Publications

Carlos Enrique Muñiz-Cuza, Matthias Böhm, Torben Bach Pedersen

CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression

March 24, 2026

https://mboehm7.github.io/resources/edbt2026.pdf

Olga Ovcharenko, Matthias Boehm, Sebastian Schelter

SemPipes -- Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines

February 04, 2026

https://doi.org/10.48550/arXiv.2602.05134

Jonas Möller, Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck

Hardware-Triggered Backdoors

January 31, 2026

https://doi.org/10.48550/arXiv.2601.21902

Pattarawat Chormai, Klaus-Robert Müller, Grégoire Montavon

Investigating the Robustness of Subtask Distillation under Spurious Correlation

January 31, 2026

https://doi.org/10.48550/arXiv.2602.00852

Winfried Ripken, Michael Plainer, Gregor Lied, Thorben Frank, Oliver T. Unke, Stefan Chmiela, Frank Noé, Klaus-Robert Müller

Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics

January 30, 2026

https://doi.org/10.48550/arXiv.2601.22123

Angelos Zavras, Dimitrios Michail, Xiao Xiang Zhu, Begüm Demir, Ioannis Papoutsis

GAIA: A global, multimodal, multiscale vision–language dataset for remote sensing image analysis

January 30, 2026

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11364541

Leonard Hackel, Tom Burgert, Begüm Demir

How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models

January 30, 2026

https://doi.org/10.48550/arXiv.2601.22841

Sidney Bender, Marco Morik

Visual Disentangled Diffusion Autoencoders: Scalable Counterfactual Generation for Foundation Models

January 29, 2026

https://doi.org/10.48550/arXiv.2601.21851

Marvin Sextro, Weronika Kłos, Gabriel Dernbach

MapPFN: Learning Causal Perturbation Maps in Context

January 28, 2026

https://doi.org/10.48550/arXiv.2601.21092

Jing Yang, Moritz Hechtbauer, Elisabeth Khalilov, Evelyn Luise Brinkmann, Vera Schmitt, Nils Feldhus

Persona Prompting as a Lens on LLM Social Reasoning

January 28, 2026

https://doi.org/10.48550/arXiv.2601.20757

Publications

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ALL PUBLICATIONS

CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression

SemPipes -- Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines

Hardware-Triggered Backdoors

Investigating the Robustness of Subtask Distillation under Spurious Correlation

Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics

GAIA: A global, multimodal, multiscale vision–language dataset for remote sensing image analysis

How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models

Visual Disentangled Diffusion Autoencoders: Scalable Counterfactual Generation for Foundation Models

MapPFN: Learning Causal Perturbation Maps in Context

Persona Prompting as a Lens on LLM Social Reasoning