Frederik Hoppe

12 papers A* 1Misc 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comparing Task-Agnostic Embedding Models for Tabular Data.
CoRR
Frederik Hoppe, Lars Kleinemeier, Astrid Franz, Udo Göbel
2025 J jnl
Generating Synthetic Relational Tabular Data via Structural Causal Models.
CoRR
Frederik Hoppe, Astrid Franz, Lars Kleinemeier, Udo Göbel
2025 J jnl
Universal Embeddings of Tabular Data.
CoRR
Astrid Franz, Frederik Hoppe, Marianne Michaelis, Udo Göbel
2024 J jnl
High-Dimensional Confidence Regions in Sparse MRI.
CoRR
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2024 — conf
Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images.
ECCV (78)
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut
2024 A* conf
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
NeurIPS
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2024 J jnl
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
CoRR
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2024 J jnl
With or Without Replacement? Improving Confidence in Fourier Imaging.
CoRR
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut
2023 Misc conf
High-Dimensional Confidence Regions in Sparse MRI.
ICASSP
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2023 — conf
Uncertainty Quantification For Learned ISTA.
MLSP
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2023 J jnl
Uncertainty quantification for learned ISTA.
CoRR
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut
2022 J jnl
Uncertainty quantification for sparse Fourier recovery.
CoRR
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut