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Wilson Wu

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 0SourceScholar
2025

Towards a Unified and Verified Understanding of Group-Operation Networks

ICLR 2025spotlight

A recent line of work in mechanistic interpretability has focused on reverse-engineering the computation performed by neural networks trained on the binary operation of finite groups. We investigate the internals of one-hidden-layer neural networks trained on this task, revealing previously unidenti…

Cited by 0SourcePDFScholar