Lukas Pfahler

23 papers A* 1A 1B 1Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2023 — conf
Class-Conditional Label Noise in Astroparticle Physics.
ECML/PKDD (6)
Mirko Bunse, Lukas Pfahler
2023 J jnl
Exposing Bias in Online Communities through Large-Scale Language Models.
CoRR
Celine Wald, Lukas Pfahler
2022 — conf
Check Mate: A Sanity Check for Trustworthy AI.
LWDA
Sascha Mücke, Lukas Pfahler
2022 — ch.
Deep Learning Applications.
Mach. Learn. under Resour. Constraints Vol. 2 (2)
Wolfgang Rhode, Mirco Hünnefeld, Bernhard Spaan, Vukan Jevtic, Lukas Pfahler, Sebastian Buschjäger
2022 — ch.
Millions of Formulas.
Mach. Learn. under Resour. Constraints Vol. 1 (1)
Lukas Pfahler
2022 J jnl
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles.
CoRR
Lukas Pfahler, Katharina Morik
2022 — —
Some representation learning tasks and the inspection of their models.
Lukas Pfahler
2021 J jnl
Bit Error Tolerance Metrics for Binarized Neural Networks.
CoRR
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2021 J jnl
Explaining Deep Learning Representations by Tracing the Training Process.
CoRR
Lukas Pfahler, Katharina Morik
2021 A conf
Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance.
DATE
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2021 J jnl
Noisy Labels for Weakly Supervised Gamma Hadron Classification.
CoRR
Lukas Pfahler, Mirko Bunse, Katharina Morik
2021 — conf
Self-Supervised Source Code Annotation from Related Research Papers.
ICDM (Workshops)
Pierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus
2021 — conf
Very Fast Streaming Submodular Function Maximization.
ECML/PKDD (3)
Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik
2020 J jnl
Generalized Negative Correlation Learning for Deep Ensembling.
CoRR
Sebastian Buschjäger, Lukas Pfahler, Katharina Morik
2020 — conf
Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings.
EDBT/ICDT Workshops
Lukas Pfahler, Jan Richter
2020 — conf
On-Site Gamma-Hadron Separation with Deep Learning on FPGAs.
ECML/PKDD (4)
Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode
2020 A* conf
Semantic Search in Millions of Equations.
KDD
Lukas Pfahler, Katharina Morik
2020 J jnl
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks.
CoRR
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2019 — conf
The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions.
ECML/PKDD (3)
Lukas Pfahler, Jonathan Schill, Katharina Morik
2018 — conf
Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent.
ECML/PKDD (2)
Lukas Pfahler, Katharina Morik
2018 — conf
What do you do with 5 million posts? Versuche zum distant reading religiöser Online-Foren.
DHd
Lukas Pfahler, Frederik Elwert, Samira Tabti, Katharina Morik, Volker Krech
2017 B conf
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization.
DSAA
Lukas Pfahler, Katharina Morik, Frederik Elwert, Samira Tabti, Volkhard Krech
2017 — conf
relNet - Modellierung von Themen und Strukturen religiöser Online-Kommunikation.
DHd
Frederik Elwert, Samira Tabti, Volkhard Krech, Katharina Morik, Lukas Pfahler