Lukas Pfahler

PhD student, TU Dortmund

Joined

May 2019

Names

Lukas Pfahler (Preferred)

Emails

****@udo.edu (Confirmed)

****@tu-dortmund.de (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

PhD student

TU Dortmund (tu-dortmund.de)

2016 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Self-Supervised Source Code Annotation from Related Research Papers
Pierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus
- 2021 (modified: 03 Apr 2022)
- ICDM (Workshops) 2021
- Readers: Everyone
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
- 2021 (modified: 03 Apr 2022)
- CoRR 2021
- Readers: Everyone
Noisy Labels for Weakly Supervised Gamma Hadron Classification
Lukas Pfahler, Mirko Bunse, Katharina Morik
- 2021 (modified: 03 Apr 2022)
- CoRR 2021
- Readers: Everyone
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
- 2021 (modified: 03 Apr 2022)
- DATE 2021
- Readers: Everyone
Very Fast Streaming Submodular Function Maximization
Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik
- 2021 (modified: 03 Apr 2022)
- ECML/PKDD (3) 2021
- Readers: Everyone
Explaining Deep Learning Representations by Tracing the Training Process
Lukas Pfahler, Katharina Morik
- 2021 (modified: 03 Apr 2022)
- CoRR 2021
- Readers: Everyone
Fighting Filterbubbles with Adversarial BERT-Training for News-Recommendation
Lukas Pfahler, Katharina Morik
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings
Lukas Pfahler, Jan Richter
- 2020 (modified: 03 Apr 2022)
- EDBT/ICDT Workshops 2020
- Readers: Everyone
Semantic Search in Millions of Equations
Lukas Pfahler, Katharina Morik
- 2020 (modified: 03 Apr 2022)
- KDD 2020
- Readers: Everyone
Generalized Negative Correlation Learning for Deep Ensembling
Sebastian Buschjäger, Lukas Pfahler, Katharina Morik
- 2020 (modified: 03 Apr 2022)
- CoRR 2020
- Readers: Everyone

View all 17 publications