max

Hi, I am Max!

I am a PhD candidate at Fraunhofer IAIS where I try to teach neural networks to know what they don't know. Previously, I gradudated with a masters degree in Computer Science (Intelligence Engineering) from Hamburg University of Technology.

Research Papers

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Decoupling Autoencoders for Robust One-vs-Rest Classification

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

IEEE 8th International Conference on Data Science and Adavanced Analytics, 2021

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Toxicity Detection in Online Comments with Limited Data: A comparative Analysis

Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

European Symposium on Artificial Neural Networks, 2021

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Utilizing Representation Learning for Robust Text Classification Under Datasetshift

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage, Rafet Sifa

LWDA „Lernen, Wissen, Daten, Analysen“, 2021

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Supervised Autoencoder Variants for End to End Anomaly Detection

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

ICPR International Workshops and Challenges, 2021

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From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders

Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage

International Conference on Artificial Neural Networks, 2020

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Open Source Projects

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mlgym
MLGym

A python framework for distributed and reproducible machine learning model trainign in deep learning research

mlgym
DataStack

A stream-based file storage solution for machine learning datasets

mlgym
DashifyML

A lightweight tool to manage and track large scale machine learning experiments

Contact Information

Fill up the form and I will answer as soon as possible

maxluebbering@protonmail.com
Bonn, Germany

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