Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Professor at the University of Copenhagen. Explainable AI, Natural Language Processing, ML. Head of copenlu.bsky.social lab.
#NLProc #NLP #XAI
http://isabelleaugenstein.github.io/
Junior research group leader at TUM | University of Tübingen. Currently at BAIR (Berkeley). Previously at VGG (Oxford). Interested in multi-modal learning.
🔗 https://akoepke.github.io/
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
Large Models, Multimodality, Continual Learning | ELLIS ML PhD with Oriol Vinyals & Zeynep Akata | Previously Google DeepMind, Meta AI, AWS, Vector, MILA
🔗 karroth.com
The MCML is a joint research initiative of LMU München and TU München. It is institutionally funded by the Federal Ministry of Education and Research and the Free State of Bavaria.
Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social
PhD candidate in Trustworthy and Responsible NLP @ Technical University of Munich (TUM)
🛠️ Actionable Interpretability🔎 @icmlconf.bsky.social 2025 | Bridging the gap between insights and actions ✨ https://actionable-interpretability.github.io
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
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
Group Leader, CBS-NTT "Physics of Intelligence" Program at Harvard
website: https://sites.google.com/view/htanaka/home
Assistant professor of Linguistics and Data Science at Boston University. NLP, computational linguistics, interpretability, social bias and fairness. she/her. https://www.notaphonologist.com/
Seeking superhuman explanations.
Senior researcher at Microsoft Research, PhD from UC Berkeley, https://csinva.io/
XAI PhD Student & Entrepreneur
Assistant Professor at University of Aberdeen | Postdoc at UCL | PhD at University of Sheffield | mechanistic interpretability & multimodal LLMs | https://www.ruizhe.space
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean
https://www.claudiashi.com/
Chair of AI in Healthcare and Medicine, led by @danielrueckert.bsky.social, at TU Munich.
🌐 www.kiinformatik.mri.tum.de/en/chair-artificial-intelligence-healthcare-and-medicine
Postdoc | #NLProc researcher | @slds-lmu.bsky.social | @munichcenterml.bsky.social | @berd-nfdi.bsky.social
