5 papers
Human Preference aligned Tabular Similarity
Frederik Hoppe, Astrid Franz, Marianne Michaelis +2
Task-agnostic tabular embeddings are increasingly used for similarity search in real-world business systems such as Product Lifecycle Management (PLM). However, leading embedding a…
Comparing Task-Agnostic Embedding Models for Tabular Data
Frederik Hoppe, Lars Kleinemeier, Astrid Franz +1
Recent foundation models for tabular data achieve strong task-specific performance via in-context learning. Nevertheless, they focus on direct prediction by encapsulating both repr…
SHREC 2025: Protein surface shape retrieval including electrostatic potential
Taher Yacoub, Camille Depenveiller, Atsushi Tatsuma +25
This SHREC 2025 track dedicated to protein surface shape retrieval involved 9 participating teams. We evaluated the performance in retrieval of 15 proposed methods on a large datas…
Universal Embeddings of Tabular Data
Astrid Franz, Frederik Hoppe, Marianne Michaelis +1
Tabular data in relational databases represents a significant portion of industrial data. Hence, analyzing and interpreting tabular data is of utmost importance. Application tasks…
Generating Synthetic Relational Tabular Data via Structural Causal Models
Frederik Hoppe, Astrid Franz, Lars Kleinemeier +1
Synthetic tabular data generation has received increasing attention in recent years, particularly with the emergence of foundation models for tabular data. The breakthrough success…