Maxime Méloux
PhD student @LIG | Causal abstraction, interpretability & LLMs
@xai-research.bsky.social
Explainable/Interpretable AI researchers and enthusiasts - DM to join the XAI Slack! Blue Sky and Slack maintained by Nick Kroeger
@butanium.bsky.social
Master student at ENS Paris-Saclay / aspiring AI safety researcher / improviser Prev research intern @ EPFL w/ wendlerc.bsky.social and Robert West MATS Winter 7.0 Scholar w/ neelnanda.bsky.social https://butanium.github.io
@katharinaprasse.bsky.social
PhD in Computer Vision Supervised and Inspired by Prof. Dr.-Ing Margret Keuper Member of the Data & Web Science Group @ University of Mannheim.
@juliagrabinski.bsky.social
PhD Student in Computer Vision 💫 seeking Postdoc Opportunities 💫
@sukrutrao.bsky.social
PhD Student at the Max Planck Institute for Informatics @cvml.mpi-inf.mpg.de @maxplanck.de | Explainable AI, Computer Vision, Neuroexplicit Models Web: sukrutrao.github.io
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@neuralnoise.com
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
@gattanasio.cc
Postdoc at @sardine-lab-it.bsky.social working on fair and safe language technologies. | gattanasio.cc | he/him | http://questovirgolettatoesiste.com
@yuzhaouoe.bsky.social
https://yuzhaouoe.github.io/ | PhD Student @ University of Edinburgh | Opening the Black Box for Efficient Training/Inference
@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.
@moritzwillig.bsky.social
PhD student at AIML Lab, TU Darmstadt, Germany. Connecting AI & Causality. | Website: https://moritz-willig.de/
@maryamshanechi.bsky.social
Sawchuk Chair & Prof at USC Viterbi School of Engineering | Founding Director of USC Center for Neurotech | Developing AI/ML methods & neurotech to decode the brain & treat its conditions 🧠🤖💻 https://nseip.usc.edu/
@actinterp.bsky.social
🛠️ Actionable Interpretability🔎 @icmlconf.bsky.social 2025 | Bridging the gap between insights and actions ✨ https://actionable-interpretability.github.io
@metricsemma.bsky.social
Cortical surface modelling and interpretable/explainable #AI, geometric deep learning #neuroscience. Open science: HCP, dhcp, UKBiobank
@matspike.bsky.social
> Language + CogSci + Evolution + NLP/ML/AI COMPLEXITY, FUNCTION & FORM in - language, culture, cognition - evo dynamics - info & computation - explanation homeostatic property cluster at large LangEvo is Hard Reading List https://t.ly/gfGj
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
@itsneuronal.bsky.social
Asst Prof at NYU + Flatiron Institute Computational + Statistical Neuroscience https://neurostatslab.org/
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@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
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@natalieshapira.bsky.social
Tell me about challenges, the unbelievable, the human mind and artificial intelligence, thoughts, social life, family life, science and philosophy.
@sfeucht.bsky.social
PhD student doing LLM interpretability with @davidbau.bsky.social and @byron.bsky.social. (they/them) https://sfeucht.github.io
@livgorton.bsky.social
✨ mechanistic interpretability research scientist @ Goodfire | deep learning, math, biology | creating a more beautiful future
@handle.invalid
ML and Statistics researcher. Interested in privacy, causal inference, optimal transport. Website: donlapark.pages.dev
@alxndrmlk.bsky.social
"The Causal Guy" http://causalpython.io Author || Advisor || Educator Host at http://CausalBanditsPodcast.com Causal ML Tutor @ Uni of Oxford CausalSky: https://bsky.app/profile/did:plc:imz3rf35poonl7yxt7bogui4/feed/aaamrclcu3tfa
@strubell.bsky.social
assistant professor, @ltiatcmu.bsky.social. machine learning: LLMs and climate. 🏳️🌈🏳️⚧️ they/them/dad (2 dogs). pro-AI, anti-capitalist, anti-fascist. Website: strubell.github.io
@yoavgo.bsky.social
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@noahdgoodman.bsky.social
Professor of Natural and Artificial Intelligence @Stanford. Safety and alignment @GoogleDeepMind.
@naturecomputes.bsky.social
Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@quantamagazine.bsky.social
Illuminating math and science. Supported by the Simons Foundation. 2022 Pulitzer Prize in Explanatory Reporting. www.quantamagazine.org
@apotochnik.bsky.social
Philosopher of science, Director of Center for Public Engagement with Science at University of Cincinnati. Books: Idealization and the Aims of Science, Recipes for Science, Science and the Public. https://www.angelapotochnik.com
@stellaathena.bsky.social
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
@mimansaj.bsky.social
Robustness, Data & Annotations, Evaluation & Interpretability in LLMs http://mimansajaiswal.github.io/
@variint.bsky.social
Lost in translation | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io
@mdlhx.bsky.social
NLP assistant prof at KU Leuven, PI @lagom-nlp.bsky.social. I like syntax more than most people. Also multilingual NLP, interpretability, mountains and beer. (She/her)
@jbarbosa.org
Junior PI @ INM (Paris) in computational neuroscience, interested in how computations enabling cognition are distributed across brain areas. Expect neuroscience and ML content. jbarbosa.org
@kylem.bsky.social
Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.
@bharathr98.com
Theoretical physicist at day. ML researcher at night. Currently split between CERN and UniGE. Ex - IISER-M, @caltech.edu https://scholar.google.com/citations?user=8BDAnVAAAAAJ
@jeku.bsky.social
Postdoc at Linköping University🇸🇪. Doing NLP, particularly explainability, language adaptation, modular LLMs. I‘m also into🌋🏕️🚴.