Lukas Fesser

According to our database, Lukas Fesser authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing.

Lukas Fesser, Melanie Weber

CoRR, March, 2025

Enhancing the Utility of Higher-Order Information in Relational Learning.

Raphael Pellegrin, Lukas Fesser, Melanie Weber

CoRR, February, 2025

Multimodal Medical Code Tokenizer.

Xiao-Rui Su, Shvat Messica, Yepeng Huang, Ruth Johnson, Lukas Fesser, Shanghua Gao, Faryad Sahneh, Marinka Zitnik

CoRR, February, 2025

2024

STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers.

Daqian Shao, Lukas Fesser, Marta Kwiatkowska

CoRR, 2024

Unitary Convolutions for Learning on Graphs and Groups.

Bobak T. Kiani, Lukas Fesser, Melanie Weber

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Effective Structural Encodings via Local Curvature Profiles.

Lukas Fesser, Melanie Weber

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks.

Lukas Fesser, Richard Qiu, Luca D'Amico-Wong

CoRR, 2023

Augmentations of Forman's Ricci Curvature and their Applications in Community Detection.

Lukas Fesser, Sergio Serrano de Haro Iváñez, Karel Devriendt, Melanie Weber, Renaud Lambiotte

CoRR, 2023

Mitigating Over-Smoothing and Over-Squashing Using Augmentations of Forman-Ricci Curvature.

Lukas Fesser, Melanie Weber

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023