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ORCIDLukas Pfahler
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2020 – today
- 2023
[c13]Mirko Bunse
, Lukas Pfahler:
Class-Conditional Label Noise in Astroparticle Physics. ECML/PKDD (6) 2023: 19-35- [i7]Celine Wald, Lukas Pfahler:
Exposing Bias in Online Communities through Large-Scale Language Models. CoRR abs/2306.02294 (2023) - 2022
- [b1]Lukas Pfahler:
Some representation learning tasks and the inspection of their models. Technical University of Dortmund, Germany, 2022 - [c12]Sascha Mücke, Lukas Pfahler:
Check Mate: A Sanity Check for Trustworthy AI. LWDA 2022: 91-103 - [p2]Lukas Pfahler:
Millions of Formulas. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 160-177 - [p1]Wolfgang Rhode, Mirco Hünnefeld, Bernhard Spaan, Vukan Jevtic, Lukas Pfahler, Sebastian Buschjäger:
Deep Learning Applications. Mach. Learn. under Resour. Constraints Vol. 2 (2) 2022: 245-278 - [i6]Lukas Pfahler, Katharina Morik:
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles. CoRR abs/2209.00446 (2022) - 2021
- [c11]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: 673-678 - [c10]Pierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus:
Self-Supervised Source Code Annotation from Related Research Papers. ICDM (Workshops) 2021: 1083-1084 - [c9]Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik:
Very Fast Streaming Submodular Function Maximization. ECML/PKDD (3) 2021: 151-166 - [i5]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 abs/2102.01344 (2021) - [i4]Lukas Pfahler, Mirko Bunse, Katharina Morik:
Noisy Labels for Weakly Supervised Gamma Hadron Classification. CoRR abs/2108.13396 (2021) - [i3]Lukas Pfahler, Katharina Morik:
Explaining Deep Learning Representations by Tracing the Training Process. CoRR abs/2109.05880 (2021) - 2020
- [c8]Lukas Pfahler, Jan Richter:
Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings. EDBT/ICDT Workshops 2020 - [c7]Lukas Pfahler, Katharina Morik:
Semantic Search in Millions of Equations. KDD 2020: 135-143 - [c6]Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode:
On-Site Gamma-Hadron Separation with Deep Learning on FPGAs. ECML/PKDD (4) 2020: 478-493 - [i2]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 abs/2002.00909 (2020) - [i1]Sebastian Buschjäger, Lukas Pfahler, Katharina Morik:
Generalized Negative Correlation Learning for Deep Ensembling. CoRR abs/2011.02952 (2020)
2010 – 2019
- 2019
- [c5]Lukas Pfahler, Jonathan Schill, Katharina Morik:
The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions. ECML/PKDD (3) 2019: 704-718 - 2018
- [c4]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 - [c3]Lukas Pfahler, Katharina Morik:
Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent. ECML/PKDD (2) 2018: 209-224 - 2017
- [c2]Frederik Elwert, Samira Tabti, Volkhard Krech, Katharina Morik, Lukas Pfahler:
relNet - Modellierung von Themen und Strukturen religiöser Online-Kommunikation. DHd 2017 - [c1]Lukas Pfahler, Katharina Morik, Frederik Elwert, Samira Tabti, Volkhard Krech:
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization. DSAA 2017: 21-29
Coauthor Index
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