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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Published:
cross-published in towardsdatascience.com
Published in INFORMATIK, 2017
Recommended citation: Lukas Galke, Ahmed Saleh, Ansgar Scherp, "Word Embeddings for Practical Information Retrieval." INFORMATIK, 2017. https://dl.gi.de/handle/20.500.12116/3987
Published in Knowledge Capture Conference, 2017
Recommended citation: Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp, "Using Titles vs. Full-text As Source for Automated Semantic Document Annotation." Knowledge Capture Conference, 2017. https://dl.acm.org/doi/abs/10.1145/3148011.3148039
Published in Joint Conference on Digital Libraries, 2018
Recommended citation: Anne Lauscher, Kai Eckert, Lukas Galke, Ansgar Scherp, Syed Rizvi, Sheraz Ahmed, Andreas Dengel, Philipp Zumstein, Annette Klein, "Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph." 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018. http://doi.acm.org/10.1145/3197026.3197050
Published in Maturity and Innovation in Digital Libraries, 2018
Recommended citation: Ahmed Saleh, Tilman Beck, Lukas Galke, Ansgar Scherp, "Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents." Maturity and Innovation in Digital Libraries, 2018.
Published in ACM Recommender Systems Challenge, 2018
Recommended citation: Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp, "Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation." ACM Recommender Systems Challenge, 2018. http://doi.acm.org/10.1145/3267471.3267476
Published in Joint Conference on Digital Libraries, 2018
Recommended citation: Florian Mai, Lukas Galke, Ansgar Scherp, "Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text." Joint Conference on Digital Libraries, 2018. http://doi.acm.org/10.1145/3197026.3197039
Published in Conference on User Modeling, Adaptation and Personalization, 2018
Recommended citation: Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp, "Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels." 26th Conference on User Modeling, Adaptation and Personalization, 2018. https://dl.acm.org/doi/10.1145/3209219.3209236
Published in Database and Expert Systems Applications, 2018
Recommended citation: Lukas Galke, Gunnar Gerstenkorn, Ansgar Scherp, "A Case Study of Closed-Domain Response Suggestion with Limited Training Data." Database and Expert Systems Applications, 2018. https://doi.org/10.1007/978-3-319-99133-7_18
Published in Representation Learning on Graphs and Manifolds, ICLR Workshop, 2019
Recommended citation: Lukas Galke, Iacopo Vagliano, Ansgar Scherp, "Can Graph Neural Networks Go `Online`? An Analysis of Pretraining and Inference." Representation Learning on Graphs and Manifolds, ICLR Workshop, 2019. https://rlgm.github.io/papers/21.pdf
Published in International Conference on Learning Representations, 2019
Recommended citation: Florian Mai, Lukas Galke, Ansgar Scherp, "CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model." International Conference on Learning Representations, 2019. https://openreview.net/forum?id=H1MgjoR9tQ
Published in INFORMATIK, 2019
Recommended citation: Lukas Galke, Tetyana Melnychuk, Eva Seidlmayer, Steffen Trog, Konrad Foerstner, Carsten Schultz, Klaus Tochtermann, "Inductive Learning of Concept Representations from Library-Scale Corpora with Graph Convolution." INFORMATIK, 2019. https://dl.gi.de/handle/20.500.12116/24973
Published in INFORMATIK 2019, 2019
An extended abstract on our ICLR paper.
Recommended citation: Lukas Galke, Florian Mai, Ansgar Scherp, "What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function?." INFORMATIK, 2019.
Published in Hochschulmanagement, 2021
Download the complete issue here
Recommended citation: Tetyana Melnychuk, Lukas Galke, Eva Seidlmayer, Konrad Förstner, Klaus Tochtermann, Carsten Schultz, "Früherkennung wissenschaftlicher Konvergenz im Hochschulmanagement." Hochschulmanagement, 2021. https://www.universitaetsverlagwebler.de/_files/ugd/7bac3c_24fe9adc2e3740178ad5ba98f66d1931.pdf
Published in International Joint Conference on Neural Networks, 2021
Recommended citation: Lukas Galke, Benedikt Franke, Tobias Zielke, Ansgar Scherp, "Lifelong Learning of Graph Neural Networks for Open-World Node Classification." International Joint Conference on Neural Networks, 2021. https://doi.org/10.1109/IJCNN52387.2021.9533412
Published in 2021 IEEE International Conference on Big Data (Big Data), 2021
Contribution to the workshop on Big Data Analysis for COVID-19 at IEEE Big Data.
Download here
Published in EmeCom workshop at ICLR 2022, 2022
Recommended citation: Lukas Galke, Yoav Ram, Limor Raviv, "Lifelong Learning of Graph Neural Networks for Open-World Node Classification." Emergent Communication workshop at ICLR, 2021. https://openreview.net/forum?id=rqUGZQ-0XZ5
Published in Information Retrieval Journal, 2022
Download here
Published in 60th Meeting of the Association for Computational Linguistics (ACL), 2022
To appear at ACL 2022.
Recommended citation: Lukas Galke, Ansgar Scherp, "Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP" ACL 2022. https://arxiv.org/abs/2109.03777
Published:
I presented the research of this paper, which was a shortened version of my M.Sc. thesis.
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I jumped in to present in place of my colleague Ahmed Saleh, who could not attend the conference.
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I presented the research of the paper with the same title.
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I presented the paper with the same title.
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Together with Florian Mai, I presented the paper with the same title in a poster session.
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In the Representation Learning on Graphs and Manifolds workshop, I presented the paper with the same title with a poster.
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I gave a talk on our ICLR paper, which we submitted to the workshop in an extended abstract
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I gave a talk to present the results from this paper.
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I presented a summary of research on scaling up graph neural networks.
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I presented the paper with the same title with a pre-recorded video (I plan to make it available, please remind me, if curious).
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I presented our contribution to the workshop on Big Data Analysis for COVID-19 research.
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Limor Raviv and I led a discussion session on our workshop paper Emergent Communication for Understanding Human Language Evolution.
Undergraduate course, Kiel University, 2014
Bachelor course. Graded exercises and exams, co-designed exams, led tutorial sessions (2 semester hours).
Undergraduate course, Kiel University, 2015
Bachelor course. Graded exercises and exams, co-designed exams, led tutorial sessions (2 semester hours).
Undergraduate course, Kiel University, 2017
Bachelor course. Graded exercises and exams, led tutorial sessions (2 semester hours).
Undergraduate course, Kiel University, 2018
Bachelor course. Co-designed and graded exercises and exams, led tutorial sessions (2 semester hours).
Undergraduate course, Kiel University, 2019
Bachelor course. Designed exercies and co-designed exams, graded exams, led tutorial sessions (2x2 semester hours), cooridnation of the tutorials.