Emanuele Ballarin
emaballarin
PhD student in (neuro-inspired) Deep Learning. Also: robust / trustworthy / Bayesian DL, kernel methods, computational neuroscience. Overenthusiastic tinkerer.
Dept. of Maths, UniTS | @LACoNIC-UniTS ⊆ @ailab-units | @sissa-data-science | @AI-Student-Society Trieste, Italy
Donato Maragno
donato-maragno
Decision scientist | PhD in Operations Research @uva
University of Amsterdam Munich
LAION AI
LAION-AI
This is the repo of LAION, a non-profit organization to liberate machine learning research, models and datasets.
Germany
Yongjie Wang
wangyongjie-ntu
Research Fellow@NTU. PHD from NTU.
Nanyang Technological University Singapore
Evolutionary Learning & Optimization (ELO) Lab
ELO-Lab
Evolutionary Computation,
Machine Learning,
Artificial Intelligence
University of Information Technology (UIT), VNU-HCM Ho Chi Minh city, Vietnam
Nicola Pezzotti
Nicola17
Data Science Director @ Phililps Cardiologs and Assistant Professor @ TU Eindhoven. Previously @ TU Delft, INRIA and Google AI
Philips Cardiologs Eindhoven / Paris
Miles Cranmer
MilesCranmer
Assistant Professor at University of Cambridge.
Works on AI + astro/physics.
University of Cambridge Cambridge, UK
Andrew Lensen
AndLen
Senior Lecturer at Victoria University of Wellington, performing research and lecturing in Artificial Intelligence.
Victoria University of Wellington Wellington, New Zealand
Christoph Molnar
christophM
Interpretable Machine Learning researcher. Author of Interpretable Machine Learning Book: https://christophm.github.io/interpretable-ml-book/
Munich
William La Cava
lacava
Assistant Prof at Boston Children's Hospital / Harvard Medical School developing ML for applications in biomedical informatics. I run the @cavalab
@cavalab Boston, MA
Tom den Ottelander
tdenottelander
Software engineer. Hobby artist/creator. Tech enthusiast.
Cost Engineering Netherlands
Pietro Marchesi
pietromarchesi
Data analyst making sense of multi-unit electrophys data.
University of Amsterdam