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Carlos Enrique Muñiz-Cuza, Matthias Böhm, Torben Bach Pedersen
CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression
Aaron Louis Eidt, Nils Feldhus
Simplifying Outcomes of Language Model Component Analyses with ELIA
Laure Ciernik, Agnieszka Kraft, Florian Barkmann, Josephine Yates, Valentina Boeva
Robust and efficient annotation of cell states through gene signature scoring
Olga Ovcharenko, Matthias Boehm, Sebastian Schelter
SemPipes -- Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines
Jonas Möller, Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck
Hardware-Triggered Backdoors
Pattarawat Chormai, Klaus-Robert Müller, Grégoire Montavon
Investigating the Robustness of Subtask Distillation under Spurious Correlation
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
Angelos Zavras, Dimitrios Michail, Xiao Xiang Zhu, Begüm Demir, Ioannis Papoutsis
GAIA: A global, multimodal, multiscale vision–language dataset for remote sensing image analysis
Leonard Hackel, Tom Burgert, Begüm Demir
How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models
Sidney Bender, Marco Morik