@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
@mlamparth.bsky.social
Postdoc at @Stanford, @StanfordCISAC, Stanford Center for AI Safety, and the SERI program | Focusing on interpretable, safe, and ethical AI decision-making.
@ankareuel.bsky.social
Computer Science PhD Student @ Stanford | Geopolitics & Technology Fellow @ Harvard Kennedy School/Belfer | Vice Chair EU AI Code of Practice | Views are my own
@marielza.bsky.social
Retired UNESCO Dir for Digital Inclusion, Policies & Transformation. Chair, UN University, eGov Institute. UNESCO Women in STEM Committee Some pottery and cyanotyping Profile picture is of my face and torso Banner is a picture I took of a light garden
@norabelrose.bsky.social
AI, philosophy, spirituality Head of interpretability research at EleutherAI, but posts are my own views, not Eleuther’s.
@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
@claudiashi.bsky.social
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean https://www.claudiashi.com/
@ruizheli.bsky.social
Assistant Professor at University of Aberdeen | Postdoc at UCL | PhD at University of Sheffield | mechanistic interpretability & multimodal LLMs | https://www.ruizhe.space
@ndif-team.bsky.social
The National Deep Inference Fabric, an NSF-funded computational infrastructure to enable research on large-scale Artificial Intelligence. 🔗 NDIF: https://ndif.us 🧰 NNsight API: https://nnsight.net 😸 GitHub: https://github.com/ndif-team/nnsight
@csinva.bsky.social
Senior researcher at Microsoft Research. Seeking good explanations with machine learning https://csinva.io/
@notaphonologist.bsky.social
Faculty fellow (independent postdoc) in Data Science at New York University. NLP, computational linguistics, interpretability, gender. she/her. Please hire me! https://www.notaphonologist.com/
@hidenori8tanaka.bsky.social
Group Leader, CBS-NTT "Physics of Intelligence" Program at Harvard website: https://sites.google.com/view/htanaka/home
@canrager.bsky.social
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
@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
@amuuueller.bsky.social
Postdoc at Northeastern and incoming Asst. Prof. at Boston U. Working on NLP, interpretability, causality. Previously: JHU, Meta, AWS
@niklasstoehr.bsky.social
Research Scientist at Google DeepMind and PhD Student at ETH Zurich
@gsarti.com
PhD Student at @gronlp.bsky.social 🐮, core dev @inseq.org. Interpretability ∩ HCI ∩ #NLProc. gsarti.com
@nsaphra.bsky.social
Waiting on a robot body. All opinions are universal and held by both employers and family. Recruiting students to start my lab! ML/NLP/they/she.
@dashiells.bsky.social
Machine learning haruspex || Norbert Weiner is dead so we should just call it "cybernetics" now
@joestacey.bsky.social
NLP PhD student at Imperial College London and Apple AI/ML Scholar. My research is on model robustness and interpretability. #NLP #NLProc
@ddjohnson.bsky.social
PhD student at Vector Institute / University of Toronto. Building tools to study neural nets and find out what they know. He/him. www.danieldjohnson.com
@amakelov.bsky.social
Mechanistic interpretability Creator of https://github.com/amakelov/mandala prev. Harvard/MIT machine learning, theoretical computer science, competition math.
@ajyl.bsky.social
Post-doc @ Harvard. PhD UMich. Spent time at FAIR and MSR. ML/NLP/Interpretability
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@nsubramani23.bsky.social
PhD student @CMU LTI - working on model #interpretability; prev predoc @ai2; intern @MSFT nishantsubramani.github.io
@ericwtodd.bsky.social
CS PhD Student, Northeastern University - Machine Learning, Interpretability https://ericwtodd.github.io
@wendlerc.bsky.social
Postdoc at the interpretable deep learning lab at Northeastern University, deep learning, LLMs, mechanistic interpretability
@vedanglad.bsky.social
ai interpretability research and running • thinking about how models think • prev @MIT cs + physics
@jonling.bsky.social
Assistant Professor @HopkinsMedicine @JHUPath https://scholar.google.com/citations?user=dGBD72YAAAAJ
@shan23chen.bsky.social
PhDing @AIM_Harvard @MassGenBrigham｜PhD Fellow @Google | Previously @Bos_CHIP @BrandeisU More robustness and explainabilities 🧐 for Health AI. shanchen.dev
@jannikbrinkmann.bsky.social
@francescortu.bsky.social
NLP & Interpretability | PhD Student @ University of Trieste & Laboratory of Data Engineering of Area Science Park | Prev MPI-IS
@kaiserwholearns.bsky.social
Ph.D. student at @jhuclsp, human LM that hallucinates. Formerly @MetaAI, @uwnlp, and @AWS they/them🏳️🌈 #NLProc #NLP Crossposting on X.