Werner Zellinger

LIT AI Lab Group Lead at Johannes Kepler Universität Linz

Linz-Wels-Steyr Area Austria
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Summary

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Senior
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Top School
Werner Zellinger is a research-led AI group head with 10 years of experience advancing the safety, robustness and certification of machine learning systems. As LIT AI Lab Group Lead at Johannes Kepler Universität Linz he leads funded projects, supervises PhD/MSc students and bridges academic research with industry deployments. His background spans postdoctoral work in applied math, doctoral research in deep learning and industrial R&D, giving him a rare mix of theoretical foundations (functional analysis, learning theory) and practical engineering (C++, Python, representation learning). Colleagues know him for turning rigorous statistical theory into verifiable ML workflows and for growing research teams that deliver both publications and industrial impact.
code10 years of coding experience
job12 years of employment as a software developer
bookDr.techn., Technical Sciences, Dr.techn., Technical Sciences at Johannes Kepler Universität Linz
bookBSc, Technical Mathematics, BSc, Technical Mathematics at Technische Universität Graz
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Github Skills (25)

representation-learning10
pytorch10
python10
data-science10
meta-learning10
machine-learning10
image-translation10
theory10
multi-task-learning10
style-transfer10
semi-supervised-learning10
unsupervised-learning10
deep-learning10
adversarial-learning10
self-supervised-learning10

Programming languages (1)

Python

Github contributions (5)

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wzell/cmd

Oct 2016 - Jan 2019

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
Contributions:27 commits, 6 PRs, 26 pushes in 2 years 3 months
kerasrepresentation-learningneural-networksdomain-adaptationtransfer-learning
wzell/mann

Nov 2017 - Mar 2021

Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
Contributions:28 commits, 27 pushes, 1 branch in 3 years 4 months
kerasneural-networkdomain-adaptationtransfer-learningmoment-alignment
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