Nicolas Lell

19 papers A* 1B 1C 5Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs.
ICML
Nicolas Lell, Ansgar Scherp
2025 J jnl
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs.
CoRR
Nicolas Lell, Ansgar Scherp
2024 B conf
HyperAggregation: Aggregating over Graph Edges with Hypernetworks.
IJCNN
Nicolas Lell, Ansgar Scherp
2024 J jnl
HyperAggregation: Aggregating over Graph Edges with Hypernetworks.
CoRR
Nicolas Lell, Ansgar Scherp
2024 — conf
Lifelong Graph Learning for Graph Summarization.
WI/IAT
Jonatan Frank, Marcel Hoffmann, Nicolas Lell, David Richerby, Ansgar Scherp
2024 J jnl
Lifelong Graph Summarization with Neural Networks: 2012, 2022, and a Time Warp.
CoRR
Jonatan Frank, Marcel Hoffmann, Nicolas Lell, David Richerby, Ansgar Scherp
2024 — conf
Text Role Classification in Scientific Charts Using Multimodal Transformers.
NLDB (1)
Hye Jin Kim, Nicolas Lell, Ansgar Scherp
2024 J jnl
Text Role Classification in Scientific Charts Using Multimodal Transformers.
CoRR
Hye Jin Kim, Nicolas Lell, Ansgar Scherp
2023 C conf
Fine-Tuning Language Models for Scientific Writing Support.
CD-MAKE
Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
2023 J jnl
Fine-Tuning Language Models for Scientific Writing Support.
CoRR
Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
2023 C conf
Memorization of Named Entities in Fine-Tuned BERT Models.
CD-MAKE
Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp
2023 C conf
On the Rule-Based Extraction of Statistics Reported in Scientific Papers.
NLDB
Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
2023 C conf
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs.
CD-MAKE
Nicolas Lell, Ansgar Scherp
2023 J jnl
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs.
CoRR
Nicolas Lell, Ansgar Scherp
2022 J jnl
A Study on Extracting Named Entities from Fine-tuned vs. Differentially Private Fine-tuned BERT Models.
CoRR
Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp
2022 J jnl
Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO.
J. Data Intell.
Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp
2022 J jnl
Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting.
CoRR
Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
2021 J jnl
A Machine Learning Pipeline for Automatic Extraction of Statistic Reports and Experimental Conditions from Scientific Papers.
CoRR
Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp
2021 C conf
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers.
iiWAS
Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp