3 papers
math.SP2026
Spectral Effects Of Heavy-Tailed Vertex Noise In Geometric Graphs
Ben Cardoen, Jeremy Budd, Enrico Amico +2
We characterize which local matrix structures saturate Weyl's eigenvalue perturbation bound for graph Laplacians under geometrically constrained vertex displacements. Geometric gra…
cs.LG2025
Graph Laplacian-based Bayesian Multi-fidelity Modeling
Orazio Pinti, Jeremy M. Budd, Franca Hoffmann +1
We present a novel probabilistic approach for generating multi-fidelity data while accounting for errors inherent in both low- and high-fidelity data. In this approach a graph Lapl…
cs.LG2025
SplInterp: Improving our Understanding and Training of Sparse Autoencoders
Jeremy Budd, Javier Ideami, Benjamin Macdowall Rynne +2
Sparse autoencoders (SAEs) have received considerable recent attention as tools for mechanistic interpretability, showing success at extracting interpretable features even from ver…