Publications

Articles

Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation
Fabio Matti, Haoze He, Daniel Kressner, Hei Yin Lam. 2025. [arXiv, GitHub]

A Click Ahead: Real-Time Forecasting of Keyboard and Mouse Actions using RNNs and Computer Vision
Fabio Matti, Pierre Dillenbourg, Ludovico Novelli. 2023. [arXiv]

Talks

Krylov-augmented finite impulse response estimation
SWICCOMAS Annual Meeting 2026. [pdf]

Krylov-augmented finite impulse response estimation
GAMM ANLA 2025. [pdf]

Posters

Randomized spectral density estimation applied to neural network optimization
LoRAINNe’24: LOw-Rank Approximations and their Interactions with Neural NEtworks. 2024. [pdf]

Randomized trace estimation for parameter-dependent matrices applied to spectral density approximation
Swiss Numerical Analysis Day. 2024. [pdf]

Theses

Randomized estimation of spectral densities
Master’s thesis. 2024. [thesis, slides, poster, code]

Gradient boosting with explainable wavelength selection for learned spectral decoloring in optoacoustic imaging
Bachelor’s thesis. 2021. [thesis, code]