bsky.social
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
@rockt.ai
Director and Open-Endedness Team Lead Google DeepMind (GDM). Professor of Artificial Intelligence, University College London (UCL), and PI of @ucldark.com. Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS).
@catalinacangea.bsky.social
ex-GenMusic co-lead @ DeepMind 👩🏻💻 🎸🎹, prog/metal/alt/classic rock, jazz, poetry, 🚣🏻♀️🚴🏻♀️🧘🏻♀️, traveling, festivals. Sometimes ❤️s AI/ML/data 📊 Attends too many concerts 🎫 King's/Darwin/Murray Edwards College, University of Cambridge 🎓
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@vdean.bsky.social
Asst. Prof. @ Olin College of Engineering | CMU, MIT alum | reinforcement learning, AI ethics, equity and justice, baking | ADHD 💖💜💙
@jzleibo.bsky.social
I can be described as a multi-agent artificial general intelligence. OK, so some people pointed out that I am not in fact artificial, contradicting my bio. To them I would reply that I am likely also a cognitive gadget. www.jzleibo.com
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@harshitsikchi.bsky.social
I study Reinforcement Learning. PhD from UT Austin. Previously FAIR Paris, Meta US, NVIDIA, CMU, and IIT Kharagpur. Website: https://hari-sikchi.github.io/
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@lucidrains.bsky.social
Boston transplant now living in San Francisco with a border collie / lab mix
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@stephmilani.bsky.social
PhD Student in Machine Learning at CMU. 🐦 twitter.com/steph_milani 🌐 stephmilani.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/
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@bramgrooten.bsky.social
PhD student at the TU Eindhoven. Researching deep learning, RL, sparse neural networks, robotics.
@noreward4u.bsky.social
Reward-Free Model-based Maximalist. High-dimensional Empowerment. Self-Preserving Autonomous Agents. Theories of intelligence grounded in compositional control.
@tomdupuis.bsky.social
PhD student @ENSTAParis🇫🇷, TD Learning and deep RLing, representation matters MVA/CentraleSupélec alumni
@raymondrchua.bsky.social
NeuroAI PhD Candidate at McGill / Mila. Loves: 🧠 🏕️ 🏔️ 🏊🏻♂️ 🚴🏻♂️ 🏃🏻♂️ 🎨📚☕ https://raymondchua.github.io
@danielrjiang.bsky.social
Research Scientist Meta, Adjunct Professor at University of Pittsburgh. Interested in reinforcement learning, approximate DP, adaptive experimentation, Bayesian optimization, & operations research. http://danielrjiang.github.io 📍Chicago, IL
@natashajaques.bsky.social
Assistant Professor at UW and Senior Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
@mandanas.bsky.social
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup. Doing research on AI and Neuroscience 🤖🧠 Based in Montreal. 🇨🇦