Lukas Pfahler

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 20

Top Topics

Error Tolerance

Norm Regularization

Weakly Supervised

Top Venues

Publications

Celine Wald, Lukas Pfahler
Exposing Bias in Online Communities through Large-Scale Language Models. CoRR (2023)
Mirko Bunse, Lukas Pfahler
Class-Conditional Label Noise in Astroparticle Physics. ECML/PKDD (6) (2023)
Lukas Pfahler, Katharina Morik
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles. CoRR (2022)
Sascha Mücke, Lukas Pfahler
Check Mate: A Sanity Check for Trustworthy AI. LWDA (2022)
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Bit Error Tolerance Metrics for Binarized Neural Networks. CoRR (2021)
Pierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus
Self-Supervised Source Code Annotation from Related Research Papers. ICDM (Workshops) (2021)
Lukas Pfahler, Mirko Bunse, Katharina Morik
Noisy Labels for Weakly Supervised Gamma Hadron Classification. CoRR (2021)
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance. DATE (2021)
Lukas Pfahler, Katharina Morik
Explaining Deep Learning Representations by Tracing the Training Process. CoRR (2021)
Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik
Very Fast Streaming Submodular Function Maximization. ECML/PKDD (3) (2021)
Lukas Pfahler, Katharina Morik
Semantic Search in Millions of Equations. KDD (2020)
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. CoRR (2020)
Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode
On-Site Gamma-Hadron Separation with Deep Learning on FPGAs. ECML/PKDD (4) (2020)
Sebastian Buschjäger, Lukas Pfahler, Katharina Morik
Generalized Negative Correlation Learning for Deep Ensembling. CoRR (2020)
Lukas Pfahler, Jan Richter
Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings. EDBT/ICDT Workshops (2020)
Lukas Pfahler, Jonathan Schill, Katharina Morik
The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions. ECML/PKDD (3) (2019)
Lukas Pfahler, Katharina Morik
Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent. ECML/PKDD (2) (2018)
Lukas Pfahler, Frederik Elwert, Samira Tabti, Katharina Morik, Volker Krech
What do you do with 5 million posts? Versuche zum distant reading religiöser Online-Foren. DHd (2018)
Lukas Pfahler, Katharina Morik, Frederik Elwert, Samira Tabti, Volkhard Krech
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization. DSAA (2017)
Frederik Elwert, Samira Tabti, Volkhard Krech, Katharina Morik, Lukas Pfahler
relNet - Modellierung von Themen und Strukturen religiöser Online-Kommunikation. DHd (2017)