Phase unwrapping and denoising for time-of-flight imaging using generalized approximate message passing. - Jonathan Mei; Ahmed Kirmani; Andrea Colaco; Vivek K. Goyal (ICIP, 2013)

Fitting graph models to big data. - Jonathan Mei; José M. F. Moura (ACSSC, 2015)

Signal processing on graphs: Estimating the structure of a graph. - Jonathan Mei; José M. F. Moura (ICASSP, 2015)

Signal Processing on Graphs: Modeling (Causal) Relations in Big Data. - Jonathan Mei; José M. F. Moura (CoRR, 2015)

Signal processing on graphs: Performance of graph structure estimation. - Jonathan Mei; José M. F. Moura (ICASSP, 2016)

Signal Processing on Graphs: Causal Modeling of Unstructured Data. - Jonathan Mei; José M. F. Moura (IEEE Trans. Signal Process., 2017)

Single Index Latent Variable Models for Network Topology Inference. - Jonathan Mei; José M. F. Moura (GlobalSIP, 2018)

EigenNetworks. - Jonathan Mei; José M. F. Moura (CoRR, 2018)

SILVar: Single Index Latent Variable Models. - Jonathan Mei; José M. F. Moura (IEEE Trans. Signal Process., 2018)

Principal Network Analysis. - Jonathan Mei (2018)

KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization. - Jonathan Mei; Alexander Moreno; Luke Walters (UAI, 2023)

SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels. - Alexander Moreno; Jonathan Mei; Luke Walters (CoRR, 2023)

Natural Language, AI, and Quantum Computing in 2024: Research Ingredients and Directions in QNLP. - Dominic Widdows; Willie Aboumrad; Dohun Kim; Sayonee Ray; Jonathan Mei (CoRR, 2024)

Quantum Natural Language Processing. - Dominic Widdows; Willie Aboumrad; Dohun Kim; Sayonee Ray; Jonathan Mei (Künstliche Intell., 2024)

The Price of Linear Time: Error Analysis of Structured Kernel Interpolation. - Alexander Moreno; Justin Xiao; Jonathan Mei (CoRR, 2025)

Quantum Large Language Model Fine-Tuning. - Sang Hyub Kim; Jonathan Mei; Claudio Girotto; Masako Yamada; Martin Roetteler (CoRR, 2025)