Ziqiao Wang
Asst. Prof. at School of Computer Science and Technology, Tongji University. Interested in information theory and deep learning theory.
Homepage:https://ziqiaowanggeothe.github.io/
@yongyi-mao.bsky.social
Professor at EECS, University of Ottawa, Canada. Specialized in communication, information theory and machine learning
@maxthiessen.bsky.social
PhD student in machine learning at TU Wien. Graphs | active learning | learning theory https://maxthiessen.github.io
@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
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@angelahzyuan.bsky.social
Research Scientist at ByteDance. Ex @UCLA, @PKU AI4Science, Diffusion Models, Optimizers, RL, LLM
@adamian.bsky.social
@kwangsungjun.bsky.social
kwang-sung jun. assistant professor at the u of arizona. ml, online learning, and bandits! i am a fan of regret minimalism, both in life and research.
@pitchdropnow.bsky.social
@furongh.bsky.social
Associate professor of @umdcs @umiacs @ml_umd at UMD. Researcher in #AI/#ML, AI #Alignment, #RLHF, #Trustworthy ML, #EthicalAI, AI #Democratization, AI for ALL.
@soheil-feizi.bsky.social
Founder & CEO at RELAI (relai.ai), CS Prof at UMD, ML/AI, MIT Alum
@yasamanbb.bsky.social
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
@simonsfoundation.org
Advancing the frontiers of basic science through grantmaking, research and public engagement. Sign up for our newsletter: simonsfoundation.org/newsletter
@matpagliardini.bsky.social
PhD student in ML at EPFL 🇨🇭working with Martin Jaggi & François Fleuret. Previously Apple MLR (intern). https://mpagli.github.io/
@emalach.bsky.social
Research Fellow @ Kempner Institute, Harvard University Theory of Deep Learning / Learning of Deep Theory
@surbhigoel.bsky.social
Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
@ananyak.bsky.social
Research scientist at OpenAI working on reasoning and RL. Previously PhD student at Stanford University working with Percy Liang and Tengyu Ma.
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@alexdimakis.bsky.social
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
@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
@mahdihaghifam.bsky.social
Researcher in ML and Privacy. Distinguished Postdoc at Khoury College Northeastern. PhD @UofT & @VectorInst. previously Research Intern @Google and @ServiceNowRSRCH https://mhaghifam.github.io/mahdihaghifam/
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@yaringal.bsky.social
Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
@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 🌈
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@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.
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@ian-goodfellow.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@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
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/
@mufan-li.bsky.social
Postdoc at Princeton | Incoming Assistant Prof at Waterloo Statistics | Prev: PhD at UofT and Vector https://mufan-li.github.io/
@jnegrea.bsky.social
Assistant Prof at UWaterloo Statistics and Actuarial Science Faculty Affiliate at the Vector Institute https://www.math.uwaterloo.ca/~jnegrea/
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://www.mit.edu/~beirami/
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.