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@christophM
Christoph Molnar christophM
Interpretable Machine Learning researcher. Author of Interpretable Machine Learning Book: https://christophm.github.io/interpretable-ml-book/

Munich

@Nixtla
Nixtla Nixtla
Open Source Time Series Ecosystem

United States of America

@danijar
Danijar Hafner danijar
Building AI that makes autonomous decisions using world models, artificial curiosity, and temporal abstraction

DeepMind San Francisco

@philipjball
Philip J. Ball philipjball
@xingchenwan
Xingchen Wan xingchenwan
Research Scientist @google

Google San Francisco Bay Area

@rockt
Tim Rocktäschel rockt
Professor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMind

Google DeepMind, University College London London

@gwgundersen
Gregory Gundersen gwgundersen

Princeton University New York City

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford

@loeweX
Sindy Löwe loeweX

CuspAI

@marcberbari
marcberbari
@olive004
Olivia Gallup olive004
DPhil in Harrison Steel Lab - synthetic biology. https://steel.ac/

University of Oxford

@PietroVitiello
Pietro Vitiello PietroVitiello
Robotics Engineer. PhD, Imperial College London
@laporastrelli
laporastrelli
@linnanwang
linnan wang linnanwang
菜

Brown University

@arahosu
Joonsu Gha arahosu
PhD student in Comp. Neuro and ML @ ETH Zürich

ETH Zürich Zürich, Switzerland

@jparkerholder
Jack Parker-Holder jparkerholder
Research Scientist at DeepMind