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cs.LG2026
Active Feature Acquisition With Incomplete Training Data
Reza Rezvan, Valter Schütz, Han Wu +2
In many prediction tasks, acquiring all features can be a prohibitively expensive or outright impossible task. Further, in many cases a static subset of features may not be enough…
cs.LG2026
Causality--Δ: Jacobian-Based Dependency Analysis in Flow Matching Models
Reza Rezvan, Gustav Gille, Moritz Schauer +1
Flow matching learns a velocity field that transports a base distribution to data. We study how small latent perturbations propagate through these flows and show that Jacobian-vect…
cs.LG2025
AFABench: A Generic Framework for Benchmarking Active Feature Acquisition
Valter Schütz, Han Wu, Reza Rezvan +2
In many real-world scenarios, acquiring all features of a data instance can be expensive or impractical due to monetary cost, latency, or privacy concerns. Active Feature Acquisiti…