Tim van Erven @timvanerven.nl Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI.
www.timvanerven.nl
Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
Eric Todd @ericwtodd.bsky.social CS PhD Student, Northeastern University - Machine Learning, Interpretability https://ericwtodd.github.io
transition metal noble gas @aurxenon.io @aurxenon on Twitter
Occasionally good posts - he/him
CS PhD student at Johns Hopkins :)
Opinions are always my own
Blog is https://aurxenon.io
Dan Butler @danieljbutler.bsky.social interests: software, neuroscience, causality, philosophy | ex: salk institute, u of washington, MIT | djbutler.github.io
Julian Minder @jkminder.bsky.social PhD at EPFL with Robert West, Master at ETHZ
Mainly interested in Language Model Interpretability and Model Diffing.
MATS 7.0 Winter 2025 Scholar w/ Neel Nanda
jkminder.ch
Florian Eichin @florian-eichin.com PhD candidate at LMU Munich. Representations, model and data attribution, training dynamics.
Strong opinions on coffee and tea ☕
https://florian-eichin.com
Tiago Pimentel @tpimentel.bsky.social Postdoc at ETH. Formerly, PhD student at the University of Cambridge :)