@aaclmeeting.bsky.social
The Asia-Pacific Chapter of the Association for Computational Linguistics The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2025) https://www.afnlp.org/conferences/ijcnlp2025 #AACL2025 #NLProc #NLP
@albertvilella.bsky.social
Bioinformatics Scientist / Next Generation Sequencing, Single Cell and Spatial Biology, Next Generation Proteomics, Liquid Biopsy, SynBio, Compute Acceleration in biotech // http://albertvilella.substack.com
@jandubinski.bsky.social
PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR
@iamjbd.bsky.social
🤗 ML at Hugging Face 🌲 Academic Staff at Stanford University (AIMI Center) 🦴 Radiology AI is my stuff
@gergely.pragmaticengineer.com
Writing The Pragmatic Engineer (@pragmaticengineer.com), the #1 technology newsletter on Substack. Author of The Software Engineer's Guidebook (engguidebook.com). Formerly at Uber, Skype, Skyscanner. More at pragmaticengineer.com
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@mrdrozdov.com
Research Scientist @ Mosaic x Databricks. Adaptive Methods for Retrieval, Generation, NLP, AI, LLMs https://mrdrozdov.github.io/
@stochasticdoggo.bsky.social
AI researcher | PhD from NYU Data Science | Bulgarian yogurt, prime numbers, and dogs bring me joy | she/her | https://kevtimova.github.io/
@minsuk.bsky.social
Research Scientist @ Google Deepmind. Opinions are my own. minsukchang.com
@mohitbansal.bsky.social
Parker Distinguished Professor, @UNC. Program Chair #EMNLP2024. Director http://MURGeLab.cs.unc.edu (@uncnlp). @Berkeley_AI @TTIC_Connect @IITKanpur #NLP #CV #AI #ML https://www.cs.unc.edu/~mbansal/
@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.
@joanbruna.bsky.social
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
@caglarai.bsky.social
AI Researcher Prof @ EPFL, Lead @ CLAIRE lab, ELLIS Scholar Ex: Staff Research Scientist @ Deepmind, MSR, IBM Research
@soumithchintala.bsky.social
Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source. http://soumith.ch
@lchoshen.bsky.social
🥇 #NLProc researcher 🥈 Opinionatedly Summarizing #ML & #NLP papers 🥉 Good science #scientivism
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@wildlewis.bsky.social
Affiliate Professor, University of Washington NLP, MT, under-resourced languages, Language Technology for Crisis Preparedness and Response
@raulrod.bsky.social
Data science, text & data mining, machine learning, information science at Roche Pharmaceuticals research & development. Posts are mine.
@akariasai.bsky.social
Ph.D. student at University of Washington CSE. NLP. IBM Ph.D. fellow (2022-2023). Meta student researcher (2023-) . ☕️ 🐕 🏃♀️🧗♀️🍳
@nicholaslourie.bsky.social
Better empirical methods for deep learning & NLP. PhD at NYU. Advised by He He and @kyunghyuncho.bsky.social. Prev: @ai2.bsky.social. I build things. 🤖
@smerity.bsky.social
Always pondering startups, ML, Rust, Python, and 3D printing. Independent ML researcher consulting on LMs + data. Previously: Salesforce Research, MetaMind, CommonCrawl, Harvard. 🇦🇺 in SF. He/him. Personal blog: https://state.smerity.com
@zehavoc.bsky.social
Associate professor in NLP, engaged citizen. Tweeting about work, life and stuffs that I care about. All my tweets can be used freely. @[email protected] @zehavoc (@twitter)
@tkipf.bsky.social
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@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
@lizbwood.bsky.social
Founder & CEO @jura.bsky.social | Full-stack probabilistic machine learning for the development of genetic medicines | NYC & Basel & Boston
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@nouhadziri.bsky.social
Research Scientist at Ai2, PhD in NLP 🤖 UofA. Ex GoogleDeepMind, MSFTResearch, MilaQuebec https://nouhadziri.github.io/
@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/.
@amyxlu.bsky.social
CS PhD Student at UC Berkeley & AI for drug discovery at Prescient Design 🇨🇦
@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).
@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
@seungheon-doh.bsky.social
research on llm + music (https://seungheondoh.github.io/). PhD Candidate @ Music and Audio Computing Lab, KAIST. Previously an intern @Adobe, @BytedanceTalk, @Naver, @Chartmetric.
@anupamg.bsky.social
Professor, Computer Science, New York University. Interested in Algorithms.
@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/
@diyiyang.bsky.social
Assistant Professor @Stanford CS @StanfordNLP @StanfordAILab Computational Social Science & NLP
@sarahwiegreffe.bsky.social
Research in NLP (mostly LM interpretability & explainability). Incoming assistant prof at UMD CS + CLIP. Current postdoc @ai2.bsky.social & @uwnlp.bsky.social Views my own. sarahwie.github.io
@841io.bsky.social
Associate Professor, CMU. Researcher, Google. Evaluation and design of information retrieval and recommendation systems, including their societal impacts.
@jeffclune.com
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
@jeffreybigham.com
Professor of HCII and LTI at Carnegie Mellon School of Computer Science. jeffreybigham.com
@neuroai.bsky.social
Principal Researcher @ Microsoft Research. Cognitive computational neuroscience & AI. Writer. Nature wanderer. www.momen-nejad.org
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@lampinen.bsky.social
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine. lampinen.github.io
@neurograce.bsky.social
Assistant Professor, Psychology & Data Science @ NYU | Working on brains & climate (separately) | Author of "Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain" http://tinyurl.com/h9dn4bw7
@sueyeonchung.bsky.social
Assistant Professor of Neural Science at NYU & the Flatiron Institute. Computational Neuroscience, Neural Networks, Neural Manifolds, Physics of Learning, & NeuroAI. https://sites.google.com/site/sueyeonchung/