Lukas Pfahler

According to our database, Lukas Pfahler authored at least 23 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Exposing Bias in Online Communities through Large-Scale Language Models.

Celine Wald, Lukas Pfahler

CoRR, 2023

Class-Conditional Label Noise in Astroparticle Physics.

Mirko Bunse, Lukas Pfahler

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022

Some representation learning tasks and the inspection of their models.

Lukas Pfahler

PhD thesis, 2022

Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles.

Lukas Pfahler, Katharina Morik

CoRR, 2022

Check Mate: A Sanity Check for Trustworthy AI.

Sascha Mücke, Lukas Pfahler

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

Deep Learning Applications.

Wolfgang Rhode, Mirco Hünnefeld, Bernhard Spaan, Vukan Jevtic, Lukas Pfahler, Sebastian Buschjäger

Proceedings of the Machine Learning under Resource Constraints, 2022

Millions of Formulas.

Lukas Pfahler

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

2021

Explaining Deep Learning Representations by Tracing the Training Process.

Lukas Pfahler, Katharina Morik

CoRR, 2021

Noisy Labels for Weakly Supervised Gamma Hadron Classification.

Lukas Pfahler, Mirko Bunse, Katharina Morik

CoRR, 2021

Bit Error Tolerance Metrics for Binarized Neural Networks.

Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla

CoRR, 2021

Very Fast Streaming Submodular Function Maximization.

Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Self-Supervised Source Code Annotation from Related Research Papers.

Pierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus

Proceedings of the 2021 International Conference on Data Mining, 2021

Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance.

Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Generalized Negative Correlation Learning for Deep Ensembling.

Sebastian Buschjäger, Lukas Pfahler, Katharina Morik

CoRR, 2020

Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks.

Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla

CoRR, 2020

On-Site Gamma-Hadron Separation with Deep Learning on FPGAs.

Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Semantic Search in Millions of Equations.

Lukas Pfahler, Katharina Morik

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings.

Lukas Pfahler, Jan Richter

Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

2019

The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions.

Lukas Pfahler, Jonathan Schill, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent.

Lukas Pfahler, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

What do you do with 5 million posts? Versuche zum distant reading religiöser Online-Foren.

Lukas Pfahler, Frederik Elwert, Samira Tabti, Katharina Morik, Volker Krech

Proceedings of the 5. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2018

2017

Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization.

Lukas Pfahler, Katharina Morik, Frederik Elwert, Samira Tabti, Volkhard Krech

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

relNet - Modellierung von Themen und Strukturen religiöser Online-Kommunikation.

Frederik Elwert, Samira Tabti, Volkhard Krech, Katharina Morik, Lukas Pfahler

Proceedings of the 4. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2017