3 papers
cs.LG2026
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…
cs.LG2025
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…
cs.LG2025
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…