Nicolas Lell

According to our database, Nicolas Lell authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Lifelong Graph Summarization with Neural Networks: 2012, 2022, and a Time Warp.

Jonatan Frank, Marcel Hoffmann, Nicolas Lell, David Richerby, Ansgar Scherp

CoRR, 2024

Text Role Classification in Scientific Charts Using Multimodal Transformers.

Hye Jin Kim, Nicolas Lell, Ansgar Scherp

Proceedings of the Natural Language Processing and Information Systems, 2024

HyperAggregation: Aggregating over Graph Edges with Hypernetworks.

Nicolas Lell, Ansgar Scherp

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

On the Rule-Based Extraction of Statistics Reported in Scientific Papers.

Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp

Proceedings of the Natural Language Processing and Information Systems, 2023

Fine-Tuning Language Models for Scientific Writing Support.

Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp

Proceedings of the Machine Learning and Knowledge Extraction, 2023

The Split Matters: Flat Minima Methods for Improving the Performance of GNNs.

Nicolas Lell, Ansgar Scherp

Proceedings of the Machine Learning and Knowledge Extraction, 2023

Memorization of Named Entities in Fine-Tuned BERT Models.

Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp

Proceedings of the Machine Learning and Knowledge Extraction, 2023

2022

Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO.

Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp

J. Data Intell., 2022

A Study on Extracting Named Entities from Fine-tuned vs. Differentially Private Fine-tuned BERT Models.

Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp

CoRR, 2022

Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting.

Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp

CoRR, 2022

2021

A Machine Learning Pipeline for Automatic Extraction of Statistic Reports and Experimental Conditions from Scientific Papers.

Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp

CoRR, 2021

STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers.

Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp

Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021