Frederik Hoppe

According to our database, Frederik Hoppe authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Comparing Task-Agnostic Embedding Models for Tabular Data.

Frederik Hoppe, Lars Kleinemeier, Astrid Franz, Udo Göbel

CoRR, November, 2025

Universal Embeddings of Tabular Data.

Astrid Franz, Frederik Hoppe, Marianne Michaelis, Udo Göbel

CoRR, July, 2025

Generating Synthetic Relational Tabular Data via Structural Causal Models.

Frederik Hoppe, Astrid Franz, Lars Kleinemeier, Udo Göbel

CoRR, July, 2025

2024

With or Without Replacement? Improving Confidence in Fourier Imaging.

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut

CoRR, 2024

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images.

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Uncertainty Quantification For Learned ISTA.

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

High-Dimensional Confidence Regions in Sparse MRI.

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Uncertainty quantification for sparse Fourier recovery.

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut

CoRR, 2022