Wilson Wu

activity

20192026

most citedAnalyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering

8 citations · 9 across the 8 of their papers we have counts for

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2 papers · 1 filter

cs.LG2025

Bayesian Influence Functions for Hessian-Free Data Attribution

Philipp Alexander Kreer, Wilson Wu, Maxwell Adam +2

Classical influence functions face significant challenges when applied to deep neural networks, primarily due to non-invertible Hessians and high-dimensional parameter spaces. We p…

math.FA2025

C*-like modules and matrix $p$ -operator norms

Alessandra Calin, Ian Cartwright, Luke Coffman +5

We present a generalization of Hölder duality to algebra-valued pairings via $L^{p}$ -modules. Hölder duality states that if $p \in (1, \infty)$ and $p^{'}$ are conjugate exponen…

Bayesian Influence Functions for Hessian-Free Data Attribution

C*-like modules and matrix p-operator norms

C*-like modules and matrix $p$ -operator norms