4 papers
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…
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…
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…
ClaudesLens: Uncertainty Quantification in Computer Vision Models
Mohamad Al Shaar, Nils Ekström, Gustav Gille +2
In a world where more decisions are made using artificial intelligence, it is of utmost importance to ensure these decisions are well-grounded. Neural networks are the modern build…