← Search

Philipp Alexander Kreer

2 accepted papers

2026

Bayesian Influence Functions for Hessian-Free Data Attribution

ICLR 2026poster

Classical influence functions face significant challenges when applied to deep neural networks, primarily due to non-invertible Hessians and high-dimensional parameter spaces. We propose the local Bayesian influence function (BIF), an extension of classical influence functions that replaces Hessian…

Cited by 0Source ↗Scholar ↗
2025

Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models

NeurIPS 2025poster

Capability evaluations play a crucial role in assessing and regulating frontier AI systems. The effectiveness of these evaluations faces a significant challenge: strategic underperformance, or ``sandbagging'', where models deliberately underperform during evaluation. Sandbagging can manifest either…

Cited by 0Source ↗code ↗Scholar ↗